Extend, Obsolesce, Retrieve & FLIP

Dan Pink discusses Karl Fisch’s classroom techniques in the Telegraph article: Think Tank: Flip thinking – the new buzz word sweeping the US

However, instead of lecturing about polynomials and exponents during class time – and then giving his young charges 30 problems to work on at home – Fisch has flipped the sequence. He’s recorded his lectures on video and uploaded them to YouTube for his 28 students to watch at home. Then, in class, he works with students as they solve problems and experiment with the concepts.

Lectures at night, “homework” during the day. Call it the Fisch Flip.

This article shows how a relatively small shift can have some big impacts. I’ve noticed that art schools have used a similar model for years; class (studio) time is for practice & feedback while evenings are for reading. My wife is currently doing her BFA and this is the model for both her photography studio and print-making workshop.

I think the education and training fields can learn much from the arts & crafts, who never abandoned the mentor/apprentice model.  With unlimited access to information, we waste our time together if it’s just information presentation. Perhaps this means we’re seeing the final days of the industrial classroom and the rise of the practice/collaboration room. With this flip, people will need to develop as self-directed learners and instructors will have to focus more on coaching, mentoring and activity development.

The notion of a flip is one that the McLuhan’s discussed in detail in the Laws of Media and is explained concisely by Derrick de Kerckhove, Director of the McLuhan Program in Toronto, in this interview:

every new medium:

  • extends a human property (the car extends the foot);
  • obsolesces the previous medium by turning it into a sport or an form of art (the automobile turns horses and carriages into sports);
  • retrieves a much older medium that was obsolesced before (the automobile brings back the shining armour of the chevalier);
  • flips or reverses its properties into the opposite effect when pushed to its limits (the automobile, when there are too many of them, create traffic jams, that is total paralysis).

Variations on a theme of PKM

If you don’t make sense of the world for yourself, then you’re stuck with someone else’s world view. Personal knowledge management is not so much about creating knowledge but rather the development of conscious regular activities from which can emerge new knowledge. The knowledge artifacts created along the way are only as good as the use to which they are put. My idea of Seeking > Sense-making > Sharing is similar to many other descriptive processes about learning and working.

I’ve mentioned on this blog:

Fluctuating Support Networks: Finding & Likening > Igniting Passions > Mutual Engagement

The Evolving Social Organization: Listen > Create/Converse > Co-create/Formalize

Critical Thinking: Observe/Study > Tentative Opinions > Participate/Evaluate/Challenge

These are all different ways of looking at learning to learn and learning to work; as individuals, with groups and in networks.

CI and KM

Jack Vinson asks: “Can anyone point me (and my friend) to some better resources around doing ‘competitive intelligence’ by asking people within the company to work together to develop the intel?  I’ve pointed him to the Strategic and Competitive Intelligence Professionals.”

I was introduced to CI by Conor Vibert about 10 years ago and I discussed on this blog how I did some small scale intelligence collection, collation and dissemination, five years ago. In Conor’s competitive intelligence class at Acadia University, he has students giving presentations on a business, while others are going online to question their claims, and other students are using chat to discuss the points without interrupting the speakers. It’s exciting to watch Conor’s classes in action. Last year, I suggested to a client, a small technology company, how they could set up a CI process. [The company is no longer in business, so I don’t consider this confidential information any more]

Conor wrote a book on CI — A framework for web-based analysis and decision making.

Recommendations:

Developing an internal Competitive Intelligence process:

1. Start by asking questions internally and seeing what kind of answers you get. Use your existing social media tools to do this. A blog or a wiki would work.

2. As a distributed team, each person can be responsible for a specific information source that is monitored regularly.

3. Ask a weekly question and see who can get some information that may be able to answer part or all of it.

4. In the feedback to these questions people may ask you to re-frame the questions. Continue to learn and refine this process for your unique context. Better questions will make for better CI.

5. You may not need to hire anyone else to collate the data, but if you do, keep your team (who have industry knowledge) involved.

6. Don’t just hand CI over to a junior staff member. CI should be part of the conversational flow in the company. Marketing, sales, developers and management should be actively involved.

7. The process of asking questions, seeing if there are answers and in turn asking questions about the questions can hone the team’s ability to gather competitive intelligence.

8. If you decide to purchase access to information sources, such as Hoover’s, only buy one at a time. Use that source as much as you can (squeeze it dry) and until you realize you should eliminate it or augment it with another purchased source.

Fluctuating support networks

I had the recent pleasure of meeting Judith Holton, a colleague at Mount Allison University. Judith passed on a couple of papers which I found most interesting, as she has looked deeply into the theory behind the need for what I would describe as social learning networks. Judith uses the term, “fluctuating support networks”. In Exploring the informal organization in knowledge work: A grounded theory of  fluctuating support networks (2008), Judith concludes [my emphasis]:

The study contributes to management praxis by raising awareness and offering insights into the practical value of fluctuating support networks and their power to rehumanize the knowledge workplace. As an informal response to the formal organization, fluctuating support networks deviate from the conventions of the formal organization and provide network members with a venue for fulfilling unmet social and psychological work-related needs. Knowledge and understanding of such networks may enable managers to understand their functionality in resolving knowledge workers’ concerns and needs in response to persistent and unpredictable change and may offer managers an additional resource for achieving strategic organizational goals, especially those goals that require cross-functional integration and non-conventional perspectives to address increasingly complex organizational problems. Adopting the basic social process of rehumanizing as a conceptual framework may assist managers and human resource professionals in developing organizational strategies that support a broader humanistic paradigm. Such perspective also highlights the value of the informal organization, and fluctuating support networks in particular, as important psychological infrastructure for the knowledge workplace.

Rehumanising Knowledge Work through Fluctuating Support Networks [PDF] (2005) describes the three stages of rehumanising (Finding & Likening; Igniting Passions; Mutual Engagement). I was most surprised when I noticed that each of these steps parallels the three parts of personal knowledge management, namely: Seeking; Sense-making & Sharing. I’ve added some of my previous statements on working smarter, after the colon:

Finding & Likening, which is serendipitous or intentional: PKM prepares the mind to be open to new ideas (enhanced serendipity)

Igniting Passions, which amplifies causal looping process:  Aids in observing, thinking and using information & knowledge (I Sense)

Mutual Engagement, which facilitates creative problem solving: “You know you’re in a community of practice when your practice changes” (We Use)

Judith Holton’s research confirms my observations and readings over the past decade. Knowledge workers cannot work effectively within the confines of hierarchical structures that are beset by change from within and without. Social networks, facilitated by social media, provide the fluctuating support networks that are necessary. The problem is clear:

Knowledge workers identify this increasing sense of dehumanisation in their work and work environments as a particular concern. The loss of the human dimension in workplace interactions is characterized by a work environment that is compressed, fearful, isolating, bureaucratic and legalistic; by interactions that are atomised and inauthentic; and, by work assignments that erode autonomy and identity. (Holton, 2008)

Once again, I see that social learning in informal networks is key to getting things done in today’s knowledge-intensive workplace.

Whither the learning organization?

Why aren’t we all working for a learning organisation? ask John Seddon and Brendan O’Donovan,  authors of this same-titled 2010 AMED Network paper ( PDF ). This article is well worth the read for anyone interested in learning organizations, an often-described but seldom-observed phenomenon in my experience. The Deming quotes show that this is not new conceptual territory:

“Our prevailing system of management has destroyed our people. People are born with intrinsic motivation, self-respect, dignity, curiosity to learn, joy in learning. The forces of destruction begin with toddlers – a prize for the best Halloween costume, grades in school, gold stars – and on up through the university.

On the job people, teams, and divisions are ranked, reward for the top, punishment for the bottom. Management by Objectives, quotas, incentive pay, business plans, put together separately, division by division, cause further loss, unknown and unknowable.” (Deming in Senge 2006)

Deming understood that systemic factors account for more organizational problems, and therefore more potential for change, than any individual’s performance. The role of managers should be to manage the system, not the individual functions. The authors target the real culprit: command & control management. This is why the learning organization has never taken hold in business.

For many years I have been fairly certain that the model we use for our structures is the problem, not the people doing the work.  This article, and the works it cites, help to confirm this.

I have only perused Deming slightly and I read Senge’s work 15 years ago, while completing my Master’s thesis. It’s time to revisit these important works, as also suggested to me by Bertrand Duperrin. I like that this article clearly articulates the work to be done in organizational design and new management theory, based on the research of Senge, Deming, Argyris and many others. It is an excellent synthesis of the work that has been done in the field as well as a call for the work to be done in our organizations.

“The basic precepts of command and control have remained unquestioned whilst the underlying paradigm has outlived its usefulness. The problem is not a general problem of culture, but more specifically is one of management thinking. In order to change this mindset, managers must learn to study their organisation as a system, and to understand the true nature of the problems facing them.”

Lectures, bloody lectures

Yesterday I attended Lectures: Dead and Alive, The 2010 Tucker Talk, delivered by Dr. Bruce Robertson, Professor of Classics, who asked, “In an age of instant online videos, why do people still travel thousands of miles to hear a public presentation? Why are lectures so improbably still ‘alive’?”

Bruce is an energetic speaker and he gave an excellent presentation, without slides, that kept the audience’s attention, in spite of the extreme heat and humidity in the auditorium. Bruce said that the lecture is a grand and living thing and noted how the rapt attention of others focused on a single presenter can induce a higher degree of focus. We’ve all heard of or perhaps witnessed people who can electrify a room. Bruce explained how lectures can help us to experience the sublime, enabling the contemplation of otherwise hidden natural order, and this is what teaching should offer. He admitted that the lecture as mere knowledge dissemination, in this age of wikipedia, is dead. Good lectures excite and inspire. His lecture reminded me of the article Love on Campus [dead link].

One of the comments after the talk was that the university continues to value the lecture.

This morning I attended six presentations on research activities. Presentation styles varied widely and included poor slide design with multiple bullet points, counterbalanced by unbounded enthusiasm for the research area. No presentation had the elegance of Bruce’s lecture and I would wager that there is one major reason why not – PRACTICE. Good lectures require practice, something few of us have, or make time for, unless it’s a prestigious speech. I know that my father-in-law, with 30 years of university teaching experience, still rehearsed each of his lectures, including those to first year students. I think he was an anomaly.

Today, several of the presentations went over the allotted time. I would again attribute this to the lack of practice. The question that I now ask is: if you are going to lecture, is it worth doing if it isn’t done well? Given that most lectures range from 45 minutes to an hour and a half, it might be better to create some good notes and have a Q&A session instead. If people run out of questions before the allotted time, just stop. A lecture poorly done offers few escape options: one must plod on to the end.

The TED Talks have shown how powerful a good lecture (presentation) can be. This is what I strive for but have yet to achieve. However, TED has some pretty strict rules, which should be considered before choosing the lecture as teaching mode.

The TED Commandments

These 10 tips are given to all TED Conference speakers as they prepare their TEDTalks.

1. Dream big. Strive to create the best talk you have ever given. Reveal something never seen before. Do something the audience will remember forever. Share an idea that could change the world.

2. Show us the real you. Share your passions, your dreams … and also your fears. Be vulnerable. Speak of failure as well as success.

3. Make the complex plain. Don’t try to dazzle intellectually. Don’t speak in abstractions. Explain! Give examples. Tell stories. Be specific.

4. Connect with people’s emotions. Make us laugh! Make us cry!

5. Don’t flaunt your ego. Don’t boast. It’s the surest way to switch everyone off.

6. No selling from the stage! Unless we have specifically asked you to, do not talk about your company or organization. And don’t even think about pitching your products or services or asking for funding from stage.

7. Feel free to comment on other speakers’ talks, to praise or to criticize. Controversy energizes! Enthusiastic endorsement is powerful!

8. Don’t read your talk. Notes are fine. But if the choice is between reading or rambling, then read!

9. End your talk on time. Doing otherwise is to steal time from the people that follow you. We won’t allow it.

10. Rehearse your talk in front of a trusted friend … for timing, for clarity, for impact.

If these guidelines cannot be met, then perhaps the lecture is not the best format.


BTW, the title comes from this video.

Organizational change, unpacked

In the evolving social organization, I included a table with several descriptive terms, which Amanda Fenton suggested needs to be “unpacked”.

Simplicity

basic hierarchy

Complication

bureaucracy

Complexity

wirearchy

Organizational Theory
Knowledge-Based View Learning Organization Value Networks
Attractors
Stakeholders (vision) Shareholders (wealth) Clients (service)
Growth Model
Internal Mergers & Acquisitions Ecosystem
Knowledge Acquisition
Formal Training Performance Support Social
Knowledge Capitalization
Best Practices Good Practices Emergent Practices

I’ve linked the sections to my posts that describe some of these terms in more detail [Feel free to suggest better resources/links for the sections I’ve missed].

Many organizations today are based on complicated models but they should be developing ways of dealing with a more complex, networked business environment. Simplifying to a basic hierarchy won’t help, though there are many simple solutions sold as answers to our complicated organizations. Remember the wildly popular who moved my cheese series? Well, now you can use carrots instead of cheese. Works for vegans I guess, but simple answers for complex issues don’t work.

Real solutions require people to do some hard work.

Let’s look at Knowledge Acquisition. Formal training is easy to task out or outsource and then assume that everything has been taken care of. The training gets done and the organization can account for it. Managers can say, “my people got their training”. Courts can be assured that workers have been trained, so the company has met its responsibilities.

Even performance support tools can be developed centrally, by external consultants or an internal team. The resulting tools are then sent throughout the organization to be used at work. The organization can say, “they have the tools”. For example, all bank officers can use the same mortgage calculator, so risk is managed fairly easily once the system is in place. The system is under control.

However, social knowledge acquisition in the organization is a different case. It requires a very different approach. First of all, centralized control won’t work. Secondly, individuals will become responsible for their learning and their actions. This requires trust. Control systems become counter-productive. There is no easy way to move an organization into this wirearchical space. It requires some serious thinking about how things get done. It means giving up control. It means organizational life in perpetual Beta, and that can be a scary thought. But I’m convinced that it’s worth doing.

Image by Cynthia Kurtz

The Evolving Social Organization

Co-author: Thierry deBaillon@tdebaillon

Simplicity and the Enterprise

Most companies start simple, with a few people gathering together around an idea. For small companies, decision-making, task assignments and direct interaction with clients are rather straightforward.  With growth, the simplicity ends. As every entrepreneur knows, the initial growth of a company is often synonymous with efficiency drops and decreases in profits, since administrative tasks, indirect structural costs and middle-term forecasts add financial and human pressure on early growth.

Overcoming these obstacles is one of the main burdens of start-ups and young businesses. Innovation abounds in the early stages and knowledge capitalization is aided by a common vision of the business. Further growth equates to sustainable efficiencies and market share increases. For decades, organizational growth has been viewed as a positive development, but it has come at a cost.

Complication: the industrial disease

As organizations grow, the original simplicity gets harder to maintain. Current management wisdom – based on Robin Dunbar’s research; the size of military units through history; and the work of management experts such as Tom Peters – considers the ideal size of an organization to be around 150 people. Beyond this size, knowing everybody in person becomes impossible. Intermediate layers of power and delegation begin to develop above 150 people and companies then enter the realm of complication.

Most of today’s larger companies have a complicated structure. To enable growth and efficiencies, more processes are put in place. This is what management schools have been doing for over half a century.  To ensure reliable operations and risk mitigation, the core competencies of decision-making and innovation are moved to the periphery. The company’s vision, if there is one, is now supported at the board level but not the individual level. New layers of control and supervision continue to appear, silos are created, and knowledge acquisition is formalized in an attempt to gain efficiency through specialization.

As companies get even bigger, internal growth and innovation reach a tipping point, and companies rely on mergers and acquisitions to maintain the illusion of  growth. At some stage of complication, companies do not even create jobs anymore. In France, a study from INSEE showed that large organizations have a tendency to destroy internal jobs: by transferring jobs to subsidiaries, contractors and subcontractors. Large firms barely participate in job creation. Similar studies conducted in other countries show the same results. However, knowledge, and the acquisition of new knowledge, are still key factors for innovation and effectiveness. To compensate for its complicated processes, the enterprise attempts to shift to another paradigm, and tries to become a learning organization, putting significant effort into training.

Complexity and the new Enterprise

Today’s large, complicated organizations are now facing increasingly complex business environments that require agility in simultaneously learning and working. Typical strategies of optimizing existing business processes or cost reductions only marginally influence the organization’s effectiveness. Faster evolving markets challenge the organization’s ability to react to customer demand. Decision-making becomes paralyzed by process-based operations and chains of command and control; thereby decreasing agility. Training, as “the” solution to workplace learning needs, fails to deliver and then gets marginalized, often being the first department to have its budget cut.

Many organizations today are also facing significant demographic challenges. Baby boomers, once the lifeblood of business, are retiring, while Generation Y wants to communicate and interact in a completely different manner. There may be four generations in the modern workplace and each has its unique traits and demands. There is growing complexity both inside and outside the organization.

Organizations need to understand complexity, instead of simply increasing complication. This lack of understanding, as well as some existing, but minor, efficiency improvements in tweaking the old system, are the major barriers to adopting Enterprise 2.0 concepts and practices. Companies need to get a clearer view of the competitive advantages of Enterprise 2.0 before an organizational framework like wirearchy can co-exist with hierarchical structures and thinking.

Wirearchy: a dynamic two-flow of power and authority based on knowledge, trust, credibility and a focus on results enabled by people and technology.

Here are some key organizational changes during the journey from simplicity to complexity:

Simplicity
Complication
Complexity
Organizational Theory
Knowledge-Based View Learning Organization Value Networks
Attractors
Stakeholders (vision) Shareholders (wealth) Clients (service)
Growth Model
Internal Mergers & Acquisitions Ecosystem
Knowledge Acquisition
Formal Training Performance Support Social
Knowledge Capitalization
Best Practices Good Practices Emergent Practices

Let’s look at how social learning can support emergent practices in the enterprise:

Implementing Social Learning

Knowledge workers get things done by conversing with peers, customers and partners, as they solve the problems of the day. Learning from these social interactions is a key to business innovation. In a globally networked economy, based increasingly on intangible goods and services, constant innovation is necessary to stand out. Markets such as software, financial services, consulting and consumer goods have to continuously adapt their offers to keep up with changing demands and advances in technology.

Hyper-linked knowledge flows have made organizational walls permeable. Official channels are competing with an expanding number of informal communications. A collaborative enterprise is becoming  the optimal organization for such a networked economy, capitalizing on these expanding knowledge flows. To innovate, organizations need to collaborate internally and this is social. To participate in their markets, organizations, customers and suppliers need to understand each other and this too, is social. Social learning is how knowledge is created, internalized and shared. It is how knowledge work gets done.

In complex environments, learning is much more than just a matter of structured knowledge acquisition. However, that is all that training enables. Corporate training methods often consist of delivering content and perhaps providing drill and practice sometime prior to doing the task. There is often a gap between training and doing. Training alone cannot address the wide variety of informal learning needs of workers. Nor can it help to transfer the tacit knowledge on which many of us depend to do our jobs.

We know that informal learning happens all of the time but often the best answers or experts are not connected to the person with the problem. Social learning networks can address that issue by giving each worker a much larger group of people to help get work done.  Regularly publishing to our networks is how we can stay connected. Here is an approach to embed social learning into organization work flows. This is an iterative process that can be adapted to fit the context.

Listen & Create: Being open to self-education is the foundation of individual learning. Part of this is the development of habits of continuous sense-making by recording what we hear, read and observe; e.g. personal learning environments (PLE) & personal knowledge management (PKM).

Converse: Sharing is an act of learning and can be considered an individual’s responsibility for the greater social learning contract. Without sharing, there is no social learning. Through ongoing trusted conversations we can share tacit knowledge, even across organizational boundaries; e.g. social learning.

Co-create: Group performance enables the creation of new knowledge and is a source of innovation; e.g. collaborative work, customer experience.

Formalize & Share: Some informal knowledge can be made explicit and consolidated through the formalization and creation of new structured knowledge; e.g. taxonomies, document management, storytelling.

Enterprise social learning

Social learning consultant Jane Hart has created a comprehensive, and growing, list of social learning examples in the workplace. Companies listed here include British Telecom, Sun Microsystems, NASA, Nationwide Insurance, and SFR. The SFR case study, reported by Sue Weakes, shows how a younger workforce is demanding better access to social media.

French mobile phone company SFR implemented ActiveNetworker from Jobpartners to support its new social network. My SFR comprises a company blog, a central space for discussion, and the ability to build profiles that allow employees to share information on career progress, learning and development and aspirations. They can also join groups of interest … ActiveNetworker has been well received and SFR is averaging 80,000 visits per week from the 10,000 employees that are using it.

Dave Wilkins at Learn.com, describes the case at ACE Hardware in which the company set up a web-based social learning platform for its 4,600 independent hardware dealers to share and seek advice. They were able to look for new sales leads, find rarely used items through the community and share merchandising display strategies. This social learning community strategy resulted in a 500% return on investment in just six months.

Cristóbal Conde, CEO of SunGard, a software and IT services company, was recently interviewed in the New York Times. He discussed how he has flattened the company’s hierarchy as a way of dealing with the globalization of the company. One important social communication tool at SunGard is Yammer, a micro-blogging platform similar to Twitter but used internally. NYT: “What kind of things do you write on Yammer?”

I try to see a client every day, and because of my title I get to see more senior people. And so then they’ll tell me things — you know, what are their biggest problems, what are their biggest issues, what are their biggest bets. All this information is incredibly valuable. Now, what could I do with that? I’m not going to send that out in a broadcast voice mail to every employee. I’m not even going to write a long e-mail about it to every employee, because even that is almost too formal. But I can write five lines on Yammer, which is about all it takes.

A free flow of information is an incredible tool because I can tell people, “Look, this is one of our largest clients, and the C.E.O. just told me his top three priorities are X, Y and Z. Think about them.”

The Ford Motor Company has used social media for learning, beginning with SyncMyRide, and now integrating it as a way to connect customers and the company.

Ford’s intention is to consider how social media can inform the company as a whole, rather than judging its efforts by the criteria of one department and those “holistic” lessons filter up and down through the company, says Monty [head of social media]y. That includes the company’s executive board and goes as far as putting up senior execs for online Q&As through Twitter and on the corporate Facebook page. “There is a healthy respect for [social media] and how we participate in it. Two-way dialogue is healthy for a company like Ford, and we’ve grown as a result of having participated in it,” says Farley [Chief Communications Officer]. At some point, as executives grow in seniority, they tend to become “isolated from reality,” adds Monty. Making the Ford board aware of and engaged with social conversations counters that isolation. “When [CEO Alan Mulally] says we are making the cars people want, well, how do we know unless we are listening?” asks Monty.

A business imperative

Deloitte’s Shift Index of 2009 highlights the challenges facing several industries today, that of declining return on assets and the need for innovation. One recommendation is to enable knowledge flows, a key benefit of social learning:

Given the growing importance of knowledge flows, perhaps the most powerful form of innovation in this context may be institutional innovation –re-thinking roles and relationships across institutions to better enable them to create and participate in knowledge flows.

One of the great things about web social media is that they are for the most part free. Experimentation does not require an enterprise-wide software deployment strategy at the onset. As Seth Godin, marketing and branding expert, says:

You guessed it: new media is largely free. So why teach it in school as if it were a scary theory? Why encourage people to be afraid? Just do it. Build your own platform. Appear in the places that seem productive or interesting or challenging or fun. Experiment quietly, figure out what works, do it more. No need to be a dilettante, and certainly you shouldn’t spread yourself too thin or quit at the first sign of failure… but… quit waiting for the right answer.

Our social networks have a greater influence on us than we think. Nicholas Christakis & James Fowler explain the latest research in great detail in the book, Connected: The surprising power of our social networks and how they shape our lives (Little-Brown, 2009). Robin Hanson shows that we seldom change our behaviour based solely on getting new information. “People don’t believe something works until they’ve seen it work in something pretty close to their situation. A media story about something far away just doesn’t say much.” Again, social learning is about getting things done in networks.

Getting started

According to Rebecca Ferguson at The Open University, social learning can take place when people:

  • clarify their intention – learning rather than browsing
  • ground their learning – by defining their question or problem
  • engage in focused conversations – increasing their understanding of the available resources.

Following the process explained earlier:

Listen: The first step in social learning is paying attention and watching what others are doing. Finding trusted sources of information is very important. Hearing what others are doing and connecting to them with social media such as Twitter or blogs increases the chances of accidental and serendipitous learning. For example, one can follow conversations on Twitter by searching for “hashtags”. Typing “#PKM” shows current conversations on personal knowledge management.

Converse: By engaging in conversations and providing valuable information to others one becomes part of professional networks. Many experts are willing to help those new to the field but newcomers first must say what they don’t know.

Co-create: Over time one can engage more in co-operative activities, such as adding comments to a blog post or extending the thought in an article or discussion thread. For many people used to traditional work, working transparently in the open takes some time to get to used to.

Formalize & Share: Writing professional journals or lessons learnt can ingrain the important process of formalizing aspects of social learning. Sharing with others, internally or externally, over time becomes part of a normal daily work flow.

As our work environments become more complex due to the speed of information transmission via ubiquitous networks, we need to adopt more flexible and less mechanistic processes to get work done. Workers have many more connections, to information and people, than ever before. But the ability to deal with complexity lies in our minds, not our artificial organizational structures. In order to free our minds for complex work, we need to simplify our organizational structures. According to the authors of Getting to Maybe, in complex environments:

  • Rigid protocols are counter-productive
  • There is an uncertainty of outcomes in much of our work
  • We cannot separate parts from the whole
  • Success is not a fixed address

This is the basis of the evolving social organization.

Some additional thoughts on social learning

Learning Executives Discuss Social Learning at ASTD 2009 (video):

Mike McDermott (T Rowe Price): “I think the impact of social learning will dramatically increase in the future, in a number of ways, both internally with our associates and externally with our clients.”

Karie Willyerd (Sun Microsystems): “we see the death of newspapers … the same thing is going to happen with learning functions and training materials … if we don’t learn how to publish with social media … through social learning.”

Walt McFarland (Booz Allen Hamilton): “The environment is going to demand it [social learning]. The problems are just tougher and they’re too big for any one consultant or any consulting team”

Dave Pollard on bridging generational differences in the workplace:

Our job, as people who appreciate the value and perspective of both generations, and value diversity, is what Nancy White calls “building bridges” — translating Gen Y’s ideas and requests into language “the man” can understand (value creation and ROI), and translating the boss’ and IT’s restrictions into language that Gen Y’ers can understand (the risk of catastrophic financial loss, loss of business reputation, and insolvency). The best way to build these bridges is by telling stories — of history, of unexpected and astonishing success, and of unintended consequences.

Tony Karrer on measurement:

What’s interesting to me is that with eLearning 2.0 or social learning or more specifically with using social tools to do things like have interesting conversations – what I want to measure is really not at all what is learned. I want to measure whether the results produced are better. I am not sure I know what they should have learned at all.

Personal Information Management for Sense-making

George Siemens calls it information management (what I describe as PKM).

I specifically use the term information instead of knowledge. Our encounter with information is one of sensemaking and wayfinding. We encounter a continual flow of information – most of it will never become “knowledge”.

From my perspective, the knowledge aspect of PKM is an emergent property of the activities conducted, many of which are merely information management. A more appropriate term would be ‘Personal Information Management for Sense-making (PIMS?)’, but PKM is the term I’m sticking with for now. For sure, merely tagging an article does not create knowledge. The process of seeking out information sources, making sense of them through some actions, and then sharing with others to confirm or accelerate our knowledge, are those activities from which we can build our knowledge. Managing and sharing information, especially through conversations, are fundamental processes for sense-making, as we get inundated with increasing amounts of information.

George describes some key activities and decision points (especially in Selection & Use) in the figure below. These five actions pretty much mirror my own PKM processes.

George says that, “Too many aspects of my sensemaking system are manual”, but I think this is a strength of PKM and other sense-making practices. By keeping them as manual activities we are forced to do something. For me, the act of writing a blog post or a tweet or an annotation on a social bookmark all force me to think a bit more than clicking once and filing or having it served up from an automated system. The weekly routine of reviewing my Twitter favourites and creating Friday’s Finds is another manual routine that I find helps to reinforce my learning and (hopefully) add to my knowledge.

Like George, I’m sure we can get better systems to help us, but for now I find the manual nature of my sense-making is an essential part of it. But then, I’m probably not as busy as George ;)

PKM Workshop – Toronto 13 November 2010

Update: This course was cancelled and is re-scheduled for 1 April 2011. If interested, please contact the iSchool and let them know. I am also available for private workshops.

I’m offering a one-day course at the iSchool Institute (University of Toronto).

“In the period ahead of us, more important than advances in computer design will be the advances we can make in our understanding of human information processing – of thinking, problem solving, and decision making…”
Herbert Simon, Economics Nobel-prize winner (1968)

PKM is an individual, disciplined process by which we make sense of information, observations and ideas. In the past it may have been keeping a journal, writing letters or having conversations. These are still valid, but with digital media we can add context by categorizing, commenting or even remixing it. We can also store digital media for easy retrieval.

The Web has given us more ways to connect with others in our learning but many people only see the information overload aspect of our digital society. Engaging others can actually make it easier to learn and not become overwhelmed. Effective networked learning is the difference between surfing the waves or being drowned by them.

Learning Objectives:

At the end of the course, students will be able to:

* Understand the concepts and models underlying PKM
* Select Web tools for critical thinking
* Determine PKM methods and processes that will work in their own context
* Begin to use some of the web tools that support PKM

PKM includes:

Personal Directed Learning – how individuals can use social media for their own (self-directed) personal or professional learning; and
Accidental & Serendipitous Learning – how individuals, by using social media, can learn without consciously realising it (aka incidental or random learning).

Prerequisite:
A current e-mail account
Basic understanding of how the Web works

Target Audience:
Knowledge workers, or anyone who wants to improve their learning skills using Web tools

PLC3033-10F1
Sat. 13 Nov 2010
1 day (6 hours) – 9:00 AM to 4:00 PM
Instructor: Harold Jarche
Fee: $250.00 ($250.00 U.S.)

Register