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July 30, 2007

What is learning?

Yesterday, we explored a definition for knowledge. Today, let’s look to defining learning and how it differs from knowledge. Returning to the American Heritage Dictionary, learning can be defined as “the act, process, or experience of gaining knowledge or skill; knowledge or skill gained through schooling or study.” Aha! So there is an acknowledged link between knowledge and learning! However, it’s important to note that learning includes the idea of skill acquisition as well.

So let’s return to my working definition of knowledge and break it down in light of this basic definition of learning:

- Knowledge feeds learning

This seems very consistent with the basic definition of learning.

- Learning provides an environment that enables the learner to not only acquire knowledge but also create new knowledge

The American Heritage Dictionary definition of learning addresses the acquisition of knowledge, but it does not address the higher-order thinking skills related to creating new knowledge. It also suggests that learning may be restricted to only formal education, but we know that much learning occurs informally and even on-the-job.

- Performance is the result of what happens when knowledge and learning work in concert with one another.

Looking at the definition of learning, I must consider whether my equation of Knowledge + Learning = Performance is flawed. If I convert the equation to reflect the learning definition, it would read: Knowledge + Knowledge + Skill = Performance. Or would that be 2K + S = P? But I digress (especially considering that we are using the term "equation" somewhat loosely—as a conceptual equation rather than a purely mathematical one).

The important thing for us to remember from this discussion is that knowledge is an integral portion of learning and both knowledge and learning need each other to yield the desired performance.

References:

Learning. (n.d.). The American Heritage® Dictionary of the English Language, Fourth Edition. Retrieved July 28, 2007, from Answers.com Web site: http://www.answers.com/topic/learning

- Robin

Copyright Robin Donnan 2007. All Rights Reserved.
Performance Associates, Inc.

August 9, 2007

Learning delivery method options and their relative cost and effort

In working with clients on numerous workplace learning and performance improvement projects over the years, I’ve carefully tracked work hours and made observations about the relative work effort involved with the different training delivery methods most often utilized. This has helped in being able to answer that most common of client questions, “Well, how much will it be or how long will it take if we use approach X versus Y?”

What I’ve developed to help answer this question is two-fold: a comparison of the pros and cons of the most common delivery methods and then a diagram that places those options on a continuum from least effort/least cost to most effort/most cost.

First, to look at the pros and cons of the different delivery options:

1. Classroom
Pros:
- Can be changed “on the fly” (i.e., the facilitator can improvise and make adjustments immediately before or even during the session in order to customize the training to meet the audience’s needs)
- Materials are easily updated
- Excellent for practicing “soft skills” such as listening, interviewing, etc. where non-verbal skills also need to be practiced and evaluated; this is also desirable when role plays or other one-on-one activities with other students and/or coaching from the facilitator is needed
Cons:
- Requires coordination and payment for instructors and space
- May require travel for facilitators and/or participants
- Does not address recurring training needs for new hires, refresher, etc.

2. Synchronous web conference
Pros:
- Easy to build and deliver (especially if content expert will also be facilitating the sessions)
- Updates can be made prior to session
- No travel required
- Some interactivity can be added
Cons:
- Requires instructors skilled in facilitating web conference sessions
- Requires coordination of instructors and session times
- Requires web conferencing capabilities
- While an option, recording a live synchronous web conference typically is not an ideal way to handle recurring training needs

3. Asynchronous / recorded session
Pros:
- Very quick to develop
- Can be completed on-demand
Cons:
- Passive learner experience (participants are merely watching and listening)

4. Interactive text and graphics elearning (from moderate to robust)
Pros:
- Can be completed on-demand
- Active learner experience through use of multiple choice, drag and drop, text entry
- Excellent for ensuring cognitive understanding of concepts and theories
Cons:
- Updates typically require some programming skill or an XML editor

5. Interactive multimedia programs
Pros:
- Can be completed on-demand
- Very active
- Able to participate in realistic job simulations / games
- Very sophisticated level of graphics and use of multimedia
Cons:
- Much more expensive and time consuming to develop

Now, when we place these main delivery options on a relative continuum from easiest to hardest we get something that looks like this:

DeliveryOptionsContinuum.jpg

In looking at this continuum, it’s important to remember that we’re looking at typical effort and cost per hour of training developed. For example, a 1 hour robust interactive text and graphics elearning program could require as much effort and budget as a 4 hour series of asynchronous recorded sessions. While what I’ve presented here is not meant as a hard and fast rule, this does provide an excellent way to frame conversations around delivery options and their required effort and costs so as to help clients make informed decisions for their workplace learning and performance improvement solutions.

- Robin

Copyright Robin Donnan 2007. All Rights Reserved.
Performance Associates, Inc.

August 14, 2007

Recommended reading list for workplace learning & performance improvement

When talking with people about workplace learning and performance improvement, I’ve often been asked what books I would recommend for someone who wants to learn more about this profession. So, here’s my list of recommended books on workplace learning and performance improvement.

- ASTD Training and Development Handbook: A Guide to Human Resource Development edited by Robert Craig

- Evaluating Training Programs: The Four Levels by Donald Kirkpatrick

- Games Trainers Play (any in this series of books by Edward Scannell and John Newstrom)

- Handbook of Job Aids by Allison Rossett and Jeannette Gautier-Downes

- Mager Six-Pack by Robert Mager (includes Analyzing Performance Problems, Preparing Instructional Objectives, Measuring Instructional Results, How to Turn Learners On…without turning them off, Goal Analysis, and Making Instruction Work)

- Performance Consulting by Dana and James Robinson

- Principles of Instructional Design by Robert Gagne, Walter Wager, Katherine Golas, and John Keller

- Sivasailam "Thiagi" Thiagarajan books for creative activity ideas (most recently Thiagi's 100 Favorite Games)

- Training Needs Assessment by Allison Rossett


For elearning in particular:

- Advanced Web-Based Training Strategies by Margaret Driscoll

- Don't Make Me Think: A Common Sense Approach to Web Usability by Steve Krug

- Elements of User Interface Design by Theo Mandel

- Learning by Doing: A Comprehensive Guide to Simulations, Computer Games, and Pedagogy in e-Learning and Other Educational Experiences by Clark Aldrich

- Michael Allen’s Guide to elearning

- Designing Web-Based Training: How to Teach Anyone Anything Anywhere Anytime by William Horton

- Web-Based Training: Designing e-Learning Experiences by Margaret Driscoll


And here are some excellent book recommendations that were originally recommended to me by my good friend and colleague Jule Kucera:

- Accelerated Learning Handbook: A Creative Guide to Designing and Delivering Faster, More Effective Training Programs by Dave Meier

- Informal Learning: Rediscovering the Natural Pathways That Inspire Innovation and Performance by Jay Cross

- Six Disciplines of Breakthrough Learning: How to Turn Training and Development Into Business Results by Calhoun Wick, Roy Pollock, Andrew McK. Jefferson, Richard Flanagan, and Kevin Wilde

- So Each May Learn: Integrating Learning Styles and Multiple Intelligences by Harvey Silver, Richard Strong, and Matthew Perini

- Telling Ain't Training by Harold Stolovitch


I hope these lists help you to find a new book you may not have heard of before. I’m always reading through new books, so would love to hear what you have on your bookshelf!


- Robin

Copyright Robin Donnan 2007. All Rights Reserved.
Performance Associates, Inc.

August 27, 2007

Learning Management Case Study, Part 1

Beginning in 2003, I had the distinct pleasure to work with the construction management function of a large real estate investment trust (REIT). During this time, I collaborated with the client team to not just develop training but more so to assist their team of new construction function leaders as they grappled with a position change that represented two leadership pipeline turns (from managing others to functional leader), dramatic changes to their processes, and a particularly challenging and annually changing structure. Beginning with today’s post, I’ll share some of what we learned along the way over the course of this 3-year project and relationship.

Analyze Employee Performance

Before delving into what we discovered during the performance analysis phase, it’s important to understand that in a REIT construction managers have responsibility for coordinating the construction of office space per a tenant’s specifications and the budget made available via the terms of the lease. This company’s construction management function included personnel at each of their 10 regional offices; typically, this included a Senior Construction Manager (or Director of Construction), a number of Construction Managers, and a Construction Management Administrative Assistant.

Stakeholders and Expectations

The key stakeholders for the construction management function were leasing, property management, and the corporate office. The expectations for each stakeholder group were as follows:

Leasing’s Expectations:
- Complete the construction efforts within the available budget
- Demonstrate how the tenant improvement (TI) process can help Leasing sell more space

Property Management’s Expectations:
- Ensure tenants are able to move into their space by the agreed-upon move-in date

Corporate Office’s Expectations:
- Improve performance against key value drivers of quality, cost, cycle time, and leasing success
- Reduce costs in each category (materials, services, etc.)
- Track metrics that closely tie individual performance on TIs to corporate success; in turn, use these metrics to manage and improve the construction management function in their region

Performance Indicators

Focusing specifically on the role of Senior Construction Managers (who have overall responsibility for the construction management function in each region), the existing performance indicators defined in their job description were to: (1) administer the Tenant Improvement process for the Region as well as serving as a ‘Player-Coach’ to the Construction Managers in the region; (2) find creative ways to support regional occupancy targets; (3) reduce the cost and improve the efficiency of the TI process; and (4) improve overall customer satisfaction scores on the TI process. Overall, the performance indicators outlined in the job description appeared to be consistent with stakeholder expectations. However, training and communication efforts were necessary to help clarify the detailed “how to” aspects of their performance expectations.

Performance Discrepancies

Per Mager & Pipe, an important first step in assessing performance discrepancies is to identify the “difference between what is being done versus what is supposed to be done” (1970, p. 9). When I began working with this group in 2003, their current performance levels—i.e., how people were performing—needed improvement. Late move-ins had cost the company significant dollars and was significantly hurting relationships with tenants. On average, the company had been late on move-in dates, hurting both the company’s reputation and its bottom line. In addition, there were inconsistencies in process and a need to have consistent expectations and approaches across the regions.

On the other hand, the desired performance—or what was supposed to be done—was to have them (1) follow a consistent process for each TI job; (2) use metrics to manage the construction management function; (3) handle the pressure to keep TI costs down in a way that helps the business and their role within the leadership team; and (4) manage the performance of those that report to them, identifying and appropriately addressing performance discrepancies. This comprised the specifics of what the Senior Construction Managers (SCMs) and the construction management function needed to do to close the gap between current and desired performance. Closing this gap would enable them to fulfill their stakeholders’ expectations.

Further utilizing some of Mager & Pipe’s (1970) performance analysis steps, it was further determined that resolving this performance discrepancy was very important to the company. The discrepancies were due to genuine skill deficiencies (not other organizational factors). In addition, looking to whether or not the SCMs could perform in the past, these performance expectations were not something they were doing before. However, the SCMs did possess some transferable skills that would be useful to their updated performance expectations. These transferable skills included: (1) construction and project management background/experience; (2) understanding of corporate initiatives, priorities, and overall firm direction; and (3) initial familiarity with current report suite, metrics, and compensation system.

However, in comparing desired performance with actual performance, there were a number of significant performance gaps where new skills needed to be developed. This included the need for (1) a new and consistent TI process; (2) experience with formal reporting on TI; (3) exposure to metrics that closely tie individual performance on TI to corporate success; (4) practice in performing data analysis and action planning based on data results; (5) awareness/acceptance of what made them successful before vs. what will make them successful now; and (6) a disciplined method for managing direct reports.

***

With the SCM’s performance analyzed, it was time to move on to identifying the causes of the performance gaps. My next post will explore what we did to determine the extent of the problem, how we pinpointed the reasons for the gap, and what nontraining and training strategies were selected to fill the gaps.

References:

Mager, R. & Pipe, P. (1970). Analyzing performance problems. Belmont, CA: Fearon Pitman Publishers.

- Robin

Copyright Robin Donnan 2007. All Rights Reserved.
Performance Associates, Inc.

August 29, 2007

Learning Management Case Study, Part 2

My last post introduced the work I did with the construction management function of a large real estate investment trust, beginning with analyzing their current performance. Today we’ll continue by exploring what we did to determine the extent of the problem, how we pinpointed the reasons for the gap, and what nontraining and training strategies were selected to fill the gaps.

Identifying Causes of Performance Gaps

To determine the cause of a performance gap, it is important to ask additional questions. As stated by Fisher, this helps ensure that the underlying causes of the problem are solved (rather than just the symptoms) so as to truly solve the problem (1997, p. 47).

Determining the Extent of the Problem

Looking at the SCMs’ current performance, almost all of them were experiencing the performance gap. The gap included very learnable and job-specific skills. Moreover, no one region had the gap more seriously than any other did. Looking at trends in the SCMs’ performance, the gap was holding steady (i.e., neither increasing or decreasing), but the importance of them resolving this gap was increasing due to the need for the SCMs’ to fulfill their more elevated job responsibilities given the company’s shift to managing with metrics and encouraging deeper functional expertise.

In general, the level of difficulty for the SCMs in learning and applying these new skills was moderate. Their current skill set was sufficient or readily attainable. There were no major process changes for them to learn. While there may have been limited experience following a prescribed tenant improvement (TI) process in some regions, a new process with new reports and reporting procedures would not be difficult to learn. One area that did require a paradigm shift for some employees is helping the SCMs make a connection between individual performance and corporate success.

Pinpointing the Reasons for the Gap

Based on conversations with select SCMs and senior management, the causes and specific reasons contributing to the performance gap were determined to be as follows: View image

As you can see, the performance gaps are due to factors that are knowledge/skill-based, as well as environmental and motivational. Looking at the lack of necessary knowledge and skills, the SCMs could not currently perform as desired. However, their performance was anticipated to improve as soon as they (and the key stakeholders) were trained on the new TI process and the reporting/metrics procedures. In addition to improving the SCMs’ knowledge and skills, work was needed to resolve the various environmental and motivational factors. Specifically, by assessing what may be barriers to the SCMs’ learning and performance, we discovered some (1) apprehension about their new role and responsibilities; (2) reluctance to conform to a corporate approach given the common belief that regional differences necessitate largely different processes; (3) existing concerns regarding overhead and paperwork (with the current program having a significant overload of forms); (4) anxiety over the transparency that reporting would create and uncertainty about the accuracy of metrics; (5) perceived lack of time (compounded by a lack of administrative support and incomplete tools and procedures); and (6) fear that their total compensation would be negatively impacted.

Selecting Nontraining and Training Strategies

To address the performance gaps, a variety of strategies needed to be employed. To close the knowledge and skill deficiencies, training was appropriate. To solve the environmental and motivational factors, several non-training strategies were required.

In addressing the knowledge and skill gaps, a training session plus a consistent TI process with defined roles and responsibilities were needed. So, one of the key actions undertaken was to define a consistent TI process to be used throughout the organization and conduct training for all members of the construction management team, beginning with the SCMs. Since a flowchart can be used to design and/or standardize an entirely new process, I worked with the construction management function to create a standardized Tenant Improvement process. In addition, because there were multiple stakeholders who also had a part in ensuring the success of the TI process and program, we defined roles and responsibilities corresponding to each task in the flowchart. Together, these items were used to train all the members of the construction management function as well as each of the stakeholder groups. In addition, all of the SCMs received training with extensive experiential activities to help them develop the additional desired performance abilities. The SCM training sessions were conducted centrally using an interactive classroom-based format. Additional on-the-job support was provided through job aids and a manual that outlined the TI process and corresponding roles and responsibilities. This information was also made available on the company Intranet, including best practices and electronic links to supporting forms.

To address the environmental factors of inadequate tools and resources, the company supported the addition of one construction-dedicated administrative support person per region. This, along with the consistent and streamlined TI process, alleviated much of the SCMs’ time-related concerns. Work was also completed on supporting software and establishment of construction-specific accounting procedures in time for inclusion in the training sessions.

To address the motivational concerns over making the change, we selected a multi-pronged approach. To ensure their bosses understood the changes and supported the SCMs, the CEO and COO had individual conversations with each region’s Senior Vice President (to whom the SCMs were reporting). SCMs were also trained on how best to communicate with their boss to garner their confidence and support. To eliminate the concerns related to a “corporate” TI process, the SCMs themselves were involved in the creation of the process. In addition, discussions were facilitated to address regional differences and how to follow a consistent process while meeting individual tenant needs and state construction requirements. Fears related to metrics were resolved by clearly communicating the SCMs’ performance expectations, resolving any conflicting expectations, and ensuring that appropriate rewards were in place. In particular, Human Resources was brought in to assure the SCMs that there would be no negative repercussions of “bad” metrics results—further clarifying that the metrics were intended as a management tool, not a yardstick by which compensation would be determined. Furthermore, using their own metrics results, additional training and work sessions were held to help the SCMs work with metrics as a tool to set priorities and better manage the construction function. In addition, weekly conference calls were scheduled to provide SCMs with a forum to raise concerns, identify solutions, and support one another. And, ongoing support to proactively resolve any lingering motivational issues was provided through the establishment of a corporate functional lead who acted as their spokesperson and representative with upper management.

***

With the cause of the performance gaps identified and the nontraining and training strategies selected and in place, the remainder of this case study addresses what was done to facilitate successful implementation. My next post will explore what we did to manage the training resources and promote training transfer. In addition, I’ll share the training outcomes and results from this project effort.

References:

Fisher, S. (1997). The manager's pocket guide to performance management. Amherst, MA: HRD Press.


- Robin

Copyright Robin Donnan 2007. All Rights Reserved.
Performance Associates, Inc.

September 2, 2007

Learning Management Case Study, Part 3

My last post continued the case study description of the work I did with the construction management function of a large real estate investment trust (REIT). In it, I shared the work we did to determine the extent of the problem, how we pinpointed the reasons for the gap, and what nontraining and training strategies were selected to fill the gaps. To conclude this case study, today we’ll explore what the team did to manage the training resources and promote training transfer. In addition, I’ll share the training outcomes and results from this project effort.

Managing Training Resources

Budget funds were necessary for the implementation of the aforementioned strategies designed to eliminate the SCMs’ knowledge and skill gaps. The costs primarily involved design and development of the Tenant Improvement (TI) process, job aids, and training courses by a strategic partner consulting firm. (Internal resources were not available to dedicate the time and resources to this project.) Additional funds were needed to cover travel and materials duplication costs, but there was no additional tangible cost related to the time of internal employees to conduct the training and participate in its development. The total estimated cost for this initiative was approximately $250,000 spread over an 18-month period.

In questioning whether it was worth this investment, implementing these strategies enabled the company to not only eliminate the performance gaps, but also all the corresponding knowledge/skill, environmental, and motivational factors outlined previously. Additional benefits included expediting all stages of TI work, accelerating the availability of vacant space for leasing, reducing likelihood of rework in planning and construction phases, simplifying project management, ensuring a higher level of program compliance and optimization, improving customer hand-off, and creating stronger teams and structure to complete their TI work. In addition to these benefits, the company also anticipated being able to save nearly $2,000,000 annually (based on a study completed by a large consulting firm) through the implementation of these strategies. Versus an initial $250,000 investment, these were very worthwhile and powerful results.

Promoting Training Transfer

To ensure training transfer, the team utilized many of the methods recommended by Fisher (1997, pp. 86-91). For example, the team ensured the training programs met the audience’s needs at each of the sessions conducted over the 18-month period. SCMs were heavily involved in the creation of the new TI process, and were provided with many opportunities to provide their input on the training and support needed to help them perform as needed by the organization. To help the SCMs focus on the training, off-site locations were selected for each session. Pre-training materials were also provided that had the SCMs completing activities that had direct input to the training and then back on the job; activities included interviewing their boss, facilitating sessions with their regional construction teams, and gathering and analyzing their own metrics results. During the training, upper management support was displayed through participation of key senior management members including the COO and CEO. Effective facilitation skills and action-oriented training design ensured a highly engaged audience during each session. After the training, follow-up conference calls were held with the SCM team to provide them with additional support as they applied their new skills on the job. Job aids and a new Intranet site were available to further promote transfer and reinforce the training. As needed, the corporate lead also provided individual attention and support to particular SCMs as they learned the new skills or struggled with particular issues. For recognition, successful application of the process and the SCMs’ new skills was featured prominently with a front-page article on the company’s Intranet site.

Training Outcomes and Results

After implementation of the standardized TI process plus training on the process and other performance expectations, the construction management function improved its results on the two key measures of (1) customer survey results and overall satisfaction plus (2) performance on budget and schedule metrics controlled by the construction management team. Impressively, the construction management function reduced their average days late on move-in dates by 84%, with 79% of the jobs delivered within three days of schedule and only 18% of jobs delivered more than five days late. In addition, through implementation of the consistent TI process and a preferred provider program, the construction management team overall was able to deliver under budget based on a comparison of actual TI costs versus budgeted TI costs.

Overall, by conducting the training plus resolving the motivational and environmental issues, this company was able to realize their goals for the construction management function. These goals included improving move-in, TI, and hand-off procedures; reducing or eliminating the cost of late move-ins (both monetary and tenant relationship costs); maximizing the use of metrics to manage the business; and enabling SCMs to lead the construction management function in their regions and for the company overall.


References:

Fisher, S. (1997). The manager's pocket guide to performance management. Amherst, MA: HRD Press.


- Robin

Copyright Robin Donnan 2007. All Rights Reserved.
Performance Associates, Inc.

October 4, 2007

Epistemological roots of experiential learning: Kant’s Idealism and Rousseau’s Romanticism

Our journey into epistemology moves forward to the eighteenth century philosophers, Immanuel Kant and Jean Jacques Rousseau, who began to bring closer together the opposing ideas of the rationalists and empiricists. To explore these philosophers I considered the question of what are the pros and cons of having knowledge without experience? Interestingly, through this exploration, we’ll begin to see the roots of what modern theorists have been saying related to systems thinking, experiential learning, and the need to trigger the learner’s meta-cognition skills in order for knowledge to be retained.

The philosophers of the eighteenth century continued the debate about the nature of knowledge. Is it “a priori” and innate? Or is it “a posteriori” and gained through experience? If we look to two of the leading eighteenth century philosophers, Kant and Rousseau, we’ll see that they both lean toward the need for experiential acquisition of knowledge.

Rousseau argues that the learner should be a very active participant who learns driven by his own needs/interests and finding the answers for himself—NOT a receptacle for others’ learning, beliefs, and opinions. “It is for him to want to learn, to seek and to find it. You should put it within his reach, you should skillfully awaken the desire and supply within him the means for its satisfaction” (Rousseau, p142). The process Rousseau recommends by which the learner should acquire knowledge is very experiential. First, the learner should gain knowledge through the senses, observation, and experience. Then the learner should gradually gain the ability to focus on one thing for a long time (as driven by the learners’ interest—not an external mandate). Then the learner needs to apply these to “an honest trade” (and ensuring that he not acquire prejudices of his social or economic position). Then and only then, would the learner then proceed onto judgment and reasoning. As such, Rousseau lays out a process of knowledge acquisition that is very reliant upon experience.

In a similar vein, Kant argued for the physical training of both the mind and body. Kant recommends that body and senses should be trained through active doing (combining skill and senses), to develop a photographic memory (to be used in nature as well as in books and music), and to use childhood games to prepare children for the future and condition them to remain busy and work toward an end goal. Kant recommends that the mind also be trained, but receive both physical and moral training. Kant recommends that training of the mind should be done with consideration of the end goal—for work (scholastic culture) or play (free culture). Furthermore, Kant recommends to also train the memory early to cultivate understanding and to train rules (and their classes) alongside application/examples.

When considering these eighteenth century philosophers plus those who came before them, we can better weigh the pros and cons of having knowledge without experience. For example, to have knowledge not based upon experience may be desirable for (per Descartes) if your senses were deceived, then your knowledge would be compromised by that flawed experience. On the other hand, Rousseau teaches that not having knowledge based in experience will lack context and can be meaningless to the learner. And while Kant took a more moderate approach marrying the schools of empiricism and rationalism, he also believed that experience was a necessary component of knowledge. Kant asserts that experience (or training of the body) provides self-sufficiency, strength, skill, quickness, discipline, individuality, confidence, and the creation of a contributing/working member of society; these then provide a foundation for the training of the mind which provides understanding, judgment, reason, and morality.

Interestingly, in studying these eighteenth century philosophers we can begin to see the roots of what modern theorists have been saying related to systems thinking, experiential learning, and the need to trigger the learner’s meta-cognition skills in order for knowledge to be retained. Indeed, much can be learned from those who came before us—and I look forward to continuing this exploration and making further connections applicable to how today’s knowledge manager can maximize the acquisition of knowledge.

-Robin


References:

Descartes, R. (1644). Principles of philosophy. Retrieved September 3, 2007 from http://www.classicallibrary.org/descartes/principles/index.htm

Kant, I. (1960). Chapter 3: Instruction. In Education (pp. 58-65). Ann Arbor, MI: University of Michigan Press. (Original work published 1803)

Kant, I. (1960). Chapter 4: Cultivation of the mind. In Education (pp. 66-82). Ann Arbor, MI: University of Michigan Press. (Original work published 1803)

Rousseau, J.J. (1957). Book III. In B. Foxley (Translator), Emile (pp. ii-v,128-171). London: JM Dent and Sons. (Original work published 1762)


Copyright Robin Donnan 2007. All Rights Reserved.
Performance Associates, Inc.

October 23, 2007

Epistemology: Pragmatism, Managing Information Overload, and Evaluating “Truth”

We continue our journey through epistemology, now moving onto Pragmatism. We’ll explore how James’s metaphysical pragmatism can be applied to non-metaphysical truth and practices in furthering knowledge in the workplace—specifically, how to manage information overload and maximize individual learning.

Between the Internet and company Intranets, today’s knowledge workers have access to a vast amount of information. James’s theory of truth may provide some guidance to today’s knowledge workers in helping them sift through that information—in the form of criteria by which to evaluate truth. In this way, James can help us with how we can further knowledge in the workplace. For example, one can look to James’s criteria of instrumental truth to help define what is the truth—or perhaps what could be considered the most correct knowledge—for that workplace. That is, each idea or belief could be evaluated in light of its ability to link the employee’s, department’s, and/or company’s experience and their ‘power to work’ (James, 1907, p. 23).

While helping further workplace knowledge, it is important to remember that truth is very subjective to each individual or entity. As James states in citing the ideas of Schiller and Dewey, “…ideas become true just in so far as they help us to get into satisfactory relation with other parts of our experience” (1907, p. 23). Echoing Kant’s belief that “no mental faculty is to be cultivated by itself, but always in relation to others” (1960, p.71), James also teaches us that we acquire new beliefs and ideas through the linking or ‘grafting’ of new knowledge onto previous. As new knowledge is acquired, it is done so in relation to what we already know, and in forming these new truths our old ideas and beliefs are forever changed (James, 1907, p. 24). James also—like Rousseau—cautions us that a person must want to acquire new ideas; that “a new opinion counts as ‘true’ just in proportion as it gratifies the individual’s desire to assimilate the novel in his experience to his beliefs in stock” (1907, p. 25).

Perhaps the answer to furthering knowledge in the workplace is not to rely solely on compulsory training for delivering the “truth”, but rather to also equip knowledge workers with the tools, ability, and opportunities to make linkages for themselves and evaluate their own important truths in context of the ideas and beliefs of them individually and as a member of their workplace. This sentiment is supported in Jay Cross’s new book Informal Learning where in discussing the future of work he states, “As we enter an age of informal and workflow learning, authority is less centralized than ever before” (2007, p. 7). He further goes on to quote Etienne Wenger (noted expert on communities of practices) who states, “Learning is best understood as an interaction among practitioners, rather than a process in which a producer provides knowledge to a consumer” (Wenger as quoted in Cross, 2007, p. 7).

But how can organizations provide these tools, ability, and opportunities? Fostering knowledge networks can help, plus maximizing informal learning. Since informal learning is how we naturally learn the best/most, as knowledge managers we need to maximize these opportunities and help people to be able to utilize their networks to improve their potential learning. For example, “Learning is optimizing our connections to the networks that matter to us. This satisfies both the community concept of learning (social networking) and the knowledge aspect (gaining access to information and fitting it into the patterns in one’s head)” (Cross, 2007, p. 19). The form the tools and opportunities take will vary but can include such things as communities of practice, collaborative software tools, and corporate yellow pages / expert finders. Importantly, it also needs to include making physical space within organizations to encourage sharing plus supporting employees in making the time to share.


-Robin


References:

Cross, J. (2007). Informal learning. San Francisco: Pfeiffer.

James, W. (1907). Pragmatism: A new name for some old ways of thinking. In The matter of belief: Selected works of William James. Retrieved from http://www.brocku.ca/MeadProject

Kant, I. (1960). Chapter 4: Cultivation of the mind. In Education (pp. 66-82). Ann Arbor, MI: University of Michigan Press. (Original work published 1803)

Rousseau, J.J. (1957). Book III. In B. Foxley (Translator), Emile (pp. ii-v,128-171). London: JM Dent and Sons. (Original work published 1762)


Copyright Robin Donnan 2007. All Rights Reserved.
Performance Associates, Inc.


October 26, 2007

Epistemology: Rogers’ and Skinners’ Contributions to Training Analysis

As we continue our journey through epistemology, we will consider the theories of Rogers (Humanism) and Skinner (Behaviorism) and explore how they each contributed to the process of training analysis.

Beginning in the 1960s, Skinner’s emphasis on observing actual behaviors and modifying it through operant conditioning led to the method of programmed instruction. This approach involved the breaking down of learning into small pieces, and then providing instruction, practice, and reinforcement on each piece. Behaviorism’s operant conditioning (i.e., ignoring undesirable responses and reinforcing desirable ones) can particularly be found in many of today’s technology-enabled courses that utilize feedback loops and custom pathing through the learning experience based on the learner’s responses.

Echoing elements of both Rousseau and Kant, 1970s humanist psychologists Rogers and Maslow provided additional insights into what motivates people to learn. Maslow, with the concept of striving for self-actualization, encouraged educators to help learners make choices on their own. Rogers encouraged a learner-centered approach that empowered learners to develop the skills and self-confidence to educate themselves (i.e., the skills of meta-learning). He also echoed pragmatist believes about the discomfort that must come as part of the process of new learning (James, 1907, p. 24; Rogers, 1961, p. 187). Rogers further encouraged us to remember that learning is both intellectual and behavioral by stating, “It is not simply an intellectual value choice, but seems to be the description of the…behaviors by which [the learner] moves exploringly toward what he wants to be” (1961, p. 176).

As we look at instructional systems design and other processes used by many of today’s workplace learning and performance improvement professionals, one can see many Behaviorism and Humanist influences. Humanism provides us with greater insight into the individual learner—which is considered via target audience analysis and identifying the learners’ potential affective goals plus any motivational and/or environmental barriers that may impede the learner. On the other hand, Behaviorism emphasizes that what is important is that the learner can actually display the behavior or perform. From this, comes the development of performance objectives that focus on observable behaviors. Also included is performance gap analysis, which identifies the differences between the current performance/observable behavior and what is desired. In addition, Behaviorism’s operant conditioning can also be seen in the design of during and post-training activities that facilitate and reinforce the learning process. Operant conditioning can also be seen in implementation considerations, such as when analysis reveals that a company’s rewards and recognition structure needs to be re-worked in order to ensure learning transfer.

-Robin


References:

James, W. (1907). Pragmatism: A new name for some old ways of thinking. In The matter of belief: Selected works of William James. Retrieved from http://www.brocku.ca/MeadProject

Rogers, C. (1961). Chapter 6: What it means to become a person. In On becoming a person: A therapist’s view of psychotherapy. pp 107-124. Houghton-Mifflin Company, Trade & Reference Division. Electronic reprint from Xanedu Course Packs.

Rogers, C. (1961). Chapter 8: To be that self which one truly is: A therapist’s view of personal goals. In On becoming a person: A therapist’s view of psychotherapy. pp 163-182. Houghton-Mifflin Company, Trade & Reference Division. Electronic reprint from Xanedu Course Packs.

Rogers, C. (1961). Chapter 9: A therapist’s view of the good life: The fully functioning person. In On becoming a person: A therapist’s view of psychotherapy. pp 183 - 196. Houghton-Mifflin Company, Trade & Reference Division. Electronic reprint from Xanedu Course Packs.

Skinner, B. F. (1971). A technology of behavior. In Beyond Freedom and Dignity (chap. 1). Retrieved from http://www.xanedu.com/

Skinner, B. F. (1971). A technology of behavior. In Beyond Freedom and Dignity (chap. 2). Retrieved from http://www.xanedu.com/

Skinner, B. F. (1971). A technology of behavior. In Beyond Freedom and Dignity (chap. 3). Retrieved from http://www.xanedu.com/


Copyright Robin Donnan 2007. All Rights Reserved.
Performance Associates, Inc.

October 29, 2007

Epistemology: Theory versus Practice

Today we’ll look to epistemology to see if we can answer the question of which is more important – theory knowledge or practical knowledge.

Theory knowledge provides the legitimacy of facts, rules, and concepts founded upon research. As Schwan states, its “strength and value…lie in its generality, system, and economy” (1971, p. 62). But it is this generality which causes difficulty, for practice—in contrast—requires the concrete and particular. Unfortunately, as Schon points out, research and theory also are being increasingly criticized for not meeting “the needs and interests of professional practitioners” (1987, p. 10) and that curriculums too entrenched in theory may not adequately prepare professionals for practice in their field (1987, pp. 11-12). Schwab (1971) echoes Schon’s points with his own concerns about theoretical approaches being inadequate to helping prepare professionals to solve and apply practical solutions.

On the other hand, Schon describes how practical knowledge provides experience and skill in problem solving—resulting in the artistry by which the seasoned professional practices his trade. Practical knowledge also provides the opportunity to build what Schon terms ‘knowledge-in-action’ — the ability to apply tacit knowledge and make wise judgments in the light of new problems and situations (1987, pp. 23-25). Practical experience can also provide the opportunity for ‘reflection in action’ — a series of evaluations, learnings, and modifications that are made in the midst of practice (Schon, 1987, pp. 26-29). With these two concepts and techniques in place, the artistry of professional practice can be realized and observed.

In exploring this challenge of theory versus practice, Schwan cautions that we will perform (or practice) well only to the degree to which we consider the conditions to which the theory is to be applied. Furthermore, Schwan recommends that we not accept any single theory, but rather apply multiple theories to paint a more complete picture or more accurate assessment of a situation. Much like the scholar-practitioner model followed at Walden University, perhaps the solution lies in the enquiry cycle of learning existing theories, exploring the boundaries and limitations of those theories, and then exploring new directions through practical application.

Then to address the question of which is more important — theory knowledge or practical knowledge — perhaps we can consider that while both are important, they can successfully operate independent of one another. For example, a person can successfully acquire or apply practical knowledge without conscious knowledge of the underlying theory. At the same time, a person can successfully acquire and focus on theoretical knowledge without ever venturing into the practical knowledge. It may, however, be argued that the more defensible and rewarding method would be to blend the two approaches. As Schon states, “rigorous professional practitioners solve well-formed instrumental problems by applying [both] theory and technique” (Schon, 1987, pp. 3-4).

Another question we may want to consider is which should come first —theoretical knowledge or practical knowledge. While not wanting to digress into a chicken-or-the-egg-type debate, it could be interesting to consider which would be the best to lead with in helping others acquire new knowledge and skills. Is it best to lead with theoretical knowledge and then provide opportunity for practice based on the theory? Or is it best to lead with practice and then debrief what did and didn’t work and share potential reasons based on the theory? Perhaps the answer lies in learning theory and individual learning styles and preferences. Also perhaps a question of emphasis on theory versus practical knowledge can be answered in a matching to the desired behavioral outcome. This could be related to the concepts of ‘know how’ versus ‘know why’ being discussed in current literature. Perhaps it can also be related to cognitive levels where theory and the ability to create the tools that allow individuals to perform their task is a higher-order cognitive skill versus practical knowledge and using the knowledge to perform tasks may be at a different/lower level—or perhaps even be in the psychomotor rather than cognitive domain.

-Robin


References:

Schon, D.A. (1987). Educating the reflective practitioner: Toward a new design for teaching and learning in the professions. Reprint in CoursePack at www.xanedu.com: John Wiley & Sons, Inc.

Schwab, J. J. (1971). The practical: Arts of eclectic. In School review (pp. 493-542). Reprint in CoursePack at www.xanedu.com: University of Chicago Press Journals.


Copyright Robin Donnan 2007. All Rights Reserved.
Performance Associates, Inc.


November 26, 2007

Drucker on Adults as Trainer and Trainee

We continue our study of epistemology today with a look into Drucker's view that “the adult – and especially the adult with advanced knowledge – will be as much trainer as trainee, as much teacher as student.”

Drucker was very prophetic when claiming in 1993 that “training in one form or another will …become lifelong” and that “the adult…will be as much trainer as trainee, as much teacher as student” (p. 207). In my over 20 years as a workplace learning and performance improvement professional serving the corporate sector, I have observed and participated first-hand in the evolution of the knowledge worker as both continuous learner and instructor.

When I first developed training in the late 1980’s, workplace training was being treated as an event, often long and going over multiple weeks—very similar to what employees experienced when they were in college. Indeed, as instructional designers we were directed to design these courses like boot camps to indoctrinate the new employees into the culture, procedures, and expectations of the company; lecture, discussion, and business-school style case studies were the instructional approaches of choice. Fast-forward now to today and training is no longer a school-like event; it is woven into the every day processes of all the leading corporations with which I work. The direction to instructional designers today is not to recreate a college-like experience but rather to design highly-interactive practice and application-based programs that also incorporate pre- and post-learning event elements to ensure better transfer of the learning. Courses now are much shorter in duration, often just ½ day or less and only multi-day at major career milestone/promotion points. Courses no longer just occur in a classroom; they occur via web conference or more informally via coaching relationships and on-the-job training supported by knowledge bases, job aids, and the individual’s own research and reading.

Thus, today’s knowledge worker alternates between trainee (when participating in short classes or web conferences, reading the company’s Intranet/knowledge base, or collaborating with their coach, supervisor, or other peers) and trainer (when leading short classes or web conferences, adding their expertise to the company’s Intranet/knowledge base, or coaching and developing their direct reports and mentees). This alternating of the individual between trainer and trainee is critical to fostering the self-directed lifelong learning which Drucker argues is critical to the knowledge worker. Davenport and Prusak also echo this need in their emphasizing that everyone in an organization needs to actively “create, share, search out, and use knowledge in their daily routines” (2000, p. 108).

Add to this the research being done to quantify the impact of these HR-related activities on firm performance (Becker & Gerhart, 1996; Niehaus & Swiercz, 1996) . Hopefully research will soon be able to display solid empirical evidence that knowledge and learning are both critical components of individual and organizational performance. Meanwhile, as knowledge managers in the knowledge society we can do our part to continually support and foster employees’ ability to apply their meta-learning skills individually and collectively to help ensure the sustainability of both individuals and organizations.

- Robin


References:

Becker, B., & Gerhart, B. (1996, August). The impact of human resource management on organizational performance: Progress and prospects. Academy of Management Journal, 39(4), 779.

Davenport, T. & Prusak, L. (2000). Working knowledge: How organizations manage what they know (paperback ed.). Boston: Harvard Business School Press. (Original work published 1998)

Drucker, P. (1993). Post-Capitalist Society. New York: Harper Collins Publishers, Inc. (Reprinted in Xanedu course pack).

Niehaus, R. & Swiercz, P.M. (1996). Do HR systems affect the bottom line? We have the answer. Human Resource Planning, 19(4), 61-63.

Wright, P., Gardner, T., Moynihan, L., Park, H., Gerhart, B., & Delery, J. (2001, Winter). Measurement error in research on human resources and firm performance: Additional data and suggestions for future research. Personnel Psychology, 54(4), 875-901.

December 14, 2007

What is an adult (learner)?

Webster’s defines an adult as one who is “fully developed and mature” (1989, p. 58). Knowles, Holton, and Swanson define an adult from biological, legal, social, and psychological perspectives (2005, p. 64). Being an adult can be defined chronologically (e.g., when one turns 18 or 21). It can also be defined as once one accomplishes a major life milestone such as having a child or buying one’s own home. Despite many theories and perspectives, a few common descriptors appear: individualism, responsibility, and the ability for complex reasoning. Another common element is that adulthood and adult development are not a fixed destination, but a continuous process (Knowles et al., 2005, p. 220)—a process in which the individual (ideally) continues to grow in their cognitive and compassionate capabilities.

The psychological theory of adult development I believe has the greatest effect on how adults learn is Erikson’s psychosocial development model (Knowles, Holton, & Swanson, 2005, pp. 224-225; Merriam, Caffarella, & Baumgartner, 2007, pp. 306-307). Like other models, Erickson’s model incorporates the concept of change or a crisis event that prompts growth from one developmental stage to the next. Where it differs from age-graded models such as Levinson’s, is that it does not assign specific (but instead predictable or approximate) ages at which all adults proceed from one stage to the next; nor does it assume that all adults will precede through all the levels. Additionally, Erikson argues “that as adults we may revisit earlier stages to resolve or re-resolve conflicts from earlier periods in different ways” (Merriam et al., 2007, p. 306). Thus, the adult continues to grow and the stages are not necessarily linear.

In considering these psychological stages of adult development and their implications for adult learning in the workplace, it can help to consider which developmental stages many workplace learners are. For example, per Erikson’s model, many workplace learners are in the middle adulthood phase where the ego development outcome is generativity, self-absorption, or stagnation. Not to be forgotten, the younger adults (ages 18-35) are in the stage where the ego development outcome is intimacy and solidarity versus isolation (Harder, 2002). What this means for adult educators is that younger adults often will prefer more team work and inclusive types of activities. At this stage, their goal is to find mutually satisfying relationships—whether those relationships are between people or between the individual and their employer. Once the adult proceeds to the middle adulthood phase (approximately 35 to 55 or 65), the adult tends “to be occupied with creative and meaningful work and with issues surrounding our family. Also, middle adulthood is when we can expect to ‘be in charge’” (Harder, 2002). For adult educators, the implication is that these adult learners need to be given a good deal of autonomy and opportunity to exert their authority. The adult educator can also provide for deeper experiences by linking the content to some greater meaning, whether for them individually or for the organization. Adult educators must also consider the “teachable moment” of which Havighurst refers (Knowles et al., 2005, p. 223; Merriam et al., 2007, p. 308). Often that teachable moment occurs naturally: due to a promotion, change in job responsibilities, or an internally-motivated developmental ‘life task’ designed to better oneself for either personal or societal gain. When the teachable moment does not occur naturally, adult educators need to consider creating the need and thus trigger a teachable moment. Thus, it can be helpful to start a training session by establishing the need on a very individual level, e.g., through an experiential activity that highlights the learner’s shortcomings (in a non-threatening way), and then by establishing how the training will help correct those shortcomings.


References

Harder, A.F. (2002). The developmental stages of Erik Erikson. Retrieved December 10, 2007 from http://www.learningplaceonline.com/stages/organize/Erikson.htm

Knowles, M.S., Holton, E.F., & Swanson, R.A. (2005). The Adult Learner (6th ed.). Burlington, MA: Elsevier Butterworth-Heinemann. (Original work published 1973)

Merriam, S.B., Caffarella, R.S., & Baumgartner, L.M. (2007). Learning in adulthood (3rd ed.). San Francisco: John Wiley & Sons.

Webster's Ninth New Collegiate Dictionary. (1989). Springfield, MA: Merriam-Webster.


- Robin
http://www.perfassocinc.com

December 27, 2007

Adult Cognitive Development

In considering the cognitive development of adults, two major perspectives have emerged—dialectical and contextual. Dialectical thinking is characterized by discussion and reasoning to make sense of the contradictions and complexities that adults must continually deal with. It argues that “thinking in a dialectical sense allows for the acceptance of alternative truths or ways of thinking about similar phenomena that abound in everyday adult life” (Merriam, Caffarella, & Baumgartner, 2007, p. 342). Dialectical thinking is a logical thought process by which adults can reasonably take what may on the surface seem like contradictory positions. In quoting Kegan’s work on dialectical thinking, Merriam et al. (2007, p. 344) point out that one important method for resolving these contradictions and complexities is to move away from trying to “win” one’s position but rather to recognize that “the other side will not go away, [and] probably should not.”

The contextual approach considers “how social, cultural, economic, and political forces shape the development of adult thinking” (Merriam et al., 2007, p. 347). It argues that these contextual factors may be what influences an adult’s cognitive development. To take on a contextual perspective involves considering these social, cultural, economic, and political factors rather than chronological ones as guideposts for comparison. For example, in comparing adults’ beliefs on DNR (Do Not Resuscitate) orders, the contextual approach would argue for exploring a group of people who have had loved ones involved in a serious medical emergency (where resuscitation was needed) versus those who have not; it might also argue for considering those who have the economic means to sustain someone on life support versus those who do not. Contextual approaches would also argue not to evaluate behavior on its surface, but rather to consider the contextual factors that have influenced and/or may lend meaning to those behaviors. Goldberger’s examples of silence in different cultures are an excellent example of contextual factors in action (as referenced in Merriam et al., 2007, pp. 348-349).

Dialectical and contextual thinking are similar in that they both attempt to explain how adults process the complexities of decision-making and belief formation. As adults, we must come to accept “that all knowledge is incomplete and subjective. However, [we also] recognize that [we] must act despite the limits of [our] knowledge” (Merriam et al., 2007, p. 327). On the other hand, dialectical and contextual thinking differ significantly in how dialectical thinking takes a linear progression with the end result being dialectical thought process, versus contextual thinking that encourages a more cyclic and fluid process of reflection and subjectivity. Dialectical thinking weighs in strongly on logic and reasoning versus contextual thinking that favors relative, affective considerations.

Focusing on the contextual approach, epistemology teaches us that truth is subjective (Locke, 1689; James, 1907; Belenky, Goldberger, Clinchy, and Tarule (1986); Nonaka and Takeuchi (1995)). So to is knowledge. As Davenport and Prusak argued in providing their definition of knowledge, “Knowledge is a fluid mix of framed experience, values, contextual information, and expert insight that provides a framework for evaluating and incorporating new experiences and information” (1998/2000, p. 5). As adults, we are often faced with needing to take action even though we may not know everything we would like to about the subject. Think about when we are confronted with a new challenge at work our must act quickly to respond to a child’s or loved one’s needs. We act based on our knowledge at that given time. But, how many times does further life experience show that another course of action would have been better? Our beliefs (and our actions) are also influenced by our previous life experiences—the contextual factors of our previous social, cultural, economic, and political experiences. Think about how the knowledge and beliefs held by young adults often change in one’s middle and later adult years—that’s the contextual factors of social, cultural, economic, and political influences at play.

In reflecting upon my own learning experiences, I believe that contextual approaches have had more impact. While dialectical thinking has had a role—and certainly more so when I was younger—my tendency is to approach complex questions with “it all depends” and “what if.” Perhaps acknowledging dialectical thinking’s role is reflective of my own experience of contextual thinking—as Merriam et al. (2007, p. 349) argue, “contextual factors [can] limit or expand our ways of knowing and allow us to speak of different uses or even meanings of each of the ways of knowing.” My personal aim is to ensure that I employ these contextual considerations in an expanding, and not limiting, way.

References

Belenky, M. F., Goldberger, N. R., Clinchy, B. M., & Tarule, J. M. (1986). Subjective knowledge: The inner voice. In Women's way of knowing: The development of self, voice and mind, New York: Basic Books, Inc.

Davenport, T. H., & Prusak, L. (2000). Working knowledge: How organizations manage what they know (Paperback ed.). Boston: Harvard Business School Press. (Original work published 1998)

James, W. (1907). Pragmatism: A new name for some old ways of thinking. In The matter of belief: Selected works of William James. Retrieved October 1, 2007 from http://www.brocku.ca/MeadProject

Locke, J. (1689). Essay concerning human understanding. Retrieved September 3, 2007 from http://www.ilt.columbia.edu/publications/locke_understanding.html

Merriam, S.B., Caffarella, R.S., & Baumgartner, L.M. (2007). Learning in adulthood (3rd ed.). San Francisco: John Wiley & Sons.

Nonaka, I. & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. New York: Oxford University Press.

- Robin
http://www.perfassocinc.com

December 28, 2007

Adult Learning Theories and Programs

Two contrasting learning theories that have influenced adult learning program development include Behaviorism and Constructivism. Behaviorism argues that “first, observable behavior rather than internal thought processes is the focus of study… second, the environment shapes behavior… and third, the principle of contiguity (how close in time two events must be for a bond to be formed) and reinforcement…are central to explaining the learning process” (Grippin & Peters, as cited in Merriam, Caffarella, & Baumgartner, 2007, p. 278). In the creation of an adult learning program, Behaviorism manifests itself in the creation of behavioral objectives and measurements that are linked to rewards. Learning programs with a strong Behaviorist bent would tend to display a great deal of structure and control, be more instructor-driven, and manipulate the external environment in order to produce a series of discrete and observable behavior changes. Knowles, Holton, & Swanson (2005) would characterize Behaviorism as falling under the Elemental worldview or metaphysical system—one in which the universe is seen as a reactive system that is manipulated via a series of discrete stimulus-response combinations.

In contrast, Constructivism would be characterized as being part of the Holistic worldview or metaphysical system (Knowles et al., 2005)—one in which the universe is viewed as an active and evolving organism. Constructivism argues that “learning is a process of constructing meaning; it is how people make sense of their experience” (Merriam et al., 2007, p. 291). In the creation of an adult learning program, Constructivism manifests itself in the creation of shared meanings, use of dialogue and teamwork, collaborative and cooperative learning, situated learning, reflective practice, and communities of practice (Merriam et al., 2007). Learning programs with a strong Constructivism bent would tend to be very facilitative. The learning process would be one that is very student-centered, experiential, and focused on creating opportunities for individuals and small groups to collaborate on the creation of new knowledge and shared meaning.

In reflecting on which learning theory approach has been most evident in my experiences as a developer of adult learning programs, I would have to say that they have all made contributions. Behaviorism acts as the bookends at the beginning and end of programs with its objectives and measurements. Humanism provides purpose with a student-centered approach and the goal of self-actualization. Cognitivism is the engine using such tools and techniques as advance organizers and discovery learning. Social cognitive contributes additional techniques with activities such as fish bowls and triads where learners observe and learn from each other. Constructionist also contributes additional learning techniques with the facilitation of shared meaning, usage of dialogue, collaborative and cooperative learning, situated learning, and reflective practice. All these techniques have been very valuable, making their contributions as appropriate to different audiences’ learning needs and preferences.

Looking to the future, the learning theory approach that best represents my thinking and approach is a blend of primarily Cognitivism, Social Cognitive, and Constructivist, with an underlying foundation of Humanism. As my research focus begins to hone on the intersection of meta-learning, informal learning, and knowledge creation, I find that Cognitivism is relevant from the meta-learning/how to learn perspective. Social Cognitive provides valuable insights into informal learning processes. Constructivist aids in knowledge creation and the usage of Communities of Practice. And, Humanism continues to provide an underlying purpose of helping facilitate each individual’s goal of self-actualization.

References

Knowles, M.S., Holton, E.F., & Swanson, R.A. (2005). The Adult Learner (6th ed ed.). Burlington, MA: Elsevier Butterworth-Heinemann. (Original work published 1973)

Merriam, S.B., Caffarella, R.S., & Baumgartner, L.M. (2007). Learning in adulthood (3rd ed.). San Francisco: John Wiley & Sons.

- Robin
http://www.perfassocinc.com

January 8, 2008

Andragogy

Andragogy has been defined as “any intentional and professionally guided activity that aims at a change in adult persons” (Knowles, Holton, & Swanson, 2005, p. 60). In the mid-twentieth century, researchers like Bruner, Gibb, Miller, Overstreet, Savicevic—and most notably Knowles—began to use the concept to explore “the art and science of how adults learn” (Knowles et al., 2005, p. 61). The primary assumptions of Knowles’ andragogical model are:

1. “Adults need to know why they need to learn something before they learn it.”
2. Adults “need to be seen…and treated by others as being capable of self-direction.”
3. Adults bring a great deal of experience to their learning and “the richest resources for learning reside in the adult learners themselves.”
4. Adult’s readiness to learn is triggered by their “moving from one developmental stage to another.”
5a. “Adults are motivated to learn to the extent that they perceive the learning will help them perform tasks or deal with problems that they confront in their life situations.”
5b. Adults learn “most effectively when [new learnings] are presented in the context of application to real-life situations.”
6. “Adults are responsive to some external motivators…but the most potent motivators are internal pressures.” (Knowles et al., 2005, pp. 64-68)

Theorists and disciplines influencing Knowles’ andragogical approach of adult learning were many. Knowles referenced two theories of inquiry contributing to his approach: (a) Thorndike’s scientific stream of inquiry that established adults can learn and that they have different interests and abilities than children, and (b) Dewey and Lindeman’s artistic stream of inquiry that explored how adults learn (2005, p. 37). Lindeman’s strong influence on Knowles’ approach is seen in the extensive excerpts and the summary of Lindeman’s key assumptions about adult learners included in the introduction to Knowles’ andragogical approach (2005, pp. 37-40). Knowles cites clinical psychology to reinforce the idea of adult developmental stages and to show linkage between personality development and education; key clinical psychology theorists cited by Knowles include Freud, Jung, Erikson, Maslow, and Rogers. Developmental psychology is cited by Knowles to reinforce the concept of how adults change throughout adulthood, and sociology and social psychology are cited for their contributions related to the “behavior of groups and larger social systems, including the forces that facilitate or inhibit learning and change” (2005, p. 52). After outlining the social sciences’ contributions to his andragogical approach to adult learning, Knowles then outlines the contributions of adult education. Houle and Tough were notable contributors, with Tough’s research on how adults learn and what motivates them plus Houle’s study on the types of adult learners (i.e., goal-oriented, activity-oriented, and learning-oriented). Based on these many contributing theorists, it could be argued that Knowles’ thoughts were not entirely original; however, his synthesis of these concepts has made an enduring impact on the study and application of adult learning.

In an additional chapter of the sixth edition of Knowles’ classic work (2005), Holton and Swanson addressed additional implications of andragogy for today’s world of adult learning. As stated in the chapter’s opening, “one aspect of the andragogical model that disturbs many people is that not all adults seem to fit the assumptions…adult learners are not as homogenous as the andragogical model implies” (Knowles et al., 2005, p. 204). To provide a more complete set of principles that the adult learning practitioner can apply, the authors cover such topics as individual differences in adult learners (including different cognitive and learning styles), meta-learning or learning how to learn, and developmental perspectives including life-span developmental models and cognitive development theories. While Knowles’ andragogical approach does provide useful principles for adult learning, these additional perspectives from Holton and Swanson provide a more complete view of the variations one must account for in the design, development, and delivery of adult learning.

Like any enduring theory, there has been much follow-up research and critique of Knowles’ andragogical approach to adult learning. Merriam, Caffarella, & Baumgartner (2007) cite the critiques of Knowles’ work that question whether the theories of andragogy apply to all adults in all situations and whether they are effective with only adults. Merriam et al. point to recent critiques that have questioned the lack of consideration of “the sociohistorical context in which learning takes place” (2007, pp. 87-88)—resulting in the perpetuation of an inherently biased view that accepts an American White middle-class male perspective while ignoring other cultural and gender perspectives. Merriam et al., along with Brookfield (1995), also argue for the need to consider the potential role of social capital (including social networking, communities of practice, etc.) in creating positive learning environments in the adult workplace. Brookfield argues strongly against a theory of andragogy, stating “that the attempt to construct an exclusive theory of adult learning…is a grave error” (1995, Issues in Understanding Adult Learning section, para. 1). Rather than arguing for the truth of any one theory for adult learning, Brookfield encourages examining the insights and overlaps evident in what self-directed learning, critical reflection, experiential learning, and learning to learn have to offer adult educators; in addition, Brookfield encourages practitioners to remain aware of the impact of emerging research in the areas of cross cultural adult learning, practical theorizing, and distance learning (1995).

One of the greatest debates about andragogy relates to whether andragogy is a theory at all. Based on this author’s reading, it appears evident that andragogy is not a theory but more a set of guidelines that can be used by adult learning practitioners. Knowles himself acknowledged that he “prefers to think of [andragogy] as a model of assumptions about learning or a conceptual framework that serves as a basis for an emergent theory” (Knowles as cited in Merriam et al., 2007, p. 87). In order for Knowles’—or any researcher’s—work to be accepted as a true theory, it must pass rigorous empirical tests that validate the model’s assumptions and display the re-creatable impact of changing one or more of the model’s variables. Learning, being a largely internal process, is hard to measure. Yes, as the behaviorists argue, changes in behavior can be observed and measured. However, the same cannot be easily said for affective changes or acquisitions in tacit knowledge; self-reporting of affective changes is rife with bias, and tacit knowledge is highly difficult to access and express. So perhaps, as Gagne (as cited in Knowles et al., 2005, p. 10) suggests, learning is not something that can by theorized, but rather learning may be a set of generalizations and principles that can be applied to result in desired performance changes.

The implications of these critiques are that andragogy should not be viewed as a rigid set of guidelines to be applied to every adult in all adult learning situations. Some principles may be applicable to children as well (e.g., the benefits of learning using real examples and from one another’s experience). Additionally, practitioners should not assume adult learners are a homogenous audience but rather (a) be sensitive to cultural, social, and gender-related differences, (b) design learning that appeals to adults’ different cognitive and learning styles,
(c) consider multiple approaches and apply the principles that are the best fit for the given adult learning situation, (d) continue efforts to establish empirical evidence that validates the various learning theories, and (e) retain a critical mindset, not accepting any approach as a hard set of rules to blindly apply.

Whether termed a theory, philosophy, or set of guiding principles, Knowles’ work is still relevant in today’s world, in partnership with other theorists providing additional guidance to the practice of adult learning and education. While Knowles’ andragogical approach to adult learning may have—in the words of Brookfield (1995)—acquired the status of “myths that are etched deeply into adult educators’ minds,” it does offer principles that display face validity when applied to the design, development, and delivery of adult learning programs. Just like the different learning theories of behaviorism, cognitivism, constructivism, etc. all make important contributions to adult learning, so does Knowles’ andragogical approach. Moreover, just as no one of the learning theories should be applied to the exclusion of the others, the same is true of Knowles (and the other adult learning theories and theorists cited by Brookfield, Knowles, and Merriam). The majority of these theories and techniques have the potential to make valuable contributions, depending on what is most appropriate for a particular adult audience’s learning needs and preferences. Thus, for the adult learning practitioner, the critical task lies in being able to analyze the audience’s needs, the desired behavior or attitudinal change, and the context within which the learning is to happen—and then selecting and applying the theory(s) and technique(s) that will yield the best results.

References

Brookfield, S. (1995). Adult learning: An overview. In International Encyclopedia of Education. Retrieved December 1, 2007 from http://www.ict.mic.ul.ie/adult_ed/overview.htm

Knowles, M. S., Holton, E. F., & Swanson, R. A. (2005). The adult learner (6th ed.). Burlington, MA: Elsevier Butterworth-Heinemann. (Original work published 1973)

Merriam, S. B., Caffarella, R. S., & Baumgartner, L. M. (2007). Learning in adulthood (3rd ed.). San Francisco: John Wiley & Sons. (Original work published 1991)

- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com

January 15, 2008

Small Groups in Adult Learning

Small groups are most appropriate for adult learning when the group process helps with learning at either an individual or organizational level. Imel (1997) identifies three types of learning groups that support different learning goals: (a) cooperative learning groups to support instrumental learning goals, (b) collaborative learning groups to support communicative learning goals, and (c) transformative learning groups to support emancipatory goals. Cooperative learning groups are effective when the learning goal focuses on discrete skills or knowledge (primarily in the cognitive domain), e.g., systems training or standard operating procedures. Collaborative learning groups are effective when the learning goal includes an affective or social component that can be enhanced by group interaction, e.g., problem solving or practicing “soft skills” (such as coaching or delivering feedback). Transformative learning groups are effective when the learning goal includes component(s) that would be a challenge to the learners’ current mental models and assumptions, e.g., at key promotion/developmental points or in response to a major shift in the organizational climate and/or job responsibilities (such as the changes due to a merger or re-organization).

But a word of caution... small groups may not always be appropriate for adult learning—especially not when individuals need to learn tasks for which they will be solely responsible and have potentially limited support. It is certainly true that most learning topics include knowledge and skills that can be very effectively discussed and analyzed in small groups so that learners may benefit from others' perspectives. However, if the desired end behaviors are something that must be practiced and mastered on an individual basis, the program design should not rely solely on group learning techniques.

We can also consider the appropriateness of learning groups for formal versus informal learning. I would like to begin with a slightly different definition of formal versus informal learning (in contrast to the examples of formal learning being corporate and organizational and informal learning being in a church or community (Walden University, n.d.)). Marsick and colleagues have studied and published a great deal on the subject of informal learning over the last 20 years. Marsick & Watkins (1990, p. 12) contrasted informal learning versus formal learning as follows:

Formal learning is typically institutionally sponsored, classroom-based, and highly structured. Informal learning…may occur in institutions, but it is not typically classroom-based or highly structured, and control of learning rests primarily in the hands of the learner… [Furthermore, it] can be deliberately encouraged by an organization or it can take place despite an environment not highly conducive to learning.

Characteristics of informal learning include a learning process that (a) is integrated with daily routines, (b) is prompted by an unexpected internal or external event, (c) is mostly unconscious, random, and influenced by chance, (d) includes opportunities for reflection and action, and (e) links to the learning of others (Marsick & Volpe as cited in Marsick & Watkins, 2001, p. 28). As such, formal learning (with its controlled environment and high-structured characteristics) provides numerous opportunities for adult learning to occur via small groups. Informal learning, in contrast, does not provide as many opportunities as it is highly self-directed. Learning how to be a self-directed learner may not be a task well suited for learning solely via small groups—and the same can be said for many informal learning experiences. However, small groups can have their place in aiding informal learning—in particular when informal learning is used as a vehicle for accessing tacit knowledge. For example, informal learning can help a learning organization tap into its knowledge potential through the use of communities of practice, knowledge repositories, goal-based scenarios, and groupware (Marsick & Watkins, 1999; Marsick, 2006). In fact, adult educators can support informal learning by creating environments—both physical as well as cultural—in which small groups will naturally form and organize. As such, the facilitation of groups for formal learning involves the development of structured activities and what Knowles referred to as process design and management (Knowles, Holton, & Swanson, 2005); in contrast, the facilitation of groups for informal learning focuses on creating a conducive and supportive environment in which self-directed learning and knowledge sharing can thrive.



References


Imel, S. (1997). Adult Learning in Groups. Retrieved November 29, 2007 from http://www.cete.org/acve/docgen.asp?tbl=pab&ID=72

Knowles, M. S., Holton, E. F., & Swanson, R. A. (2005). The adult learner (6th ed.). Burlington, MA: Elsevier Butterworth-Heinemann. (Original work published 1973)

Marsick, V. J. (2006). Informal strategic learning in the workplace. In J. Streumer (Ed.), Work-related learning (pp. 51-69). Dordecht, The Netherlands: Springer.

Marsick, V. J., & Watkins, K. E. (1990). Informal and incidental learning in the workplace. New York: Routledge.

Marsick, V. J., & Watkins, K. E. (2001). Informal and incidental learning. New directions for adult and continuing education, 2001(89), 25-34.

Walden University. (n.d). AMDS8830 Adult Learning. In Week 6 Discussion Assignment. Retrieved January 8, 2008 from http://sylvan.live.ecollege.com


- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com

January 16, 2008

Teaching vs. Learning

In considering the differences and relationship between teaching and learning, it can be helpful to begin with some definitions. Teaching can be considered the external manipulation of learning events and the learning environment. Learning, on the other hand, is an internal process for the learner. As such, the external process of teaching leads to an internal process of learning. Additionally, through effective program design, the internal processes of learning may be made more external—and explicit—through the inclusion of group discussions and activities. As Gage argues, “the distinction between the two theoretical frameworks [of teaching and learning is that] learning theories address methods of learning, whereas teaching theories address the methods employed to influence learning” (as cited in Knowles, Holton, & Swanson, 2005, p. 112).

The implication for adult learning is that adult educators must consider both components—teaching and learning theory—to design effective learning events. The process can be envisioned as a series of cyclical phases where teaching and learning theory first influence the design of programs and then the delivery of those programs. In the first phase—the design of programs—whether one leads with learning or teaching theory depends upon where one is most comfortable. For those who came to be adult educators through teaching, starting with teaching theory is a natural beginning. For those who came to be adult educators through a discipline such as instructional or educational design, starting with learning theory can be a more natural beginning. Wherever one starts, whether teaching or learning theory, it is important to check ones’ design against both schools of thought. Apply a critical eye to the design to ensure the learning event is structured to best facilitate adult learning processes—and envision the class unfolding before your eyes to ensure that the materials will support the facilitator to lead the class per effective teaching theories.

In the second phase, the design is then delivered in the classroom—where the theories of teaching are most visibly at play. Yet, learning theory is still evident and plays an important supporting role. For example, facilitators need to ensure that learners know why they are learning something, are dealt with respect, are given the opportunity to share their experience, and perform activities that involve real-life application relevant to their current life or work challenges (Knowles et al., 2005).

For the adult educator, the role of learning and teaching theory do not end once class is over. Rather, the adult educator needs to reflect on what occurred in the class and consider what improvements or changes should be made for the next program. Here, the adult educator can identify potential additions to learning and/or teaching theory which then in turn can assist in the design and/or delivery of the next program. Thus, the relationship between teaching and learning theories completes a full circle. They inform design, which lead to delivery, which—for the savvy adult educator—provides input to future designs, and so on.

References

Knowles, M.S., Holton, E.F., & Swanson, R.A. (2005). The Adult Learner (6th ed ed.). Burlington, MA: Elsevier Butterworth-Heinemann.


- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com

January 26, 2008

Critical Analysis of the Research on Communities of Practice

Beginning with its roots in anthropology, communities of practice (CoPs) have been studied by many since Wenger and Lave first introduced the concept in 1991. CoPs can be defined as “a group of people having common identity [and] professional interests and that undertake to share, participate and establish a fellowship” (Pickett as cited in Dalkir, 2005, p. 112). Dalkir (2005) describes CoPs as typically informally-created groups centered around a common focus or goal, whether a profession, work function, problem, topic, or industry; furthermore, members’ commitment is driven by trust and professional behaviors/practices (p. 124) and they typically possess a virtual workspace in which “to store stories, artifacts, tools, discussions, glossaries, [and] historical events” (p. 125). The study of CoPs began with predominantly ethnographic studies, progressed through to qualitative studies, and then more recently has expanded into quantitative studies that are attempting to display a link between CoPs and improvements in organizational performance. This paper will take a chronological look at these developments, ending with a critical analysis of the major theorists and their contributions.

Theoretical Works

Wenger is considered by many to be the seminal theorist on CoPs and has published much on the subject. Through an impressive ethnographic study in his dissertation, Wenger (1990) began his investigation into the characteristics of communities and the people and practices that make up those communities. In 1991, Wenger first published on the subject of CoPs. His article introduced the idea of “learning as a social phenomenon… [where] information only takes meaning in the context of the social practices of the communities that give it cultural life… [Furthermore,] through our membership in their communities…we come to know—and be empowered by what we know” (Wenger, 1991, p. 83). This concept was further reinforced in Wenger’s work that year with Lave where they first identified the CoP concept in their “research toward a ‘social theory of learning’” (Zboralski, Salomo, & Gemuendon, 2006, p. 535). In addition to learning as a social phenomenon, Wenger (1991) provided recommendations for “managers who want to leverage the power of the social communities within their corporations” (p. 83-84). He also introduced his organization, the Institute for Research on Learning (IRL), as a CoP that would be exploring these concepts. Interestingly, IRL was a not-for-profit initially funded by the Xerox Corporation that resulted in the development of the concepts of distributed intelligence, cognitive apprenticeships, communities of learners, and—most significantly—communities of practice (Pea, n.d.). Wenger was a research scientist at IRL from 1987 to 1997 (Wenger, n.d.).

In 1997, Snyder built on Wenger’s and others’ early work by identifying CoPs as a tool for enhancing organizational learning, building organizational competencies, and improving organizational performance. To support this claim, Snyder (1997) argued that “competencies in the current environment are rarely static, so high-performance [CoPs] engage in continuous learning activities to ensure that competencies are built, shared, and applied effectively” (p. 8-9). Furthermore, CoPs:

…are aligned with competencies…they both enact competencies…and develop and renew competencies through a variety of learning activities. [They] “also constitute influential organization conditions…that influence communication and coordination… [and] are aligned, therefore, with several of the factors associated with a performance-based model of organizational learning. (Snyder, 1997, p. 9)

Snyder’s most important contribution in his 1997 article was the introduction of a “set of [33] testable hypotheses about how communities of practice influence performance, how they learn competence, and what conditions facilitate competence development” (p. 14). These 33 hypotheses can be used to test the interrelation between CoPs and organizational learning, organizational competence, and organizational performance. In fact, this set of hypotheses for testing the interrelation between CoPs and organizational learning, organizational competence, and organizational performance went on to encourage many research efforts including those by Lesser & Prusak; Dove; Lorenz; Smith & McKeen; Webb, Wunram, Lettice & Klein; Lucas; and more.

In 2002, Snyder and Wenger collaborated (along with McDermott) on the writing of the seminal book Cultivating Communities of Practice: A Guide to Managing Knowledge. In it, they introduced seven design principles for CoPs:

1. Design for evolution
2. Open a dialogue between inside and outside perspectives
3. Invite different levels of participation View image
4. Develop both public and private community spaces
5. Focus on value
6. Combine familiarity and excitement
7. Create a rhythm for the community
(Wenger, McDermott, & Snyder, 2002, p. 51)

This work also led to the creation of Wenger’s quick start-up guide that succinctly presented the major concepts related to CoPs (View image) (Wenger, 2002). Then in 2004, Wenger reinforced his earlier proposition of the social nature of knowledge by arguing that “communities of practice [are] the social fabric of knowledge” (p. 1). He further described the three elements of a community of practice (domain, community, and practice) and defined the role of management sponsorship to “enable communities to thrive and have an impact on the performance of the organization” (Wenger, 2004, p. 7).

Applied Research

Where the previous theoretical works helped to define what a CoP is and how one should be designed and managed, applied research aided in identifying what problems CoPs can solve. Snyder (1997) referred to the role of early CoP case studies completed by Brown & Gray, Cook & Yanow, Orr, Snyder, and Wenger in demonstrating “that learning occurs most effectively within communities that have developed trust, shared understanding of problems, and a language to communicate new and old solutions” (p. 9). Ever since, CoPs have been identified as an effective knowledge management application in numerous case studies, providing useful examples and best practices for how to design and foster CoPs in organizations. For example, DaimlerChrysler found CoPs “to be an efficient means to achieve business process improvement and manage complexity” by improving the flow and sharing of knowledge throughout the organization (Kannan, Aulbur, & Haas, 2005, p. 138). Ericsson Research Canada used online CoPs, finding them to be “a complete KM concept anchored in the people domain and supported by suitable technology” (Hemre, 2005, p. 157). Baria (2005) shared that Rolls-Royce has seen CoPs provide numerous benefits to “both the business and the individual” (p. 253) and have found that having a corporate CoP leader strengthens CoP activity (p. 246). And New Zealand has used predominantly virtual CoPs as an effective means of encouraging “inter-organizational knowledge networking on a national scale” (Rao, 2005, p. 206; Spence, 2005).

In additional applied research, Choi (2006) examined the potential of CoPs as an alternative learning model for knowledge creation and performance training in corporations; Choi also acknowledged CoPs as a key engine for creating and sharing both tacit and explicit knowledge. Choi (2006) also identified factors that facilitate or encourage CoP activity including “learning motivation and desire for learning, creation of work-related knowledge and sharing of expertise in CoP participation, relationship between theme and outcome of CoP and performance, trust among members, and the leadership trait of the team leader” (p. 144-145). Later in 2006, Zboralski et al. defined potential positive performance effects of CoPs including knowledge, business performance, and socialization (View image). They also developed a measurement model to evaluate the CoP constructs of information exchange, networking, network position, knowledge effect, business performance effect, and socialization (View image). Importantly, Zboralski et al. (2006) demonstrated “that CoPs have a close connection and positive direct impact on business performance” (p. 547) by quantitatively proving CoP members with a strong network position due to their involvement in a CoP have a positive effect on the knowledge base, the business performance, and the socialization between staff.

Critical Analysis

As we turn now to a critical analysis of the theoretical works and applied research, let us focus on Wenger’s contributions from the theoretical perspective and Zboralski et al.’s contributions from an applied research perspective.

Wenger

Bearing in mind that the scope of this paper did not allow for a detailed review of all of Wenger’s work, the materials reviewed were somewhat disappointing. Strong points of Wenger’s work included his solid work to conceptualize CoPs and emphasize the need for them to be very flexible, organic, and evolving in nature. In addition, his writing is approachable and appealing to readers, with many statements possessing good face validity, e.g., “intuitively, everybody knows what knowledge is. When you have it, you are likely to understand situations and do the right thing; when you don’t, you are in trouble” (Wenger, 2004, p. 1). However, his published work (including the materials cited in this paper) focuses more on the practitioner than the scholar; thus some of Wenger’s materials are sometimes lacking in scholarly rigor. For example, much of his published work is targeted to practitioners and most of his articles and materials were not published in peer-reviewed journals. (A search for peer-reviewed CoP articles that Wenger authored revealed only one article that he co-wrote with Eckert in 2005, and reading his detailed CV revealed that a very small percentage of his articles and papers have been published in peer-reviewed journals.) Despite this, Wenger’s material has become the seminal work on CoPs—as supported by the number of citations of Wenger’s work in CoP research articles plus Wenger’s own biography that claims “Communities of Practice: Learning, Meaning, and Identity, [is] a seminal book that lays out the theory of communities of practice” (Wenger, n.d.).

Wenger’s 2004 article was particularly disappointing. While the “doughnut” analogy for his model (View image) may make it feel more accessible to practitioners, he may be doing a disservice to the discipline of knowledge management—made all the worse by the fact that he begins the article stating that the field has had to deal with numerous skeptics and detractors. But then he goes on to state, “I will argue that when it comes to knowledge, management is a doughnut…and noting that the center of the doughnut is empty, I will argue that knowledge management is primarily the business of those who actually make the dough—the practitioners” (Wenger, 2004, p. 1). Again, perhaps this is an approachable analogy, but the light-heartedness of its description may make the reader question if knowledge management is a respectable discipline. Then in looking more closely at the writing of this article, the model is not directly linked to the structure of the paper, causing significant confusion and further making the doughnut model questionable. Further, Wenger (2004) missed opportunities to reinforce the model by not illustrating such statements as “this defines two paths between strategy and performance: business processes and communities of practices” on the model itself (p. 8). Ensuring the article’s structure directly followed the model (e.g., with consistent terminology and labeling of sub-sections) and illustrating all the concepts on the model would have greatly improved the quality and coherence of Wenger’s article and model. A final problem area is that Wenger lists key issues and questions at the end of each sub-section, yet does not address what actions should be taken to address these issues.

Zboralski et al.

In contrast, Zboralski et al.’s (2006) article was particularly impressive for not only its contribution to quantitatively proving a relationship between CoPs and organizational performance, but also in its thorough scholarly approach. The article begins with a very thorough literature review, establishing a strong relation between Zboralski et al.’s research and the existing body of knowledge. However, like most research projects in the social sciences, there were some weaker areas. For example, Zboralski et al.’s sampling is somewhat problematic. Within the selected multinational company, there were 220 CoPs that met the researchers’ criteria; yet over a four month timeframe they were only able to get questionnaire responses representing 36 of those CoPs. The researchers claimed that their coverage of “about 31% of all active community members…can be considered a valid representation of the overall population” (Zboralski et al., 2006, p. 542). However, it is not entirely clear by what objective criteria this claim can be made. The questionnaire for their measurement model was pre-tested, resulting in revisions prior to releasing the questionnaire to the sample population. However, the authors did acknowledge that a common method bias could not be ruled out. In addition, the study is somewhat limited in that it was based on one German multinational company with an extensive number of CoPs, and the measures were based on the CoP members’ perception of the CoPs’ effects on organizational performance. Overall, Zboralski et al.’s conclusions were justified by the results; however, they could be strengthened further by replicating the research with other companies plus comparing the results to the perceptions of non-members of CoPs or to objective performance measures that could not be influenced by the participants’ perception.

Conclusion

In completing this review and critical analysis of the literature on CoPs, it has been intriguing to see the different roles and contributions of the early theoretical works and the later applied research works. It is also fascinating to see the evolution of CoPs from an ethnographic dissertation to one of the most common knowledge management applications utilized by organizations today. Most significantly, it is encouraging to see the efforts of researchers to move from a theoretical base to quantifiable proof, thereby strengthening the professional discipline of knowledge management.


References:

Baria, D. (2005). A day in the life of a Rolls-Royce knowledge manager. In M. Rao (Ed.), Knowledge management tools and techniques (pp. 246-254). Burlington, MA: Elsevier Butterworth-Heinemann.

Choi, M. (2006). Communities of practice: An alternative learning model for knowledge creation. British Journal of Educational Technology, 37(1), 143-146.

Dalkir, K. (2005). Knowledge management in theory and practice. Burlington, MA: Elsevier Butterworth-Heinemann.

Hemre, A. (2005). Building and sustaining communities of practice at Ericsson Research Canada. In M. Rao (Ed.), Knowledge management tools and techniques (pp. 155-165). Burlington, MA: Elsevier Butterworth-Heinemann.

Kannan, G., Aulbur, W., & Haas, R. (2005). Knowledge management in practice: Making technology work at DaimlerChrysler. In M. Rao (Ed.), Knowledge management tools and techniques, Burlington, MA: Elsevier Butterworth-Heinemann.

Pea, R. (n.d.). IRL. Retrieved January 19, 2008 from http://www.stanford.edu/~roypea/HTML1%20Folder/irl.html

Rao, M. (Ed.). (2005). Knowledge management tools and techniques. Burlington, MA: Elsevier Butterworth-Heinemann.

Snyder, W. (1997). Communities of practice: Combining organizational learning and strategy insights to create a bridge to the 21st century. Retrieved December 15, 2007 from http://www.co-i-l.com/coil/knowledge-garden/cop/cols.shtml

Spence, P. (2005). Knowledge networking on a national scale: A New Zealand case study. In M. Rao (Ed.), Knowledge management tools and techniques (pp. 206-213). Burlington, MA: Elsevier Butterworth-Heinemann.

Wenger, E. (1990). Toward a theory of cultural transparency: Elements of a social discourse of the visible and the invisible. Unpublished doctoral dissertation, University of California.

Wenger, E. (1991, Fall). Communities of practice: Where learning happens. Benchmark, pp. 82-84.

Wenger, E. (2002). Cultivating communities of practice: A quick start-up guide. Retrieved January 9, 2008 from http://www.entreculturas.pt/Media/start-up_guide_PDF.pdf

Wenger, E. (2004). Knowledge management as a doughnut: Shaping your knowledge strategy through communities of practice. Ivey Business Journal, 68(3), 1-8.

Wenger, E. (n.d.). Full CV. Retrieved January 19, 2008 from http://www.ewenger.com/bio/biocv.htm

Wenger, E., McDermott, R., & Snyder, W. (2002). Seven principles for cultivating communities of practice. In Cultivating communities of practice: A guide to managing knowledge (chap. 3). Retrieved January 9, 2008 from http://www.askmecorp.com/pdf/7Principles_CoP.pdf

Zboralski, K., Salomo, S., & Gemuendon, H.G. (2006). Organizational benefits of communities of practice: A two-stage information processing model. Cybernetics & Systems, 37(6), 533-552.

- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com

January 30, 2008

Instructional Program Design

Instructional system design. Educational technology. Workplace learning and performance improvement. Program design. All terms to describe the creation of learning events, predominantly for adults. Guiding this process is the ADDIE model; it stands for Analysis, Design, Development, Implementation, and Evaluation—the major phases or elements involved in creating a learning event. The model is somewhat sequential from an Analysis, Design, Development, and Implementation (or delivery) perspective; with Evaluation often depicted as an iterative component one should revisit at the end of each of the other phases. While ADDIE is one of the most-frequently cited models for instructional program design, interestingly Molenda’s (2003) research revealed that “there does not appear to be an original, authoritative version of the ADDIE model” (p. 3). Despite that fact, the ADDIE model has endured and become a standard for the industry.

Analysis
The Analysis phase most typically includes components of performance analysis, task analysis, goal analysis, and audience analysis. With audience analysis in particular you can identify what motivates the learners and thus devise ways to tap into their internal and external motivators per the primary assumptions of Knowles’ andragogical model (Knowles, Holton, & Swanson, 2005). During the Analysis phase, humanism provides insight into the individual learner—which can be identified via target audience analysis and identifying the learners’ potential affective goals plus any motivational and/or environmental barriers that may impede the learner.

In practice, instructional program analysis can range from full curriculum needs assessments to course needs assessments. Rossett (1987) defines training needs assessment as “the systematic study of a problem or innovation, incorporating data and opinions from varied sources, in order to make effective decisions or recommendations about what should happen next” (p. 3). Techniques for needs analysis include review of existing materials, questionnaires, interviews, and focus groups. Additionally, one of the most critical things to remember about analysis is to not blindly accept someone’s proclamation of a performance problem. Mager & Pipe (1970) argue, “What people identify as ‘the problem’ often isn’t the problem at all. It is merely a symptom of the problem” (p. 2). Additionally, do not jump to the conclusion that training is the correct solution. The performance problem may not be a skill deficiency that can be solved via training, but rather something in the environment that either is an obstacle to performance or even rewards non-performance (Mager & Pipe, 1970).

Design
In the Design phase, the key task is to determine “the optimal instructional strategies, instructional sequencing, and instructional delivery media for the type of training objectives involved” (Clark, 1995, p. The Training System). One of the first and most important steps is to define the instructional objectives, or what it is the learner will be able to do after participating in the program. Elements of a well-prepared instructional objective include an observable behavior, conditions, and criteria (Mager, 1972). To not adopt a strictly cognitive or psychomotor focus in the design, it can be beneficial to also consider the different types of behavior introduced by Taba: values, attitudes, sensitivities, and feelings as well as knowledge, reflective thinking, and skills (as cited in Knowles et al., 2005, p. 128).

Once the objectives are defined, the next step is to sequence the instruction to build from easier to more difficult intellectual skills and strategies, e.g., from concrete concepts to rules and problem solving (Gagne & Briggs, 1978). Additionally, instructional strategies are defined; this can include the basic approaches of lecture, discussion, and case studies to more advanced techniques of accelerated learning, experiential learning, discovery learning, and goal based scenarios. Embedded in determining the instructional strategy is selecting the most appropriate delivery or media approach; some of the available options include self-paced instruction, classroom training, synchronous web conferences, asynchronous/recorded sessions, eLearning (with varying ranges of interactivity), and electronic performance support or job aids.

During the Design phase is where andragogy and other learning theories have significant influence. Behaviorism emphasizes that what is important is that the learner can actually display the behavior or perform. From this, comes the development of performance objectives that focus on observable behaviors, as well as performance gap analysis which identifies the differences between the current performance/observable behavior and what is desired. Andragogy is evident in the design of instructional programs that adhere to Knowles et al.’s (2005) principles, e.g., beginning a program with the rationale for why the learning is important; ensuring abundant opportunities for interaction and sharing of experience; and relating the learning to a challenge they are currently facing, and ideally having the learners use that problem to practice during the session. Behaviorism’s operant conditioning can be applied in the design of during and post-training activities that facilitate and reinforce the learning process. Cognitivism can be seen in such tools and techniques as advance organizers and discovery learning. Social cognitive theories contribute additional techniques with activities such as fish bowls and triads where learners observe and learn from each other. Constructionism contributes additional learning techniques with the facilitation of shared meaning, usage of dialogue, collaborative and cooperative learning, situated learning, and reflective practice.

Development
In the Development phase, the program’s design is translated into materials to be used by the facilitator and learners. The form of these materials will be determined by the delivery approach selected during the Design phase; however, they often include such deliverables as a facilitator’s guide, student workbook, visual presentation materials, and supporting job aids or reference materials. While the previous phases are typically completed by someone who specializes in adult education or instructional design (working in collaboration with subject matter experts), additional specialists may be required during the Development phase, e.g., information designers, media developers, and programmers.

Implementation
Implementation is typically considered the phase where the program is delivered. While this is certainly a critical phase, there are many items surrounding the actual learning event that need to be addressed when considering how to successfully implement an instructional program. In addition to delivery logistics, it is important to determine:

How will performance expectations be communicated to the audience and relevant others? Are there any conflicting expectations? How will the audience be held accountable for performance? What are the rewards for performing? What barriers to performance exist? What ongoing support will the learners, facilitators, or other stakeholders need? (Kucera, Hirsch, McBurney, & Hollister, 2004)

Here, behaviorism’s operant conditioning plays a role—such as when analysis reveals that a company’s rewards and recognition structure needs to be re-worked in order to ensure learning transfer. Andragogy becomes critical again during the implementation or delivery phase. The techniques that were envisioned in the design phase now need to be delivered by a skillful facilitator, most importantly ensuring abundant opportunities for interaction, sharing experience, and applying the learning to real-life problems. The facilitator also needs to ensure that the learning environment is comfortable from both a physical and interpersonal perspective (Knowles et al., 2005, pp. 118-120).

Evaluation
The Evaluation phase is one that should not wait until the end of the program design process; rather, it is something that needs to be considered throughout thereby enabling continuous improvement of the instructional program design process. From a learning perspective, “evaluation can tell us how to improve future programs,…determine whether a program should be continued or dropped,…[and] demonstrate that training has tangible, positive results” (Kirkpatrick, 1994, p. 20). The most well-known evaluation theory is Kirkpatrick’s (1994) four levels of evaluation including reaction (how did learners perceive the program), learning (what attitudes, skills, or knowledge did learners acquire), behavior (what behavior change occurred in the learner once back on the job), and results (what business impacts resulted from the learning).

Conclusion
Many theories play an important role throughout the instructional program design process. Knowles’s andragogy, Skinner’s behaviorism, Rogers’ humanism, and others all play important roles. Behaviorism acts as the bookends at the beginning and end of programs with performance objectives during Analysis and measurements during Evaluation. Humanism provides purpose to Analysis and Design with a student-centered approach and the goal of helping learners achieve self-actualization. The cognitivist and constructivist theories contribute various techniques and practices for how to Design and Develop a positive learning environment and experience. And andragogy provides guiding principles for how to Design and Implement effective programs for adult learners.

These and other theories and techniques have made valuable contributions to instructional program design and adult learning. Yet, the most important thing to remember as an adult learning practitioner is to carefully select which theories should be applied in a given situation depending on what is most appropriate for that particular adult audience’s learning needs and preferences. Thus the critical task lies in being able to Analyze the audience’s needs, desired behavior or attitudinal changes, and the context within which the learning is to happen—and then Designing, Developing, and Implementing via the theory(s) and technique(s) that will yield the best results (as measured via Evaluation).

References

Clark, D. (1995). Introduction to Instructional System Design. Retrieved November 29, 2007 from http://www.nwlink.com/~donclark/hrd/sat1.html

Gagne, R. & Briggs, L. (1978). Principles of instructional design (2nd ed.). New York: Holt, Rinehart, and Winston.

Kirkpatrick, D. (1994). Evaluating training programs: The four levels. San Francisco: Berrett-Koehler Publishers.

Knowles, M. S., Holton, E. F., & Swanson, R. A. (2005). The adult learner (6th ed.). Burlington, MA: Elsevier Butterworth-Heinemann. (Original work published 1973)

Kucera, J., Hirsch, D., McBurney, A., & Hollister, R. (2004). Training Roadmap. (Available from Equity Office Properties, 2 North Riverside Plaza, Chicago, Illinois 60606)

Mager, R. & Pipe, P. (1970). Analyzing performance problems. Belmont, CA: Fearon Pitman Publishers.

Mager, R. (1972). Preparing instructional objectives. Belmost, CA: Fearon Publishers.

Molenda, M. (2003). In search of the elusive ADDIE model. Performance Improvement, 42(5).

Rossett, A. (1987). Training needs assessment. Englewood Cliffs, NJ: Educational Technology Publications.

- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com

February 16, 2008

Self-Directed Learning and the Importance of Critical Reflection

According to Merriam, Caffarella, & Baumgartner (2007), the three main goals of self-directed learning are “(1) to enhance the ability of adult learners to be self-directed in their learning, (2) to foster transformational learning as central to self-directed learning, and (3) to promote emancipatory learning and social action as an integral part of self-directed learning” (p. 107). The first goal relates to helping learners develop the learning and meta-learning skills related to “learning how to learn.” The second goal adds consideration of the change that occurs internally for the learning as a result of critical reflection upon one’s learning. The third goal adopts a larger perspective on self-directed learning, with inclusion of critical analysis of the context in which the learning takes place as well as its impact.

The most important part of the second goal of self-directed learning is the inclusion of critical reflection, for it is through critical reflection that connections are made (e.g., Spears’s learning clusters) and new knowledge is created. In fact, providing the opportunity for reflection is a characteristic often cited as critical to learning organizations and the creation of individual and organizational knowledge (Kline & Saunders, 1998; Marsick & Watkins, 1999; Senge, 2006). Brookfield (1995) also supports this view, stating that “developing critical reflection is probably the idea of the decade for many adult educators who have long been searching for a form and process of learning that could be claimed to be distinctively adult” (p. 3).

Some may question whether it is the "critical" part of critical reflection that makes it adult. The idea of critical thought processes was something that, personally, I found myself struggling with in the early months of my doctoral studies. Growing up female in a middle-class American family, I was told that to be critical was to be impolite. Through my studies now as an adult in my early forties with the benefit of greater life and professional experience, I have been able to see that being critical can be done very respectfully and is, in fact, a much preferred way to approach the considerations of much any topic we are confronted with as scholars, professionals, and adults. Being critical does not have to mean that you are minimizing someone else’s points. Rather, it means that you ask carefully-considered questions such as those proposed by Browne and Keeley (2004):

- What are the issues and the conclusions?

- What are the reasons?

- Which words or phrases are ambiguous?

- What are the value conflicts and assumptions?

- Are there any fallacies in the reasoning?

- How good is the evidence?

- Are there rival causes?

- Are the statistics deceptive?

- What reasonable conclusions are possible? (p. 13)

Critical thinking and reflection also mean that one is not simply accepting the status quo, nor taking an absolute agree-or-disagree stance. Critical thinking and reflection means being comfortable with the ambiguity of “truth” and what’s “right”—and being open to many definitions. And why embrace critical thinking and reflection? As Brown and Keeley (2004) so aptly argue, “...critical thinking begins with a desire to improve what we think. The point of [the questions you ask is to] help [you] to have a deeper understanding or appreciation of what is being said” (p. 3).

Returning to the subject of self-directed learning, Brookfield (as cited in Merriam et al., 2007) also argues that “having learners exercise control over all educational decisions needs to be a consistent element of self-directed learning” (p. 109). Brookfield (1993) also argues that this “self-direction can be interpreted as part of a cultural tradition that emphasizes the individual's standing against repressive interests.” Furthermore, “self-directed learning should be interpreted as part of a cultural tradition emphasizing individuals' standing against oppression. This involves recognizing that (1) political issues of control and power are at its heart and (2) authentic practice of self-directedness requires certain political conditions (access to resources)” (SK, n.d.). Thus together, the practices of reflection and learner control as applied to self-directed learning ensure that the learner questions the status quo and forms educated conclusions based on a critical thought process.

References

Brookfield, S. (1993). Self-directed learning, political clarity, and the critical practice of adult education [Abstract]. Adult Education Quarterly, 43(4), 227-242.

Brookfield, S. (1995). Adult learning: An overview. In A. Tuinjman (ed.) (1995). International Encyclopedia of Education. Oxford, Pergamon Press. (Forthcoming). Retrieved February 6, 2008 from http://www.fsu.edu/~elps/ae/download/ade5385/Brookfield.pdf

Browne, M. N., & Keeley, S. M. (2004). Asking the right questions: A guide to critical thinking (7th ed.). Upper Saddle River, NJ: Person Prentice Hall.

Kline, P. & Saunders, B. (1998). Ten steps to a learning organization (2nd ed.). Salt Lake City, UT: Great River Books.

Marsick, V. J., & Watkins, K. E. (1999). Facilitating learning organizations. Brookfield, VT: Gower.

Merriam, S. B., Caffarella, R. S., & Baumgartner, L. M. (2007). Learning in adulthood (3rd ed.). San Francisco: John Wiley & Sons.

Senge, P. M. (2006). The fifth discipline: The art and practice of the learning organization (Rev. ed.). New York: Doubleday.

SK. (n.d.). Brookfield’s Self-directed learning, political clarity, and the critical practice of adult education. In ERIC. Retrieved February 6, 2008 from http://eric.ed.gov


- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com

February 18, 2008

Knowledge Management and the Learning Organization

In the past decade, more and more researchers and practitioners have begun to acknowledge the potential synergies and interrelationships between knowledge and learning. This is particularly evident in the convergence of the concepts of the learning organization (LO) and knowledge management (KM). Senge (1990/2006) first introduced the concept of the learning organization as a set of core learning capabilities that enable an organization to innovate (i.e., to create new knowledge) and create sustainable advantage. In 1999, Senge shared that he saw KM addressing “the same critical issues [that the Society of Organizational Learning] members have been struggling with—the sustainable creation, transfer, and dissipation of organizational knowledge” (Karlenzig as cited in McElroy, 2003). In studying the areas of organizational forgetting, organizational memory, and how knowledge transfer is a key to creating organizational learning, Argote (2005/1999) posits that “patterns of knowledge creation, retention, and transfer contribute to differences in the rates at which organizations learn” (p. 203). Loermans (2002) defines the relationship between KM and LO by stating that the LO focuses on the learning process and generating new knowledge while KM “takes the output from the LO, manages it and ensures that an appropriate environment to perpetuate the generation and management of knowledge capital is being properly maintained” (p. 292). Loermans (2002) also cites the research of Brown and Woodland, Wikstrom and Norman, and Allee, observing that organizational learning claims “that learning is the process of acquiring knowledge” while KM claims “that each aspect of knowledge has a corresponding learning activity that supports it” (p. 290). McElroy (2003) argues that “second-generation KM [is] a management discipline that focuses on enhancing organizational learning…[and that] KM is an implementation strategy for organizational learning” (p. 19). Mason (2005) also argues that “learning and knowledge have a symbiotic relationship; they depend upon each other” (p. 321).

So what are the implications of this convergence between knowledge and learning for practitioners? Loermans (2002) recommends that “a corporate architecture [be created] to facilitate learning at the organization level and to create knowledge sharing and dissemination mechanisms across the organization” (p. 290). Mason (2005) recommends considering the use of e-learning as important “knowledge scaffolding” and that “much of the infrastructure development that supports e-learning [is] convergent with systems developed to support knowledge management” (p. 321) —for example, enterprise knowledge portals and Learning Content Management Systems (LCMS). Furthermore, while “content may have been king at the peak of the dot-com boom, [we now know] that context will always shape its usage” (Mason, 2005, p. 322)—and learning is where context and meaning are formed. In addition, any KM, OL, and e-learning initiative must be “designed with...[an] understanding of [how to] sustain online culture…[and an] appreciation that “e” also stands for engagement” (Mason, 2005, p. 322). Thus people, cultural, and infrastructure considerations must always come first for the success of any KM, OL, and e-learning initiative.

In closing, practitioners should consider this final piece of advice from Loermans (2002):

If the discipline of KM operates in such a way as to improve an organization’s learning capability, it therefore improves the capacity for the organization to generate new knowledge and thus systematically expand the knowledge base of the organization. For this cycle to operate effectively, organizational learning and knowledge generation need to be fully integrated into every mission critical business process that the organization is involved in. This is more a cultural than a technological challenge. (p. 292) [Therefore], organizations should focus on the total inter-organization learning process (i.e., the creation of new corporate knowledge from the total environment within which the organization operates) and the nurturing of the cultural environment that supports it and ensures its continuing development. (p. 293)

References

Argote, L. (2005/1999). Organizational learning: Creating, retaining, and transferring knowledge. New York: Springer.

Loermans, J. (2002). Synergizing the learning organization and knowledge management. Journal of Knowledge Management, 6(3), 285-294.

Mason, J. (2005). From e-learning to e-knowledge. In M. Rao (Ed.), Knowledge management tools and techniques (pp. 320-328). Burlington, MA: Butterworth-Heinemann.

McElroy, M. (2003). The new knowledge management. Burlington, MA: Butterworht-Heinemann.

Senge, P. M. (1990/2006). The fifth discipline: The art and practice of the learning organization. New York: Doubleday.

- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com

March 9, 2008

CLO and CKO Roles

While the roles of a CLO and CKO often have similar elements, there are unique responsibilities that each one holds. The role of a CLO is to “leverage learning through the culture of an organization, the type of knowledge and learning it wants to emphasize, and how technologically focused it is” (Dalkir, 2005, p. 292). The CKO, on the other hand, is responsible for “formulating [a] knowledge management strategy, handling knowledge management operations, influencing change in the organization, and managing knowledge management staff” (Rusonow as cited in Dalkir, 2005, p. 290). This brief will examine the strategic planning role of CLOs and CKOs, compare their roles and responsibilities, and provide a profile of the individuals in these roles at a national nonprofit organization.

Strategic Planning Role of CLOs

The strategic planning role of CLOs revolves around establishing the strategic importance of learning, leveraging learning as a key linkage within the organization, and managing learning as a business. It is critical that CLOs demonstrate the strategic importance of learning in the organization. This can be done through efforts targeted to both the senior leadership team as well as within the learning function. With the senior leadership team, Baldwin & Danielson (2000) encourage CLOs to raise the level of inquiry and work with the senior leadership team to craft the business strategy rather than play a support role of only helping to rollout or implement new business strategies. Jones (2007) encourages CLOs to work with the senior leadership team to help “leaders to take a look at the talent implications of the strategies and initiatives that they have going on” and to integrate “development into conversations about corporate objectives…[plus] show senior line management how learning relates to their strategic goals and teach them their role in the development process” (p. 52). Within the learning function, Phillips (2004) encourages CLOs to develop a strategic plan including determining the mission, vision, values, and strategic objectives for the learning organization plus “identifying stakeholders, audiences, services, and scope of the [learning] function” (p. 50).

The second key strategic planning role of CLOs is leveraging learning as a key linkage within the organization. In fulfilling the strategic role of CLO, Baldwin & Danielson (2000) argue that this position needs to ensure that there is a strong strategic linkage and business case established for all initiatives and to link “directly to the strategic direction of the firm” (p. 12). Phillips (2004) recommends linking learning “to the business issues to ensure that learning requests are not based on faulty assumptions or inadequate analyses” (p. 52). Finally, the third key strategic planning role of CLOs is managing learning as a business. This begins by working with the senior leadership team to set the preferred investment level and strategy that can include any of the following options: “[1] let others do it…[2] invest only the minimum…[3] invest [the same as] the rest…[4] invest until it hurts…[or 5] invest as long as there is a payoff” (Phillips, 2004, p. 50). Once the investment level is set, the CLO needs to “produce tangible value for the investment” in learning through tracking and managing by critical performance measures (Baldwin & Danielson, 2000, p. 13).

Strategic Planning Role of CKOs

Turning now to CKOs, Awaza & Desouza (2004) argue that CKOs are responsible for “[1] institutionalizing knowledge sharing incentives, [2] breaking knowledge bottlenecks in the organization that impede smooth knowledge flows, [and 3] embedding knowledge into the work practices and processes” (p. 343). Bonner recommends that CKOs work to “locate knowledge within a company and find ways to capture, distribute, and create more of it” (p. 37). Furthermore, CKOs are responsible to:

1. Leverage the technical infrastructure to better manager the transfer and flow of explicit knowledge assets.
2. Foster and develop social mechanisms to enable the exchange of tacit know-how, skills, and abilities.
3. Manage the flow of knowledge between an organization and its business partners…
4. …set the direction, structure, and give direction as [to] how to manage the content in [knowledge] repositories, from a logical point of view. (Awaza & Desouza, 2004, p. 341)

Comparison of CLO and CKO Roles and Responsibilities

To compare the responsibilities of the CLO and CKO, Awaza & Desouza (2004) do an excellent job of simplifying the differences by arguing:

CKOs are mainly responsible for leveraging existing knowledge resources in the firm [and] CLOs are mainly responsible for managing the knowledge generating agents of the organization…[by] infusing them with new training and development so that they can create knowledge to be managed. (p. 342)

In other words, the CLO and the learning function should focus on functional skill development and creating capacity to create knowledge while the CKO and knowledge function takes the output of learning and focuses on dissemination, providing access, and promoting an environment and opportunities for knowledge creation and sharing.


References

Awaza, Y. & Desouza, K. (2004). The knowledge chiefs: CKOs, CLOs, and CPOs. European Management Journal, 22(3), 339-344.

Baldwin, T. & Danielson, C. (2000). Building a learning strategy at the top: Interviews with ten of America's CLOs. Business Horizons, 43(6), 5-14.

Bonner, D. (2000). Enter the chief knowledge officer. Training & Development, 54(2), 36-40.

Dalkir, K. (2005). Knowledge management in theory and practice. Burlington, MA: Elsevier Buttwrworth-Heinemann.

Jones, T. (2007). Raising the stakes: The strategic role of the CLO. Chief Learning Officer, 6(11), 52.

Phillips, J. (2004). The CLO's critical role: Nine areas for action. Chief Learning Officer, 3(12), 50-53.


- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com

March 23, 2008

Learning Paradigms

Informative/Transformative Learning versus Human /Social Capital Paradigms

This paper explores the parallels between informative and transformative learning to the human capital and social capital paradigms, as well as their relation to worklong and lifelong learning. Definitions and the theory for these concepts are introduced, followed by the implications of how the theories relate to one another. The paper then concludes with the author’s personal reflections as an adult learner and educator experiencing these theories in practice.

Theory

Burton (2006) defines informational learning as “the acquisition of knowledge… [and changing] the amount we know about something” (p. 2). In contrast, “transformational learning has affective, interpersonal, and moral dimensions… [and is thus] about how we know and not about what we know” (Burton, 2006, p. 2). Imel (1998) expands on transformational learning, claiming that there are “two views of transformative learning… one [Mezirow’s] advocates a rational approach that depends primarily on critical reflection whereas the other [Boyd and Myers’] relies more on intuition and emotion” (p. 4).

The human capital paradigm calls for lifelong learning that prepares individuals for their economic contributions to their organizations, communities, and society overall. The human capital paradigm thus focuses on building one’s storehouse of skills and knowledge in preparation for contributions to generating tangible goods and traditional forms of capital. Social capital is more subjective and holistic, being something developed and measured based on “social values and norms,…working for the common good,…[and] social well-being” (Kerka, 2000). Robison & Flora (2003) add that the social capital paradigm “describes the influence of relationships on social, emotional, and economic transactions” (p. 1187) and “combines our interest in transactions involving tangible goods and services created by traditional forms of capital [with] transactions involving intangible or socio-emotional goods created by social capital” (p. 1191).

Implications

In considering the connections between worklong learning and lifelong learning versus the human capital/social capital paradigms and informative/transformative learning, one can see particularly strong connections between worklong learning, the human capital paradigm, and informative learning. Informative learning is about increasing how much we know. Similarly, the goal of the human capital paradigm is to “build [one’s] ‘capital’ by developing skills and accumulating educational qualifications [whose] outcomes are measured in terms of income, productivity, and other economic indicators of success” (Kerka, 2000). This closely parallels the goals of worklong learning that “focuses on preparation for occupational goals” (Kerka, 2000). Worklong learning can be considered the focus of most workplace learning (or training), as well as many academic programs that have a pragmatic (rather than liberal arts) approach.

Similarly strong connections can be seen across lifelong learning, the social capital paradigm, and transformational learning. Lifelong learning encompasses many of the meta-learning skills that can be applied to everything that one learns over a lifetime, thus preparing “individuals for a variety of life roles, including citizenship” (Kerka, 2000)—very similar to the goals and purpose of the social capital paradigm. For example, this would include an individual’s ability to “take responsibility for learning, learn through research, reflect and evaluate, [and] use information and communications technology” (Kerka, 2001). Applied via critical thinking skills, lifelong learning also includes the “transformative learning [that] involves a questioning of assumptions and a fundamental rethinking of premises” (Kerka, 2001). Mezirow himself argued for the need for critical reflection as part of this process, arguing that “transformative learning occurs when individuals change their frames of reference by critically reflecting on their assumptions and beliefs and consciously making and implementing plans that bring about new ways of defining their worlds” (Imel, 1998, p. 3). Furthermore, “transformative learners move toward a frame of reference that is more inclusive, discriminating, self-reflective, and integrative of experience” (Mezirow, 1997, p. 5).

To enhance social capital and foster an environment for transformational learning involves a shared responsibility between both the facilitator and the learners. The facilitator needs to establish “an environment that builds trust and care and facilitate the development of sensitive relationships among learners…[and] consider how they can help students connect the rational and the affective by using feelings and emotions both in critical reflection and as a means of reflection” (Taylor as cited in Imel, 1998, p. 4-5). It is important to note that the responsibility does not lie with the facilitator alone; learners also share in creating and supporting “the conditions under which transformative learning can occur” (Imel, 1998, p. 5). Furthermore, educators must “help learners become aware and critical of their own and others’ assumptions, … [and] assume responsibility for setting objectives that explicitly include autonomous thinking and recognize that this requires experiences designed to foster critical reflectivity and experience in discourse” (Mezirow, 1997, p. 10).

Practice

As an adult learner and workplace learning and performance improvement professional, I have experienced and been a part of numerous learning programs with a worklong, human capital, and informative learning approach. In many cases, transformative learning is something saved for executive and management development—and even that is often relegated to “special” topics and not woven into the overall program. Additionally, when discovery learning techniques are designed into a program, all too often it is the time for reflection and debrief/discourse that are the first to be cut from the agenda when time is tight. This unfortunately minimizes learning’s potential to truly transform.

Sadly, this experience extends to my academic experience as well; not until I began my doctoral studies did I begin to take part in more transformative learning opportunities that encourage critical thinking and reflection. While I am still a strong supporter of a very pragmatic approach to education, it is disappointing that even my graduate program experiences did not expose me to the necessary autonomous thinking skills for building social as well as human capital. Armed with this enhanced awareness, I hope to help others see the truth in the following statement from Mezirow and to take the necessary actions to ensure the development of these critical autonomous thinking skills: “For some, any uncritically assimilated explanation by an authority figure will suffice. But in contemporary societies we must learn to make our own interpretations rather than act on the purposes, beliefs, judgments, and feelings of others” (1997, p. 5).

References:

Burton, J. (2006). Transformative learning: The hidden curriculum of adult life. Work Based Learning in Primary Care, 4(1), 1-5.

Imel, S. (1998). Transformative learning in adulthood (ERIC Digest No. 200). Columbus, OH: ERIC Clearinghouse on Adult Career and Vocational Education. (ERIC Document Reproduction Service No. ED423426)

Kerka, S. (2000). Lifelong learning. Retrieved March 7, 2008 from http://www.cete.org/acve/docgen.asp?tbl=mr&ID=97

Kerka, S. (2001). The balancing act of adult life. Retrieved March 7, 2008 from http://www.cete.org/acve/docgen.asp?tbl=digests&ID=114

Mezirow, J. (1997). Transformative learning: Theory to practice. New Directions for Adult & Continuing Education, 7(74), 5-12.

Robison, L.J., & Flora, J.L. (2003). The social capital paradigm: Bridging across disciplines. Americaon Journal of Agricultural Economics, 85(5), 1187-1193.


- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com

March 24, 2008

References: Knowledge Creation through Informal Learning and Communities of Practice

Argote, L. (1999/2005). Organizational learning: Creating, retaining, and transferring knowledge. New York: Springer.

Choi, M. (2006). Communities of practice: An alternative learning model for knowledge creation. British Journal of Educational Technology, 37(1), 143-146.

Clarke, N. (2005). Workplace learning environment and its relationship with learning outcomes in healthcare organizations. Humand Resource Development International, 8(2), 185-205.

Cross, J. (2007). Informal learning: Rediscovering the natural pathways that inspire innovation and performance. San Francisco: Pfeiffer.

Dalkir, K. (2005). Knowledge management in theory and practice. Burlington, MA: Elsevier Butterworth-Heinemann.

De Laat, M. (2006). Networked learning. Unpublished manuscript. University of Utrecht, Utrecht.

Eraut, M. (2000). Non-formal learning, implicit learning and tacit knowledge in professional work. In F. Coffield (Ed.), The learning society: The necessity of informal learning (Vol. 4, pp. 12-30). Bristol, UK: The Policy Press.

Eraut, M. (2004). Informal learning in the workplace. Studies in Continuing Education, 26(2), 247-273.

Eraut, M., Alderton, J., Cole, G., & Senker, P. (2002). Learning from other people at work. In R. Harrison, F. Reeve, A. Hanson, & J. Clarke (Eds.), Supporting lifelong learning (Vol. 1, pp. 128-145). New York: Routledge.

Kannan, G., Aulbur, W., & Haas, R. (2005). Knowledge management in practice: Making technology work at DaimlerChrysler. In M. Rao (Ed.), Knowledge management tools and techniques, Burlington, MA: Elsevier Butterworth-Heinemann.

Kaplan, R. S. (2001). Strategic performance measurement and management in nonprofit organizations. Nonprofit Management & Leadership, 11(3), 353-370.

Kocakulah, M. C. & Austill, A. D. (2007). Balanced scorecard application in the health care industry: A case study. Journal of Health Care Finance, 34(1), 72-99.

Loermans, J. (2002). Synergizing the learning organization and knowledge management. Journal of Knowledge Management, 6(3), 285-294.

Maki-Komsi, S., Poyry, P. & Ropo, E. (2005). Learning and knowledge building in distributed work environment. The Electronic Journal for Virtual Organizations and Networks, 7, 34-55.

Marsick, V. J. (2006). Informal strategic learning in the workplace. In J. Streumer (Ed.), Work-related learning (pp. 51-69). Dordecht, The Netherlands: Springer.

Marsick, V. J., & Watkins, K. E. (1990). Informal and incidental learning in the workplace. New York: Routledge.

Marsick, V. J., & Watkins, K. E. (1999). Facilitating learning organizations: Making learning count. Brookfield, Vermont: Gower Publishing.

Marsick, V. J., & Watkins, K. E. (2001). Informal and incidental learning. New directions for adult and continuing education, 2001(89), 25-34.

Marsick, V., Watkins, K., Callahan, M. W., Volpe, M. (2006, February). Reviewing theory and research on informal and incidental learning. Paper presented at Academy of Human Resource Development International Conference, Columbus, OH. Retrieved February 23, 2008, from http://eric.ed.gov/ERICDocs

Mason, J. (2005). From e-learning to e-knowledge. In M. Rao (Ed.), Knowledge management tools and techniques (pp. 320-328). Burlington, MA: Butterworth-Heinemann.

McElroy, M. (2003). The new knowledge management. Burlington, MA: Butterworht-Heinemann.

Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. New York: Oxford University Press.

Rao, M. (Ed.). (2005). Knowledge management tools and techniques. Burlington, MA: Elsevier Butterworth-Heinemann.

Senge, P. M. (1990/2006). The fifth discipline: The art and practice of the learning organization. New York: Doubleday.

Skule, S. (2004). Learning conditions at work: A framework to understand and assess informal learning in the workplace. International Journal of Training and Development, 8(1), 8-20.

Snyder, W. (1997). Communities of practice: Combining organizational learning and strategy insights to create a bridge to the 21st century. Retrieved December 15, 2007 from http://www.co-i-l.com/coil/knowledge-garden/cop/cols.shtml

Speckbacher, G. (2003). The economic of performance management in nonprofit organizations. Nonprofit Management & Leadership, 13(3), 267-281.

Spence, P. (2005). Knowledge networking on a national scale: A New Zealand case study. In M. Rao (Ed.), Knowledge management tools and techniques (pp. 206-213). Burlington, MA: Elsevier Butterworth-Heinemann.

Wallace, D. D., & Colbert, E. M. (2001). Adult learning and collaboration in a school culture. Unpublished doctoral dissertation, Teachers College, Columbia University.

Wenger, E. (1990). Toward a theory of cultural transparency: Elements of a social discourse of the visible and the invisible. Unpublished doctoral dissertation, University of California.

Wenger, E. (1991, Fall). Communities of practice: Where learning happens. Benchmark, pp. 82-84.

Wenger, E. (2002). Cultivating communities of practice: A quick start-up guide. Retrieved January 9, 2008 from http://www.entreculturas.pt/Media/start-up_guide_PDF.pdf

Wenger, E. (2004). Knowledge management as a doughnut: Shaping your knowledge strategy through communities of practice. Ivey Business Journal, 68(3), 1-8.

Wenger, E., McDermott, R., & Snyder, W. (2002). Seven principles for cultivating communities of practice. In Cultivating communities of practice: A guide to managing knowledge (chap. 3). Retrieved January 9, 2008 from http://www.askmecorp.com/pdf/7Principles_CoP.pdf

Zboralski, K., Salomo, S., & Gemuendon, H.G. (2006). Organizational benefits of communities of practice: A two-stage information processing model. Cybernetics & Systems, 37(6), 533-552.

Knowledge Creation through Informal Learning and Communities of Practice, part 1

Introduction

Differing views abound on the relationship of learning and knowledge management. Some believe they are unique and separate disciplines, and others see significant synergy between them. This paper will link learning and knowledge management through an exploration of how learning—and informal learning in particular—offers a viable gateway to accessing tacit knowledge. It will also explore how communities of practice (CoPs) can be an effective knowledge management application for realizing the knowledge creation and sharing potential presented by informal learning. The approach taken will be a review and analysis of the literature for informal learning and CoPs, followed by applied research that shows the role of knowledge management in both informal learning and CoPs. A critical analysis of the literature and research follows, leading to a discussion of the implications for practitioners. The paper concludes with a proposed application of these concepts to a large nonprofit organization; included are key survey results from their recent learning organization assessment plus resulting recommendations for implementation (including potential metrics).

To begin, it is important to understand two of the key concepts that will be covered in this paper: informal learning and CoPs.

Informal Learning

Informal learning is often defined as the individually driven lifelong learning that occurs outside training or a classroom. Depending on the study, informal learning comprises 70, 80, or even 90 percent of workplace learning (Cross, 2007, pp. 243-244). Ironically, most organizations focus their investments on only the 10, 20, or 30 percent of formalized training that occurs inside a classroom, in pre-scheduled meetings, or on a computer via e-learning. Marsick and colleagues have studied and published a great deal on the subject over the last 20 years. In addition, Eraut has performed multiple studies on informal learning in the last decade.

Communities of Practice

Beginning with its roots in anthropology, CoPs have been studied by many since Wenger and Lave first introduced the concept in 1991. CoPs can be defined as “a group of people having common identity [and] professional interests and that undertake to share, participate and establish a fellowship” (Pickett as cited in Dalkir, 2005, p. 112). Dalkir (2005) describes CoPs as typically informally-created groups centered around a common focus or goal, whether a profession, work function, problem, topic, or industry; furthermore, members’ commitment is driven by trust and professional behaviors/practices (p. 124) and they typically possess a virtual workspace in which “to store stories, artifacts, tools, discussions, glossaries, [and] historical events” (p. 125).

Next:

We'll explore the literature that underlies informal learning, communities of practice, and knowledge creation.


References:
http://www.blog.klpnow.com/2008/03/references_knowledge_creation.html

- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com

March 25, 2008

Part 2: Knowledge Creation through Informal Learning and Communities of Practice

Literature Review

Informal Learning

To further understand informal learning, Marsick & Watkins (1990, p. 12) contrasted informal learning versus formal learning as follows:

Formal learning is typically institutionally sponsored, classroom-based, and highly structured. Informal learning…may occur in institutions, but it is not typically classroom-based or highly structured, and control of learning rests primarily in the hands of the learner…[Furthermore, it] can be deliberately encouraged by an organization or it can take place despite an environment not highly conducive to learning.

Characteristics of informal learning include a learning process that (a) is integrated with daily routines, (b) is prompted by an unexpected internal or external event, (c) is mostly unconscious, random, and influenced by chance, (d) includes opportunities for reflection and action, and (e) links to the learning of others (Marsick & Volpe as cited in Marsick & Watkins, 2001, p. 28).

Marsick & Watkins’ informal learning model.
Marsick & Watkins (1990) developed a model for enhancing informal learning, which they further modified in later work (Cseh, Watkins, & Marsick, as cited in Marsick & Watkins, 2001). View image
In their model, the center circle of Work and outer circle of Context represent Marsick & Watkins’ “belief that learning grows out of everyday encounters while working and living in a given context” (2001, p. 29). Informal learning begins with Triggers, the perception of which are influenced or framed by our previous experiences. The learner then progresses through the remaining phases not necessarily in sequential order, but rather as Marsick & Watkins characterize as “an ebb and flow as people begin to make sense of a situation” (2001, p. 29). The new situation is experienced and the learner applies different strategies to examine the situation and devise potential solutions. Once this portion of the cycle is complete, the learner implements the selected solution. Ideally, the learner continues the cycle by reflecting on the selected course of action to evaluate its consequences and identify lessons learned. The first phases of the informal learning model are where the learner is applying his/her meta-learning skills to the new situation. Reflection and evaluation are key components of the middle portion. Then, in the final portion of Marsick & Watkins’ informal learning model, the process concludes with the identification of lessons learned—and therein lies the greatest potential for capturing newly created knowledge so that it can then be shared with and applied by others.

Additional theorists’ contributions.
Building upon Marsick & Watkins’ work, additional theorists have made noteworthy contributions to the study of informal learning. Eraut (2004) has developed and revised a typology of informal learning modes further breaking down informal learning into implicit learning, reactive learning, and deliberative learning—all of which can occur in the past, present, or future. With Marsick acting as their dissertation sponsor, Wallace & Colbert (2001) focused on implementing the theory of informal learning by identifying the factors most important to learning in daily work situations versus in problem solving situations; these factors included talking, perspective sharing, reflection, and trust. They also developed a set of recommendations for how “to structure an organization to support a community of work-learners and…ways to build collaborative work and learning skills” (2001, p. Abstract). Eraut, Alderton, Cole, & Senker (2002) defined and provided examples of informal learning methods, or what the authors termed ‘organized learning support’ that include mentoring and coaching; rotations, visits, and shadowing; and designated experts. They also provided examples of how work group collaboration and learning from outside one’s workgroup can support informal and lifelong learning. Skule (2004) identified seven learning conditions that affect informal learning at work, creating measurable factors that can be used to quantitatively assess workplace informal learning; these factors included exposure to change and high demands, the extent of one’s professional network, feedback, management support for learning, and rewarding proficiency. Clarke (2005) provided empirical evidence of the effect that different aspects of the learning environment have on informal learning in the workplace such as opportunities for independent on-the-job learning, empowerment, and support for reflection and job challenges.

Communities of Practice

The study of CoPs began with predominantly ethnographic studies, progressed through to qualitative studies, and then more recently has expanded into quantitative studies that are attempting to display a link between CoPs and improvements in organizational performance. Wenger is considered by many to be the seminal theorist on CoPs and has published much on the subject. Through an impressive ethnographic study in his dissertation, Wenger (1990) began his investigation into the characteristics of communities and the people and practices that make up those communities. In 1991, Wenger first published on the subject of CoPs. His article introduced the idea of “learning as a social phenomenon… [where] information only takes meaning in the context of the social practices of the communities that give it cultural life… [Furthermore,] through our membership in their communities…we come to know—and be empowered by what we know” (Wenger, 1991, p. 83). This concept was further reinforced in Wenger’s work that year with Lave where they first identified the CoP concept in their “research toward a ‘social theory of learning’” (Zboralski, Salomo, & Gemuendon, 2006, p. 535).

In 1997, Snyder built on Wenger’s and others’ early work by identifying CoPs as a tool for enhancing organizational learning, building organizational competencies, and improving organizational performance. To support this claim, Snyder (1997) argued that “competencies in the current environment are rarely static, so high-performance [CoPs] engage in continuous learning activities to ensure that competencies are built, shared, and applied effectively” (p. 8-9). Furthermore, CoPs:

“…are aligned with competencies…they both enact competencies…and develop and renew competencies through a variety of learning activities. [They] “also constitute influential organization conditions…that influence communication and coordination… [and] are aligned, therefore, with several of the factors associated with a performance-based model of organizational learning.” (Snyder, 1997, p. 9)

Snyder’s most important contribution in his 1997 article was the introduction of a “set of [33] testable hypotheses about how CoPs influence performance, how they learn competence, and what conditions facilitate competence development” (p. 14). These 33 hypotheses can be used to test the interrelation between CoPs and organizational learning, organizational competence, and organizational performance. In fact, this set of hypotheses for testing the interrelation between CoPs and organizational learning, organizational competence, and organizational performance went on to encourage many research efforts including those by Lesser & Prusak; Dove; Lorenz; Smith & McKeen; Webb, Wunram, Lettice & Klein; Lucas; and more.

In 2002, Snyder and Wenger collaborated (along with McDermott) on the writing of the seminal book Cultivating Communities of Practice: A Guide to Managing Knowledge. In it, they introduced seven design principles for CoPs:
1. Design for evolution
2. Open a dialogue between inside and outside perspectives
3. Invite different levels of participation
4. Develop both public and private community spaces
5. Focus on value
6. Combine familiarity and excitement
7. Create a rhythm for the community
(Wenger, McDermott, & Snyder, 2002, p. 51)

This work also led to the creation of Wenger’s quick start-up guide that succinctly presented the major concepts related to CoPs (Wenger, 2002). View image In 2004, Wenger reinforced his earlier proposition of the social nature of knowledge by arguing that “communities of practice [are] the social fabric of knowledge” (p. 1). He further described the three elements of a community of practice (domain, community, and practice) and defined the role of management sponsorship to “enable communities to thrive and have an impact on the performance of the organization” (Wenger, 2004, p. 7).

Knowledge Creation Model

Providing an application for both informal learning and knowledge management, CoPs can be a very effective mechanism for knowledge creation and conversion. As defined by Nonaka & Takeuchi (1995), knowledge is created through processes by which an individual’s tacit or explicit knowledge is converted through socialization, externalization, combination, or internalization. View image Socialization is the conversion of tacit to tacit knowledge, often involving face-to-face interactions; this is a common method of knowledge conversion seen in informal learning and CoPs. Externalization is the conversion of tacit to explicit knowledge, often involving interviews or other methods to capture another’s expertise; this is a common method of knowledge conversion most often seen in formal learning (particularly in the process of instructional designers working with subject matter experts in the creation of learning programs). Combination is the conversion of explicit to explicit knowledge, often involving the synthesis of existing data, information, or knowledge in a new way; this is another common method of knowledge conversion seen in formal learning programs. Internalization is the conversion of explicit to tacit knowledge, often involving ‘learning by doing’ so that the knowledge or skill becomes deeply internalized and rote; this is a common method of knowledge conversion seen in both informal and formal learning through mentoring and apprenticeships. In CoPs, socialization is the primary knowledge conversion mechanism employed, while the others can play supporting roles. For example, if CoPs are taking steps to capture their knowledge, externalization will be an additional source of knowledge conversion.

Next:

We'll explore the applied research that has been conducted on informal learning and knowledge management, as well as communities of practice and knowledge management.


References:
http://www.blog.klpnow.com/2008/03/references_knowledge_creation.html


- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com

March 26, 2008

Part 3: Knowledge Creation through Informal Learning and Communities of Practice

Applied Research

Where theoretical works help to define concepts and models, applied research aids in identifying what problems the theory can solve.

Informal Learning and Knowledge Management

Marsick & Watkins.
Beginning with their earliest work, Marsick & Watkins (1990) saw informal learning as a way to access tacit knowledge of which Nonaka & Takeuchi discuss in their knowledge creation model. Marsick & Watkins continued to make this connection in subsequent research, showing how informal learning can help a learning organization tap into its knowledge potential through the use of CoPs, knowledge repositories, goal-based scenarios, and groupware (Marsick & Watkins, 1999; Marsick, 2006).

Eraut.
Eraut strengthened the link between informal learning and tacit knowledge, and identified “several different types of situation[s] in which tacit knowledge may be either acquired or used or simultaneously both acquired and used” (2000, p. 28). Like Marsick (2006), Eraut cited Nonaka & Takeuchi’s (1995) knowledge creation spiral model. In particular, Eraut argued that socialization—the first phase of Nonaka & Takeuchi’s model—is an integral part of the knowledge creation that occurs via informal learning (Eraut, 2000; Eraut et al., 2002). Eraut also defined four practical reasons why an organization would want to make tacit knowledge explicit:
- to improve the quality of a person’s or a team’s performance
- to help to communicate knowledge to another person
- to keep your actions under critical control by linking aspects of performance with more and less desirable outcomes
- to construct artifacts that can assist decision making or reasoning (2000, p. 28)

Eraut (2004) defined work activities that lead to learning via informal learning environments, and emphasized the importance of relationships, social context, and management support and facilitation for successful informal learning in the workplace. In his 2004 research article, Eraut also addressed the role and limitations of tacit knowledge in informal learning. He argues that “tacit knowledge does not arise only from the implicit acquisition of knowledge but also from the implicit processing of knowledge” (Eraut, 2004, p. 253). He also cautions that “tacit knowledge is personal knowledge that may be used uncritically because people either believe it works well for them or lack the time and/or disposition to search for anything better” (Eraut, 2004, p. 253).

Communities of Practice and Knowledge Management

Snyder (1997) referred to the role of early CoP case studies completed by Brown & Gray, Cook & Yanow, Orr, Snyder, and Wenger in demonstrating “that learning occurs most effectively within communities that have developed trust, shared understanding of problems, and a language to communicate new and old solutions” (p. 9). Ever since, CoPs have been identified as an effective knowledge management application in numerous case studies, providing useful examples and best practices for how to design and foster CoPs in organizations. For example, DaimlerChrysler found CoPs “to be an efficient means to achieve business process improvement and manage complexity” by improving the flow and sharing of knowledge throughout the organization (Kannan, Aulbur, & Haas, 2005, p. 138). And New Zealand has used predominantly virtual CoPs as an effective means of encouraging “inter-organizational knowledge networking on a national scale” (Rao, 2005, p. 206; Spence, 2005).

In additional applied research, Choi (2006) examined the potential of CoPs as an alternative learning model for knowledge creation and performance training in corporations; Choi also acknowledged CoPs as a key engine for creating and sharing both tacit and explicit knowledge. Choi (2006) also identified factors that facilitate or encourage CoP activity including “learning motivation and desire for learning, creation of work-related knowledge and sharing of expertise in CoP participation, …trust among members, and the leadership trait of the team leader” (p. 144-145). Later in 2006, Zboralski et al. developed a measurement model to evaluate the CoP constructs of information exchange, networking, network position, knowledge effect, business performance effect, and socialization. Importantly, Zboralski et al. (2006) demonstrated “that CoPs have a close connection and positive direct impact on business performance” (p. 547) by quantitatively proving CoP members with a strong network position due to their involvement in a CoP have a positive effect on the knowledge base, the business performance, and the socialization between staff.

Next:

We'll complete a critical analysis of the literature on informal learning and communities of practice.


References:
http://www.blog.klpnow.com/2008/03/references_knowledge_creation.html


- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com

March 27, 2008

Part 4: Knowledge Creation through Informal Learning and Communities of Practice

Critical Analysis

Turning to a critical analysis of the theoretical works and applied research, there have been varied contributions to the body of knowledge.

Informal Learning Literature

Marsick and her colleagues have been prolific contributors on the subjects of informal learning, workplace learning, and learning organizations. Their contributions have been well-informed and grounded in the research that came before them, and they have encouraged further research by other scholars (e.g., Wallace & Colbert). Their communication style is clear and complete, displaying scholarly rigor as well as helpful implication considerations for practitioners. For Marsick and colleagues’ research to be even more compelling, it would be helpful to incorporate quantitative research methods in addition to the qualitative research studies they have been performed. Many organizations look to quantitative studies to prove results; this is a challenge that confronts not only Marsick and colleagues, but all those who study learning and knowledge. Marsick, Watkins, Callahan, & Volpe (2006) themselves acknowledge this limitation in the current research and recommend cross-company and industry studies, “research aimed at learning what works to enhance this type of learning,” as well as research to examine “the impact of new distributed working arrangements (including telecommuting, outsourcing, and use of contingency workers) on informal and incidental learning in workplaces” (p. 799).

Communities of Practice Literature

Turning to a critical analysis of the theoretical works and applied research on CoPs, let us focus on Wenger’s contributions from the theoretical perspective and Zboralski et al.’s contributions from an applied research perspective.

Wenger.
Some strong points of Wenger’s work include his solid work to conceptualize CoPs and emphasize the need for them to be very flexible, organic, and evolving in nature. In addition, his writing is approachable and appealing to readers, with many statements possessing good face validity, e.g., “intuitively, everybody knows what knowledge is. When you have it, you are likely to understand situations and do the right thing; when you don’t, you are in trouble” (Wenger, 2004, p. 1). However, his published work (including the materials cited in this paper) focuses more on the practitioner than the scholar; thus Wenger’s materials are sometimes lacking in scholarly rigor. For example, much of his published work is targeted to practitioners and most of his articles and materials were not published in peer-reviewed journals. Despite this, Wenger’s material has become the seminal work on CoPs.

Wenger’s 2004 article was particularly disappointing. While the “doughnut” analogy for his model may make it feel more accessible to practitioners, he may be doing a disservice to the discipline of knowledge management—made all the worse by the fact that he begins the article stating that the field has had to deal with numerous skeptics and detractors. But then he goes on to state, “I will argue that when it comes to knowledge, management is a doughnut…and noting that the center of the doughnut is empty, I will argue that knowledge management is primarily the business of those who actually make the dough—the practitioners” (Wenger, 2004, p. 1). Again, perhaps this is an approachable analogy, but the light-heartedness of its description may make the reader question if knowledge management is a respectable discipline. Then in looking more closely at the writing of this article, the model is not directly linked to the structure of the paper. Ensuring the article’s structure directly followed the model (e.g., with consistent terminology and labeling of sub-sections) and illustrating all the concepts on the model would have greatly improved the quality and coherence of Wenger’s article and model.

Zboralski et al.
In contrast, Zboralski et al.’s (2006) article was particularly impressive for not only its contribution to quantitatively proving a relationship between CoPs and organizational performance, but also in its thorough scholarly approach. The article begins with a thorough literature review, establishing a strong relation between Zboralski et al.’s research and the existing body of knowledge. However, like most research projects in the social sciences, there were some weaker areas. For example, Zboralski et al.’s sampling is somewhat problematic. Within the selected multinational company, there were 220 CoPs that met the researchers’ criteria; yet over a four month timeframe they were only able to get questionnaire responses representing 36 of those CoPs. The researchers claimed that their coverage of “about 31% of all active community members…can be considered a valid representation of the overall population” (Zboralski et al., 2006, p. 542). However, it is not entirely clear by what objective criteria this claim can be made. The questionnaire for their measurement model was pre-tested, resulting in revisions prior to releasing the questionnaire to the sample population. However, the authors did acknowledge that a common method bias could not be ruled out. In addition, the study is somewhat limited in that it was based on one German multinational company with an extensive number of CoPs, and the measures were based on the CoP members’ perception of the CoPs’ effects on organizational performance. Overall, Zboralski et al.’s conclusions were justified by the results; however, they could be strengthened further by replicating the research with other companies plus comparing the results to the perceptions of non-members of CoPs or to objective performance measures that could not be influenced by the participants’ perception.

Next:

We'll discuss the implications of the research on informal learning, communitiies of practice, organizational learning, and knowledge management and how it can be applied.


References:
http://www.blog.klpnow.com/2008/03/references_knowledge_creation.html


- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com

March 28, 2008

Part 5: Knowledge Creation through Informal Learning and Communities of Practice

Discussion

Informal Learning and Communities of Practice

Despite many organizations’ tendency to focus on formalized training, informal learning should not be overlooked for it represents a significant opportunity to create new knowledge. With the knowledge creation and sharing activities that can occur through informal learning channels, this results in significant untapped potential for taking knowledge from an individual level to a work group and even organizational level. By applying the discipline of knowledge management to informal learning, new learnings can be captured, shared, and applied. Thus through Nonaka and Takeuchi’s concept of socialization, informal learning can become a viable gateway to accessing tacit knowledge—and converting it into something that can benefit entire work groups and organizations.

At the same time, CoPs have long been considered an effective application method for sharing and creating individual and organizational knowledge. Recently, researchers are seeing the synergies between informal learning and CoPs. Marsick (2006) argues that “the emerging field of knowledge creation and management provides a framework for understanding how informal learning might be enhanced without divorcing the phenomenon of learning from the work itself” (p. 57)—and CoPs can be an effective tool for making that happen. Marsick et al. (2006) further argue that “three areas that seem particularly important for understanding informal and incidental learning in today’s workplace are tacit/implicit knowing, whole person learning, and communities of practice” (p. 796). De Laat (2006) also links informal learning, knowledge conversion, and CoPs as follows:

Communities not only provide an open learning space where they develop their knowledge domain and practice. It is also a place where community knowledge is kept alive and learning is situated in the activities, context, and culture of the community. (p. 8)

Maki-Komsi, Poyry, & Ropo (2005) argue that participation in CoPs provides the “fabric of learning” for dispersed communities of workers (p. 38). Further, they caution that in order to create knowledge it is critical for communities to “collaboratively pose questions, and intentionally seek for alternative solutions in order to create new knowledge and expand the community’s capabilities” (Maki-Komsi et al., 2005, p. 38).

Organizational Learning and Knowledge Management

In the past decade, more and more researchers and practitioners have begun to acknowledge the potential synergies and interrelationships between knowledge and learning. This is particularly evident in the convergence of the concepts of the learning organization (LO) and knowledge management (KM). Senge (1990/2006) first introduced the concept of the learning organization as a set of core learning capabilities that enable an organization to innovate (i.e., to create new knowledge) and create sustainable advantage. In 1999, Senge shared that he saw KM addressing “the same critical issues [that the Society of Organizational Learning] members have been struggling with—the sustainable creation, transfer, and dissipation of organizational knowledge” (Karlenzig as cited in McElroy, 2003). In studying the areas of organizational forgetting, organizational memory, and how knowledge transfer is a key to creating organizational learning, Argote (1999/2005) posits that “patterns of knowledge creation, retention, and transfer contribute to differences in the rates at which organizations learn” (p. 203). Loermans (2002) defines the relationship between KM and LO by stating that the LO focuses on the learning process and generating new knowledge while KM “takes the output from the LO, manages it and ensures that an appropriate environment to perpetuate the generation and management of knowledge capital is being properly maintained” (p. 292). Loermans (2002) also cites the research of Brown and Woodland, Wikstrom and Norman, and Allee, observing that organizational learning claims “that learning is the process of acquiring knowledge” while KM claims “that each aspect of knowledge has a corresponding learning activity that supports it” (p. 290). McElroy (2003) argues that “second-generation KM [is] a management discipline that focuses on enhancing organizational learning…[and that] KM is an implementation strategy for organizational learning” (p. 19). Mason (2005) also argues that “learning and knowledge have a symbiotic relationship; they depend upon each other” (p. 321).

Implications for Practitioners

So what are the implications of this convergence of the theoretical concepts of informal learning, CoPs, organization learning, and knowledge management for practitioners? Loermans (2002) recommends that “a corporate architecture [be created] to facilitate learning at the organization level and to create knowledge sharing and dissemination mechanisms across the organization” (p. 290). Maki-Komsi et al. (2005) recommend the use of CoPs for geographically dispersed workforces:

Communities of practice, even virtual ones, support the individual professionals in their work by providing not only information and knowledge but also support and a feeling of community with remote peers. Informal learning and information exchange occurs within these communities, and they form a structure supporting everyday work. (p. 52)

Mason (2005) recommends considering the use of e-learning as important “knowledge scaffolding” and that “much of the infrastructure development that supports e-learning [is] convergent with systems developed to support knowledge management” (p. 321) —for example, enterprise knowledge portals and Learning Content Management Systems (LCMS). Furthermore, while “content may have been king at the peak of the dot-com boom, [we now know] that context will always shape its usage” (Mason, 2005, p. 322)—and learning is where context and meaning are formed. In addition, any knowledge and learning initiative must be “designed with...[an] understanding of [how to] sustain online culture...[and an] appreciation that “e” [in e-learning] also stands for engagement” (Mason, 2005, p. 322). Thus people, cultural, and infrastructure considerations must always come first for the success of any knowledge and learning initiative. Additionally, practitioners should consider this final piece of advice from Loermans (2002):

If the discipline of KM operates in such a way as to improve an organization’s learning capability, it therefore improves the capacity for the organization to generate new knowledge and thus systematically expand the knowledge base of the organization. For this cycle to operate effectively, organizational learning and knowledge generation need to be fully integrated into every mission critical business process that the organization is involved in. This is more a cultural than a technological challenge. (p. 292) [Therefore], organizations should focus on the total inter-organization learning process (i.e., the creation of new corporate knowledge from the total environment within which the organization operates) and the nurturing of the cultural environment that supports it and ensures its continuing development. (p. 293)


References:
http://www.blog.klpnow.com/2008/03/references_knowledge_creation.html


- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com

April 15, 2008

Continuing Professional Education (CPE) and Assessing Professionals’ Learning Needs

Continuing Professional Education

Queeney (2000) defines continuing professional education (CPE) as “the education of professional practitioners…[that] extends their learning…throughout their careers” (p. 375). Given the increased demand for accountability in today’s workplace, the goal of CPE is to help ensure an established level of professional competence. It also encourages the transfer of learning back to the job. With its focus on practitioners, CPE is very similar to the concept of worklong learning via a human capital paradigm—thus aiding professionals to build their storehouse of skills and knowledge in preparation for contributions to generating tangible goods and traditional forms of capital.

To meet the challenges of providing continuing professional education, Queeney introduces a number of strategies that professional educators need to apply. These include: “Building Effective Partnerships, Assessing Professionals’ Educational Needs, Designing and Delivering Practice-Oriented CPE, Performance-Based Program Evaluation, Inter-Professional CPE, …[and utilizing] Distance Education” (Queeney, 2000, p. 380-388). Since a definition of learner needs is an important underlying component of effective continuing professional education, let us examine the subject of needs assessment both in theory and practice.

Needs Assessment Theory

Needs assessment for professional education most typically includes components of performance analysis, task analysis, goal analysis, and audience analysis. With audience analysis in particular you can identify what motivates the learners and thus devise ways to tap into their internal and external motivators per the primary assumptions of Knowles’ andragogical model (Knowles, Holton, & Swanson, 2005). In practice, needs analysis can range from full curriculum needs assessments to course needs assessments. Rossett (1987) defines training needs assessment as “the systematic study of a problem or innovation, incorporating data and opinions from varied sources, in order to make effective decisions or recommendations about what should happen next” (p. 3). Techniques for needs analysis include review of existing materials, questionnaires, interviews, and focus groups. Additionally, one of the most critical things to remember about analyzing learning needs is to not blindly accept someone’s proclamation of a performance problem. As Queeney cautions, “all too often programming decisions are made not on the basis of needs assessment” (p. 381). Mager & Pipe (1970) also warn, “What people identify as ‘the problem’ often isn’t the problem at all. It is merely a symptom of the problem” (p. 2). Additionally, do not jump to the conclusion that training is the correct solution. The performance problem may not be a skill deficiency that can be solved via training, but rather something in the environment that either is an obstacle to performance or even rewards non-performance (Mager & Pipe, 1970).

Needs Assessment in Practice

As both Rossett and Queeney describe, needs assessment can take many forms from the simple to more complex. Based on my experience as a workplace learning and performance professional, I have seen and conducted needs assessment at all points along this continuum. When conducting needs analysis for an individual program, simpler forms of needs assessment typically are adequate. For example, focus groups and discussions with content experts, the target audience, and their supervisors can help to define where the performance gaps lie and thus help inform the most appropriate design for the learning solution. More extensive needs assessments are appropriate for large-scale learning initiatives where entire curriculums are being evaluated. For example, when a company institutes a new competency model, the curriculum needs to be realigned to the competencies and gaps analyzed to identify learning needs. Additionally, if the learning function within an organization is seeking to realign itself as a corporate university or to aid the shift in the organization becoming a learning organization, that is often another situation for which a more extensive needs assessment would be appropriate. In these cases, the needs assessment will often involve a combination of techniques including surveys (with multiple versions for each audience and their immediate supervisors), interviews, and focus groups.

Queeney’s (2000) argument on “the increasingly entrepreneurial demands of [the professional educators’] organizations and institutions [that force] them to adopt cost-effective strategies for designing, developing, and delivering CPE” (p. 380) is very true. With all needs assessments, the challenge often involves getting buy-in for the time and expense of conducting the assessment. Thus, the professional educator needs to be well-adept at justifying the effort—including being able to articulate the potential risks and costs of not completing the assessment. Additionally, they need to be creative in determining a low cost approach that still results in valid information upon which to base their design and development decisions. Resistance can also be dealt with by not referring to the up-front analysis tasks as a “needs assessment,” but rather to incorporate the needs assessment analysis tasks into the content gathering and design work that accompanies the beginning of learning initiatives. For course-level analysis, that is often the best and most creative work-around to ensure the needs assessment is completed.

References

Knowles, M. S., Holton, E. F., & Swanson, R. A. (2005). The adult learner (6th ed.). Burlington, MA: Elsevier Butterworth-Heinemann. (Original work published 1973)

Mager, R. & Pipe, P. (1970). Analyzing performance problems. Belmont, CA: Fearon Pitman Publishers.

Queeney, D. S. (2000). Continuing professional education. In Wilson, A. L., & Hayes, E. R. (Eds.), Handbook of adult and continuing education (pp. 375-391). San Francisco: Jossey-Bass.

Rossett, A. (1987). Training needs assessment. Englewood Cliffs, NJ: Educational Technology Publications.

- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com

April 20, 2008

Human Resource Development Themes

Kerka (2001) introduces seven themes related to human resource development: work force diversity, cross-cultural issues, the learning organization, technology in work and learning, increasing numbers of older workers, informal learning, and spirituality in the workplace. In reflecting on the work that my company does for its clients, these themes would be ranked in the following order of relevance (from most to least):

1. The learning organization
2. Technology in work and learning
3. Informal learning
4. Increasing number of older workers
5. Work force diversity
6. Cross-cultural issues
7. Spirituality in the workplace

Senge (1990/2006) first introduced the concept of the learning organization as a set of core learning capabilities that enable an organization to innovate and create sustainable advantage. These principles of the learning organization underline much of the work we do, helping organizations and their employees to improve their knowledge, skills, and abilities. This often includes many components beyond just training events; it often includes cultural elements, change management, communication, leadership development, rewards and recognition, coaching, and more. The learning organization is also the concept around which we are seeing a growing synergy between learning and knowledge management. When focused on improving the performance of organizations and their employees, many of the techniques used by both disciplines overlap and they certainly share much in common related to their desired end goals. In 1999, Senge himself shared that he saw KM addressing “the same critical issues [that the Society of Organizational Learning] members have been struggling with—the sustainable creation, transfer, and dissipation of organizational knowledge” (Karlenzig as cited in McElroy, 2003).

Technology is becoming an increasingly critical delivery vehicle for learning as well as knowledge sharing. Over the last 15 years, our company has seen a shift from only the largest organizations implementing technology-enabled learning solutions (or eLearning) to now seeing that nearly all learning projects involve some form of a blended learning approach. Technology is also being used as an important tool during the design and development of learning programs via the use of Wikis, web conferencing, Instant Messaging, and team Web sites to help manage the workflow of often geographically dispersed project teams.

Informal learning would be the third most relevant theme in the work we do, especially as we shift to recommending more holistic solutions to address organization’s learning and performance improvement needs. Informal learning is often defined as the individually driven lifelong learning that occurs outside training or a classroom. By equipping individuals with the skills needed to be self-directed learners, informal learning represents significant potential in helping individuals improve their skills and knowledge. With a workforce skilled in self-directed learning and the creation of an environment conducive to knowledge sharing and innovation, informal learning can act as an important conduit for taking knowledge from an individual level to a work group and even organizational level. In practice, by applying the discipline of knowledge management to informal learning, new learnings can be captured, shared, and applied. Thus through Nonaka & Takeuchi’s (1995) concept of socialization, informal learning can become a viable gateway to accessing tacit knowledge—and converting it into something that can benefit entire work groups and organizations.

The next three themes—increasing number of older workers, work force diversity, and cross-cultural issues—do arise periodically as specific need for clients. Many workforces are challenged with generational conflicts as older workers remain in the workforce longer. Work force diversity and cross-cultural issues can also arise in the form of gender, race, geographic, or cultural differences. Often the solution lies in ensuring that learning programs incorporate the perspectives representative of that organization’s workforce. Additionally, if there are existing issues across these groups, we recommend that action be taken to improve employees’ understanding and appreciation of differences (paired with policies to enforce non-discriminatory behavior).

Lastly, spirituality in the workplace is not something my company has dealt with; but I do have colleagues who are doing work in this area, often paired with executive or other one-on-one coaching efforts.


References:


Kerka, S. (2001). Human Resource Development. Trends and Issues Alert, No. 25, Retrieved March 28, 2008, from https://www.cete.org/acve/docs/tia00093.pdf

McElroy, M. (2003). The new knowledge management. Burlington, MA: Butterworht-Heinemann.

Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company: How Japanese companies create the dynamics of innovation. New York: Oxford University Press.

Senge, P. M. (1990/2006). The fifth discipline: The art and practice of the learning organization. New York: Doubleday.


- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com

April 29, 2008

Learning’s Role in Organizational Performance Improvement at Pal’s Sudden Service

Lifelong learning, training and development, and corporate education all make claims that they contribute to both individual and organizational performance improvements. Using the structure of the Malcolm Baldridge National Quality Award, this paper explores how learning has indeed contributed to organizational performance excellence for one Baldridge award winner: Pal’s Sudden Service.

Pal’s Sudden Service

Pal’s Sudden Service is a quick service restaurant serving “primarily drive-through customers at 17 locations, all within 60 miles of Kingsport, Tenn., where its first restaurant opened in 1956” (National Institute of Standards and Technology, 2002, p. 1). Pal’s employs “465 people, 95 percent of whom are in direct production and service roles” (p. 1). In 2001, they became the first restaurant to receive a Malcolm Baldridge Quality Award. Pal’s continues to be the only restaurant to have ever won the Baldridge award, and they also are the proud recipients of two Tennessee Excellence Awards in 2001 and 2007 (Pal's Sudden Service, n.d.).

Organizational Performance Improvement

The Role of HRD in Improving Organizational Performance

In looking at learning’s role in organizational performance improvement, what have researchers found? The field of Human Resource Development (HRD) provides some insights. Swanson & Arnold (1996) define HRD as “a process of developing or unleashing human expertise through organization development and personnel training and development for the purpose of improving performance” (p. 16). They further argue, “when practiced in productive organizations, [HRD] should strive to contribute directly to the organization’s goals” (p. 16). Furthermore, Swanson & Arnold remind us that it is important to remember, “HRD is broader than training or adult education. There are HRD interventions that involve much more than training, and some (however rare) that might involve no training at all” (p. 16). What is needed is for HRD “to focus on systems and processes that ensure that individuals in the organization have the knowledge, expertise, and attitudes to produce quality” and deliver on the organization’s goals (p. 15).

At the same time, performance improvement for the sake of meeting organization goals should not be the only focus for HRD. Bierema (2000) argues that there is “value in striking a balance between organizational and individual goals… [and that] human values must be the starting point when considering workplace learning” (p. 279). Bierema further cautions us not to lose the human in Human Resource Development for the sake of improved organizational performance (and profits).

Baldridge Organizational Performance Excellence Goals

The performance excellence goals and criteria for the Malcolm Baldridge Quality Award offer a formalized program that defines, measures, and rewards organizations who exemplify the principles of an organization that is actively taking steps—and reaping the results of—being a high-performing organization. Three Baldridge criteria areas are particularly relevant to the subject of learning’s contribution to organizational performance: workforce engagement, workforce environment, and workforce-focused outcomes. Workforce engagement and workforce environment fall under the category of workforce focus; this category “addresses key workforce practices—those directed toward creating and maintaining a high-performance workplace and toward engaging your workforce to enable it and your organization to adapt to change and succeed” (Baldridge National Quality Program, 2008, p. 41). Within the category of workforce engagement are the aspects of a positive/supportive work environment, compensation and recognition linked to organizational goals (i.e., reward for performance), workforce satisfaction measurement, plus training and learning opportunities and systems. Additionally, workforce environment includes different methods for supporting the workforce such as learning and training development opportunities that are not strictly focused on employees’ job responsibilities. As Bierema (2000) recommends, this is how the more humanistic goals of lifelong learning and providing opportunities for individual improvement that do not focus strictly on job-related skills can be addressed.

The third Baldridge criterion relevant to the subject of learning’s contribution to organizational performance is the results category of workforce-focused outcomes. This set of criteria provides objective evaluation of the organization’s results and how those results support the achievement of the organization’s overall strategy. Per the Baldridge National Quality Program (2008), these criteria measure the effectiveness and outcomes of key indicators of workforce engagement and satisfaction (e.g., increased retention or promotions) and can also “include generic or organization-specific factors…you assess for determining your workforce engagement and climate,” e.g., turnover, satisfaction, and training opportunities (including retraining and cross training) (p. 46-47).

Learning’s Contributions to Organizational Performance Improvement at Pal’s

Pal’s aim is that to learning be pervasive throughout the organization, whereby training and development has been designed to “support improvement in operational and business performance” (National Institute of Standards and Technology, 2002, p. 2). “Employees at Pal’s are challenged to produce excellence in [their] operations…; to exhibit positive energy, well-being, and self-control; to make the right decision at the right time; and to be dedicated to continuous learning, development and growth” (Pal's Sudden Service, 2001, p. 20). Moreover, “organizational learning, employee development, and continually improving results are basic characteristics of the Pal’s culture” (p. 5).

Pal’s Approach to Training and Development

In staffing their human resource (HR) functions, Pal’s does not have professional HR staff. Instead, they rely upon clearly stated policies that operations staff and management use for all hiring, compensation, training, etc. decisions. This operations-drive approach also extends to who delivers their training. Pal’s does not rely on training instructors, but rather uses only operations personnel to lead their classroom training sessions. Senior leaders are involved in teaching classes and attending training sessions, which are considered by the organization to be an opportunity to “personally drive the Business Excellence Process” (Pal's Sudden Service, 2001, p. 8). Additionally, “owner/operators and assistant managers have primary responsibility for staff training” (National Institute of Standards and Technology, 2002, p. 3).
In the design and development of training, the leadership team annually assesses the organization’s training needs. This has resulted in the creation of a variety of training modules designed to meet Pal’s business needs. Following “a four-step model [of] show, do it, evaluate, and perform again,” Pal’s uses a combination of self-teach and classroom training modules (National Institute of Standards and Technology, 2002, p. 3). In stores, they utilize on-the-job training, “computer-based training, flash cards, and one-on-one coaching” (p. 3). In addition, much like other leading quick-service restaurants:

Visual standardization is a critical element of Pal's training and development program. We thoroughly train/coach our employees on our precise work procedures and process standards. This training focuses on developing a visual reference to verify product quality and usability. Operational procedures, service standards, and in-process control measures for all core processes, each product, and support services are carefully designed and documented in the Pal’s Operations Manual. (Pal's Sudden Service, 2001, p. 26)

Workforce Engagement

When looking at the criteria of workforce engagement, the Baldridge criteria (2008) asks the question, “How do you engage your workforce to achieve organizational and personal success?” (p. 42). Pal’s utilizes a number of techniques and programs to ensure a positive and supportive work environment, compensation and recognition linked to organizational goals, measurement of workforce satisfaction, plus ample training and learning opportunities. For example, “individual training and personal development plans are established for all employees at all levels to ensure that knowledge and skills required for defined responsibilities at each position are acquired” (Pal's Sudden Service, 2001, p. 22). Considered an important part of their Communication/Feedback process, organizational learning is a key tool for “quick deployment/sharing of the information/learning throughout Pal’s operations in all stores” (p. 8). This Communication/Feedback process is designed to take the output of the process’s inputs, analysis, and rapid prototyping, and share them across the stores. This process is also credited with encouraging “organizational agility and organizational and employee learning” (p. 8). In fact, Pal’s Communication/Feedback process “often produces rapid learning and decision-making that is shared company wide within the same day (or same hour)” (p. 20).

Feedback, coaching, and mentoring also play an important role in Pal’s workforce engagement. “Through training and coaching, [they] instill in [their] staff a positive, helpful, can-do focus on [their] customers, which also contributes to building good customer relationships” (Pal's Sudden Service, 2001, p. 14). “Feedback and coaching are provided by store owner/operators and assistant managers as appropriate to build customer service skills” (p. 14), thereby making “feedback, coaching, and reinforcement of applied knowledge and skills…natural parts of [Pal’s] work execution” (p. 22). Mentoring from owner/operators working directly with employees in the operations areas, “coupled with the developmental aspects of peer reviews and [Pal’s] training processes, effectively supports employees in developing and utilizing their full potential” (p. 21).

An intriguing reward and recognition program used by Pal’s is their “Caught Doing Good” (CDG) program. CDG has been designed to “provide an abundance of immediate, public, non-monetary recognition for staff contributions in support of employee development, customer satisfaction, continual improvement, and organizational learning” (Pal's Sudden Service, 2001, p. 21). To ensure the link between individual performance and organizational goals, “a special effort is made in CDG to identify behaviors that are consistent with [their] training programs and that are clearly linked to desired performance results” (p. 23).

Workforce Environment

When looking at the criteria of workforce environment, the Baldridge criteria (2008) asks the question, “How do you build an effective and supportive workforce environment?” (p. 43). In response, Pal’s utilizes a number of techniques and programs to support the workforce including learning and training development opportunities that are not strictly focused on job responsibilities. For example, Pal’s learning opportunities cover not only the skills needed to support operations, but also listening, health and safety, and organizational culture. For safety training, they have “adopted the National Restaurant Association’s ServSafe training and certification, an industry best practice for food safety education” (Pal's Sudden Service, 2001, p. 9). Additionally:

Pal’s frontline staff training program includes intense instruction on effective listening skills. These skills are not only critical for high performance on the food preparation line…but are also beneficial for gathering valuable customer information about needs, expectations, and satisfaction.” (p. 13)

Pal’s also strives to prepare their employees not only for their job at Pal’s, but beyond. They acknowledge, “Most of our employees’ ultimate careers are with other companies. Therefore, we strive to provide skills, knowledge, a principle-based mindset, and work habits required for producing excellence and practicing life-long learning” (Pal's Sudden Service, 2001, p. 21). Pal’s also extends its contributions to their communities believing that “a major responsibility to our local communities is the shaping of our employees into positive citizens. By helping our people grow, develop, and become better citizens, Pal’s helps make our business more successful while also making our communities a better place to live and work” (p. 10). This echoes Bierema’s recommendation that HRD needs to expand beyond just “performativity” and help contribute to social and political change.

Workforce-Focused Outcomes

As Swanson & Arnold (1996) argue, “performance takes place and can be measured at the organizational, process, and individual levels” (p. 15). When looking at the criteria of workforce environment, the Baldridge criteria (2008) asks the question, “What are your workforce-focused performance results?” (p. 46). To answer this question, Baldridge recommends measuring the effectiveness and outcomes of common indicators of workforce engagement and satisfaction (e.g., increased retention, promotions, turnover, satisfaction, and training opportunities (including retraining and cross training)).

Pal’s requires cross training “of all store-level staff to ensure their complete understanding of all production and service procedures as well as quality standards” (National Institute of Standards and Technology, 2002, p. 3). Specifically, cross-training is used so that “staff members have a complete understanding of all production and service procedures and quality standards to allow smooth transition from work station to work station and cooperative, flexible responses to volume cycles and unplanned reassignments” (Pal's Sudden Service, 2001, p. 20).

Pal’s measures their organizational performance with their SysDine management information system, which is also used to analyze operations for a company-wide balanced scorecard. Some important workforce indicators of Pal’s success include the following:
1. “Pal’s leads the industry in low staff turnover. The industry annual average in our market is over 300 percent while Pal’s turnover rate for 2000 was 127 percent” (Pal's Sudden Service, 2001, p. 24).
2. Pal’s “group of store operators and senior leaders has lost only three individuals in the last twenty years, which gives [them] a major advantage in leadership continuity over [their] competitors” (p. 31).
3. Employee satisfaction surveys reveal steady improvement in the period from 1995-2001 with all categories (communication, training, motivation, excitement, harmony, and management’s ability) rated a 4.12 or higher on a 5-point scale (p. 31).

Operationally, Pal’s has also seen the following performance improvements resulting from their learning programs:
1. Staff productivity and sales per labor hour have been on an “improving productivity trend [reflecting] the effectiveness of [their] selection, hiring, training, and work designs” (p. 31).
2. “Over the past several years both the timeliness and satisfaction of complaint handling have been improved through training and by empowering the staff to instantly resolve complaints” (p. 15).
3. “On-the-job injury/accident claims [at Pal’s] have declined seventy-five percent since 1992” (p. 23).

Looking to the future and continuing to ensure sustained results, Pal’s also utilizes benchmarking to “determine best-of-class practices and performance and to set stretch goals to reach and exceed best-of-class performance levels” (Pal's Sudden Service, 2001, p. 17). “After [they] have analyzed and learned as much as possible from [their] benchmarking partner’s processes and performance data, [Pal’s uses their] Plan-Do-Study-Act (PDSA) piloting and continual improvement approach to incorporate any learning [they] gain into [their] own processes to produce equal or better results” (p. 17).

Conclusion

Through a focus on workforce engagement and environment, Pal’s has experienced significant positive and measurable workforce-focused performance results. The quick-service channel in particular faces many challenges—a dwindling labor pool, increased cost of raw products, pressures from customers to provide variety and keep prices low, and an increasingly health-conscious public. Despite this, Pal’s has been able to create a workplace that has the lowest turnover in the industry (for both their front-line and management employees) and some of the best results on key operational measures such as sales per labor hour, order accuracy, and time spent in drive-through.



References

Baldridge National Quality Program. (2008). Criteria for Performance Excellence Retrieved April 11, 2008, from http://www.quality.nist.gov/PDF_files/ 2008_Business_Nonprofit_Criteria.pdf

Bierema, L. (2000). Moving beyond performance paradigms in human resource development. In A. L. Wilson & E. R. Hayes (Eds.), Handbook of adult and continuing education (pp. 278-293). San Francisco: Jossey-Bass.

National Institute of Standards and Technology. (2002). Pal's Sudden Service. In Baldridge Award Recipient Profile. Retrieved April 11, 2008 from http://www.nist.gov/ public_affairs/pals.htm

Pal's Sudden Service. (2001). 2001 Malcolm Baldridge National Quality Award Application Summary Retrieved April 11, 2008, from http://www.quality.nist.gov/PDF_files/ Pals_Application_Summary.pdf

Pal's Sudden Service. (n.d.). Pal's News. Retrieved April 16, 2008 from http://www.palsweb.com/news.htm

Swanson, R. A., & Arnold, D. E. (1996). The purpose of human resource development is to improve organizational performance. New Directions for Adult and Continuing Education,(72), 13-19.

- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com

May 7, 2008

Individual Employee Development

In workplace learning and performance improvement, determining the strategy and direction for individual employee development is a critical task. Ideally, the process begins before the employee enters the workplace—with the development of a competency-based development structure—and extends throughout their tenure with that organization. Once within an organization, individual development should include components designed to aid in acculturation, to enhance self-awareness and lay the groundwork for further learning, and to maximize both formal and informal learning methods to facilitate both informational and transformative learning.

Competency-Based Development Structure

Beginning in the 1990s, many organizations learned that to compete in a global marketplace, it was critical to capitalize on the core competencies that differentiate the services and products they offer (Prahald & Hamel, 1990). Based my observations as a workplace learning and performance improvement professional, the predominant approach has been to define leadership competencies that are common for all positions in the organization and then to define functional competencies specific to particular job clusters. This approach helps to not only ensure consistency in the organizational culture, but also ensures that “individuals… efforts are not so narrowly focused that they cannot recognize the opportunities for blending their functional expertise with those of others in new and interesting ways” (Prahald & Hamel, 1990, p. 5). As such, the beginning of any employee development plan should begin with the definition of core leadership and functional competencies. These competencies can then be used as criteria for recruiting, whether external hires or internal transfers and promotions. Competencies can be used to help identify the learning and knowledge needs of both incumbents and new employees. Competencies should also be used as criteria for performance assessments and each employee’s development planning.

Acculturation and Self-Awareness

Once hired, new employees need to be acculturated to the organization. Klein & Weaver’s (2000) research “revealed that employees attending…orientation training were significantly more socialized on 3 of the 6 socialization content dimensions (goals/values, history, and people) than employees who did not attend the training. Employees attending the orientation training also had significantly higher levels of affective organizational commitment than nonattendees” (Abstract). Additionally, new employee orientation has been shown to have a positive impact on employee retention, with employees “69% more likely to remain with the company after three years if they completed a full orientation program” (as cited in Sims, 2002, p. 6). This is an important argument for conducting new employee orientation when considering the thousands spent on recruiting and hiring a new employee, as well as the cost to the organization of recruiting and training new employees if turnover is high.

New hire orientation can be an important opportunity not only for acculturation, but also to lay the groundwork for future work and learning during employment with that organization. For example, learning and personality instruments such as the Strengths Finder and Myers-Briggs Type Indicator (Buckingham & Clifton, 2001; Kroeger & Thuesen, 1992; Lawrence, 1979/1982) can be effective tools to enhance self-awareness and thus improve team and learning results (Lankard, 1996). Experience has shown how having the work force complete the same instrument creates a common language and understanding that employees can use when resolving conflicts, deciding how best to approach others with ideas, and ensuring balanced team composition so that multiple perspectives and abilities are represented.

Formal Learning

With core leadership and functional competencies defined and employees acculturated and self-aware, it is time for on-the-job work experience and workplace learning to play their role. Curriculums should be designed to support the organization’s competency model, and employees need to have different development opportunities available for them should they find themselves deficient in a particular competency area. Deficiencies may be identified through self-assessment or assessment of the employees’ work (Lankard, 1996).

Formal learning programs need to be designed with respect to Knowles’ concepts of andragogy, in particular addressing learners’ need to know the rationale/why of what they are learning, supporting the self-concept of the learner, and providing opportunities for learners to share their prior experiences and relate new learning to current challenges (Knowles, Holton, & Swanson, 1973/2005). To ensure workplace learning is transformational as well as informational, it is critical to incorporate action learning, hands-on experience, feedback, and reflection (Burton, 2006; Imel, 1998; Pedler, 1983/1987). Incorporating problem solving on actual work problems or using case studies that simulate common work problems will have the greatest impact and retention of new knowledge and skills (Lankard, 1996; Pedler, 1983/1987). Additionally, performance support such as job aids and access to online resources (e.g., Help systems and knowledge bases) can provide formal support and reinforcement after the learning program.

Informal Learning

Supporting formal learning, informal learning can have additional informational and transformational learning benefits. Informal learning can be defined as the individually driven lifelong learning that occurs outside training or a classroom. Lifelong learning, in turn, encompasses many of the meta-learning skills that can be applied to everything that one learns over a lifetime including an individual’s ability to “take responsibility for learning, learn through research, reflect and evaluate, [and] use information and communications technology” (Kerka, 2001). Progressive companies that strive to be knowledge-enabled learning organizations need to pay attention to these transformative elements of learning as well as the more common human capital and information learning elements.

Some important methods supporting informal learning include communities of practice and the growing number of Web 2.0 collaboration and social software tools. As Rozwell (2008) shared in a presentation earlier this week, social networks are self-forming communities and groups that often form knowledge collectives. These communities and collectives can be an unlimited source of knowledge sharing and creation that make up an organization’s ‘learning ecosystem.’ Some of the most common tools for informal learning include mentoring, coaching, internships, offering access to experts, and providing virtual meeting and collaboration space for communities (e.g., via web conferencing and discussion boards). The benefits of investing in these informal as well as formal methods of learning are to create channels for collaboration, do more with existing resources, and improve communication, teamwork, problem solving, and learning (Rozwell, 2008).

Mentoring in particular can have many positive benefits for employee development—for both the mentor and the one being mentored. As Hansman (2000) argues, mentoring is “integral to learning in the workplace, to receiving career help, and for developmental and psychosocial support” (p. 494). In addition to employee development, mentoring can also further support efforts to transfer knowledge, bridge gap between different work groups, and develop high potential employees (Hansman, 2000). To structure a mentoring program for employee development, it would be important to provide the opportunity for mentors and protégés to be able to select one another; in lieu of that, group mentoring may be an attractive option. Additionally, executive coaching using external professionals would be the most effective approach for ensuring that high-level employees in the organization are also receiving the feedback and guidance they need to improve their individual (and therefore the organization’s) performance.

Conclusion

To develop an effective employee development program, it is important to think holistically and act systematically. Aim for development of the whole employee—as not just a receptacle for important informational learning that will enable them to contribute to the organization, but also as a lifelong learner with important underlying core competencies and intelligences that can equally benefit the organization by improving how work gets done. In implementing the employee development program, act systematically so that there are clear links between hiring criteria, performance expectations, workplace learning opportunities, and job responsibilities. Making the growth of employees a priority and showing them a clear path with options customized to meet their needs can help organizations reap the benefit of having a workforce that is more innovative, engaged, and loyal.

References

Buckingham, M. & Clifton, D. (2001). Now discover your strengths. New York: The Free Press.

Burton, J. (2006). Transformative learning: The hidden curriculum of adult life. Work Based Learning in Primary Care, 4(1), 1-5.

Hansman, C. (2000). Formal mentoring programs. In A. Wilson & E. Hayes (Eds.), Handbook of adult and continuing education (pp. 493-507). San Francisco: Jossey-Bass.

Imel, S. (1998). Transformative learning in adulthood (ERIC Digest No. 200). Columbus, OH: ERIC Clearinghouse on Adult Career and Vocational Education. (ERIC Document Reproduction Service No. ED423426)

Kerka, S. (2001). The balancing act of adult life. Retrieved March 7, 2008 from http://www.cete.org/acve/docgen.asp?tbl=digests&ID=114

Klein, H. J., & Weaver, N. A. (2000). The effectiveness of an organizational-level orientation training program in the socialization of new hires [Abstract]. Personnel Psychology, 53(1), 47-66.

Knowles, M. S., Holton, E. F., & Swanson, R. A. (1973/2005). The adult learner (6th ed.). Burlington, MA: Elsevier Butterworth-Heinemann.

Kroeger, O., & Thuesen, J. M. (1992). Type talk at work. New York: Delacorte Press.

Lankard, B. (1996). Acquiring self knowledge for career development. In ERIC Digest No 175. Retrieved April 25, 2008 from http://www.cete.org/acve/docgen.asp?tbl=digests&ID=28

Lawrence, G. (1979/1982). People types and tiger stripes: A practical guide to learning styles (2nd ed.). Gainesville, FL: Center for Applications of Psychological Type.

Pedler, M. (1983/1987). Action learning in practice (3rd ed.). Brookfield, VT: Gower Publishing.

Prahald, C. K., & Hamel, G. (1990). The core competence of the corporation (HBR OnPoint Article No. 6528). Boston, MA: Harvard Business School Publishing Corporation, Harvard Business Review.

Rozwell, C. (2008, May). Web 2.0 in the learning ecosystme: Challenges and benefits of adoption. Poster session presented at Saba and Gartner's Web 2.0 in the Learning Ecosystem, Webinar.

Sims, D. (2002). Creative new employee orientation programs. New York: McGraw-Hill Professional.

- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com


May 15, 2008

Technology and Life-Long Learning

Technology-enabled learning has become a staple in how adults partake in life-long learning. Government and military were early adopters of technology-enabled learning, particularly via simulations. Workplace eLearning programs aim to provide just-in-time access to key job-related knowledge and skills training. Academic eLearning programs provide greater accessibility to higher education for busy working adults. Against this context, what can we make of Kasworm & Londoner’s (2000) three elements they argue "influence the design and conduct of technologically-mediated learning systems for adults" (p. 234)?

1. “Who should be responsible and have authority in the design and conduct of the adult learning experience [for technology-based learning programs]?” (p. 234)

Kasworm & Londoner (2000) posit that authority for learning process and design can reside with many different parties: instructional designers, technical support groups and experts, learners, and instructors. They argue that the traditional ISD model of instructional design—when applied to technology-enabled learning—is too inflexible to “target specialized learner needs, create unique classroom dynamics, or introduce new and varied content” (p. 235). Furthermore, Kasworm & Londoner argue that technical experts run the risk of becoming too “enamored by the ‘bells and whistles’ possible in the technologically-mediated learning approach” (p. 235).

In my experience as a designer and developer of eLearning since 1990, I have personally witnessed both of these issues. I have seen instructional designers struggle to adopt their behavioral, and often sequential, mindset to the more fluid and flexible approach that is preferred when developing engaging eLearning. For example, the tendency of instructional designers new to eLearning often is to create a “page-turner” program with a certain number of content screens followed by a multiple choice question. After 10 minutes of this for the learner, this is no longer engaging nor are the multiple choice questions likely to be measuring knowledge acquisition much beyond the knowledge or comprehension level. I have also seen programmers and media developers create beautiful interactive media, but with questionable instructional benefit. For example, what is the true educational value of a simulated 3D office environment with full-motion video inserts of talking heads? Other than requiring significant bandwidth and graphics processing power, how does having this type of “edutainment” help the learner truly learn the material any better or at a higher cognitive level? In fact, I often caution clients to beware of eLearning vendors who say their programs are highly interactive when what they really are is highly entertaining and media rich; true learning comes from the learner interacting with the program based on decisions they make—it does not mean passively watching the monitor as a video or animation plays.

So who is responsible and should have authority in the design and conduct of the adult learning experience for technology-based learning programs? Simple. The learner should. It is up to the instructional designers and technology experts to come together to create programs that are engaging, educational, and provide for flexible pathing through the material, e.g., test-out options for more advanced learners and remedial review for those who need additional assistance. Therefore, the learner should be considered throughout the design and development process, and be an active member during Pilot testing by providing constructive feedback to help improve that and future programs.

2. “How can practitioners create learning processes and design for these interactions and connections [between learners, instructors, and content] to occur?” (p. 237)

In a related vein, Kasworm & Londoner (2000) caution about “the repetitive nature of technology learning modules, the lack of instructional connections to the adult learner’s background and current communities of practice, and the lack of critical engagement in the content knowledge and skills” (p. 237). One potential solution is the use of blended learning—a mix of technology with instructor-led or other high-touch (rather than high-tech) techniques. Bielawski & Metcalf (2005) expand this definition of blended learning to include “different online learning delivery methods, such as asynchronous and synchronous course delivery [that] can be used to create effective training and development solutions that reflect a sophisticated blending of new e-learning technologies and alternative approaches to instructional design” (p. xvii). In fact, some of the different eLearning categories presented by Bielawski & Metcalf (2005) include facilitated synchronous learning (i.e., live online training), facilitated asynchronous learning (e.g., online learning such as that offered by Walden University), self-paced computer- or web-based training, and collaboration tools (e.g., online chat, web conferencing, and discussion boards).

In my experience, I have used all of these instructional techniques either on their own or as part of a blended learning strategy. In selecting courses that make good candidates for delivery via strictly technology-delivered methods, I recommend selecting those courses that have (1) a large audience, (2) stable content, (3) interaction needs that translate well to the selected eLearning approach, and (4) a content area with natural “pull” (i.e., one that learners are motivated to complete). In addition, technical, procedural, and factual content are excellent candidates for eLearning delivery; “soft skills” and application can certainly be accomplished via eLearning, but preferably only if the budget allows for a more extensive development effort and if the team has access to instructional designers and technology experts experienced in building interactive simulations. Another viable option for this type of learning is to use a blended approach. For example, present the procedural/factual prerequisite knowledge via self-paced technology and then the application, analysis, and synthesis components via an instructor-facilitated method (whether face-to-face classroom or facilitated online learning). Collaboration tools (e.g., online chat, web conferencing, and discussion boards) can also be used very effectively (1) before learning to establish the learning community and ensure understanding of prerequisite knowledge; (2) after the learning event to reinforce the training and ensure transfer of the new skills and knowledge; and (3) by the team designing and developing the learning itself.

3. “What should be the place and role of evaluation and critical reflection for instructors, designers, technical support personnel, and learners?” (p. 238)

The last element Kasworm & Londoner’s to consider is evaluating learning via technology. Kasworm & Londoner (2000) lament that “traditional learning systems often use both formative and summative evaluation to improve a learning event…however, there is limited discussion of models and strategies for effective evaluation within technology-mediated instruction” (p. 238). Perhaps this was the case at the time of the writing of their article, but progress has been made to ensure evaluation is a critical component of distance learning programs. Allen (2003) recommends the use of rapid prototyping as a method for formative evaluation via successive cycles of design, creation, and evaluation (p. 137). Bielawski & Metcalf (2005) recommend establishing and tracking measurements of both business impact and training efficiency. For example, business impact metrics might include participation, progression, and satisfaction; and training efficiency metrics might include cost and time measures, level 1 evaluations, level 2 tests, and level 3 assessments (per Kirkpatrick’s model) (Bielawski & Metcalf, 2005, p. 145).

In my experience, one can design distance learning that provides the learner with multiple opportunities to evaluate their own knowledge—and to give them control over their learning experience based on the results of that evaluation. For example, pre-tests can be used to give learners the ability to opt out of particular sections/modules; these results can also help direct the learner to those sections of the course that best meet their needs. Pre-test versus post-test results also can be compared to provide quantitative evidence of increased learning resulting from completion of the learning program. Additionally, if the organization links their training to a Learning Management System, these results can be rolled up to analyze trends at a module, course, curriculum, or even particular demographic or subgroup level—all very important data and feedback points to help shape current and future programs.

And one last very important point—in evaluating eLearning programs, it is important to remember to give more credence to the feedback received from the learners—and not the sponsors/those paying for the program. I have seen too many programs fail because a key stakeholder said, “I know what the learners need and want” rather than finding out for sure from the learners themselves. Adopting the approach used by information technology professionals, the design and development of distance learning and eLearning programs should always be user-centered.

References

Allen, M. W. (2003). Michael Allen's guide to e-learning: Building interactive, fun, and effective programs for any company. Hoboken, NJ: John Wiley & Sons, Inc.

Bielawski, L. & Metcalf, D. (2005). Blended elearning: Integrating knowledge, performance support, and online learning (2nd ed.). Amherst, MA: HRD Press.

Kasworm, C., & Londoner, C. A. (2000). Adult learning and technology. In A. L. Wilson & E. R. Hayes (Eds.), Handbook of adult and continuing education (pp. 224-241). San Francisco: Jossey-Bass.

- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com


May 23, 2008

Adult Learning via Technology

In assessing technology’s role in distance education for adults, Gibson (2000) argues that four questions must be considered—what is being accessed, how are programs designed, who is being served, and with what results? At the time of Gibson’s article in 2000, these were valid concerns for study. After 8 years and significant advances in technology and the options available for distance learning, the question is whether these questions still valid and worthy of additional study.

Range of Programs

Gibson lists higher education, business and industry, military and government, health care, and adult and continuing education as the primary groups utilizing distance education. Within the business and industry sector, usage of technology-enabled learning continues to grow. Sugrue & Rivera (2005) reported that the percentage of learning hours provided via technology has increased from 8.8% in 2000 to a projected 32.5% in 2005 (p. 14). Similar industry reports show this trend continuing for the foreseeable future. In higher education, Allen & Seaman (2007) report that from 2002 until 2006 the percent of online enrollment versus total enrollment in degree-granting postsecondary institutions grew from 9.7% to 19.8% (p. 5). In 2006, 3.5 million students were taking at least one online course, up from only 1.6 million in 2002 (p. 5). Another interesting statistic is:

“…whether online degrees are as good as those granted by face-to-face programs. Overall, only about one-in-five institutions disagrees with the statement that “online degrees have the same level of respect as face-to-face degrees.” About one-half are neutral, and the remaining portion (27 percent) agree with the statement.” (Allen & Seaman, 2007, p. 15)

The question of reach and usage may be interesting to study, but the acceptance and credibility factor—to this author—would seem more critical to study.

How Programs Are Designed

The design of distance education has been evolving since the early days of interactive video, then computer aided instruction, then computer based training, then web based training, and now eLearning. Many early adopters tended to focus either on flashy multimedia “edutainment” programs, or on converting PowerPoint presentations or paper-based materials to an online format. Unfortunately, edutainment-type programs were beyond the economic reach of many, and the proliferation of “page turner” eLearning programs helped coin the phrase “bLearning” (as in boring learning). The design of programs, in terms of their engagement level, instructional integrity, and transference of skills and knowledge is something very worthy of continued study. Especially with the advent of many rapid-development tools becoming available on the market, many are tempted to sacrifice instructional integrity for quick results. Quantifying the impact of programs built on solid adult learning and instructional design principles versus those built with a more limited focus (perhaps on content only) could be very beneficial justification for the field of distance education.

Who Is Served

From my experience as a developer, student, and facilitator/professor of eLearning and distance education, I can anecdotally support Gibson’s (2000) claim that the majority of online learners are women. I have also observed that in higher education in particular, there often is greater racial diversity represented as well. This is a refreshing change versus many traditional universities. However, given Gibson’s alarming words regarding the risk of being perceived as “less well educated” if one selects distance education over traditional bricks-and-mortar institutions, I think it is imperative that this be studied over time. Again, as mentioned earlier in this paper, the acceptance and credibility factor of online learning would be important to study in order to help further validate it as a viable—and in some cases perhaps even preferable—method for education.

Results

Gibson (2000) raises a number of interesting questions in regards to what results may come from greater usage of distance education, particularly from the perspective of potential social impact and change and the democratization of learning access. This is an admirable, and perhaps idealistic, goal. The question, though, is this a matter for scholarly study or perhaps more of a political or policy question? In lieu of a definitive answer, perhaps we can all take whatever steps we can within our own spheres of influence toward Gibson’s ideal that all people are “ensured quality of access to and success in lifelong learning” (p. 436).


References
Allen, I. E., & Seaman, J. (2007). Online nation: Five years of growth in online learning Retrieved May 15, 2008, from http://www.sloan-c.org/publications/survey/pdf/online_nation.pdf

Gibson, C. C. (2000). Distance education for life long learning. In A. Wilson & E. R. Hayes (Eds.), Handbook of adult and continuing education (pp. 423-437). San Francisco: Jossey-Bass.

Sugrue, B., & Rivera, R. (2005). State of the industry Retrieved May 15, 2008, from http://www.astd.org/NR/rdonlyres/563C2472-1F53-4BEE-8213-7CC19BC532C5/0/ASTD_StateoftheIndustry_2005.pdf


- Robin

Copyright Robin Donnan 2008. All Rights Reserved.
http://www.perfassocinc.com


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