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Clark Quinn’s Learnings about Learning

Initial reflections on Slow Learning #change11

6 December 2011 by Clark 2 Comments

I have to say that I found the comments on my initial post very interesting and challenging.  A couple of themes have emerged that partly I want to elaborate on, and partly want to reflect upon.  I believe in, and do try, ‘learning out loud’, so I’ll both try to elaborate and draw myself up short.

One of the themes that emerged is the rejection of the GPS idea, and extolling a preference for getting lost (I did  explicitly mention that GPS’s do not  help you learn the terrain, but I’ll add that they could).  I want to unpack that a bit. One of the issues is, for me, where you want to learn, and where you don’t.  As a definitely curious individual (in both senses, I suppose :), there’s far too much of interest for me to be able to focus on it all. As a consequence, I want to decide on what I invest effort in, and what I don’t.  So, for instance, I’ve learned about keyboard shortcuts to use Word’s outline  capabilities, and I can understand where others would not (tho’ I admit to wishing everyone would learn styles, as a valuable model going forward!).  So, I think we’d use a mental GPS when it’s something we don’t want to learn, and we’d want a different relationship when we do.  If  we’re self-aware learners.

There’s also the issue of how the Sage on the Side  would operate? What curricula are being used?  Who’s providing the content?  I will admit that while I talk a constructivist game, I do tend to err too quickly to think about designed resources.  In my own defense, I will suggest that self-learning skills aren’t broadly distributed enough yet, and particularly for novices, there are times when they don’t know what they need and why it’s important.  I am very much a fan of guided discovery learning (not the unguided discovery learning that was used as a straw-man opponent to instructivist in the Kirschner, Sweller, Clark article), but I do believe guidance is necessary until learners demonstrate self-learning capability. And I definitely think we can and should be developing that capability, but I’m not sanguine that we’re very good at it yet.

However,  I’ve earlier talked about user generated curricula, and I think that’s really the way to go.   In the long term, the communities will take ownership of the paths to competency. I’m hoping, through something like Project Tin Can (horrible  name, but…), we can support defining broad paths to capability that are maintained by the community, and even self-proposed paths that are vetted by the community (says a guy who designed his own undergraduate major).

I admit that I’m trying to focus on a system that can be supporting a person in their goals with minimal human intervention. I want it to be one of the options on the table for the ‘sage’ to draw upon (e.g. the resources can be people, too), but I’m trying to make this scalable. Idealistically, I would like communities to become more other-supporting, but I think such a system would have desirable properties in terms of developing people over time.

As I think about it, I also anticipate some serendipity in the sage approach.  There’s some randomness in our cognitive architecture, and I’d like to see some similar probabilistic behavior in the system recommendations.  When we built the Intellectricityâ„¢ system, we had options ‘competing’ for the opportunity to be presented.  We also had machine learning in the background to improve the weighting.  This is where deep analytics and semantics could generate some real interesting outcomes.

And I definitely would hope that we would explicitly be working in a layer on top of the learning goals to address meta-learning or learning to learn, so we could move from providing guidance to merely suggesting resources.  So, for example, despite my time trying to improve my learning, there’s still room for improvement and I welcome any assistance I can get.  I’m mindful of Watts Humphrey’s work in software quality, where documenting your decisions and having them reviewed identified persistent mistakes, and allowed for continual improvement (resulting in large decreases in errors, much more accurate schedules, and other tangible benefits).  The approach is certainly applicable to other areas of design and work, and I think it’d be fascinating to have systemic support (because the overhead is high enough that I haven’t been able to instill it in myself ;).

Given that we’re all novices in some areas while experts in others, I think the notion of at least a bootstrap from some support makes sense to assist transition into a community of practice.  I don’t think this is fundamental opposition to rhizomes,connectivism, or anything else, but I welcome your thoughts.  I do think that the notion of a tree of trajectories may be too rigid, so I’ll have to ponder that, but I’d like to devolve that decision to the community of practice.

Going beyond just the notion of the system, I believe that we need to start thinking more broadly about our curricula, pedagogy, and more. That’s not new, but I do believe a shift from learning events to continual development is not only needed, but doable.  Given that each of us is a member of multiple communities, it may look more like a network, but that’s OK.


Slow Learning – #change11

3 December 2011 by Clark 18 Comments

This is a longer post launching my week in the #change11 MOOC (Massively Open Online Course).  

Our formal learning approaches too often don‘t follow how our brains really work.   We have magic now; we can summon up powerful programs to do our bidding, gaze through webcams across distances, and bring anyone and anything to pretty much anywhere. Our limitations are no longer the technology, but our imaginations. The question is, what are we, and should be, doing with this technology?

I like to look at this a couple of ways. For one, I like to ask myself “what would my ideal learning situation be”

Stop and ask yourself that.   Go ahead, I‘ll wait.   And feel free to share!

For me, that would be having a personal mentor traveling with me, looking at my tasks, providing both support in the moment, and developing me slowly over time.   I talked about how we might systematize that in a post titled Sage at the Side.   I also talked about this model as Layered Learning.   That is, layering on learning across our life.

It‘s part of what my colleague Harold Jarche talks about when saying “work is learning and learning is work”, the notion that as organizations start empowering workers to adapt to the increasing complexity, there will be no difference between work and learning, and we‘ll have to move away from the ‘event‘ model of learning and start integrating learning more closely into our activities.   We‘ll need to have a closer coupling between our activities and the resources, creating what Jay Cross calls a workscape and I‘ve termed the performance ecosystem.   That is, having the tools to hand, including job aids, people, and skill development, but in a more systemic way.

Think about that: how would you construct an optimal performance environment for yourself?   What would it look like?   Again, feel free to share.

Would it look like an LMS over here, training away over there, job aids scattered across portals, and social networks hierarchically structured or completely banned?   Would you have spray-and-pray (aka show up and throw up) training?   Online courses that are clicky-clicky bling-bling? Resources accessible by the way the organization is siloed?   Even the simple and well-documented matter of spaced learning is largely violated in most of the learning interventions we propagate.   In short, all of this is in conflict with how the human brain works!

Look at how how we learn naturally, before schooling (what I call the 7 C‘s of natural learning). We see that we learn by being engaged in meaningful activity, and working with others.   It‘s not about knowledge dump and test, but instead about coupling engaged activity with reflection.   I like Collins, Brown, & Holum‘s Cognitive Apprenticeship as a model for thinking more richly about learning.   Other learning models are not static (c.f. Merrill‘s trajectory through CDT to ID2 to Ripples), and I believe they‘ll converge where Cognitive Apprenticeship is (albeit perhaps my slightly adulterated version thereof).   It talks about modeling, scaffolding and release, naturally incorporating social and meaningful activity into the learning process.

Taking a broader look, too many of our systems have a limited suite of solutions to choose from, and ignore a number of features that we need.   The ADDIE process assumes a course, and still doesn‘t have any real support for the emotional engagement aspect. A step above is the HPT approach, which does look at the learning need and checks to see whether the solution might be a course, a job aid, realigning incentives, or some other things. However, it still doesn‘t consider, really, engagement, nor does an adequate job of considering when connecting to a person is a more valuable solution than designing content.

And while Gloria Gery‘s seminal work on Electronic Performance Support Systems suggested that these systems could not only provide support in the moment but also develop the learners‘ understanding, I still don‘t see this in any systems in practice. Even GPSs don‘t help you understand the area, they just get you where you‘re trying to go. So we are still missing something.

I‘m really arguing for the need to come up with a broader perspective on learning.   I‘ve been calling it learning experience design, but really it‘s more.   It‘s a combination of performance support and learning (and it‘s badly in need of some branding help). The notion is a sort-of personal GPS for your knowledge work. It‘s knows where you want to go (since you told it), and it knows where you are geographically and semantically (via GPS and your calendar), and as it recognizes the context it can provide not only support in the moment, but layers on learning along the way.   And I think that we don‘t know really how to look at things this way yet; we don‘t have design models (to think about the experience conceptually), we don‘t have design processes (to go from goal to solution), and we don‘t have tools (to deliver this integrated experience).   Yet the limits are not technological; we have the ability to build the systems if we can conceptualize the needed framework.

I think this framework will need to start with considering the experience design, what is the flow of information and activity that will help develop the learner (e.g. “If you get the design right, there are lots of ways to implement it”).   Then we can get into the mechanics of how to distribute the experience across devices, information, people, etc.   But this is embryonic yet, I welcome your thoughts!

Really, I‘m looking to start matching our technology more closely to our brains.   Taking a   page from the slow movement (e.g. slow X, where X = food, sex, travel, …), I‘m talking about slow learning, where we start distributing our learning in ways that match the ways in which our brains work: meaningfulness, activation and reactivation, not separate but wrapped around our lives, etc.

There‘s lots more: addressing the epistemology of learners, mobile technologies, meta-learning & 21st C skills, and deep analytics and semantic systems, to name a few, but I think we need to start with the right conceptions.   Some of my notions of design may be too didactic, after all, and we‘ll need to couple information augmentation with meaning-making to make real progress, but I think this notion of stepping back and reflecting on what we might want to achieve and where we‘re currently inadequate is an initial step.

And now the initiative is over to you. I look forward to your thoughts.

Readings

Collins, A., Brown, J.S., and Holum, A. (1991).   .   Cognitive Apprenticeship: Making Thinking Visible. American Educator, Winter.

Quinn, C. (2004).   Learning at Large.   Educational Technology, 44, 4, 45-49.

Quinn, C. (2009). Populating the LearnScape: e-Learning as Strategy. In M. Allen (Ed.) Michael Allen‘s eLearning Annual 2009. Pfeiffer, San Francisco.

Quinn, C. (2010). Rethinking eLearning.   Learning Solutions Magazine. April.

Quinn, C. (2010). Designing for an uncertain world. Learnlets. April.

Thalheimer, W. (2006).  Spacing Learning Over Time.  Work Learning Research.

Evil Design

1 December 2011 by Clark 4 Comments

In the mobile ideation session I ran today for some folks, the question came up about good and bad examples of design, and subsequent events reminded me of the topic of not just bad, but evil design. What I mean is design that is crafted to return maximal outcome to the designer, not just at the expense of the user, but even to the discomfort of the user or contrary to their intentions.  Let me cite a few examples.

First, while this has been improved somewhat, the kiosks that <my usual airline> uses to check in had a big yellow ‘continue’ button that you used to indicate you were ready to move on to the next screen. And the first couple of times in an instance it was innocuous, so you got used to using the button comfortably and automatically.  But then, you’d get the opportunity to spend some extra money – nicer seats, extra miles – and the default action, signaled by the big yellow button,was to spend the money.  This could be several hundred dollars! I fortunately didn’t get trapped (I try to get to the airport early), but I wonder how many rushing travelers inadvertently *did* manage to overspend.  I think such a design takes advantage of our cognitive architecture, falling into a pattern, in unconscionable ways.

Then, today, I was driving back to O’Hare airport from the aforementioned engagement. Following my GPS instructions and the signs, I followed the route to the airport.  Now, on the way out there was a required toll, and I drove through and paid the guy (since naturally I didn’t have a pass). The signs on the way back announcing tolls didn’t look noticeably different, and so I didn’t pay too much attention. Imagine my surprise, then, to find a toll payment arrangement requiring either a pass (which of course I didn’t have) or payment by coins.  Which I also didn’t have.  And  the amount was more than the outbound fee, so even if I tried to use change, I likely wouldn’t have enough (who keeps lots of change around these days?).

The cameras no doubt caught me sitting there looking around, then calling for help, then furiously driving on after giving the camera a frustrated glare. Of course there’s a fine if you don’t pay, but there’s no way to pay except through a long URL that’d be hard to get exactly right.  You have seven days, which in one sense is nice, but might cause you to put it off and forget.  Worse, when you do go online, you’d have to known to record the license plate state and number to be able to pay!  And, of course, it’s highly likely in the rush of travel that you’d forget to do this.  This seems designed for the sheer purpose to get more fees.  For example, paying online is more expensive than paying the original fee.  Why can they have a person outbound, and not inbound?  It’s capitalizing on expectations and putting you in circumstances that are likely to maximize your inability to pay in the initial instance.  What’s with that?

It gets worse, by the way. If you didn’t remember (and our brains aren’t good at rote memory) that the site is singular (Xtollway.com) and instead type  Xtollways.com  (a reasonable and even likely mistake), you end up at a site that looks like it can help, but instead seems to have sponsored ads and looks for clicks. If you weren’t paying attention, you could end up giving your credit card to the wrong site, and still not have paid the fine!  I’m surprised such a site can exist and not be shut down!

Our cognitive architecture has some flaws, and these can be exploited by the unscrupulous (c.f. commercial gambling).  It helps to be cognizant of it. It ranges from the designing interface, to ad campaigns, and the whole way companies conduct  business (see the Cluetrain Manifesto).

This is, BTW, at least part of the reason I don’t like gamification, as many game mechanics like adding points tap into human reactions in a way to get them to do things they might not otherwise do.  This *can* be good if it gets them to do things like lose excess weight or quit smoking, but I’d rather tap into intrinsic motivation instead.

While I’m a fan of good design, and there’s a continuum to bad design, I still prefer that to evil design.  How about you?

Etienne Wenger-Trayner Keynote Mindmap

18 November 2011 by Clark 4 Comments

At the CSTD meeting, Etienne was the morning keynote, and gave a erudite exploration of the philosophical background and characteristics of Communties of Practice.

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Stephen Berlin Johnson Keynote Mindmap

17 November 2011 by Clark 2 Comments

Here at the very friendly Canadian Society for Training & Development annual conference, Stephen Berlin Johnson gave a great keynote telling the story of innovation. In it, he busted the myth of individual inspiration and instead pointed to the contributions of the slow hunch, diverse inputs, and continual communication & collaboration.

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Telecom Travel Travails

16 November 2011 by Clark 1 Comment

Ok,so I’m ‘abroad’ in Canada, and they have different carriers, so I can’t blithely use data like I normally do. Well, I’m told that the conference center has no wifi, and it’s away from the hotel, so I figured I didn’t want to be out of touch, so I’d look into data packages.

Now the story gets interesting: the guy who gave the ‘reduced’ call rate said that the package was 125 MB for $50, but that since I would be only there a few days, that the cost would be prorated but I could use all the data. That’s too much money overall, but prorated… I wanted time to think about it, so I called back to order. This lady said it would be prorated,b it only for my time into the month, so half price for half the data. 65MB, that should be enough.

And, sure enough, I set my device to only use email (I think), and it’s 1.5 MB when I land (hours later) and 2.2 some hours after that. At that rate, I’ll be good. Then after going out to dinner with colleagues, it’s 77 MB used!?! And I have wifi in the hotel, so I was using that on the iPad!

I call AT&T and this time the guy says it’s the full rate for the full data (which I wouldn’t have paid, too high), so I’m OK on the data, except I’m not; at that rate, I’ll go over the limit. He has not the same record of data usage, but says “bookkeeping” could take a while. E.g. he has no reason why my usage suddenly spiked, which means I can’t take the chance.

So here I am, with three different stories about how much I’m paying and getting (two of which got me to buy more than I intended by, effectively, deception), no ability to determine the source of data usage (certainly at least largely due to Apple’s impenetrable data usages, and I’m not too dense), and consequently out of money, data, and contact.

Just to add icing to the cake, despite paying for wifi, I am still getting pop-up ads! Grumble, mumble…

John Lithgow Keynote Mindmap

8 November 2011 by Clark Leave a Comment

John Lithgow graced us, talking about storytelling, as an eloquent storyteller.

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Learning 2011 Day 2 Morning Mindmaps

8 November 2011 by Clark Leave a Comment

This morning Elliott interviewed Cathy Casserly from Creative Commons and Dean Kamen. Cathy was a passionate advocate for openness and sharing. She talked about going further into learning, and I was reminded about Project Tin Can, making a more general learning path. Dean recited his interesting childhood and then launched into his inspiring project to make science cool again.

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Layered Learning

8 November 2011 by Clark 1 Comment

Last week, I posted about a model where a system could provide a sage who looks at the events of your life and provides support.  I want to elaborate that model by looking at it in a different way.

The notion here is that you have events in your life, across the bottom. And you have some learning goals, e.g. to learn about project management, and about running meetings.  You might get some initial content about those two goals, but then let’s focus on developing that learning over time.

The events in your life give you a chance to use them as learning experiences, not just performance opportunities.  If there are not enough in your life, you might have interstitial activities (those in dashed lines), but you can be developed across learning goals abcd, and uvwxyz, both through delivered experiences, and with learning wrapped around real experiences.

Expanding an event into some actionsLet me make that latter clearer.  Say you’ve got some event like project work, and an associated learning goal (e.g. concept ‘d’ in a curricula).  A system could see the calendar entry for the project work and, through tagging or other semantic means, recognize the relationship with learning goal ‘d’.  Then, some relevant activation and concept material might precede the event, an aid could appear during, and either a self-evaluation metric or a connection to a live person could happen afterward.  Delivered, for instance, through mobile devices.

The goal is to use the events in your life as learning opportunities as much as possible (or preferable).  We can also mix in some simulated practice (e.g an alternate reality game) if it’s not occurring at a sufficient rate in real life, but the goal is to match the learning development plan to the rate at which we effectively learn.  And, to be clear, we do not  learn effectively by a one-off knowledge dump and a quiz, as much of what we do actually works out to be.

As I’ve mentioned before, we have the magic, the sufficiently advanced technology Arthur C. Clarke talked about, to hand.  We should start using it to develop us towards our goals in appropriate ways.  The opportunity is there; who’s ready to seize it?

President Clinton Keynote Mindmap

7 November 2011 by Clark 5 Comments

President Bill Clinton riveted the crowd with a keynote covering a broad swath of problems. His solutions include systems thinking and positive dialog. Engaging and powerful.

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