Tuesday, 28 June 2016

Language Learning - an Exemplar of a 70:20:10 Approach?

Ancient_Khmer_script_Petr_Ruzicka_CC_by_2.0

Humans are an incredibly inquisitive and extremely social species. The characteristics that helped us reach our dominant position on planet earth are intimately linked with our search for understanding and our social nature. These also drive our learning patterns. And our ability to learn continuously the way we do has underpinned our success and our creativity throughout history.

We are all life-long learners. There is no doubt about that - even more so than we may imagine. Recent research has demonstrated that we not only learn from cradle to grave but that we were all learning even as babies in the womb, too.

And the first thing we were learning was language.

The Amazing Phenomenon of Language Learning

Children usually learn to speak their parents’ or social group’s native language relatively easily. The experts tell us that our brains are naturally ‘wired’ to assimilate sounds and create meaning. The more we’re exposed to words and sounds the more likely we are to absorb and remember them. So most children develop effective verbal communication skills early in life.

But language learning has some very specific characteristics, including the fact that we all started this aspect of our learning journeys not at birth, but before we were born.

In one piece of recent research into language learning carried out by professor Christine Moon at the Pacific Lutheran University, Washington State USA, and her colleagues in institutions in Sweden, the researchers tested the different responses of unborn babies to vowel sounds of their mothers’ native tongue and to those of other languages. The babies responded differently when they heard the vowels of their mother’s language spoken. The research demonstrated that “unborn babies have the capacity to learn and remember elementary sounds of their language from their mother during the last 10 weeks of pregnancy”.

Another research project by cognitive neuroscientist Eino Partanen at the University of Helsinki showed that babies retain memories of sounds they have heard before birth. Partanen and his team fitted newborn babies with EEG sensors to look for neural traces of memories from the womb. "Once we learn a sound, if it's repeated to us often enough, we form a memory of it, which is activated when we hear the sound again," he explained. This memory speeds up recognition of sounds in the learner's native language and can be detected as a pattern of brain waves, even in a sleeping baby.

So what do these extraordinary insights, and others like them, tell us about learning in general?

Language Learning and 70:20:10

'RIP Steve Jobs' by Alec Couros. Licenced under CC BY-NC-SA 2.0All of the above research reinforces the fact that language learning seems to be an exemplar of the 70:20:10 approach.

Learning to speak a language is a continuous process and not just as part of a series of structured learning ‘events’. This becomes apparent if ever you’ve joined a language class as an adult. Without a lot of work outside the classroom you’ll never gain proficiency.

We learn language primarily through social interaction and experimenting (the ‘20’ and ‘70’).  Language learning is also integrally entwined in everyday living. We learn because it’s natural for humans to want to get better and to hone our skills. As Daniel Pink observed in his book ‘Drive: The Surprising Truth About What Motivates Us’, humans are ‘purpose machines’.

In all other respects, apart from its extremely early starting point, learning a language is very much like learning almost anything else. We do it to address a need. We achieve our learning through exposure to new experiences (sounds and other stimuli in the case of language learning), through taking every opportunity we can to practice (just observe a baby’s efforts to learn), through learning together with others (our parents,siblings and friends in the case of language learning), and by using reflective practice smartly.

Added to these fundamental principles there are some others that come into play. We have to possess a need and desire to learn (the ‘drive’).  And we need to understand the consequences of not learning. If you’ve ever found yourself in a foreign town or city you’ll know the consequences of not learning even some basic vocabulary. So we stretch ourselves and, where necessary, draw on help and look for resources to enable us to communicate better.  Morgan McCall (who’s 1988 book with Michael Lombardo and Ann Morrison ‘The Lessons of Experience: How Successful Executives Develop On The Job’ explored the ‘70’ and ‘20’ elements of learning) explained these principles clearly in this 3-minute video clip.

Starting with the ‘70’ and ‘20

The 70:20:10 framework helps extend our focus on where and how learning occurs. It isn’t a new interface for traditional training, nor a new learning theory. It is a reference model that describes the way people tend to learn.

One of the key elements of 70:20:10 is the principal that the learning which is most likely to be effective, and the learning that lasts, is the learning that occurs closest to the point of use. This is a simple principle, but a challenging one for many L&D professionals.

If we think about language learning, it is almost inconceivable that someone could learn a language without using it extensively (the ’70’) as part of the learning process and also continually learning from others who use it around them (the ‘20’). Of course some structured learning (the ‘10’) is extremely helpful to get started and also to provide some guidance along the way, but structured training in language learning, or in any other domain, will not alone produce high performance. 

High performance in language ability and in other fields is almost invariably associated with five common characteristics.

Five Characteristics of High Performers

High performers are often fast learners. They usually display the following characteristics:

1. They tend to quickly master the basics. Usually, but not always, using some structured support.  (this is the ‘10’ part)

2. High performers have usually spent hundreds of hours in practice, with trial-and-error, and often self-testing to hone their new abilities. Again, this is often in a structured way (the ’10’), but also through self-directed activities and with colleagues, coaches or using technology to provide feedback and guidance (this is the ‘70’ and ‘20’).

3. High performers are invariably embedded in their professional communities both within and outside their organisation. They regularly share their expertise across their network and also call on others when they need advice and help. (this is part of the ‘20’)

4. High performers will have on-the-job performance support at fingertips. They know where to find the answers to the challenges-at-hand, whether the solution comes via their own PKM (personal knowledge mastery) systems, workplace resources, other tools and systems (the ‘70’) or simply by knowing who will be best able to help them (the ‘20’). 

5. All high performers will have been exposed to many hours of experience, practice and reflection, sometimes alone, sometimes with their manager and team, and sometimes with their professional network (more ‘70’ and ‘20’ learning)

The Right Mindset

High performance also goes hand-in-hand with growth and development mindsets. The belief that learning is an important part of everything we do is a critical element in reaching high performance.

Having a mindset that focuses on striving to do better, whether it’s in language learning or any other endeavour, is critical to achieve mastery and, especially, maintain it.

Images:  Ancient Khmer Script. Petr Ruzick. CC by 2.0 https://www.flickr.com/photos/80808717@N00/538287056
              'RIP Steve Jobs' by Alec Couros. Licenced under CC BY-NC-SA 2.0

Friday, 3 June 2016

The Driving Test: the canary in the mine for formal training?

 

702010-towards-100-percent-performanceThe first chapter of ‘70:20:10 towards 100% performance’ (the recent book by Arets, Jennings & Heijnen) is titled ‘the training bubble’. It takes a quick look at the history, the lure, and some of the problems that have been brought about by thinking only in the formal training paradigm rather than in the performance paradigm.

The training bubble chapter starts by discussing our reliance on formal driver education and successful completion of a driving test as measures to ensure drivers are equipped to safely navigate our various nations’ roads.

Most countries have driver education and driving tests and, without exception, the assumption is that by requiring new drivers to undertake a formal education programme and the written and practical tests the probability of them having accidents will be lowered.  

Formal Driver Education Does Not Reduce Accidents

However evidence suggests that formal driver education does not significantly reduce the risk of accidents when compared to learning in other ways, such as under the supervision and guidance of a usually older non-professional driver.

Willem Vlakveld, a psychologist and senior researcher at the Institute of Road Safety Research in the Netherlands has shown that not only does formal driver education not reduce accidents, but that intensive driver education (where new drivers undertake day-long consecutive driving lessons) is likely to lead to an even higher level of accidents in the first two years of driving when compared to more traditional, spaced, lessons.

In another research paper, Vlakveld reported that driving simulators may speed up skills acquisition, but will not help make novice drivers safer. In other words, simulations of real situations might help, but not necessarily in the way we might expect.

The Existing Driver Education Market is Going Nowhere, Fast

China driving simulationDespite the research, the formal driver education market is vast, and still growing.  I read an article in the 19-20 March 2016 edition of China Daily while in that country. The China Daily article reported (on the basis of data obtained from the Ministry for Public Scrutiny) that China now has more than 300 million drivers, the highest in the world. It also estimated that this number will increase by 20 million each year in the foreseeable future.

The article went on to report that this will create a training market worth more than 100 billion yuan (US$15.45 billion). Already technology is being used to help ramp-up the formal driver training industry boom (the photo on the right is illustrative of this).

The question this raises is ‘why would we encourage the development of a training industry using methods that have been shown to be ineffective in the past?’

Haven’t we, as professionals in the field of human learning and performance, learned anything ourselves?

I feel there is a fundamental lesson here for Learning and Development approaches generally.

Learning to drive a car is similar to many other skills acquisition processes. We develop capability through experience, practice, and reflection (individual and shared) over time. Often this capability-building is carried out with others. At other times it is done alone. Sometimes we may be able to increase the speed of acquisition of skills, but simply making formal education experiences more compressed or concatenated or more ‘sexy’ with technology won’t necessarily improve outcomes. Formal education and testing isn’t the key to improving performance. It’s the ‘70’ and ‘20’ learning – learning in context with plenty of practice – that that has most impact.

There are two elements that must be present when we need to improve our performance at achieving almost anything. First we must have the need and the desire to learn. And then we must spend plenty of time immersed in the environment where we are going to use our new skills and capabilities. Learning has its greatest impact the closer to the point of use it happens.

For driving motor cars, the first element is rapidly disappearing as technology overtakes the 20th century motor car, and the second – formal driver education - has been proven to be often ineffectual at helping reach the desired goal (driving safely).

The Very Short Lifespan of the Driving Test

A very short history of the driving test can teach us some lessons about the way we need to change and adapt to new conditions and to the evidence from research.

The driving test provides a ‘rite of passage’. Once a new driver completes the formal education and passes the test, the road is theirs. This is similar to almost any other formal education/test process, whether it’s an Microsoft MCSE or a Cisco CCNA technical ‘badge’ or a DMS or MBA business ‘badge’.

Yet in many ways the driving licence as we know it – a ‘badge’ received for scoring a ‘pass’ in the driving test - is fast becoming an artefact from a bygone era, even though it seems to have been with us forever.

In fact, the driving test in most countries is only a relatively recent development.

imageKarl Benz, the inventor of the modern automobile, needed written permission to operate his car on public roads in 1888. This was a licence of sorts, but there was no test. 

Compulsory driving testing was only formally introduced in the United Kingdom in 1934 (the first country to do so).

My father’s driving licence of July 1931 (here on the left) wouldn’t have required a test and I know my mother was never required to take a driving test throughout her life.

Some countries, such as Belgium, allowed people to drive without a test until relatively recently. In Belgium the driving test was only introduced in 1977. The Egyptian driving test until recently required the new driver to move just 6 metres forwards and backwards. The test is now more slightly challenging- drivers need to answer 10 questions (and get 8 correct) and negotiate a short S-shaped track.

As the driving test was gradually introduced across the world it was believed that formal driver education and the driving test reduced automobile-related deaths. That was the prime rationale.

We now know that’s not necessarily the case. Vlakveld and others burst that bubble some time ago. Yet we still persist.

In other words this formal training and test model is built on sand.  Even though the authorities want to believe it has a positive impact, the research suggests it doesn’t.

Of course this is no reason to dismiss all formal training and testing out-of-hand. However, it should make us question our assumptions that formal training and testing (whether classroom-based or through eLearning) will change behaviour and build high performance. To build or even maintain our performance we need to continuously use our new-found skills. That’s obvious. It also helps if we are continually aware of the changes occurring around us and we have the ability to adapt to changing conditions.

In other words, we need continuous practice to build and maintain performance in any domain. And that practice needs to be ‘match practice’.

Match Fitness

Serena‘Match fitness’ is a well-known phenomenon. 

No matter how good your training (or your driver education) you need time to use your skills and capabilities in the flow of work (or on the playing field) before you can perform even adequately, let alone exceptionally. Performance is highly context sensitive. How many of us have shown we can deliver a great tennis serve or hit a long golf shot on the practice court or course, or deliver a compelling speech, only to make a hash of things once we step into a competitive game or onto a stage in front of hundreds of people?

And how many of us, on first passing our driving test , were disappointed that a parent refused to let us borrow their car because they thought we needed ‘more time to practice’. We’d passed the test, for goodness sake!!

Ted Gannan, the CEO of a performance support company in Australia has explained the need to regularly apply skills in the workplace in this short ‘match fitness’ article. It’s worth a read.

The Distance Between Passing the Test and High Performance

The distance between formal driver education, passing the test, and high performance behind the wheel is often a huge one. And mastery doesn’t come without time and experience in context.  In our daily work we also need ‘match fitness’ in order to perform at our best.  We tend to forget that fact. Tests and simulations aren’t suitable proxies. Formal training may sometimes be needed, but it’s never enough.

The End of the Driver Education Industry

Car or COmputerThere is another factor that’s driving the demise of the formal driver education industry. This could also serve as a lesson for us in other formal training endeavours.

It’s likely that the current generation of prospective drivers enrolling on their driving courses will be the last.

Motor cars are becoming more like computers. The human-motor car interface is changing. Hands-free,voice-enabled interaction is becoming commonplace.  Transport, like many other aspects of our life, is being re-imagined. The skills we needed in the past are no longer needed, or being replaced with the need for new sets of skills.

According to KPMG auto industry experts, the driverless car is analogous to the smartphone. KPMG predicts huge growth in autonomous cars and an increase not just in general usage but also in the nature of use. ‘Uber without a driver’ services and other innovations are getting ready to come on-stream. Some of it is already happening.

In a few short years we’ve come from some basic performance support in our cars – cruise control, electronic stability, park assist (1990s); through to the Tesla Autopilot, GM Super Cruise, and the Google Car (2010s); and we know that full self-Driving Automation is not far off.

Google CarIs the formal driver education industry adapting and preparing for these dramatic changes? 

The answer to this is question is ‘not much, if at all’.

Learner drivers still receive similar types of instruction to that delivered 50 years ago. The industry has changed very little apart from  the increased use of technology in the form of simulators. 

All this sounds like many other areas of formal education and training.  Methods have not changed much. Some technology may have been introduced to make the process ‘more interesting’ or to allow scaling, but overall the out-of-context way we design and deliver most training is still the dominant approach.

All this despite the fact we know that continuous learning in the context of the workflow is almost always the best way to develop proficiency and build high performance. We know that formal education in many areas of enterprise does not have the impact we desire or expect. It’s not just in driver education. It’s in almost every sphere of activity.  We need to think and act in new ways if we’re not to follow formal driver education down the carbon monoxide mine-shaft.

There is an answer to this conundrum. We need to bring learning and working together, not use one as a proxy for the other.

To learn more about developing approaches that exploit the ‘70’ and ‘20’ – learning as part of working – read the book ‘70:20:10 towards 100% performance’ or visit the 70:20:10 Institute website

References:
70:20:10 towards 100% performance (2015). Arets, Jennings & Heijnen. Sutler Media
Hazard Anticipation of Young Novice Drivers (2011). Willem Pieter Vlakveld https://www.swov.nl/rapport/Proefschriften/Willem_Vlakveld.pdf
2016 Internet Trends (2016). Mary Meeker. http://www.slideshare.net/kleinerperkins/2016-internet-trends-report

Sunday, 3 January 2016

From Courses to Campaigns : using the 70:20:10 approach

imageOne of the major strategic objectives for many HR and L&D departments in 2016 and beyond will be to extend their focus and services beyond courses and out into the workplace.

There are many reasons why this objective makes good sense.

Firstly, we know that learning is a powerful and continuous process that occurs daily at work and throughout life. Courses may help with the basics, or to refresh our knowledge, but courses alone won’t deliver high performance. Other activities in the workplace – such as challenging experiences, opportunities to practice in ‘real’ situations, support, advice and guidance from colleagues, and reflection, are all more important than courses in helping do that. If we put all our effort and resource only into designing, developing and delivering courses we may be helping people to some extent, but we’re only supporting one aspect of organisational learning and performance improvement.

Secondly, we also know that context is vital for effective learning. Learning is more powerful and more likely to result in behaviour change when the learning context and the working context are identical. In other words, results are improved when ‘work is learning and learning is the work’ as Harold Jarche has pointed out many times. We almost invariable learn best by ‘doing’ in the context of our work. The next best option is where the learning context very closely represents the work environment where new capabilities are to be applied. That’s why there is such huge investment in immersive simulators for training by the military, the aviation industry, the nuclear industry, for space programmes, and an increasing number of other industries. It’s cheaper and more practical to learn how drive a tank, land an aircraft or space vehicle, or manage a nuclear power plant safely in a simulator than risk the cost and damage of making errors in the real thing.

Thirdly, learning is invariably more impactful when we solve real problems and find real solutions ourselves. Business education has understood this fact for years, but rather than designing ways that allow experienced business school professors to support and mentor managers to solve their own real problems in their own context, most use a proxy called the case method. The Harvard case-study method was designed to allow emerging leaders opportunities to develop through the analysis of real organisations’ real problems. A good idea, but not the students’ own organisations or their organisations’ own problems. The resulting point of failure with the case method is that it often leads to superficial analysis with little or no understanding of the deeper, personal context. Henry Mintzberg of McGill University, and a renowned academic and author on business and management, has been challenging the ‘proxy’ learning via the case method for many years:

“The most obvious example, I think, of where it goes wrong is in the case-study method: give me 20 pages and an evening to think about it and I'll give you the decision tomorrow morning. It trains people to provide the most superficial response to problems, over and over again getting the data in a nice, neat, packaged form and then making decisions on that basis. It encourages managers to be disconnected from the people they're managing”1.

Looking across the entire landscape of organisational learning and development, we see similar proxies to the case method being used. Virtually all of them are wrapped up in an ‘event’ concept – often called the course, workshop, programme (or program), module etc. They are constructs which are based on the concept that experts are best placed to tell people what they need to learn, how they need to learn it and when they need to learn it2

Jane Hart in her recent article 2016: Rethinking workplace learning points out that this approach is really ‘workplace training’, and that although it may help, it is only one (small) part of the larger process of workplace learning. Another term for ‘workplace training’ is adding learning to work. Adding learning to work is only one way learning and work can be integrated. Adding learning to work is still learning focused (which makes it an obvious first step for L&D professionals). Adding learning is certainly better that removing learning entirely from work, but it is only one step towards integrated learning and working.

Beyond the ‘adding’ step there are others; embedding learning in work (through approaches such as performance support, checklists, FAQs and many other methods); extracting learning from work (through reflection, learning logs, work narration, personal micro-blogging and many other methods); and sharing learning with work colleagues (through ‘working out loud’, ‘showing your work’ – see Jane Bozarth’s great book of the same name, storytelling, team reviews and many other methods).

[extending%2520learning%255B4%255D.png]

In her article Jane Hart also hits on one of the major change factors necessary to enable the objective of extending learning beyond the course and into daily workflow – the right mindset.

Beyond the Course Mindset

The ‘course mindset’ is a sometimes a difficult one to cast off. The default solution (a course or programme) to address human performance problems is deeply embedded in most HR and learning professionals’ psyche and also our own development experiences. We’ve all been through courses at school and college, on programmes at university and in our workplace. Why should there be better ways?

There often are better ways. But they require a different way of thinking in order to define the best solutions, and different approaches to implement them. This is why it is better to approach performance challenges with a campaign mindset than a course mindset.

  • In the course mindset, the output is seen as ‘learning’. In the campaign mindset, the output is improved performance – organisational performance, team performance, and individual performance.
  • In the course mindset, we start with an analysis of the training need. In the campaign mindset we start by understanding the business or organisational problem, the associated performance problems and the root causes of each.
  • In the course mindset we then undertake course design. In the campaign mindset we then analyse the problems, identify the desired changes and identify potential ‘70’, ‘20’ and ‘10’ solutions.
  • In the course mindset we develop our solution for individuals and, sometimes, for teams. In the campaign mindset we develop solutions with organisational performance in mind.
  • In the course mindset we focus on aligning learning with work. In the campaign mindset we work to embed learning in work, and enhance extracting and sharing learning from work as well.
  • In the course mindset, we’re principally input focused. In the campaign mindset, we’re absolutely output focused.

Finally, in the course mindset we tend to only produce ‘10’ solutions. These are structured learning solutions that sits within the ‘10’ part of the 70:20:10 model. In the campaign mindset, we produce ‘100’ solutions. These are solutions that draw on the ‘70’, ‘20’ and the ‘10’ aspects of 70:20:10.

My previous article ‘Start with the 70. Plan for the 100’ explains why the ‘70’ and ‘20’ aspects are likely to provide the greatest value. That’s where HR and L&D departments need to be focusing if they’re to extend their focus and services beyond courses and out into the workplace and therefore increase the impact of their work.

My friend Lars Hyland has also written about moving from courses to campaigns.  An article by Lars in 2009, titled ‘Get Real: Mission Critical E-Learning’, published in the UK Learning Technologies magazine, stressed the need for ‘joined-up’ working between the typically disconnected internal functions of Internal Communications, Training, and Performance Management. In that article Lars stressed  the following point: “Thinking end to end means adopting "campaign" rather than "course" led programmes designed to effect real changes in attitudes, behaviour and performance” as part of his AGILE approach. This is very much in line with the approach I am recommending here. 

Tools to Get There

The recent book by Arets, Jennings and Heijnan ‘70:20:10 towards 100% performance’ explains in detail how organisations can make this move from courses to campaigns by using the 70:20:10 approach, and architect effective solutions with the ‘100’ in mind.

In this book we’ve defined a new set of roles that need to be fulfilled and tasks that need to be completed to make the change. Each of the roles is focused on outputs – performance - and the tasks are, in many cases, very different to the tasks carried out in most L&D departments today. In fact, some of the roles and tasks are not specifically linked to L&D and may (or will) sit in other parts of the organisation.

We’ve also designed and are launching an Expert Programme to help organisations exploit the 70:20:10 approach more effectively. Details of the programme are here together with downloadable brochure with details and feedback from previous participants. The programme will be launched globally early in 2016.

image

Roles in the new world of 70:20:10

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1 The Economist: An interview with Henry Mintzberg http://www.economist.com/node/850703

2. Jane Hart 2016: Rethinking workplace learning http://www.c4lpt.co.uk/blog/2016/01/02/2016-rethinking-workplace-learning/

Sunday, 6 December 2015

Start with the 70. Plan for the 100.

702010-towards-100-percent-performanceThis article draws on ideas and supporting material from a new book published for the first time in English last week. 

702010 towards 100% performance
by Jos Arets, Charles Jennings & Vivian Heijnen

Copyright: Sutler Media
Language: English
Pages: 313
Size: 30.5cm x 23.5 cm (12 X 9.25 inches)

It provides the first comprehensive and practical guidance for supporting the 70:20:10 model.

BUY THE BOOK: www.702010institute.com

The book is divided into 100 numbered sections across 313 pages in ‘coffee table’ format. Just eight of these sections are devoted to the problems. The other 92 provide solutions.

    • Full explanations of how the 70:20:10 approach can be used to help overcome the ‘training bubble’

    • Descriptions of five new performance-focused roles to support the use of 70:2010

    • The detailed tasks that need to be executed in each of these roles. Task lists, models, guidelines.

    • Checklists to rate your own organisation’s ability to deliver the critical tasks supporting 70:20:10

    • Nine ‘cameos’ written by leading thinkers and practitioners including Dennis Mankin (Platinum Performance), Nigel Harrison (Performance Consulting), Clark Quinn (Quinnovation), Jane Hart (Centre for Learning & Performance Technologies), Bob Mosher (APPLY Synergies), Jack Tabak (Chief Learning Officer, Royal Dutch Shell), Jane Bozarth (US Government) and others.

    • 12 page bibliography with a wealth of references to supporting papers, books, articles, case studies and other material.

 

Start with the 70. Plan for the 100.

Extending Learning into the Workflow

Many Learning & Development leaders are using the 70:20:10 model to help them re-position their focus for building and supporting performance across their organisations. They are finding it helps them extend the focus on learning out into the workflow.

The 70, 20 and 10 categories refer to different ways people learn and acquire the habits of high performance. ‘70’ activities are centred on experiential learning and learning through support in the workplace; ‘20’ solutions are centred on social learning and learning through others; and ‘10’ solutions are centred on structured or formal learning.

  • 10 solutions include training and development courses and programmes, eLearning modules and reading.
  • 20 solutions include sharing and collaboration, co-operation, feedback, coaching and mentoring.
  • 70 solutions include near real-time support, information sources, challenges and situational learning.

Traditionally, L&D has been responsible for services in the ‘10’, and sometimes for more structured elements in the ‘20’ (such as coaching and mentoring programmes). 

The ‘10’ has primarily involved designing, developing and implementing structured training and development interventions. When done well, these ‘10’ interventions can successfully help to build performance. However, learning which occurs closer to the time and place where it is to be used has a greater chance of being turned into action and result in performance improvement.

The closer learning is to work, usually the better.

In other words, 10 solutions are likely to have less business impact and provide less value than the 70 and 20 solutions in the long run.

Increasing the Value of Learning

That’s an important point worth repeating. As learning is highly contextual, and improved performance is the critical desired outcome, the closer learning occurs to the point of use then the greater is it’s likely impact.

This point is illustrated in the diagram below. This is taken from the 702010 Towards 100 Percent Performance book. As you move from the 10 and closer to the workflow (where most of the 20 and 70 happen) the potential for impact and realised value increases.

Fig 2.3

This aligns with the model developed by IBM Consulting Services some years ago (see below) developed to explain the evolution of learning and increased value of on-demand services aligned with current and future business needs.

IBM Core Model

The IBM model suggests three phases – access, integration, and on-demand. As learning moves from being separate from work, through enabling work, to being embedded in work the realised value potential increases.

De Grip (2015)[1], along with a number of other academic researchers, have also observed that informal learning – mostly 20 and 70 activities - is much more important than formal training when it comes to developing people in organisations.

Start With the 70

As learning is likely to be most effective when it occurs nearest the time and place of use, then it is best to always start with the 70 when developing solutions to address performance problems.

This may seem counter-intuitive to many L&D professionals.

In the past we’ve usually started with the ‘10’. We identified a performance challenge (often presented as a ‘training problem’) and then decided whether the solution should be face-to-face or digital. In other words, do we develop class/workshop or eLearning.

This simple binary option approach will not deliver optimum value. Selection of the ‘channel’ is made only from ‘10’ options. ‘70’ and ‘20’ options tend to be ignored.

The 70:20:10 approach recommends that solution design should start with options that are most likely to produce fast and efficient results, and those that are most likely to realise the greatest value. These are the solutions that are integrated into the workflow – the 70 and 20 solutions.

This recommendation is supported by a number of findings including those recently reported in a paper titled ‘The Secret Learning Life of UK Managers’.

‘The Secret Learning Life of UK Managers’
GoodPractice and Comres
November 2015

This report found that, for managers at least, the two key factors that most influence how people in work choose to learn are:

[a] ease of access, and;
[b] speed of result.

The research for this report was based on 500 interviews with managers carried out by Comres[2], a specialist polling and data gathering/analysis organisation.

The principal finding of this study was:

“How effective a learning option is perceived to be is much less important than how accessible it is and how quickly it produces a result. This applies across all approaches, whether online or offline.”

Plan for the 100

The key for effective 70:20:10 design is to plan for the 100.

What this means is that any solution is likely to comprise a variety of parts; some 70, some 20, and some 10.

It is important to avoid solutioneering within the 10 at the outset. As such, it is important to design with both the result in mind and with the ‘100’ in mind. This immediately extends both thinking and practice beyond the 10.

In other words, it is critical to maintain a clear focus on the desired performance outputs and, at the same time, use the principle of designing a total solution – incorporating 70, 20, and 10 elements as needed (and in this order).

Starting with the 70 and designing for the 100 is a good mantra to adopt if we are looking to deliver effective learning solutions.

 

Visit the 70:20:10 Institute site at www.702010institute.com


[1] De Grip, A. (2015). The importance of informal learning at work. On: http://wol.iza.org/articles/importance-of-informal-learning-at-work-1.pdf.

[2] http://www.comres.co.uk/

Friday, 13 November 2015

JAY CROSS – Pushing the Envelope to the End

Jay_1

 

 

“It all boils down to learning, but not the sort of learning you experienced at school. No, this is learning as a life skill. You’re learning all the time, taking in new information and making sense of it. You learn from experience, from conversations with peers, and from the school of hard knocks. You’re in charge of it, not a teacher or institution.”

(extract from the first draft of Real Learning, the book Jay was working on when he died on Friday 6 November 2015)

 

 


 

 

Jay Cross driving a 1904 Pope Tribune,Beaulieu Motor Museum June 2010

Jay’s premature death last week at the age of 71 has brought forward an enormous number of tributes from people whose lives he touched in so many ways.

David Kelly, amongst others, has done a wonderful job in gathering many of the remembrances of Jay that have been written over the past week.

Our Internet Time Alliance colleagues Jane Hart, Harold Jarche and Clark Quinn have each written poignant tributes. Jane has also done a great job curating Twitter condolences. For each of us, as for many, Jay’s loss is a deep personal and professional one.  He brought us together in 2009. He thought there were synergies (there were) and that we’d all get on well (we did).

Jay’s contribution to the field of organisational learning was huge. He made us think hard about the edges of our profession. When many were fretting about perfecting the irrelevant with better classroom courses Jay was pulling us into the emerging world of eLearning. When most were still focused on integrating eLearning into courses and curricula Jay was shouting that the real power wasn’t in structured learning at all but in workplace and in informal and social learning approaches.

The analysis he carried out for his 2006 Informal Learning book says it all. He called the focus on formal learning ‘absurd’. He was like that, never backward in saying it exactly as he saw it.

clip_image002

Jay didn’t come to informal learning by happenchance. He had studied and admired Ivan Illich and Illich’s views on the straightjacket of schooling for years. He’d also absorbed the thinking and writing of many other important contributors to the field of learning (he was fond of quoting the work of Kurt Lewin and Bluma Zeigarnik amongst many others).

clip_image004

Jay aligned himself with Illich whenever the opportunity arose:

“Together we have come to realize that for most men the right to learn is curtailed by the obligation to attend school”

Jay was a renaissance man. Deeply knowledgeable and widely read on many fronts, he saw a better way for people to learn and achieve their potential. He wrote about the importance of happiness and helping people to use learning to lead fulfilled lives. He was passionate about making a difference.

A quick look at Jay’s contributions to the field over the years uncovers a deeply humanist view of the world.

“My calling is to make people happy. They deserve more fulfilling, satisfied lives” https://about.me/jaycross

“When I look out 10 years, I see businesses prospering by treating people like people. Trusting people changes EVERYTHING.http://www.scoop.it/u/jay-cross

“The Real Learning Project aims to help millions of people learn to learn, increase their intelligence, and realize their life goals.” http://www.internettime.com

Jay could be direct, challenging and didn’t take prisoners. He often rattled and got under people’s skins, but never just for the sake of it. His underlying desire was to make the world a better place and improve the way we go about helping people learn and, subsequently, achieve that aim.

Jay Cross was great fun to be around. Obsessive (I once introduced him to a song by the fine British musician Richard Thomson. He told me he played it on continual loop for 4 solid days), and restless, he was continually generating new ideas and throwing them out to whoever was in talking distance or on the end of an email. He could be enthralling, mischievous and frustrating at the same time. My wife described having Jay to stay as being “like having a clever, over-excited child in the house”. Ideas and action bounced off every wall. He was also never without a camera close at hand to act as his ‘external memory’. His Flickr stream contains thousands of photos. Jay was like that, he shared everything.

Jay - LMSJay and ClarkGuinness Brewery, Dublin July 2010ITA
Jay was fun to be around

Above all, Jay provided a beacon to light the way to new and better approaches for creating high performing organisations. It is terribly sad that he died at a time when only the beginnings of the transformation he championed are starting to appear. He also lived his credo that ‘conversation is the best learning technology ever invented’.

Jay’s premature death is a huge loss to his family and close friends, and also to the many people he and his ideas touched across the world. It has taken one of the true original thinkers from us at a time when we most need him.

I have no doubt that Jay would want others to continue to build on his ideas and work. He was like that, generous and sharing. It was an absolute privilege and pleasure to have been one among his many friends.

Jay_3

 

 

So, farewell, Jay Cross. You’ve left the world a much better place. Your ideas and work have helped push the boundaries. You showed the way and helped us ‘keep it on the road’.

 

 

11th November 2015

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Thursday, 27 August 2015

70:20:10 Primer

I have often been asked to explain the fundamentals of 70:20:10 as a strategic framework quickly and simply.

I wrote the one-page ‘primer’ below to serve that immediate purpose. Please feel free to use it for any non-commercial purposes. It is published here under the Creative Commons: Attribution – Non-Commercial – Share Alike Licence (CC BY-NC-SA 2.0 UK).

If you are looking for a more detailed resource, see below the Primer.

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Primer
What is 70:20:10?

70:20:10 is a reference model or framework that helps organisations extend their focus on learning and development beyond the classroom and course-based eLearning to build more resilient workforces and create cultures of continuous learning.

70:20:10 isn’t a ‘rule’. The model simply describes learning as it naturally happens and then offers means to accelerate and support that learning:

  • as part of the daily workflow;
  • through working and sharing with colleagues and experts;
  • through structured development activities.

Why the Numbers?

Although the 70:20:10 model is primarily a change agent, the numbers serve as a useful reminder that most learning occurs in the workplace rather than in formal learning situations. It also stresses that learning is highly context dependent. However, don’t make the mistake of quoting the numbers as a mantra or as fixed percentages. Research over the past 40 years has shown that informal and workplace learning is increasingly pervasive and central to learning in organisations. Studies have produced varying figures of the amount learned in these ways[1]. Each organisational culture will display its own profile of workplace, social and structured development opportunities, and the distinctions between the ways of learning often blur.

It is important not to put the three elements in the 70:20:10 model into separate ‘boxes’ in practice. They are interdependent. For instance coaching, mentoring and courses work best when they support on-the-job development[2].

Re-thinking Learning

With its emphasis on learning through experience and with others, the 70:20:10 framework helps extend the understanding of what learning means within organisations. It also moves us from ‘know-what’ learning towards more effective ‘know-how’ learning.

In summary, 70:20:10 helps change mindsets and learning practices.


[1] 70% (Tough, 1971, 1979); 70% (Bruce, Aring, and Brand, 1998); 62% (Zemke, 1985 and Verespej, 1998); 70% (Vader, 1998); 85-90% (Raybold, 2000); 70% (Dobbs, 2000); 75% (Lloyd, 2000)

[2] McCall, 2010

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For More Detail

For some time I have been working with two friends and co-authors on a practical book titled ‘702010 Towards 100% Performance’. This book delves deep into implementing 70:20:10 as a strategic L&D tool and defines new L&D roles and tasks to support the process.

The book is large and comprehensive (300+ pages in ‘coffee table’ format and weighing in at around 4lb/1.8kg!). It provides detailed guidance, lots of checklists, tools and process support resources as well as insightful contributions from leading experts.  It was published in Dutch in June 2015. The English version will be available in November 2015.

Book Cover1     IMG_4456

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2015 Top Tools for Learning

top100Jane Hart’s 9th Annual ‘Top Tools for Learning’ Survey closes on Friday 19th September 2015 and will be published the following Monday.

If you haven’t already voted, please take a visit here and do so if you’re reading this before the close date.  If it’s too late, make sure you’ve marked up the action to contribute to next year’s survey.

My list of top tools for learning in 2015:

  1. Google Search: ‘Professor Google’ is he is known in my house. Like the brains of many professors, the information you’re looking for is usually in there somewhere, but sometimes difficult to pin down. However, Google has provided a public searchable store of enormous magnitude – larger than anything seen before in humankind history – and is without doubt the most used learning tool by many, if not all, of us. We can barely imagine life without Google Search.
  2. Twitter: I have learned more in my professional life through Twitter in the past six-and-a-half years than in the previous 30 years. For me Twitter gives access to smart people who provide an enormous wealth of information and insight through their commentary and links to research, articles and other resources. Twitter is the first tool/resource I access every day – even before I turn to see the sports results!
  3. Evernote: Tools for managing the tidal wave of information we are all subjected to are an absolute necessity. If we’re not to drown under uncategorised information overload, and if we’re to reduce the time we spend trying to find the ‘right stuff’ at the right time we need tools like Evernote.  It’s certainly a tool that works for me. Evernote is the frontal lobe of my ‘external brain’ (where Google Search is probably the rest of my digital cerebral cortex). Evernote is on all my devices and I use it every time I want to save an interesting ‘snippet’ that I may want to access and use in future.
  4. Dropbox: This tool lowers my blood pressure better than tablets ever could. It has removed the fear of losing everything if a hard disk crashes or a backup fails. It also allows me to collaborate and share files and resources with others – whether they are colleagues and translators working on the English version of the new ‘70:20:10, Towards 100% Performance’ book we’re just finishing, or clients who want to co-ordinate materials for a masterclass. Dropbox has also removed the embarrassment of arriving somewhere far-flung from home to find the workshop materials or keynote slides are still sitting on the office computer or on a memory stick that’s fallen under the bed in my hotel room. As a learning tool, Dropbox is the school satchel – keeping everything organised, safe and dry.
  5. Skype: Skype offers the magic of essentially free multimedia global communication and learning. 25 years ago the Boston Consulting Group was predicting a future of virtually free telecommunications. That prediction came true much sooner than BCG thought it would. Of course Skype has glitches and issues, and its new owner Microsoft is trying to extract value from users, but with a decent broadband connection Skype offers the real-time and asynchronous communications we could have only dreamed about 25 years ago.  Together with my colleagues in the Internet Time Alliance, we use Skype as our principal digital ‘glue’ to share and learn in a continuous flow.
  6. YouTube: YouTube is the digital ‘master’ I turn to when I’m trying to do something new and need guidance. YouTube is my ‘20’ support to help me learn through the ‘70’. Whether it’s discovering how to use some function in Excel or how to fix a laser printer, YouTube invariably offers help and guidance. YouTube is also the wonderful conduit for sharing expertise in other ways, whether it’s through TED Talks or hundreds of other video resources.  It’s pretty helpful when I’m trying to improve my musical skills, too.
  7. Google Scholar: When I’m researching something, Google Scholar is the first port-of-call. A quick search for ‘workplace learning’ on Google Scholar returns almost one-and-a-half million results in less than a tenth of a second. Then that’s the day gone as I sift through relevant papers and find myself ordering books and diving off in all directions, reading and learning as I go. Google Scholar provides the library index and stack we could only dream about 40 years ago.
  8. LinkedIn: Gone are the days of trying to keep track of people in Microsoft Outlook or some other contacts list. LinkedIn does that job well. But LinkedIn is much more than just an online contacts list. It provides a stream of updates from people I know and groups I’ve joined. LinkedIn allows for deep discussions with other professionals – always a great learning opportunity. I’m a member of far too many LinkedIn groups. The Harvard Business Review group discussions alone could probably occupy all of my time.
  9. PowerPoint: Although PowerPoint’s linear nature is often restricting, I’ve never found Prezi or other tools as robust and flexible. PowerPoint is the useful ‘Swiss army knife’ in the toolbox for assembling presentations and creating simple flow diagrams and graphics. It handles the integration of video and other multimedia reasonably well and is ubiquitous. I’m sure there are better tools than PowerPoint, but it does the job for me.
  10. Flipboard: A tool I couldn’t do without on my iPad. I use Flipboard as my blog and news aggregator. Whether it’s my colleague Jane Hart’s C4LPT site, Harold Jarche’s Adapting to Perpetual Beta site, Jay Cross’s Internet Time blog, Clark Quinn’s Learnlets, Nick Shackleton-Jones’ fascinating Aconventional site, or Tom Stafford’s unbelievably extensive MindHacks neuroscience and psychology resource (I remember Tom when he was just a schoolboy – we can certainly learn a lot from the next generation). Flipboard brings them all together under a simple interface.

Of course there are other tools I use for learning – Wikipedia (naturally), Blogger (that’s where this blog sits), Audacity for audio work, Google Hangouts, Microsoft Live Writer and others. But the 10 above are my principal daily workhorses.

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Tuesday, 21 July 2015

The #Blimage Challenge

For a bit of fun this afternoon my colleague Jane Hart set a few of us a #Blimage challenge.

I hadn’t come across this particular game before but having subjected myself to an iced water dunking along with millions of others last year I was reasonably pleased to see that this one only requires a stream of consciousness and a blog post rather than a stream of cold water.

Steve Wheeler (@timbuckteeth) explained the #Blimage Challenge this way:

“You send an image or photograph to a colleague with the challenge that they have to write a learning related blog post based on it. Just make sure the images aren’t too rude. The permutations are blimmin’ endless.”

This is the image Jane sent.

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My first thoughts were ‘am I looking at a tunnel or the sun?  Is the tree heading down a rabbit-hole with its branches reaching into the long bright tunnel (or even along a yellow brick road) or are its branches holding the sun in its yellow sky?

So what sense and inspiration could I possibly draw from this psychedelic image and make meaningful on a learning blog post?

The three key messages that this little reflective exercise produced for me were:

  1. Context is king in life. When we look at a 2D rendering of our 3D world we often need additional information to make sense of it. Even when we see a ‘real’ 3D rendering we can be tricked. The street artist Slinkachu demonstrates the essential part context plays perfectly.
  2. Context is also king for learning. We learn best within the context where we are going to use that learning. Workplace learning is generally more effective than simulations which, in turn, are generally more effective than being provided with information using a traditional ‘knowledge transfer’ learning approach.
  3. If we don’t have all the information we can easily draw false conclusions. The great Peter Drucker once said ‘the most important thing in communication is hearing what isn’t said’. If we don’t understand the unsaid, then we’re operating in a half-known world. If we are not inquisitive and explore the (half) learning from our classrooms or workshops in the 3D world of our workplace(s) we are likely to be only half-equipped to use that learning.

So if we don’t have a 3D view of the world (the full context) – and, correspondingly, if we try to learn without knowing the full context where our learning is to be used – then the learning will be providing the equivalent of a 2D picture for us.

Having the full, unambiguous, context-critical picture is essential for effective the learning which will lead to high performance.  That’s what learning is all about. It’s only really useful when it can be put into action in the 3D world. Passing a written exam doesn’t necessarily mean that learning has taken place. It’s only when the learning can be applied do we know if that has happened. Roger Schank explains that brilliantly in a recent blog post titled ‘reading is no way to learn’.

Not having all the information can, and will, lead to critical mistakes. A 2D rendering, or learning without context, can easily lead down the rabbit hole. Watch out. Many people have fallen into that trap.

101413_0   flat,550x550,075,f

Wednesday, 6 May 2015

70:20:10 - Beyond the Blend

blue-143734_1280

The term ‘blended learning’ first appeared in the late-1990s when web-based learning solutions started to become more widely used and were integrated on one way or another with face-to-face methods.

Of course the ‘blending’ concept has been around for much longer than the past few years. Apprenticeship training has ‘blended’ for centuries and the correspondence schools in Europe in the 1840s used blending. There are many other examples of ‘blending’ learning stretching back into the past, too.

However, the incorporation of technology into learning or training delivery has given blended learning a boost.

Speed reading machines in the late 1950s and 1960s (I remember my own speed reading courses – sitting in front of a large scrolling text machine in the early-1960s), interactive video (where some of the best eLearning programmes were developed in the 1980s), CD-based support and, of course, the Web have all contributed to our relative comfort in accepting blended learning as the norm. Each of these, though, were used to design and deliver structured and directed learning based on some form of instructional design and, often, as part of a curriculum.

In terms of new delivery approaches, blending offers up new horizons. However, in terms of breaking the traditional ‘push’ learning model it offers up little.

Blended is invariably ‘Push’ Learning

There are many definitions of blended learning. In 2003 the UK Department of Education and Training defined it as “learning which combines online and face-to-face approaches”. Most people would recognise that definition in what we see as blended programmes today - the use of two or more channels to make learning more easily or widely available.

The diagram below also represents a common view of blended learning. It focuses on the ‘delivery channel’ - integrating technology with traditional face-to-face approaches and stretching the time available to spend learning.

Blended Learning Heinze & Proctor
Diagram from Heinze & Proctor ‘Reflections on the Use of Blended Learning’(2004).
University of Salford, UK.

The current Wikipedia definition of blended learning reflects its structured nature:

Blended learning is a formal education program in which a student learns at least in part through delivery of content and instruction via digital and online media with some element of student control over time, place, path, or pace.

The key point about blended learning as is generally understood is that it remains firmly based on a push model. The learning experience is designed by others and usually packaged into a coherent event or set of events by instructional experts and ‘delivered’.

Of course within the ‘push capsule’ of blended learning there may be increased flexibility for individual learning preferences and increased flexibility of access. Participants are not constrained in the same way that they might be if they need to show up to a class at a set time and location to complete their learning process.

Traditional ‘Blending’ is based on Dependent Learning Models 

More recently blended learning solutions have been expanded to include combining simulations with structured curses, using instructional technology to link courses with on-the-job tasks, and integrating workplace coaching with formal programmes amongst other approaches.

In other words, ‘blending’ is starting to mean more than simply mixing delivery channels.

It is still, however, focused on learning outcomes (rather than performance outcomes) and is still firmly based around the concepts of structured learning processes to achieve its objectives. This is what my colleague Jane Hart calls dependent learning (see diagram below).

Blending is about increasing the efficiency and effectiveness of dependent learning.

Although it may sometimes focus on extending learning into the ‘informal’ part of this diagram (and thus making it somewhat formal) the fact that the ‘blend’ is part of an overall designed programme, course or initiative makes ‘blended’ primarily fall into the formal/dependent category.

learning categories

As such, blended learning still essentially sits in the push paradigm. It consists of learning content (mainly) and possibly some learning experiences that are designed by L&D professionals for the use of others.

Adding Learning to Work by Blending

This expansion of blended learning into the workplace can be termed ‘adding learning to work’. We intentionally add learning-focused activities into the workflow.

A number of researchers and practitioners have categorised the process of extending learning into the workflow as ‘adding and embedding’ or ‘embedding and extracting’. The categorisation below brings together some of the ways in which this happens.

Adding learning to work occurs where intentional learning-focused actions are taken to extend formal away-from-work courses and programmes back into the workplace. Most leadership and management programmes use this with work-based assignments, linked action learning, and other techniques.

The key point is that ‘adding learning to work’ is achieved through intentionally designed activities that are linked with a formal learning intervention.

Blended learning almost always falls into the ‘adding’ category. It is learning-focused and based around dependent learning models.

extending learning

70:20:10 - Beyond the Blend

By contrast, the 70:20:10 model is based on the concept of utilising both push and pull learning to achieve greater impact, shorter time to performance, sustainability, increased innovation and cost constraint.

A 70:20:10 approach spans all four of the categories above – adding, embedding, extracting and sharing.

A 70:20:10 approach also encompasses Jane Hart’s interdependent and independent categories (above).

It is important to realise the 70:20:10 strategic model emerged from a view of modern adult learning that is wider than ‘blending’. 70:20:10 draws on the fundamental changes that have occurred, and are continuing to occur, in the workplace. Work is becoming more complex. We work more in teams and rely on others to get our work done more than ever before. Experiential and social learning are becoming more critical day-by-day as agents of development.

In response to this wider view of adult workplace learning, and to these changes, learning and work must, by necessity, merge.

Changing work

This evolving view of modern workplace learning includes:

  • A re-focusing away from Taylorist views of management as a scientific discipline and the need to standardise for efficiency towards approaches to support the need for agility, innovation and speed.
  • An acceptance that ‘best practice’ (i.e. one single best way to achieve optimum outcomes) is increasingly irrelevant in our complicated and complex working world. The focus is moving towards ‘good practice’ (i.e. practices that work well for our context but may not be appropriate in other contexts) and ‘emerging practices’ (i.e. practices that we develop retrospectively as we seek to improve).
  • An understanding that a ‘curriculum’ mindset – where plans for standardised learning pathways are defined for standardised job roles and standardised career progression – is increasingly irrelevant in a world where a culture of continuous and flexible development is required to keep ahead.
  • The knowledge that competencies (i.e. ‘satisfactory’) is what people should enter our organisations with, but that capabilities (i.e. ‘potential’) are what we need to help develop.
  • The realisation that with the intangible value of organisations out-stripping the tangible value, people (the largest intangible element) need to be seen and treated as co-creators of value. What is in the heads of workers has never before been more important for organisations to survive and thrive.

We still have a long way to go to break the learning=schooling mindset, to increase the impact and efficiency of learning, and to build cultures of continuous development embedded in work. But we’ve made some good starting steps.

The 70:20:10 reference model can certainly help us expand our concepts and practices to support a better workforce development approach when it is used wisely and as an agent of change and not followed slavishly as some ‘rule’.

Blended Learning is Only the Beginning of the Story

Blended learning has been an important first step in this process as it has helped break the shackles of time and location imposed by the dominant face-to-face dependent learning approaches that have been in use for centuries. Technology has enabled that. The ‘richness-reach trade-off’ described by Evans and Wurster in 1999 has truly been broken.

But ‘blending’ is just a baby step.

Blended learning is still on the wrong side of the chasm between learning and the learning/work continuum – and it needs to jump. A lot more work is required beyond ‘blending’ to truly embed learning into work.

It is important to remember that blended learning is a sub-set of 70:20:10, and one way to support a 70:20:10 approach, but it is not a replacement for it. If you’ve implemented blending, you’re on the road but not at the end of the journey yet.

#itashare

Friday, 23 January 2015

Autonomy and Value in Social and Workplace Learning

My colleague Jane Hart recently shared the diagram below on her blog.

It shows the relationship between relative value and relative autonomy as they relate to different approaches for learning in the modern workplace.

Jane's Model

‘Learning in the Modern Workplace’ Model

Jane’s diagram shows the increasing value that can be released through exploiting learning opportunities beyond ‘the course’ and the curriculum. Initially expanding from courses to resources and then further out to the exploitation of social collaboration and personal learning (and personal knowledge mastery).

It struck me that Jane’s model closely aligned with others I’ve used to help explain the increase in realised value brought about by the use of experiential, social and workplace learning.


IBM Core Model

IBM Core Model

This model, produced by IBM Consulting services in 2005, separates learning solutions into three phases:

  1. Access Phase: where learning is separate from work
  2. Integration Phase: where learning is ‘enabling’ work
  3. On Demand Phase: where learning is ‘embedded’ in work/tasks

This model shows the maximum potential value that can be realised increases as learning becomes closer to, and more integrated with, work.

I have mapped the elements of the 70:20:10 model at the bottom to show the link with the next model.


70:20:10 Model

jennings 702010

The 70:20:10 model is a strategy and set of practices to extend learning into the workflow. The principle is that in the new working environment learning is the work. Harold Jarche has written extensively about the merging of work and learning.

I see the 70:20:10 model as reflecting, to some extent, IBM’s model. Exploiting and extending learning opportunities from point solutions (learning events) to continuous development (learning as a process and part of the daily workflow) to increase value.

Organisations that are able to move in this direction, and have the HR and L&D teams to facilitate and support the move, will extract far greater value from workforce development than those that can’t.


The Autonomy-Strategic Alignment C-Curve’

C-curve- original

This model, the ‘Jennings & Reid-Dodick C-Curve’, was developed in the early stages of an L&D transformation for a Global FTSE100 company more than a decade ago.

It links to Jane’s diagram at the top of this post and maps autonomy against strategic alignment.

this model was developed to define the journey for the L&D transformation – firstly centralising standards and processes, and building a consistent performance consulting approach, then strengthening governance, and finally ‘federalising’ to provide the autonomy needed for agility, responsiveness and sustainability.

The C-Curve is based on the principle that the end-point for an effective L&D department is where the various units (which may be regional or functional) are tightly strategically organisationally aligned, but also have the level of autonomy that encourages them to be agile and pro-active.

Many organisations flip-flop between centralised L&D and distributed L&D. The cycle tends to have a frequency of about 5-8 years. Every 5-8 years an HRD or CEO decides to centralise, or to push L&D back into ‘the business’ – depending on the current operating model.  Then, 5-8 years after that change, L&D is de-centralised/centralised once again.

The C-Curve model addresses this ‘flipping’ problem.

The fundamental issue isn’t where the various L&D resources are sitting, but how they are aligned strategically and how responsive they are able to be. Simply flipping the organisational structure and reporting lines will do nothing to address the fundamental issue.

 


The ‘C’ Curve applied to Workplace Learning

Some years ago Harold Jarche and I talked about the ‘C’ Curve model. Harold then aligned it with a framework he had developed for supporting effective social learning (in the context of several models – including Snowden’s Cynefin and Ronfeldt’s TIMN).

Harold mapped the autonomy/strategic alignment axes of the C-Curve against knowledge acquisition models.

As John Reid-Dodick and I concluded back in 2004, Harold came to the conclusion that a jump straight from Stage 1 to Stage 4 is unlikely to succeed and that it requires a journey through at least some other stages to reach the end-point.

Harold reported:

“I’ve combined the C-Curve [X=Autonomy, Y= Strategic Alignment] with the knowledge acquisition models from these three organizational types (simple, Complicated, Complex). The question that I ask here is whether it is necessary to follow the curve or if one can leap from Stage 1 to 4.  If not, that means that organizations need to understand and implement something like a human performance technology model for L&D before they can move on to social learning. Perhaps this is why social learning is being resisted or put into a formal training box in many organizations. They have not made the move to Stage 3 (Performance Support) yet. It’s too much of a leap for organizations in Stage 2. On the other hand, social learning is only a short leap for more tribal start-ups that have not developed any structure at all for L&D as they are quite comfortable with autonomy and messy networks. Stage 2 seems like the worst place to be.”

  1. L&D Autonomous = taking action as a Tribe of its own
  2. L&D Aligned with organization = coordinated with the Institution
  3. L&D with governance & guidelines = able to work in a collaborative Market
  4. L&D strategically aligned = a co-operative member of (a) Network(s)

C-curve-LD

Harold’s full article is well worth studying.

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