Learning is social by nature

Without going all the way back to the theories of Vygotsky or Albert Bandura, the simplest way to explain social learning is perhaps to look at the work of Richard J. Legers (Harvard Graduate School of Education), who has shown that one of the most important factors for success in higher education is a student’s ability to form and/or participate in small study groups. In comparison to those who had worked alone, those students who had studied in a group, even only once a week, were more involved and better prepared. The students from these groups were able to ask questions to resolve uncertainties and improve their own understanding of the subject by hearing the answers to other students’ questions. The most powerful element was the ability to play the role of teacher to other students, as it has been shown that the best way to learn is to teach.

The philosophy of social learning is in contrast to the traditional Cartesian view of education. In the Cartesian model, knowledge is a kind of substance and learning is a way for teachers to transfer this substance to their students. Instead of basing itself on the Cartesian principle "I think, therefore I am", the social conception of learning holds that "We participate, therefore we are".

It is in society that we learn. Observation, discussion and collaboration are also opportunities to learn. The social aspect of learning is fundamental. Social learning is therefore not a novelty that has appeared alongside Web 2.0.

Learning is not an event

When we talk about learning, we immediately think about formal learning; in other words, about training and education. However, this kind of organized learning only represents about 20% of everything we learn in our lives (see the works of Cofer).

Solving problems, design, creativity, research, experimentation and innovation are full-fledged learning experiences. Sharing experiences, observations, discussion, helping one another and cooperation are also kinds of learning. 80% of our learning is therefore unexpected, unplanned and informal.

From this point of view, the emphasis is less on the content and more on the activities and the human interactions that take place around the content. Indeed, real learning can be found in all the nuances of our way of collaborating, sharing and working. Learning is not something that takes place outside of work. Learning and work are in fact part of a single stream; it’s a continuous process, a skill, an ability to act.

Enterprise 2.0 = Learning 2.0

In our businesses, we know that informal learning takes place all the time, most of the time however, the answers and the experts most capable of solving a problem are not connected with the person who is attempting to tackle it. Social learning networks can remedy this situation by giving everyone access to a much larger group of people who can help them.

2.0 technologies are enabling technologies that connect us with each other, facilitating communication and collaboration. But they are not only technologies; and social learning, by allowing us to capitalise on the ever-increasing streams of knowledge that have made the walls of our organisations porous, fills the empty barrels of 2.0.

4Cs for Enterprise 2.0

Because social learning necessitates design, training, support, leadership, oversight and highlighting successes both big and small, we have developed an innovative and pragmatic approach in order to support our clients throughout their projects, both internally (tools and collaborative learning) and externally (social media). This approach facilitates acquiring and diffusing knowledge within social networks via an iterative and fractal process that can be summarised in four steps: Comprehension, Conversation, Collaboration and Capitalization.

socialearning - matrice 4c en

Our 4C method is based on two indirect consequences of 2.0, which are vital for the success of any Enterprise 2.0 project: visibility and transparency.

Making work visible and transparent

One unexpected and rarely-acknowledged consequence of the first generation of IT tools (email, word processing) which make up our day-to-day work environment is to render the work process less visible, precisely at the moment when we need it to be as visible as possible.

The end products of our work are highly refined abstractions. For example, this article tells you nothing about the initial idea or its evolution. Likewise, it doesn’t give you any information about the exchanges I may have had with my peers (via social networks or face-to-face), or about my own experiences that have shaped my thinking.

In business, the gains in personal productivity produced by these IT tools are often made at the detriment of organisational learning.

In the 1.0 world, I worked in an events management company. I was in charge of organizing a professional trade show, and for a beginner like myself, the sales targets seemed unreachable. The only way to meet them was to bring together all the stakeholders of the project whilst meeting their needs (explicit or otherwise). I couldn’t rely on the planning boards from previous years’ shows, or on the sales databases, and even less on the dry minutes of old meetings to help me understand.

I was lucky enough to have a managing director who gave me access to his office for several months. I was able to access all his notes, emails and his address book. I participated in all the formal and informal exchanges on the topic. Within a few months I was able to sketch a reasonably accurate map of the world of Florence that I had to navigate and proposed a strategy to make this trade show an unmissable event. By allowing me to observe his work, the director gave me an invaluable learning opportunity.

Transparency is the key to social learning and to Enterprise 2.0. This transparency encourages access to the people and information that we may need to make good decisions. It is the consequence of the open and multidirectional communication made possible by social tools. It can’t be imposed or forced. Transparency in Enterprise 2.0 involves making our actions and decisions visible to others. It’s about sharing information and knowing who has provided it. We’re talking about accountability and recognition. By bringing people and their experiences and ideas together, social learning allows us to increase our confidence in the shared information and in those who created it.

Changing models: from "command & control" to "connect & animate"

It is transparency that is proving the greatest challenge to the classic "command and control" management model. Managers have to accept that information is created and spread more quickly over networks. They must also accept that this movement will most often happen outside of their control.

Lately, one of our clients told me that "the problem with your approach is that if you give everyone the right to speak, they might just take you up on it!" It’s precisely this commitment to openness and transparency, which goes hand in hand with Enterprise 2.0, which must pressure management to innovate and adopt a "connect and animate" model.

Your IT department and in-house lawyers will tell you that it’s risky. But these risks can be managed. The value created by greater transparency in business is much greater than the potential cost. On the contrary, the real risks are attached to a lack of transparency, to bad decision-making, to making the same mistakes again or redoing the same work, to an inability to innovate or to understand and satisfy client needs.

Until now competitive advantages have been built on information asymmetry. In the future, we will be mistaken if we think that exclusive access to information is an advantage. In today's complex environment, real competitive advantages are created by people who can find relevant information, transform it into practical knowledge and use it to create value. The challenge is to find, attract and hold on to these people; the challenge is to create an environment in which their talent can be developed and used to its fullest; and transparency is essential in such an environment.

 

 

enterprise 20 french touchFind this article in the "Enterprise 2.0 - French Touch" White Paper, a collective and collaborative work.

 

As ever increasing speed and amount of available knowledge are reshaping day after day the world we live in, it looks like a gap is widening between the way most businesses still operate and the capabilities needed to deal with our environment’s growing complexity.

Organizational responses to overall increasing speed too often are costs reductions, automation and optimization. Efficiency has become the new business’ black, and BPR is its credo. But speed isn’t only a factor we have to cope with; it is deeply transforming the nature of our relationships to the world. As Paul Virilio wrote: “The speed of light does not merely transform the world. It becomes the world. Globalization is the speed of light.” When considering speed as an external constraint, companies are keeping themselves deliberately out of many of today’s new fundamental dynamics. Pushing the gas pedal won’t drive anyone faster than the engine was built for, and current business engine was assembled in the — industrial – XIXth century, and amended more than thirty years ago with the rise of the process-driven enterprise.

The shy face of Enterprise 2.0

On every subject, for every aspect of our life, the quantity of information available is so tantalizing, that we cannot simply store all information we need at some time into our memory anymore. Such abundance has transformed our cognitive process: we now mostly remember links and references to information, extending our memory map, our knowledge, to a network of peers and sources. The more information is made available, the stronger and wider this network becomes, and the faster knowledge is able to flow. This networked nature of our representation of the world in turn participates in increasing the global speed of the world.

One major Enterprise 2.0 frameworks’ motto is to help companies to deal better with this information overabundance, to make organizational knowledge expandable and faster to access, with the help of social software: connecting with the right information at the right time. So far so good. Power has shifted from knowledge to knowledge sharing. Cool; but for how long? Even if there is little hope to break the 90-9-1 rule in organizations, information is becoming ubiquitous in an exponential way.

A recent attempt to deal with this growing quantity of knowledge flows is content curation, to allow for a better distribution of information. Unfortunately, this only helps facilitating knowledge acquisition when the desired outcome is already known, since what is relevant to you isn’t necessarily so for someone else, or even in another situation. Context is missing here. What we need is another way to filter information in context, another way to make information usable through non-deterministic tasks. The real power resides in knowledge use, not in knowledge sharing.

Another motto is to start with clear objectives. Business objectives… When quantity of information and speed of transmission are changing our way of thinking, are deeply transforming our lives, is it reasonable to believe that aligning corporate practices with private habits will spare us to rethink the way we work, the way we do business? Can we seriously think that getting from silos to clusters will save us deeper organizational transformations? Yes, we have to set up business objectives to any collaborative initiatives, but we have to consider which new kind of objectives can be achieved through social business, and what it means for the future of business.

The poor performance of processes

Umair Haque recently stated that “Making Room for Reflection Is a Strategic Imperative“. This is a nice injunction, backed with lucid and thoughtful arguments, but can we just “stop doing”, in an environment where speed has become the very stuff of things? I don’t believe so, taking a break is no more an option, and what we really need instead is to think differently. Accelerated growth of available data requires new ways to acquire knowledge and put it into action. In such a situation, unlearning has become as important as learning.

As most of our knowledge is now stored outside of our memory, the challenge not only lies in matching real-world situations with experiences stored in our memory, but also in pairing those situations with the right external connections, in order to gain access to the relevant knowledge. Not only do we have to deal with data, in anything but routine thinking, but with people, and our cognitive process now encompasses our networks. Information retrieval, and learning, had become inherently hyper-connected.

From internal “social” initiatives (let us consider them as knowledge networks rather thantrue collaborative environments for demonstration purpose) to customers’ relationships, present process-based approach to business is broken. Business processes expect a deterministic output; they rely on repeatability and explicit workflows, which often proves itself far from the nature of human relationships. The cognitive process, instead, is a non-linear mechanism, able to make sense from disjointed information. Cognition doesn’t appeal for processes, but for patterns. Furthermore, processes suit perfectly machine-to-machine communication. Human-to-machine communication needs to take into account user experience, which hardly resumes to processes, and human-to-human communication is all about weak signals and pattern recognition.

Knowledge work is all about patterns

Venessa Miemis has written a great post about the importance of patterns recognition in the cognitive process. To quote her: “there are strong and weak signals all around us, patterns, which indicate a change has happened, is happening, or has the potential to happen”. Business processes work as long as nothing changes, or at least changes slowly, which happens less and less in present business environments. Dynamic patterns, instead, are emergent phenomena of complex systems. They are highly adaptive and relate not only to existing flows (whether they be knowledge, work, customer journey, etc.), but also to how these flows change over time. In other words, they can be harnessed as predictive tools as well as operational routines design. A simple change in an underlying process might translate into huge and fast modifications of related pattern. Looking at the way patterns change (sometimes dramatically) in our networks provides us critical clues on how to improve broken processes, or on when to seamlessly switch to another one.

Here is a short summary of dynamic patterns versus processes characteristics:

Processes Patterns
Linear Non-linear
Designed on purpose Emergent and self-organizing
Inside-out Mostly outside-in
Hard to change Highly adaptive
Need stability to perform Require instability to form
May cause formation or modification of a single pattern May emerge from multiple different processes

Patterns are already used in business context. Emergent practices leveraged from online communities are patterns. Ethnography, and many design thinking methods, invoke pattern recognition to decipher customers’ behavior. Social learning implies the use of patterns in knowledge acquisition. Dynamic patterns are much more adapted to knowledge work than business processes are.

As they can be broken down to processes, monitoring patterns’ evolution in networks represent a promising way to handle the exceptions crippling most of the processes in which human interaction is involved. Integrating pattern recognition into work might require dedicated competencies, but it also requires new approaches. Adaptive Case Managementis a promising framework to help dealing with knowledge flows rather than with processes, considered the fact that not only should we focus on information, but also on the way information, and connections to it, changes over time. Time has come, to understand that information is not only the blood of our networked organizations, but also their bones

 

"The real genius of organizations is the informal, impromptu, often inspired ways that real people solve real problems in ways that formal processes can’t anticipate. When you’re competing on knowledge, the name of the game is improvisation, not rote standardization."

John Seeley Brown

Throughout the last decade there have been numerous debates (see from the dates in the bibliography) and discussions on the future of learning.

The development of social technology has changed the way we think about the world and is also shaking up the way we approach learning. I am still dumbstruck to learn, however, that rarely have businesses really integrated all of these recent changes into their operations. How would you react if your R&D invested 80% of its budget into developing products or services that only reached a tiny part of the market?

Would you sign off on a marketing strategy that only went after 10% of your target market?

I don't think I need to wait for an answer to these sorts of questions. And yet, it doesn't surprise anyone to learn that there is a sector vital to the future of your company that applies these ratios.

The 70/20/10 model

After years of research, study and validation, Morgan McCall, Robert W. Eichinger and Michael M. Lombardo at Princeton's Center for Creative Leadership have developed a very sound learning model; the 70/20/10 model.

What does it say? That skill development and learning happens:

- 70% "on the job", meaning activity and experience;

- 20% through contact and interaction with others;

- 10% through formal training; be it classes, workshops or e-learning.

socialearning - 70-20-10 model

This will no doubt remind teachers somewhat of the well-known theme: Listen/Read/Do.

The Princeton team also showed that 90% of our knowledge is the result of informal learning.

Charles Jennings, who helped popularize the model, often asks his audience to think about their learning experiences and where they took place. He uses the simple example of a riding a bike. How did you learn? By reading a manual and taking an e-learning course, by practicing on an internet simulator? No. Like me, you learned through experience, by trying and failing and trying again.

Classic training that is separated from work leads to a marked forgetting curve. A large part of formal learning is heavy on content but light on interaction. Generally, we learn to know but not really to do. So in a changing environment, addressing interactions is crucial because it prepares us to face complex emerging problems. So rather than structuring the learning around the content, it needs to be structured around the creation of learning experiences.

Most of our knowledge comes from informal learning; a situation of permanent learning that requires being open to new situations and deep interaction with others. In a world where the employee's actual knowledge only solves 10% of their problems in the workplace (R. Kelley, Carnegie Mellon University, 2006), it's more efficient to develop learning environments that prioritize action and connection rather than content.

The Paradox of Investment

The Princeton model invites Training Departments to turn more towards informal learning; although there is an obvious paradox today as large portions of their budgets are still dedicated to formal training.

socialearning - paradoxe de la formation

For a lot of years, many people said they wanted to see formal training disappear, which would have to include LMS, responsible for much of the bloat.

Still, the majority of business training professionals are likely to embrace these changes even though they are unsure of their new role in the informal training environment. For many, it represents chaos: no pedagogy, no golden rule on how to manage it or how to validate the skills or knowledge acquired. This results in a cautious wait-and-see approach.

And while they wait?

The arrival of Generation Y, long-since announced, is flooding businesses and boardrooms; "young turks" with immediacy in their DNA who will seek out information rather than wait for it to be brought to them on a platter.

Clients, those funny creatures, have become over informed, unreliable. Count on the fact that they use the same community loudspeaker as soon as they feel that they aren't being listened to or answered quickly enough.

Meanwhile, marketing, client services, R&D... divisions that don't trouble themselves with knowing if their approaches can make it into the training budget, are more or less happy to go the 2.0 route. Their goal is to prioritize contacts and openness, to let go of cumbersome hierarchies, become more reactive, more receptive to their environment and, in the best cases, to improve the flow of knowledge. Enterprise Social Networks are thriving, often from the naive hope of spontaneously creating a learning organisation.

And the training department? It has decided to try e-learning. Too heavy? Not interactive enough? Blended-learning then. Too costly for fragmented structures? Always a step behind on your colleague’s problems? Not trendy enough? Ok, so add a slice of social to LMS, always the road to trendy. Or maybe gamify some traditional PowerPoint presentations and voila! Rather than create informal learning environments, training departments are making concrete situations virtual; while they make the creative process longer, explode production costs and are ever-increasing formality. Am I going too far? Barely...

What can be learned from the 70/20/10 model?

Rather than think of these three forms of antagonistic professionalism, rather than leave the informal to other aspects of the company, the model should be thought of as the cornerstone of organizational development. As the Princeton group advises, imagine a holistic approach integrating both formal and informal. An approach that enables strong development of that 70% of experience learning, that takes advantage of the relational 20% and that designs using the yardstick of the 90% informal and 10% formal training.

We have a term for this at Socialearning: Iterative learning; or how the informal feeds the formal and fills the well of Enterprise 2.0.

But that is a topic for the next article...

 

References:

Billet, Stephen Critiquing workplace learning discourses 2001

Boud, David & Middleton,Heather  Learning from others at work: communities of practice and informal learning 2003

Carré & Charbonnier Les apprentissages professionnels informels 2004

Cofer Informal workplace learning 2000

Dale & Bell  Informal working in the workplace 1999

Dominice, Pierre  Les apprentissages informels font partie de la formation 2000

Fuller, Alison The Impact of Informal Learning at Work on Business Productivity 2003

Lior, Karen   Tacit Skills, Informal Knowledge and Reflective Practice 2001

Livingstone, D  Exploring the Icebergs of Adult Learning 1999

Loogma, Kirsta The Meaning of Learning at Work in Adaptation to Work Changes 2004

Svensoon, Lennart & Ellstr_m, Per-Erik Integrating formal and informal learning at work 2004

 

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