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Update on my webinars

19 January 2021 by Clark Leave a Comment

I know, I know, I’ve been doing a lot of updates: books, workshops, and now webinars. I promise I’ll get back to my regular posting on learning things, but the benefit of these, unlike books or courses, is that they’re free. And several are coming up! So I thought I’d at least let you have a chance. So, here’s an update on my webinars.

First, I’ll be talking for eLearning Learning on the 27th of January at 11AM PT (2PM ET). They were interested in discussing about the impact on Covid, and of course I’m taking it in an aspirational direction. I’m presenting about how we’re not well aligned with how we think, work, and learn, and what that looks like in general, and in particular online.

Then, I’m doing a ‘make it meaningful’ presentation for iSpring on 25 Feb at 9AM PT (noon ET). The coordinates to sign up are here.   It aligns with their theme and I’ll get into some top-level issues.

Then, on 18 March, at 10AM, I’ll talk with Barbara Covarrubias Venegas on facilitating innovation. Since here topic is on virtual space, I suspect we’ll focus there. It’s a LinkedIn Live event, you can see it as one of her list of interviews.

Finally, at 10 AM PT (1PM ET) on Thursday the 13th (not Friday), I’ll be talking learning science for ATD.  That, as yet, doesn’t have a page AFAIK. More info as it emerges.

(BTW, there’s a recording of my webinar last week on learning science.)

This actually presents a pretty fair coverage of my areas of focus, so if any one (or more) is of interest, here’s a chance to see my thoughts. My general focus, as I like to quip, is on those things L&D isn’t doing, and what they’re doing badly. Which is most everything! 😁  I’m sure more webinars will eventuate, but that’s it for now. So there you go, an update on my webinars. Hope to see you there!

Habits and variety

6 January 2021 by Clark Leave a Comment

Having heard it’s good for maintaining cognitive ability, I like to vary things. And, to keep doing things right, I like habits. Are these mutually exclusive? Maybe, but here’re some thoughts on habits and variety.

It’s been touted that a great way to fend off the diminishment of cognitive capability is to do things differently. So, for instance, turning off the hall light before going down the hall on your way to bed. That is, finding your way in the dark. And, in general, trying things different ways. The notion is, this continual active cognitive challenge keeps your thinking ability from decaying. And that’s a good thing.

On the other hand, habits are helpful. For instance, having a regular approach to brushing your teeth. If you’ve established a good approach regularly, muscle memory can carry you through a late bedtime. And, in general, habits can help us make sure we do certain things that are good for us.

Is there a reconciliation? Here’s my just brainstorming, but I think that  when you have a good awareness of the habit, varying it is a good procedure. You’re actively problem-solving, versus throwing yourself off balance at a bad time. So, taking on a challenge clear-headedly is good.

Now, we know that, for instance, training for emergencies and unexpected situations leads to better learning. That’s why varying practice is helpful. So wouldn’t unexpected challenges be even better? Probably, but I reckon we get enough of these in life anyway!  That time you find out that you’re out of tea unexpectedly. Or when your car won’t start. Then we have challenges. And despite our best habits, the world seems to find ways to thwart our plans.

Now, changing bad habits to good ones is even harder. And then there’s the difference between habits and ritual. But those’er topics for another time.

So there are my thoughts on habits and variety. Do it, when you can devote enough cognitive resources to still be successful. That’s my approach, at least. There’s enough randomness in my life otherwise!

(And, yes, I’m not filming this one. Got to it too late! The world, thwarting my plans…)

The plusses and minuses of learning science research

25 August 2020 by Clark 1 Comment

A person who I find quite insightful (and occasionally inciteful ;) is Donald Clark. He built and sold Epic, an elearning company, and now he leads a learning AI company, Wildfire. He’s knowledgeable (for instance, having read up and summarized centuries of learning theorists), willing to call out bad learning, and he’s funny. And so, when he reported on a new study, I of course looked into it. And I find that it points out the plusses  and  minuses of learning science research.

To be clear, this is about his product, so there’s a vested interest. However, he’s got integrity; he’s not going to sully his reputation with a bad study. And, it’s a good study. It rightly demonstrates an important point. It’s just that it stops short of what we need for full  learning.

So, his product does something pretty amazing. You give it content, and it can not only answer questions about the content (as, for instance, some chat tools do), it can turn the tables and ask  you questions about the content. That is, it can serve as a sort of tutor. Which is all to the good.

What it can’t do, of course, is design meaningful practice. As Van Merriënboer’s Four Component Instructional Design (4C/ID) points out, you need to know the information, and you also need practice applying it. And I reckon we’re still far from that. So, while this is part of a whole solution (and Donald knows this), it’s not the full solution. He’s subsequently let me know it can do language tasks, which is impressive. I’m thinking more of contextualized scenarios, however.

The study demonstrates, as you might expect, that breaking up a video into reasonable chunks, and having system-generated questions asked in-between, led to 61% better retrieval, going from getting 8 to 14 questions right. That is a big improvement. it’s also impressive, since it’s generating those questions from video! That is, it parses the video, establishes a transcript, and then uses that to generate a knowledge base. Very cool.

And it’s a well-designed study. It’s got a control group, and a  reasonable number of subjects. It uses the same test material, for an AB comparison. Presumably, the video chunking was done by hand, into four pieces. The chunking and break might account for the difference, which wasn’t controlled for, but it’s still a big improvement. Granted, we know that watching a video alone isn’t necessarily going to improve retention (except, perhaps, over some other non-interactive way of dumping content). But still, this is good as it’s an improvement and a lot of work was saved.

What I quibble about, however, is the nature of the retrieval. The types of questions liable to be asked (and it’s not indicated), are knowledge questions. As suggested above, knowledge is a necessary component. But using that knowledge to make decisions in context is typically what our goals are. And to achieve such goals, you basically have to practice making decisions in context. (Interestingly, the topic here was equality and diversity, a topic he has complained about!)

Knowledge about a topic isn’t likely to impact your ability to apply it. What will  make a difference are actually doing things about it, like calling it out, having consequences, and actively working to remedy imbalances. And that requires separate practice. Which he’s acknowledged in the past, and rightly points out that his solution means you can devote more resources to that end.

Thus, the plusses of learning science research are we nibble away at the questions we need to answer, and find answers about the questions we ask. The minus, of course, is not necessarily asking the most important questions. It’d be easy to see this and say: “we’ve improved retention, and we’re done”. However, it won’t necessarily lead to reducing the behaviors being learned about, or building ability to deal with it.  There are plusses and minuses of learning science research, and we need to know the strengths, and limitations, of it when we hear it.

Thinking Transformation

11 August 2020 by Clark Leave a Comment

This pandemic has led to everyone scrambling to work digitally. And it‘s not really a transformation (which shouldn‘t be ‘digital first‘), but rather just ‘move what we do online‘. And that‘s understandable. Over time, however, I think we want to shift our mindset. And, I think a previous exercise in thinking transformation is valuable here. I‘m talking mobile.

When I originally was talking about mobile, I was doing so from a perspective of augmenting our brains. The 4C‘s framework was a way to think about core mobile affordance from a point of view of what mobile offers. Then I moved on to the role the devices play in our (working) life. It‘s about not just courses on a phone, but:

  • Augmenting formal learning: extending it
  • Performance support: cognitive augmentation
  • Social: tapping into the power of social and informal learning
  • Contextual: mobile‘s unique opportunity

And, I suggest, these are valuable ways to think about using technology in general to support us. On principle, I like to think about how technology supports our thinking (not the other way around ;). To future-proof what I propose is one driver, so tech changes don’t undermine relevance. Further, since mobile is a platform – a strategy not just a tactic – focusing on fundamentals makes sense.

For instance, elearning shouldn‘t look like just a classroom online. That can and arguably should be part of it, but there‘s more. It‘s about extending formal learning, not just delivering it. And aligning with how we really learn, because it really does have to be effective.

Similarly, with folks working from wherever, thinking about the support they need is important. What tools, aids, guides, etc., will help them work more effectively without their prior context? Let’s change workflows to align better with what‘s known about how we work.

And making people available in useful ways for communication and collaboration is important. The demands of online meetings are becoming more prevalent and onerous. Zoom fatigue is a thing!   How can we optimize the experience?

Contextual is more uniquely mobile, taking advantage of where and when you are (and other contextual factors), but we probably do need to account for them more astutely. If your kids are in the other room, what does that do to your ability to work? Here, of course, is the greatest difference from mobile, but the mindset is still relevant.

So, for instance, when I ran a mobile course for the Allen Academy, we had a week dedicated to each of these elements (as well as kicking off a mobile mindset and closing on strategy). Given that it was still early in this new world, I didn‘t really push the thought of how this is a more general tactic. Of course, I now would.

And, given that I‘ll be running the course again, I definitely will! Look, mobile hasn‘t gone away, and we‘re possibly using mobile tools more now even though we‘re not on the road! So mobile‘s still relevant, and the mindset behind ‘thinking mobile‘ is even more relevant. I’ll be talking with Christopher Allen of Allen Interactions about it tomorrow (12 Aug) at 11AM PT, 2 Eastern (see below). And, if you‘re interested in the course, check it out!

Wanna talk meaning, learning science, and more…?

22 June 2020 by Clark Leave a Comment

The L&D conference, starting today, has a wide variety of things going on. I’m actually impressed, because in addition to the asynchronous and synchronous sessions I knew about, there are a number of other things going on. Including things I’m in. So, do you wanna talk meaning, learning science, and more…? Here’s when and how.

In addition to the presenters who have prepared asynchronous learning experiences, and the live presentations by the same and others, there are other things going on. There are panels on, for instance, on diversity & inclusion, state of learning, learning technology, women in learning, as just a few. There are also debates on games, evaluation, to e- or not to e-, at least. Lots of interesting topics. But wait, there’s more!

There are also networking sessions, a quiz show, roundtable breakouts, breakfast/cocktail (depending on timezone) networking, … There are also some interviews with prominent folks, both specifically for the conference and some legacy ones courtesy of Guy Wallace (HPT guru). And there’s either or both of more I don’t know about, and more to come.

A special mention for the CrowdThinking project, in collaboration with IBSTPI. My colleague, Fernando Senior, will be leading an event to understand the current and anticipated requirements for L&D roles. And there’s a survey you’re requested to fill out regardless of whether you’re attending the conference. Please help!

As for me, first, my asynchronous session is on Learning Science 101. I’ve created some short videos that talk about, and illustrate, a number of things our cognitive architecture has to account for. And, hint hint, it presages something hopefully to be announced soon.

My synchronous sessions (two different times; they’re making a serious effort to reach out globally) are 3PM ET (noon PT) Wed July 1, and 11AM ET (8AM PT) on July 8. Here, I’ll be talking about what I think is a huge missed opportunity and addressable (tho’ not simple) element of our learning design. I’ll also be part of the panel on learning science (The State of Learning) 8AM PT July 9 and 11 AM PT July 17. And, a reprise of the great debate on evaluating learning or impact (4PM PT 25 June).

And, importantly, I’ll be holding some office hours where we can truly talk about learning science, meaningfulness, and more! So will the other presenters. (They’re still to be set; I’ll update here when I know!)

Of course, there is a host of other really great speakers. Have a look at this lineup! Also, guests for a variety of things will include people like Charles Jennings & Jos Arets, Paul Kirschner, and many many more. Most of the live sessions have two times, so there’s a good chance you can catch them sometime. And there’s no overlap (so far ;), but things going on every day.

If, by the way, you are thinking about attending the  conference, but have some struggles with cost, get in  touch  with me. I may have a way to help out ;).   I hope to see you there, whether you want to be talking meaningful learning, or for any of the other myriad reasons.

As you can probably infer, I’m interested in this. It’s not surprising, but most online events have mimicked face-to-face events. Webinars, basically. Here there’s more going on. I don’t expect all of it to work (though it all sounds good), but I love that they’re experimenting to find ways to go beyond. We’ll all learn from this initiative. Hope to see you there if you wanna talk meaning, learning science, and more…

 

Adapting to change

28 April 2020 by Clark Leave a Comment

We live in interesting times. And, of course, that means many things have changed. Some for the worse, some for the better. I thought I’d just overview some of ways I’m adapting to change, so you can keep track and take advantage.

I was scheduled to do a number of things. One that wasn’t on the list was a trip to Brazil in May, also to give a talk (at least). And, of course, Boston, Brazil,  and Belgium have all been postponed. Understandably. And, sadly, my Quinnsights column had to cease. That might seem, then, to take away all opportunities for me to educate, but in the meantime, in addition to my ongoing Litmos blog (at least for now!), other things have surfaced.

For one, I’ll be doing a course for the Allen Academy.   I’ll be talking about mobile learning, a topic I’ve had  some experience with ;). It starts soon, 6 May. I’ll be clear: it’s about ‘thinking’ mobile, which means getting your mind around much much more than ‘courses on a phone’. And it’s about design and strategy, not development. No bit spinning. After all, I’ve quipped about the importance of getting the design right.

Another is the upcoming L&D conference. I’ll be talking “Learning Science 101”, which I think is much needed and also doable. This is a new online event conjured up by some colleagues to meet a need. And, I’m happy to say, there’s a lot to like: thinking really hard about how to take advantage of online for conference-style learning, a great lineup of speakers. This starts June 22, and last 6 weeks, so already you can see it’s different.

Two other non-event things to note. My first two books,  Engaging Learning  and  Designing mLearning, were out of print. Fortunately, when that happens, publishing contracts say the rights can revert to the author if they request it. And…they did!   I’ve taken them with minimal modification (had to remove one case study from the latter; some minor tweaks), and made them available through Kindle. At a greatly reduced price!

And, of course, I’m still working in a variety of ways. Including being available to help you with moving courses or working online. And scheming up more things. I’m tentatively scheduled for another tome, and one was already underway. Somewhat under wraps still, but…

So those are the things I’m doing adapting to change. Not to worry, there’ll be more, in this volatile age. I’m trying to practice what I preach about experimentation, so there’ll likely be other new things percolating. Stay tuned!

Extreme Times

21 April 2020 by Clark 2 Comments

This was originally intended to be one of my Learning Solutions Mag columns (Quinnsights). Sadly, that platform is no longer an option. Guess this  is part of the extreme times! It’s a bit long for my usual posts, but I didn’t want it to go to waste.  

In 2004, I co-wrote a chapter with Eileen Clegg for Marcia Conner & James G. Clawson‘s Creating a Learning Culture book to accompany the event they held on the topic. Eileen‘s husband was doing research on ‘extremophiles‘, organisms that survive in extreme conditions, and we were looking at biomimetic inspiration from those mechanisms. Titled The Agility Factor, I think the lessons we wrote about are all the more important now in these extreme times.

Sure, at this point everyone is touting solutions for working and learning at home. With most of the population under some form of lockdown, there are a lot of prescriptions, to the extent there’s already a backlash! Even I‘ve been guilty. But here I want to talk a bigger scope than just learning. People are worried. Organizations are struggling.

At the time, our commentary was largely reacting to the crash of the internet bubble circa 2001. Times were tough, and organizations were wondering how to cope. Fast forward to 2020, and we‘re in even more dire circumstances. While then we had economic turmoil, now we‘re adding in a lethal disease. Uncertainly abounds. Our employees, our managers, our executives are all scrambling to make sense. And so, I thought it appropriate to revisit those lessons in this new era, and consider the technology/human intersection in these times.

Coping with Extreme Times

One of the main issues that contextualizes this conversation is that different organizations are at different places in their digital transformation. And, as I opined recently, it‘s about getting the culture right first.

It‘s easy to think of organizations that just haven‘t yet started using digital, and are faced with the need to change. They‘re going to struggle. There is a lot of guidance out there, but if you haven‘t got your mind around the technology, or what communication, collaboration, and learning are all about, there‘s more to it.

If you‘ve started with some experimentation, it should be easier. You‘ve tried out some things, and so you‘ve had some technology experience. You may well have tried and failed, but the knowledge from losses should be useful too! That‘s what a learning organization is all about.

Which means that another organization type that will struggle is the one that‘s rigidly hierarchical. One that‘s had all the thinking done up top, and filtered down. They may well have dictated technology practices, but they‘re likely more about making things more efficient. And so, trying to be effective at scale at distance is a different issue.

Instead, the organizations that thrive are those that are continually experimenting, learning, and moving forward. I reckon many folks are wishing they‘d tried out some things already, rather than scrambling. Of course, this is different not just quantitatively, but qualitatively, and that means we‘re going beyond just adaptation. We need to go big in extreme times!

Extremophiles

Across the globe, and presumably the universe, conditions vary from desiccating heat to crippling cold. Environments may have high toxicity owing to chemicals, salt, and more. And, as circumstances change, organisms need to adapt. And yet, life somehow exists in many of these circumstances. How? Through a variety of mechanisms. Not all are unique to extremophiles, but each is used and provides some insight. Here are the suite we talked about:

  • Ionic bonds: while all organisms have proteins connected by ionic bonds, extremophile organisms have more and stronger bonds.
  • Environmental monitoring: here, the organism is in tight coupling with the environment, the better to respond, though sometime the responses are unusual.
  • Heat-shock proteins: special proteins are released under threat to help protect other proteins.
  • Equilibrium: extremophiles can not only attempt to expel any toxicity, certain extremophiles work to neutralize the toxic element internally.
  • Symbiosis: certain organisms create unique relationships that allow them to mutually coexist in extreme conditions.

For each of these there are organizational corollaries that we can consider, and then we can look at how technology and learning & development can help. We need to go beyond the usual and think about how to do these in a big way.

Organizational Equivalents

How do translate these? There are not direct transfers, but inferences we can make. Just as organizations been using inspirations from animals to guide new thinking in products, here we‘re looking at inspirations for how to work together better. What do organisms that adapt to environmental extremes mean for organizations coping in extreme times?

First, strengthening the bonds is about building trust in the organization and believing in the organizational mission. First, of course, it‘s about connecting people, so that they care about one another. And having managers work as coaches, using data to improve folks, not censure them. Then, as Dan Pink, in Drive, helped us know, it‘s about connecting people to purpose. That means an organization has to have a meaningful purpose, one that people feel proud to align with. And everyone in the org needs to understand how their role contributes. Yes, this is all work, but the point is that these organisms invest extra effort to be able to withstand extraordinary conditions.

Environmental monitoring isn‘t new, as most organizations track market trends, competitive analysis, customer sentiment, and more. Here it means going further, with everyone being active in their community of practice and actively monitoring trends in related fields for implications to improve practice. The organization needs to be sensitive to what‘s happening in rich and deep ways. This has to not be done as a special operation, but permeate the organization.

Heat shock proteins suggest a proactive approach to trouble. One form is internal monitoring for problems. Health initiatives in the organization are not just promoting healthy behaviors, but also actively developing the skills to notice and watch out for your fellow employee. It‘s about caring enough to look for signs of struggle and reach out and try to help. In times like this, it‘s more, ensuring that as people face changes, they have support to understand, act differently, and persist until it becomes a new way of doing things.

Equilibrium is an interesting one that suggests taking in new ideas, trying them out, and seeing what they imply. Think “let‘s try it out and see how it‘s re-contextualized here and then what it might mean that we can do better”, not “that‘s not how we do it here”. It‘s about experimentation, and internalizing new ideas. It‘s got to be more than just copying (e.g. best practices), and going beyond to understand the underlying ideas and modifying them to work in this context (e.g. best principles).

Finally, symbiosis implies working with other organizations in a radically more integrated manner. Instead of just consuming things, you look at the practices that were instituted by Toyota. They looked at their supply chain partners and assisted them in becoming more effective and efficient. It‘s about radical cooperation.

L&D Technology Role

So, given that we‘re about eLearning, what‘s the role of technology here? At core, it‘s about communication. It‘s about moving to showing your work, including mistakes and lessons learned (always together).   And there are lots of ways to do this.

One of the most important steps is to have bosses, managers and executives, share their thinking. I know, it seems risky, but it builds trust. If ‘the boss‘ is willing to admit mistakes, it makes the environment feel safe. And that builds those bonds that will help an organization weather tough times.

It also means helping individuals develop active monitoring skills. There are tools that track outside news and filter it for particular interests. Everyone can tailor their own feed. And this is part of building your personal knowledge mastery. Everyone should be looking for new ideas to improve.

The new ideas need, of course, to be coupled with experimentation, such as equilibrium suggests. And this may involve collaboration to make it work. So collaborative tools are important to develop testing plans and evaluate outcomes. Building in an expectation of lessons learned, and having scheduled sharing events for these lessons, is a complement. And, if not digitally moderated, at least capturing and sharing the outcomes for others to learn from.

It‘s important also to support people in these new ways of working. Don‘t just expect them to get it, but build support into and/or around the tools. Don’t just train, but anticipate struggles and build support. And have support for unanticipated struggles! This also includes quick references about what to do when you‘re worried about someone or even yourself. This is the heat-shock approach of preventing breakdowns during the transitions.

And, of course, building a network that includes your partners along the supply chain is the symbiotic approach. It‘s about building a sharing community that can help them be better, and they can do the same for you. It‘s also about collaboration, working together on problems rather than casting blame. This builds bonds with them too!

The L&D role is to facilitate all this communication and collaboration. In extreme times, L&D is part of the solution. Continual learning is required, and building a strong framework for keeping people together to work and learn is critical. We’re increasingly learning that working together is better; bake that into your own operations!

What’s in an image?

30 January 2020 by Clark Leave a Comment

My post earlier this week on the images processed 60K faster prompted some discussion (over on LinkedIn ;). And there appears to be some debate about the topic. I think it revolves around the issue of just  what’s  in an image. So let’s unpack that.

So, the claim is that ‘images’ are processed 60K faster than text. And, of course, trying to find the actual citation has been an exercise in futility. But can we address it on principle? I’ll suggest we can.

Let’s take it apart. What’s in an image?  Is it a photo? A diagram? An infographic? Even a video?  I think we need to nail it down. So let’s talk about the presumed cognitive processing that goes on.

Let’s start with photos. They capture context. If it’s a familiar context, processing likely happens almost immediately. But others? Not so fast. Unless a context has already been established, a picture isn’t going to make much sense. That is, we probably should account for the context processing as part of the story.

As soon as we get to diagrams, the story gets more complex. Ok, Jill Larkin and Herb Simon once opined on  Why a Diagram is worth 10000 words, but it’s about mapping conceptual relationships to spatial relationships. And I’ll still argue you need to process the elements, and the relationships, before you understand it. So it’s not instantaneous.

And, yes, there’s the lovely example in Don Norman’s  Things That Make Us Smart, where he showed how a relationship was more quickly processed than the equivalent text description (he kindly didn’t mention it was from my Ph.D. thesis ;). Yet not all text can be replaced by images.  What would convey Nike’s  Just Do It  slogan more concisely than that text? You’d have to establish the relationship  first. E.g. their ‘swoop’.  As I mentioned, familiar words are processed essentially as images, as whole words, not being processed by individual characters.

The same holds true for infographics, by the way. They’re not ‘grokked’ immediately. They need to be parsed in terms of message, and flow, and information. They’re a mashup of text and info, but that doesn’t make it any faster. Though they  may support retention, but we should use diagrams and images appropriately  with text.

Video’s even more complex. It’s a linear medium, as is text. And it’s powerful, but is it processed more efficiently? Again, I think it depends on what you’re saying. A video can be a narrated slide show. Is that faster than reading the text? I read faster than folks speak.

Which brings me to my take-home conclusion. A simple statement like “images processed 60K faster than text) is misleading.  What image? It all hinges on  what’s  in an image. Be vary wary of such claims. In the previous article, I provided some questions to ask yourself. And I may have to rant again about myths in general!

Upcoming TK2020’s new approach

24 December 2019 by Clark Leave a Comment

Amongst the conferences I go to (frequently the eLearning Guild events, others as invited or doing something) is ATD’s Techknowledge. And I’ll be there again this coming year (get 10% with this code: 30TK2020). And while I think both offerings are of interest, one is more problematic. So I’m asking your help in dealing with the upcoming TK2020’s new approach.

It’s in San Jose, which is always nice since it means I don’t have to get on a plane. (I don’t object, but I’d prefer to train or drive.). It’s at the beginning of February (5-7), which  can be a quiet time. Also, Downtown San Jose has some really nice dining options (e.g. the mega food court at San Pedro Square Market). And the weather’s unlikely to be icy or snowy. Maybe some rain, but tolerable temperatures. So it’s convenient all around.

One session I’m doing is a traditional one hour presentation. This is one I trialed on my local chapter, and I enjoyed it and it seemed they did too. It’s about how learning science suggests changes to curriculum and pedagogy. (Officially it’s “Transforming Learning: A Learning Science-Based Curriculum and Pedagogy.”) It’s very LXD, and I think there are some interesting and challenging observations in it. In particular, I’ll be bringing in the Free Energy principle and it’s implications about why learning can and should be transformative. And more.

The other session is something new in format. They’re being adventurous, and kudos to them. They’re creating a suite of stages doing a variety of different themes (in their words):

  • In the Build area, you‘ll engage in hands-on learning and experimentation with the latest learning technologies.
  • The Disrupt area will feature ten hyper-focused facilitator-led conversations about industry issues.
  • At the Spark area you’ll find your next big idea through mini-sessions and discussions on emerging trends.
  • At the Connect area, you‘ll participate in structured topic or industry-focused networking with your peers.
  • The Advance area will allow you to hone your skills in specific areas by participating in accelerated, mini-sessions and discussions.
  • At the Explore area you‘ll examine case studies of named organizations for new ideas and inspiration. Play sparks creativity, and what you do here will ignite your potential.

My session is in the Disrupt area, and not surprisingly the topic is myths. Well, the official title is “Professionalism in Practice: Resisting Hype, Myths, Superstitions, and Misconceptions.” The issue is what to do!

I have 30 minutes. And I can see several things to do. The question is, which one is most appealing/interesting, and effective? So I’m hoping you’ll help determine what I should be doing for the  upcoming TK2020’s new approach.

Some options:

Make it just a Question and Answer session. I could open it up to whatever people would like to hear about myths and how to be prepared to withstand them.

Another option would be to do it as a slightly game show event; I did this with Jay Cross one time. I’d pick nine topics, put them up on the screen in a 3 x 3 grid, and address them in the order people choose.

In the spirit of the description, I’m  not going to just give a presentation, but “hyper-focused” means what? Maybe wrap a format around several top myths? (How many can I do in 30 minutes?) Asking attendees “what makes this appealing”? Then a brief explanation of why it’s wrong. Then “what might you do instead?” And, finally “how can you prevent this?”

Or, focusing on the ‘resist’, I could crowd-source ideas around a general model of resistance. Asking, in some order: “Where do myths come from?” “Who can you trust?” “What’s good evidence?” “How would you do it yourself?” “What’s a practical process we can use?”

Or something else?

Obviously, I’m not short of ideas, but converging is challenging, I can see pluses and minuses on each. So, I thought I’d ask you all what you think about how I should adapt to the upcoming TK2020’s new approach. Feedback not just welcome, but eagerly solicited!

So, c’mon, give me a gift here! (Obligatory season imprecation; or of course an interesting project for your organization ;).  And happy holidays to you and yours, and all the best for the coming year.

Content systems not content packages

17 December 2019 by Clark 1 Comment

In a conversation last week (ok, an engagement), the topic of content systems came up. Now this is something I’ve argued for before, in several ways. For one, separate content from how it’s delivered. And, pull content together by rules, not hardwired. And it’s also about the right level of granularity. It’s time to revisit the message, because I thought it was too early, but I think the time is fast coming when we can look at this.

This is in opposition to the notion of pre-packaged content. MOOCs showed that folks want to drill in to what they need. Yet we still pull everything together and launch it as a final total solution. We are moving to smaller chunks (all for the better; even if it is burdened with a misleading label). But there’s more.

The first point is about content models. That we should start designing our content into smaller chunks. My heuristic is the smallest thing you’d give one person or another. My more general principle is that resolves to breaking content down by it’s learning role: a concept model is different than an example is different than a practice.

This approach emerged from an initiative on an adaptive learning system I led. It now has played out as a mechanism to support several initiatives delivering content appropriately. For one, it was supporting different business products from the same content repository. For another it was about delivering the right thing at the right time.

Which leads to the second point, about being able to pick and deliver the right thing  for the context.  This includes adaptive systems for learning, but also context-based performance support. With a model of the learner, the context, and the content, you can write rules that put these together to optimally identify the right thing to push.

You can go further. Think of two different representatives from the same company visiting a client. A sales person and a field engineer are going to want different things in the same location. So you can add a model of ‘role’ (though that can also be tied to the learner model).

There’s more, of course. To do this well requires content strategy, engineering, and management. Someone put it this way: strategy is what you want to deliver, engineering is how, and management is overseeing the content lifecycle.

Ultimately, it’s about moving from hardwired content to flexible delivery. And that’s possible and desirable. Moreover, it’s the future. As we see the movement from LMS to LXP, we realize that it’s about delivering just what’s needed when useful. Recognizing that LXPs are portals, not about creating experiences, we see the need for federated search.

There’s more: semantics means we can identify what things are (and are not), so we can respond to queries. With chatbot interfaces, we can make it easier to automate the search and offering to deliver the right thing to the right person at the right time.

The future is here; we see it in web interfaces all over the place. Why aren’t we seeing it yet in learning? There are strong cognitive reasons (performance support, workflow learning, self-directed and self-regulated learning).  And the technology is no longer the limitation. So let’s get on it. It’s time to think content systems, not content packages.

 

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