Clark Quinn's Learnings about Learning
(The Official Quinnovation blog)

17 September 2014

Learning in 2024 #LRN2024

Clark @ 8:14 am

The eLearning Guild is celebrating it’s 10th year, and is using the opportunity to reflect on what learning will look like 10 years from now.  While I couldn’t participate in the twitter chat they held, I optimistically weighed in: “learning in 2024 will look like individualized personal mentoring via augmented reality, AI, and the network”.  However, I thought I would elaborate in line with a series of followup posts leveraging the #lrn2024 hashtag.  The twitter chat had a series of questions, so I’ll address them here (with a caveat that our learning really hasn’t changed, our wetware hasn’t evolved in the past decade and won’t again in the next; our support of learning is what I’m referring to here):

1. How has learning changed in the last 10 years (from the perspective of the learner)?

I reckon the learner has seen a significant move to more elearning instead of an almost complete dependence on face-to-face events.  And I reckon most learners have begun to use technology in their own ways to get answers, whether via the Google, or social networks like FaceBook and LinkedIn.  And I expect they’re seeing more media such as videos and animations, and may even be creating their own. I also expect that the elearning they’re seeing is not particularly good, nor improving, if not actually decreasing in quality.  I expect they’re seeing more info dump/knowledge test, more and more ‘click to learn more‘, more tarted-up drill-and-kill.  For which we should apologize!

2. What is the most significant change technology has made to organizational learning in the past decade?

I reckon there are two significant changes that have happened. One is rather subtle as yet, but will be profound, and that is the ability to track more activity, mine more data, and gain more insights. The ExperienceAPI coupled with analytics is a huge opportunity.  The other is the rise of social networks.  The ability to stay more tightly coupled with colleagues, sharing information and collaborating, has really become mainstream in our lives, and is going to have a big impact on our organizations.  Working ‘out loud’, showing our work, and working together is a critical inflection point in bringing learning back into the workflow in a natural way and away from the ‘event’ model.

3. What are the most significant challenges facing organizational learning today?

The most significant change is the status quo: the belief that an information oriented event model has any relationship to meaningful outcomes.  This plays out in so many ways: order-taking for courses, equating information with skills, being concerned with speed and quantity instead of quality of outcomes, not measuring the impact, the list goes on.   We’ve become self-deluded that an LMS and a rapid elearning tool means you’re doing something worthwhile, when it’s profoundly wrong.  L&D needs a revolution.

4. What technologies will have the greatest impact on learning in the next decade? Why?

The short answer is mobile.  Mobile is the catalyst for change. So many other technologies go through the hype cycle: initial over-excitement, crash, and then a gradual resurgence (c.f. virtual worlds), but mobile has been resistant for the simple reason that there’s so much value proposition.  The cognitive augmentation that digital technology provides, available whenever and wherever you are clearly has benefits, and it’s not courses!  It will naturally incorporate augmented reality with the variety of new device we’re seeing.  We’re seeing a richer picture of how technology can support us in being effective, and L&D can facilitate these other activities as a way to move to a more strategic and valuable role in the organization.  As above, also new tracking and analysis tools, and social networks.  I’ll add that simulations/serious games are an opportunity that is yet to really be capitalized on.  (There are reasons I wrote those books :)

5. What new skills will professionals need to develop to support learning in the future?

As I wrote (PDF), the new skills that are necessary fall into two major categories: performance consulting and interaction facilitation.  We need to not design courses until we’ve ascertained that no other approach will work, so we need to get down to the real problems. We should hope that the answer comes from the network when it can, and we should want to design performance support solutions if it can’t, and reserve courses for only when it absolutely has to be in the head. To get good outcomes from the network, it takes facilitation, and I think facilitation is a good model for promoting innovation, supporting coaching and mentoring, and helping individuals develop self-learning skills.  So the ability to get those root causes of problems, choose between solutions, and measure the impact are key for the first part, and understanding what skills are needed by the individuals (whether performers or mentors/coaches/leaders) and how to develop them are the key new additions.

6. What will learning look like in the year 2024?

Ideally, it would look like an ‘always on’ mentoring solution, so the experience is that of someone always with you to watch your performance and provide just the right guidance to help you perform in the moment and develop you over time. Learning will be layered on to your activities, and only occasionally will require some special events but mostly will be wrapped around your life in a supportive way.  Some of this will be system-delivered, and some will come from the network, but it should feel like you’re being cared for in the most efficacious way.

In closing, I note that, unfortunately,my Revolution book and the Manifesto were both driven by a sense of frustration around the lack of meaningful change in L&D. Hopefully, they’re riding or catalyzing the needed change, but in a cynical mood I might believe that things won’t change near as much as I’d hope. I also remember a talk (cleverly titled: Predict Anything but the Future :) that said that the future does tend to come as an informed basis would predict with an unexpected twist, so it’ll be interesting to discover what that twist will be.

16 September 2014

On the Road Fall 2014

Clark @ 8:05 am

Fall always seems to be a busy time, and I reckon it’s worthwhile to let you know where I’ll be in case you might be there too! Coming up are a couple of different events that you might be interested in:

September 28-30 I’ll be at the Future of Talent retreat  at the Marconi Center up the coast from San Francisco. It’s a lovely spot with a limited number of participants who will go deep on what’s coming in the Talent world. I’ll be talking up the Revolution, of course.

October 28-31 I’ll be at the eLearning Guild’s DevLearn in Las Vegas (always a great event; if you’re into elearning you should be there).  I’ll be running a Revolution workshop (I believe there are still a few spots), part of  a mobile panel, and talking about how we are going about addressing the challenges of learning design at the Wadhwani Foundation.

November 12-13 I’ll be part of the mLearnNow event in New Orleans (well, that’s what I call it, they call it LearnNow mobile blah blah blah ;).  Again, there are some slots still available.  I’m honored to be co-presenting with Sarah Gilbert and Nick Floro (with Justin Brusino pulling strings in the background), and we’re working hard to make sure it should be a really great deep dive into mlearning.  (And, New Orleans!)

There may be one more opportunity, so if anyone in Sydney wants to talk, consider Nov 21.

Hope to cross paths with you at one or more of these places!

1 July 2014

Wearable affordances

Clark @ 8:10 am

At the mLearnCon conference, it became clear it was time to write about wearables.  At the same time, David Kelly (program director for t he Guild) asked for conference reflections for the Guild Blog. Long story short, my reflections are a guest post there.

25 June 2014

Karen McGrane #mLearnCon Keynote Mindmap

Clark @ 9:54 am

Karen McGrane evangelized good content architecture (a topic near to my heart), in a witty and clear keynote. With amusing examples and quotes, she brought out just how key it is to move beyond hard wired, designed content and start working on rule-driven combinations from structured chunks. Great stuff!


22 April 2014

Neil Jacobstein #ChurchillClub Keynote Mindmap

Clark @ 7:59 pm

Neil Jacobstein gave the keynote for the special Future of Talent event sponsored by SAP and hosted by the Churchill Club. In a wide ranging and inspiring talk, Neil covered how new technologies, models, and methods provide opportunities to transcend our problems and create a world worth living in.


10 April 2014

Can we jumpstart new tech usage?

Clark @ 7:20 am

It’s a well-known phenomena that new technologies get used in the same ways as old technologies until their new capabilities emerge.  And this is understandable, if a little disappointing.  The question is, can we do better?  I’d certainly like to believe so!  And a conversation on twitter led me to try to make the case.

So, to start with, you have to understand the concept of affordances, at least at a simple level.  The notion is that objects in the world support certain action owing to the innate characteristics of the object (flat horizontal surfaces support placing things on them, levers afford pushing and pulling, etc).  Similarly, interface objects can imply their capabilities (buttons for clicking, sliders for sliding). They can be conveyed by visual similarity to familiar real-world objects, or be completely new (e.g. a cursor).

One of the important concepts is whether the affordance is ‘hidden’ or not.  So, for instance, on iOS you can have meaningful differences between one, two, three, and even four-fingered swipes.  Unless someone tells you about it, however, or you discover it randomly (unlikely), you’re not likely to know it.  And there’re now so many that they’re hard to remember.  There are many deep arguments about affordances, and they’re likely important but they can seem like ‘angels dancing on the head of a pin’ arguments, so I’ll leave it at this.

The point here being that technologies have affordances.  So, for example, email allows you to transmit text communications asynchronously to a set group of recipients.  And the question is, can we anticipate and leverage the properties and skip (or minimize) the stumbling beginnings.

Let me use an example. Remember the Virtual Worlds bubble?  Around 2003, immersive learning environments were emerging (one of my former bosses went to work for a company). And around 2006-2009 they were quite the coming thing, and there was a lot of excitement that they were going to be the solution.  Everyone would be using them to conduct business, and folks would work from desktops connecting to everyone else.  Let me ask: where are they now?

The Gartner Hype Cycle talks about the ‘Peak of Inflated Expectations’ and then the ‘Trough of Disillusionment’, followed by the ‘Slope of Enlightenment’ until you reach the ‘Plateau of Productivity’ (such vibrant language!).  And what I want to suggest is that the slope up is where we realize the real meaningful affordances that the technology provides.

So I tried to document the affordances and figure out what the core capabilities were.  It seemed that Virtual Worlds really supported two main points: being inherently 3D and being social.  Which are important components, no argument. On the other hand, they had two types of overhead, the cognitive load of learning them, and the technological load of supporting them. Which means that their natural niche would be where 3D would be inherently valuable (e.g. spatial models or settings, such as refineries where you wanted track flows), and where social would also be critical (e.g. mentoring).  Otherwise there were lower-cost ways to do either one alone.

Thus, my prediction would be that those would be the types of applications that’d be seen after the bubble burst and we’d traversed the trough.  And, as far as I know, I got it right.  Similarly, with mobile, I tried to find the core opportunities.  And this led to the models in the Designing mLearning book.

Of course, there’s a catch.  I note that my understanding of the capabilities of tablets has evolved, for instance. Heck, if I could accurately predict all the capabilities and uses of a technology, I would be running venture capital.  That said, I think that I can, and more importantly, we can, make a good initial stab.  Sure, we’ll miss some things (I’m not sure I could’ve predicted the boon that Twitter has become), but I think we can do better than we have.  That’s my claim, and I’m sticking to it (until proved wrong, at least ;).

2 April 2014

It’s (almost) out!

Clark @ 6:42 am

My latest tome, Revolutionize Learning & Development: Performance and Innovation Strategy for the Information Age is out.  Well, sort of.  What I mean is that it’s now available on Amazon for pre-order.  Actually, it’s been for a while, but I wanted to wait until there was some there there, and now there’s the ‘look inside’ stuff so you can see the cover, back cover (with endorsements!), table of contents, sample pages, and more.  Ok, so I’m excited!

RLnDCoverSmallWhat I’ve tried to do is make the case for dragging L&D into the 21st Century, and then provide an onramp.  As I’ve been saying, my short take is that L&D isn’t doing what it could and should be doing, and what it is doing, it is doing badly.  But I don’t believe complaining alone is particularly helpful, so I’m trying to put in place what I think will help as well.  The major components are:

  • what’s wrong (you can’t change until you admit the problem :)
  • what we know about how we think, work, and learn that we aren’t accounting for
  • what it would look like if we were doing it right
  • ways forward

By itself, it’s not the whole answer, for several reasons. First, it can’t be. I can’t know all the different situations you face, so I can’t have a roadmap forward for everyone. Instead, what I supposed you could think of is that it’s a guidebook (stretching metaphors), showing suggestions that you’ll have to sequence into your own path.  Second, we don’t know all yet. We’re still exploring many of these areas.  For example, culture change is not a recipe, it’s a process.  Third, I’m not sure any one person can know all the answers in such a big field. So, fourth, to practice what I’m preaching, there should be a community pushing this, creating the answers together.

A couple of things on that last part, the first one is a request.  The community will need to be in place by the time the book is shipping.  The question is where to host it.  I don’t intend to build a separate community for it on the book site, as there are plenty of places to do this.  Google groups, Yahoo groups, LinkedIn…the list goes on. It can’t be proprietary (e.g. you have to be a paid member to play).  Ideally it’d have collaborative tools to create resources, but I reckon that can be accommodated via links.  What do you folks think would be a good choice?

The second part of the community bit is that I’m very grateful to many people who’ve helped or contributed.  Practitioner friends and colleagues provided the five case studies I’ve the pleasure to host.  Two pioneers shared their thoughts.  The folks at ASTD have been great collaborators in both helping me with resources, and in helping me get the message out.  A number of other friends and colleagues took the time to read an early version and write endorsements.  And I’ve learned together with so many of you by attending events together, hearing you speak, reading your writings, and having you provide feedback on my thoughts via talking or writing to me after hearing me speak or commenting on my scribblings here.

The book isn’t perfect, because I have thought of a number of ways it could be improved since I provided the manuscript, but I have stuck to the mantra that at some point it’s better out than still being polished. This book came from frustration that we can be doing so much better, and we’re not. I didn’t grow up thinking “I’m going to be a revolutionary”, but I can’t not see what I see and not say something.  We can be doing so much better than we are. And so I had to be willing to just get the word out, imperfect.  It wasn’t (isn’t) clear that I’m the best person to call this out, but someone needs to!

That said, I have worked really hard to have the right pieces in place.  I’ve collected and integrated what I think are the necessary frameworks, provided case studies and a workplace scenario, and some tools to work forward.   I have done my best to provide a short and cogent kickstart to moving forward.  

Just to let you know that I’m starting my push.  I’ll be presenting on the book at ASTD’s ICE conference, and doing some webinars. Bryan Austin of GameOn Learning interviewed me on my thoughts in this direction.  I do believe in the message, and that it at least needs to be heard.  I think it’s really the necessary message for L&D (in it, you’ll find out why I’m suggesting we need to shift to P&D!).  Forewarned!  I look forward to your feedback.

13 March 2014

Smarts: content or system?

Clark @ 7:07 am

I wrote up my visit to the Intelligent Content conference for eLearnMag, but one topic I didn’t raise was an unanswered question I raised during the conference: should the ‘smarts’ be in the content or the system?  Which is the best way to adapt?

Now the obvious answer is the system. Making content smart would require a bunch of additional elements to the content. There would have to be logic to sense conditions and make changes. Simple adaptation could be built in, but it would be hard to revise them if you had new information.  Having  well-defined content and letting the system use contextual information to choose the content is the typical system used in the industry.

Let’s consider the alternative for a minute, however.  If the content were adaptive, it wouldn’t matter what system it was running on, it would deliver the same capability.  For example you could run under SCORM and still have the smart behavior.  And you can’t adapt with a system if you’ve monolithic learning objects that contain the whole experience.

And, at the time I led a team building an adaptive learning engine, we did see adaptive content. However, we chose to have more finely granulated content, down to individual practice items, separate examples, concepts, and more.  Even our introductions were going to have separate elements.  We believed that if we had finely articulated content models, and rich tagging, we could change the rules that were running in the system, and get new adaptive behaviors across all the content with only requiring new rules in one place.

And if new tags were needed on the content objects, we could write programs to add necessary tags rather than have to hand-address every object.  In the smart content approach, if you want to change the adaptation, you’re getting into the internals of every content piece.

We thought we had it right, and I still think that, for the reasons above, smart systems are the way to go, coupled with semantically tagged and well-delineated content. Happy to hear alternate proposals!


11 February 2014

Smarter Than We Think Review

Clark @ 6:35 am

In Smarter Than We Think, Clive Thompson makes the case that not only is our technology not making us stupider, but that we have been using external support for our cognition from our earliest days. Moreover, this is a good thing. Well, if we do so consciously and with good intent.

He starts by telling the story of how – as our chess competitions have moved from man against man, through man against computer, to man & computer against man & computer – the quality of play has fundamentally changed and improved. He ultimately recites how the outcomes of the combination of man and machine produce fundamentally new insights.

He goes on to cover a wide variety of phenomena. These include augmenting our imperfect memory, the benefits of thinking out loud, the gains from understanding different media properties, the changes when information is to hand, the opportunities unleashed by crowd-sourcing, the implications for education, and the changes when you have continual connection to others. This is not presented as an unvarnished panacea, but the potential and real problems are covered.

The story is ripely illustrated with many stories culled from many interviews with people well-known and obscure, but all with important perspectives. We hear of impacts both personal, national, and societal. This is a relatively new book, and while we don’t hear of Edward Snowden or Bradley Manning, their shadows fall on the material. On the other hand we hear of triumphs for individuals and movements.

I have argued before about how we can, and should, augment our pattern-matching capability with the perfect memory and complex calculation that digital technology provides, and separately how social extends our cognition. Thompson takes this further, integrating the two, extending the story to media and networked capabilities. A good extension and a worthwhile read.

28 January 2014

Starting trouble

Clark @ 7:04 am

This seems to be my year of making trouble, and one of the ways is talking about what L&D is and isn’t doing. As a consequence of the forthcoming book (no cover comps yet nor ability to preorder), I’ve had to put my thoughts together, and I’m giving the preliminary version next Thurs, February 6, at 11AM PT, 2PM ET as a webinar for ASTD.

The gist is that there are a number of changes L&D is not accommodating: changes in how business should be run, changes in understanding how we think and perform, and even our understanding of learning has advanced (at least beyond the point that most of our corporate approaches seem to recognize).  Most L&D really seems stuck in the industrial age, and yet we’re in the information age.

And this just doesn’t make sense!  We should be the most eager adopters of technology, staying on top of new developments and looking for their potential to support our organizations.  We should be leading the charge in being learning organizations: following the business precepts of experimenting regularly, failing fast, and reflecting on the outcomes.  Yet that doesn’t reflect what the we’re seeing.

To move forward, we need to do more. To address business needs, we need to consider performance support and social networks. In fact, I argue that these should be our first line of defense, and courses should only be used when a significant skill shift is required.  We should be leveraging technology more effectively, looking at semantics and content architectures as well as mobile and contextual opportunities.  And we need to be getting strategic about how we’re helping the organization and evaluating not just efficiency but our effectiveness and impact.

This is just the start of a rolling series of activities trying to inject a sense of urgency into L&D (change management step 1).  While this will be covered in print, in sessions starting with last week’s TK14, and continuing through Learning Solutions and ICE, here’s a chance to get a headstart.  Look for a followup somewhere around April.  Hope you’ll join us!

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