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Clark Quinn’s Learnings about Learning

To LMS or not to LMS

3 May 2017 by Clark 5 Comments

A colleague recently asked (in general, not me specifically) whether there’s a role for LMS functions. Her query was about the value of having a place to see (recommended) courses, to track your development, etc. And that led me to ponder, and here’s my thinking:

My question is  where to draw the line. Should you do social learning in the LMS version of that, or have a separate system? If using the LMS for social around courses (a good thing), how do you handle the handoff to the social tool used for teams and communities?  It would seem to make sense to use the regular tool in the courses as well, to make it part of the habit.

Similarly, should you host non-course resources in the LMS  or out in a portal (which is employee-focused, not siloed)? Maybe the courses also make more sense in the portal, tracked with xAPI?  I think I’d like to track self-learning, via accessing videos and documents the same as I would formal learning with courses: I want to be able to correlate them with business to test the outputs of experiments in changes.

Again, how should I be handling signups for things?  I handle signups for all sorts of things via tools like Eventbrite.  Is asking to signup for a training, with a waiting list, different than other events such as a team party?

Now, for representing your learning, is that an LMS role, or an LRS dashboard, or…?  From a broader perspective, is it talent management or performance management or…?

I’m not saying an LMS doesn’t make sense, but it seems like it’s a minor tool at best, not the central organizing function.  I get that it’s not a learning management system, but a course management system, but is that the right metaphor?  Do we want a learning tracking system instead, and is that what an LMS if or could be for?

When we start making a continuum between formal and informal learning, what’s the right suite of tools? I want to find courses and other things through a federated search of *all* resources. And I want to track many things besides course completions, because those courses should have real world-related assignments, so they’re tracked as work, not learning. Or both. And I want to track things that we’re developing through coaching, or continuing development through coaching and stretch assignments. Is that an LMS, or…?

I have no agenda  to put the LMS out of business, as long as it makes sense in modern workplace learning. However, we  want to use the right tool for the right job, and create an ecosystem that supports us doing the right thing.    I don’t have an obvious answer, I’m just trying on a rethink (yes, thinking out loud ;), and wondering what your thoughts are.  So, what is the right way to think about this? Do you see a uniquely valuable aggregation of services that makes sense? (And I may have to dig in deeper and think about the essential components and map them out, then we can determine what the right suites of functions  are  to fulfill those needs.)

Human Learning is Not About to Change Forever

26 April 2017 by Clark 1 Comment

In my inbox was an announcement about a new white paper with the intriguing title  Human Learning is About to Change Forever.  So naturally I gave up my personal details to download a copy.  There are nine claims in the paper, from the obvious to the ridiculous. So I thought I’d have some fun.

First, let’s get clear.  Our learning runs on our brain, our wetware. And that’s not changing in any fundamental way in the near future. As a famous article once had it: phenotypic plasticity triumphs over genotypic plasticity (in short, our human advantage has gained    via  our ability to adapt individually and learn from each other, not through  species evolution).   The latter takes a long time!

And as a starting premise, the “about to” bit implies these things are around the corner, so that’s going to be a bit of my critique. But nowhere near  all of it.  So here’s a digest of the  nine claims and my comments:

  1. Enhanced reality tools will transform the learning environment.  Well, these tools will  certainly augment the learning environment  (pun intended :). There’s evidence that VR leads to better learning outcomes, and I have high hopes for AR, too. Though is that a really fundamental transition? We’ve had VR and virtual worlds for over a decade at least.  And is VR a evolutionary or revolutionary change from simulations? Then they go on to talk about performance support. Is that transforming learning? I’m on record saying contextualized learning (e.g. AR) is the real opportunity to do something interesting, and I’ll buy it, but we’re a long way away. I’m all for AR and VR, but saying that it puts learning in the hands of the students is a design issue, not a technology issue.
  2. People will learn collaboratively, no matter where they are.  Um, yes, and…?  They’re already doing this, and we’ve been social learners for as long as we’ve existed. The possibilities in virtual worlds to collaboratively create in 3D I still think is potentially cool, but even as the technology limitations come down, the cognitive limitations remain. I’m big on social learning, but mediating it through technology strikes me as just a natural step, not transformation.
  3. AI will banish intellectual tedium. Everything is  awesome.  Now we’re getting a wee bit hypish. The fact that software can parse text and create questions is pretty impressive. And questions about semantic knowledge aren’t going to transform education. Whether the questions are developed by hand, or by machine, they aren’t likely on their own to lead to new abilities to do. And AI is not yet to the level (nor will it be soon) where it can take content and create compelling activities that will drive learners to apply knowledge and make it meaningful.
  4. We will maximize our mental potential with wearables and neural implants. Ok, now we’re getting confused and a wee bit silly. Wearables are cool, and in cases where they can sense things about you and the world means they can start doing some very interesting AR. But transformative? This still seems like a push.  And neural implants?  I don’t like surgery, and messing with my nervous system when you still don’t really understand it? No thanks.  There’s a lot more to it than managing to adjust firing to control limbs. The issue is again about the semantics: if we’re not getting meaning, it’s not really fundamental. And given that our conscious representations are scattered across our cortex in rich patterns, this just isn’t happening soon (nor do I want that much connection; I don’t trust them not to ‘muck about’).
  5. Learning will be radically personalized.  Don’t you just love the use of superlatives?  This is in the realm of plausible, but as I mentioned before, it’s not worth it until we’re doing it on  top of good design.  Again, putting together wearables (read: context sensing) and personalization will lead to the ability to do transformative AR, but we’ll need a new design approach, more advanced sensors, and a lot more backend architecture and semantic work than we’re yet ready to apply.
  6. Grades and brand-name schools won‘t matter for employment.  Sure, that MIT degree is worthless! Ok, so there’s some movement this way.  That will actually be a nice state of affairs. It’d be good  if we started focusing on competencies, and build new brand names around real enablement. I’m not optimistic about the prospects, however. Look at how hard it is to change K12 education (the gap  between what’s known and what’s practiced hasn’t significantly diminished in the past decades). Market forces may change it, but the brand names will adapt too, once it becomes an economic necessity.
  7. Supplements will improve our mental performance.  Drink this and you’ll fly! Yeah, or crash.  There are ways I want to play with my brain chemistry, and ways I don’t. As an adult!  I really don’t want us playing with children, risking potential long-term damage, until we have a solid basis.  We’ve had chemicals support performance for a while (see military use), but we’re still in the infancy, and here I’m not sure our experiments with neurochemicals can surpass what evolution has given us, at least not without some pretty solid understanding.  This seems like long-term research, not near-term plausibility.
  8. Gene editing will give us better brains.  It’s  alive!  Yes, Frankenstein’s monster comes to mind here. I do believe it’s possible that we’ll be able to outdo evolution eventually, but I reckon there’s still not everything known about the human genome  or the human brain. This similarly strikes me as a valuable long term research area, but in the short term there are so many interesting gene interactions we don’t yet understand, I’d hate to risk the possible side-effects.
  9. We won‘t have to learn: we‘ll upload and download knowledge. Yeah, it’ll be  great!  See my comments above on neural implants: this isn’t yet ready for primetime.  More importantly, this is supremely dangerous. Do I trust what you say you’re making available for download?  Certainly not the case now with many things, including advertisements. Think about downloading to your computer: not just spam ads, but viruses and malware.  No thank you!  Not that I think it’s close, but I’m not convinced we can ‘upgrade our operating system’ anyway. Given the way that our knowledge is distributed, the notion of changing it with anything less than practice seems implausible.

Overall, this is reads like more a sci-fi fan’s dreams than a realistic assessment of what we should be preparing for.  No, human learning isn’t going to change forever.  The ways we learn, e.g. the tools we learn with are changing, and we’re rediscovering how we really learn.

There are better guides available to what’s coming in the near term that we should prepare for.  Again, we need to focus on good learning design, and leveraging technology in ways that align with how our brains work, not trying to meld the two.  So, there’re my opinions, I welcome yours.

Top 10 Tools for @C4LPT 2017

19 April 2017 by Clark Leave a Comment

Jane Hart is running her annual Top 100 Tools for Learning poll  (you can vote too), and here’s my contribution for this year.  These  are my personal learning tools, and are ordered  according to Harold Jarche’s Seek-Sense-Share models, as ways to find answers, to process them, and to share for feedback:

  1. Google Search is my go-to tool when I come across something I haven’t heard of. I typically will choose the Wikipedia link if there is one, but also will typically open several other links and peruse across them to generate a broader perspective.
  2. I use GoodReader on my iPad to read PDFs and mark up journal submissions.  It’s handy for reading when I travel.
  3. Twitter  is one of several ways I keep track of what people are thinking about and looking at. I need to trim my list again, as it’s gotten pretty long, but I keep reminding myself it’s drinking from the firehose, not full consumption!  Of course, I share things there too.
  4. LinkedIn is another tool I use to see what’s happening (and occasionally engage in). I have a group for the Revolution,  which largely is me posting things but I do try to stir up conversations.  I also see and occasionally comment on posting by others.
  5. Skype  let’s me  stay in touch with my ITA colleagues, hence it’s definitely a learning tool. I also use it occasionally to have conversations with folks.
  6. Slack is another tool I use with some groups  to stay in touch. People share there, which makes it useful.
  7. OmniGraffle is my diagramming tool, and diagramming is a way I play with representing my understandings. I will put down some concepts in shapes, connect them, and tweak until I think I’ve captured what I believe. I also use it to mindmap keynotes.
  8. Word is a tool I use to play with words as another way to explore my thinking. I use outlines heavily and I haven’t found a better way to switch between outlines and prose. This is where things like articles, chapters, and books come from. At least until I find a better tool (haven’t really got my mind around Scrivener’s organization, though I’ve tried).
  9. WordPress is my blogging tool (what I’m using here),  and serves both as a thinking tool (if I write it out, it forces me to process it), but it’s also a share tool (obviously).
  10. Keynote is my presentation tool. It’s where I’ll noodle out ways to share my thinking. My presentations  may get rendered to Powerpoint eventually out of necessity, but it’s my creation and preferred presentation tool.

Those are my tools, now what are yours?  Use the link to let Jane know, her collection and analysis of the tools is always interesting.

Artificial Intelligence or Intelligence Augmentation

12 April 2017 by Clark Leave a Comment

In one of my networks, a recent conversation has been on Artificial Intelligence (AI) vs Intelligence Augmentation (IA). I’m a fan of both, but my focus is more on the IA side. It triggered some thoughts that I penned to them and thought I’d share here [notes to clarify inserted with square brackets like this]:

As context, I‘m an AI ‘groupie’, and was a grad student at UCSD when Rumelhart and McClelland were coming up with PDP (parallel distributed processing, aka connectionist or neural networks). I personally was a wee bit enamored of genetic algorithms, another form of machine learning (but a bit easier to extract semantics, or maybe just simpler for me to understand ;).

Ed Hutchins was talking about distributed cognition at the same time, and that remains a piece of my thinking about augmenting ourselves. We don‘t do it all in our heads, so what can be in the world and what has to be in the head?  [the IA bit, in the context of Doug Engelbart]

And yes, we were following fuzzy logic too (our school was definitely on the left-coast of AI ;).  Symbolic logic was considered passe‘! Maybe that‘s why Zadeh [progenitor of fuzzy logic] wasn‘t more prominent here (making formal logic probabilistic may have seemed like patching a bad core premise)?  And I managed (by hook and crook, courtesy of Don Norman ;) to attend an elite AI convocation held at an MIT retreat with folks like McCarthy, Dennett, Minsky, Feigenbaum, and other lights of both schools.  (I think Newell were there, but I can‘t state for certain.)  It was groupie heaven!

Similarly, it was the time of emergence of ‘situated cognition‘ too (a contentious debate with proponents like Greeno and even Bill Clancy while old school symbolics like Anderson and Simon argued to the contrary).  Which reminds me of Harnad‘s Symbol Grounding problem, a much meatier objection to real AI than Dreyfuss’ or the Chinese room concerns, in my opinion.

I do believe we ultimately  will achieve machine consciousness, but it‘s much further out than we think. We‘ll have to understand our own consciousness first, and that‘s going to be tough, MRI and other such research not withstanding. And it may mean simulating our cognitive architecture on a sensor equipped processor that must learn through experimentation and feedback as we do. e.g. taking a few years just to learn to speak! (“What would it take to build a baby” was a developmental psych assignment I foolishly attempted ;)

In the meantime, I agree with Roger Schank (I think he was at the retreat too) that most of what we‘re seeing, e.g. Watson, is just fast search, or pattern-learning. It‘s not really intelligent, even if it‘s doing it like we do (the pattern learning). It‘s useful, but it‘s not intelligent.

And, philosophically, I agree with those who have stated that we must own the responsibility to choose what we take on and what we outsource. I‘m all for self-driving vehicles, because the alternative is pretty bad (tho‘ could we do better in driver training or licensing, like in Germany?).  And I do want my doctor augmented by powerful rote operations that surpass our own abilities, and also by checklists and policies and procedures, anything that increases the likelihood of a good diagnosis and prescription.  But I want my human doctor in the loop.  We still haven‘t achieved the integration of separate pattern-matching, and exception handling, that our own cognitive processor provides.

Continual Exploration

4 April 2017 by Clark Leave a Comment

CompassI was reading about Digital Business Platforms, which is  a move away from   siloed IT systems  to create a unified environment. Which, naturally, seems like a sensible thing to do. The benefits are  about continual innovation, but I wonder if a more apt phrase is  instead  continual exploration.

The premise is that  it’s now possible to migrate from separate business systems and databases, and converge that data into a unified platform. The immediate benefits are that you can easily link information that was previously siloed, and track real time changes. The upside is the ability to try out new business models easily.  And while that’s a good thing, I think it’s not going to get fully utilized out of the box.

The concomitant component, it seems to me, is the classic ‘culture’ of learning. As I pointed out in last week’s post, I think that there are significant  benefits to leveraging the power of social media to unleash organizational outcomes. Here, the opportunity is to facilitate easier experimentation. But that takes more than sophisticated tools.

These tools, by integrating the data, allow new combinations of data and formulas to be tried and tested easily. This sort of experimentation is critical to innovation, where small trials  can be conducted, evaluated, and reviewed to refine or shift direction.   This sort of willingness to make trials, however, isn’t necessarily going to be successful in all situations.  If it’s not safe to experiment, learn from it, and share those learnings, it’s unlikely to happen.

Thus, the willingness to continually experiment is valuable. But I wonder if a better mindset is exploration. You don’t want to just experiment, you want to map out the space of possibilities, and track the outcomes that result from different ‘geographies’.  To innovate, you need to try new things. To do that, you need to know what the things are you  could try, e.g .the places you haven’t been and perhaps look promising.

It has to be safe to be trying out different things. There is trust and communication required as well as resources and permission. So here’s to systematic experimentation to yield continual exploration!

Top down or bottom up strategy?

21 March 2017 by Clark 1 Comment

In a recent discussion around HR strategy, the question arose about where to start.  That is, if you’ve bought into moving into the digital age, where do you begin.  The flip answer from the host of the event, a large consulting agency, was to hire them (and my flip reply is to ask whether you want newly minted MBAs following a process designed to be ‘heavy’, or someone coming in light and fast with an adaptive approach ;). But then they got serious, and responded that  you shouldn’t be reactive to people’s stated needs, and you needed data to identify what problems are crucial.  And I wasn’t satisfied with that, for two related reasons.  In short, I thought that was still reactive and that it wasn’t going to help you focus ahead, and that you needed top-down to complement bottom up.

This was buttressed by a post pointed out to me by my ITA colleagues that was arguing a good design strategy was to find out what people needed. And I’m reminded of the quote by Steve Jobs that you can’t just give people what they want, because by the time you  do, they’ve changed their minds.  And just finding what people need and doing it is a bit reactive, it seems to me, regardless.  Even, to be honest, finding the company’s biggest barriers, and addressing them, isn’t a sufficient response.  It’s a good one, but it’s not enough.

Interestingly, an HR Director sitting next to me was nodding her head during that response about the data. So afterward I asked her what sort of data she had in mind. I asked about both survey data, and business metrics, and she indicated both (and anything else ;).  And I think that’s a good basis. But not a sufficient one.

If you look at most design in the real world, you’ll see that designers cycle between top-down and bottom-up.  It helps to check that you’re indeed draining the swamp, but also to ensure you’re not getting eaten by alligators.  And that’s the point I want to make.

I’m (obviously) a believer in frameworks. I want conceptual clarity. And I don’t want best practices, I want to abstract best principles and recontextualize them.  But I also believe you need to check how you’re going, and regularly test.  There are some overarching results that should be incorporated: culture, innovation, performance support, etc. And they can be instituted in ways that address problems yet also develop your ability.

So I  do think collecting data on what’s going on, and identifying barriers is important.  But if you’re not also looking at the horizon and figuring out where you’re going in the longer term, you could be metaphorically ensuring no flat tires on a trip to the wrong neighborhood.  My short answer to their question would’ve been to document where you are, and where you want to get, and then figure out which of the top issues the data indicate sets you on a path to address the rest  and build your capability and credibility.

The change is here

1 March 2017 by Clark 2 Comments

For a number of years now (at least six), I’ve been beating the drum about the need for organizations to be prepared to address change. I’ve argued that things are happening faster, and that organizations are going to have to become more agile.  Now we’re seeing the evidence that the change has arrived.

a change purseTwo recent reports highlight the awareness. Gallup released a report  on The State of the American Workplace recently that talks about the lack of engagement at work.  Deloitte also released a report,  Rewriting the rules in the digital age,  that documents trends shifting the office environment.  With different perspectives, they both overlap in discussing the importance of culture.  It’s about creating an environment where people are empowered and enabled to contribute.

The Gallup  report concludes with new behaviors for leaders and managers.  The first point for leaders is to use data and focus on culture. This, to me, involves leveraging technology and creating an environment. L&D could be leading using performance data captured through the  ExperienceAPI, and facilitating the culture shift in courses and developing coaching. Their prescription for managers is  to move to be coaches (and again, L&D should be both developing the skills and facilitating the processes).  And employees need to take ownership of their own development, which means L&D should focus on both meta-learning and ensuring resources (curation  and creation) as well.

The second report is the more interesting one for me, because it’s about the trends and the ways to adapt.  The top two trends are the Organization of the future (c.f. The Workplace of the Future  :) and Careers and learning.  The former is about redesigning organizations to become agile.  The latter is about a redefinition of learning.  They are a wee bit old-school, however, as while they do discuss innovation throughout, it isn’t a core focus and their definition of learning doesn’t include informal learning.  It’s still a top-down model.  But again, clear opportunities for L&D.

The key leverage points, to me, are learning and technology.  And here I mean more self-directed and collaborative learning conducted not formally, but facilitated. Social learning really can’t be top-down!  Important technologies are for communicating and collaborating, as well as tools to search and find resources.

And while the focus is on HR, including recruitment and leadership, I reckon that L&D should have a key place here, as indicated. The world’s changing, and L&D needs to adapt.  It’s time to innovate L&D to support organizational innovation. Are you ready?

Revisiting the Ecosystem

28 February 2017 by Clark 6 Comments

One of the keys to the L&D  revolution is recognizing the full performance ecosystem and the ways technology can support performance and development.  I’ve tried to represent and share  my thinking via diagrams (including here, here, and here).  Prompted by a recent conversation, it was time to revisit the representation.

the performance ecosystemHere, I’m layering on several different ways to think about the goals, elements, etc.  (Given that this is an initial version, I’m kind of haphazard about labels like mechanisms, components, etc.)  To start, as I continually argue, at the bottom it’s about coupling optimal execution with continual innovation.  We need to do well those things we know we need to do, and then we need to continually improve.  I think that more and more of the optimal execution is getting automated.

On top of that, we have components – content and people  – and the tactics to leverage them. We create or curate content (curation over creation!), and we develop relationships through community or find appropriate expertise through recommendations or search.   The goal is to have the right content and the right people ‘to hand’ to work with.

We develop content elements like performance support to support performing in the moment, and learning resources for self-directed learning over time.  We also use courses, whether individual or collaborative, to develop people (particularly when they’re novices). I’d  put courses to the left and performance support to the right (above content) if we were talking about developing people (as I have here). So,  for novices we first use courses, then  practitioners need resources and coaching, and experts need interaction.   However, performance support is on  one side on a continuum of mechanisms from performing, to developing, to innovation.  That’s what I’ve captured here.

Similarly, we use social elements like coaching, mentoring, and informal learning to develop ourselves and our organizations over time.  We use  processes  like consuming and completing to execute. Then we  develop our ability to execute and the continue to learn through  communicating and collaborating.

There are lots of ways to represent the ecosystem, and given that elaboration theory tells us multiple representations help, here’s another stab. There are lots of elements to consider and fine tune, but I like to share my thinking to help it develop!  Overall, however, the opportunity is the chance to be contributing to organizational success in systematic and valuable ways. And that, I’ll suggest, is valuable. I welcome your thoughts.

Other writings

1 February 2017 by Clark Leave a Comment

It occurs to me to mention some of the other places you can find my writings besides here (and how they differ ;).  My blog posts are pretty regular (my aim is 2/week), but tend to have ideas that are embryonic or a bit ‘evangelical’. First, I’ve written four books; you can check them out and get sample chapters at their respective sites:

Engaging Learning: Designing e-Learning Simulation Games

Designing mLearning: Tapping Into the Mobile  Revolution for Organizational Performance

The Mobile Academy: mLearning For Higher Education

Revolutionize Learning &  Development: Performance and Information Strategy for the Information Age

They’re designed to be the definitive word on the topic, at least at the moment.

I’ve also written or co-written a number of chapters in a variety of books.  The books  include The Really Useful eLearning Instruction Manual,  Creating a Learning Culture, Michael Allen’s eLearning Annual 2009,   and a bunch of academic handbooks (Mobile Learning, Experiential Learning, Wiley Learning Technology ;).  These tend to be longer than an article, with a pretty thorough coverage of whatever topic is on tap.

Then  there are articles in a variety of magazines.  These tend to be aggregated thoughts that are longer than a blog post, but not as through as a chapter. In particular, they are things I think need to be heard (or read).  So, my writing has shown up in:

eLearnMag

Learning Solutions

CLO

The topics  vary. (For the eLearnMag ones, you’ll have to search for my name owing to their interface, and they tend to be more like editorials.)

And then there are blog posts for others that are a bit longer than my usual blog post, and close to an article in focus:

The  Deeper eLearning  series for  Learnnovators

A monthly article for Litmos.

These, too, are more like articles in that they’re focused, and deeper than my usual blog post.  For the latter I cover a lot of different topics, so you’re likely to find something relevant there in many different areas.

I’m proud of it all, but for a quick update on a topic, you might be best seeing if there’s a Litmos post on it first.  That’s likely to be relatively short and focused if there is one. And, of course, if it’s a topic you’re interested in advancing in and I can help, do let me know.

Employee Experience

21 December 2016 by Clark Leave a Comment

Principles and Approaches for L&DOne of the recent trends has been about ‘customer experience’, focusing  the organization on a consistent and coherent  customer experience from first exposure through to ongoing product or service use. And this is a ‘good thing’!  I’ve participated in the efforts of an  organization  to achieve it, and can see the real benefits.  However, I want to suggest that just as important is the employee experience. This is the goal of a true performance ecosystem and an aligned culture.

Richard Branson, the successful entrepreneur behind the Virgin brand, argues that the only real way to deliver great customer service is to have really happy employees.  And I think that his argument is plausible.  We know that when people are engaged, there are good outcomes like greater retention.  Happy employees  is  a necessary step to  happy customers.

We also know that when we’re creating a learning culture, we get both more engaged employees, and better business outcomes.  That is, when employees have purpose, are given autonomy to pursue their goals, and are supported towards success, they’re happier and more productive. Also when an organization  works well together – sharing because it’s safe, tapping into diversity, being open to new ideas, and supporting  reflection – innovation can flourish.

And, I’ll argue, that when the tools are ‘to hand’,  employees are happier and more productive.  When you can:

  • find necessary tools and  resources
  • reach out with questions
  • provide answers
  • represent your thinking
  • share your work so others can align and contribute
  • collaborate
  • experiment and analyze

all with ease, working is optimal.  That is, employees can achieve their goals effectively and efficiently.

Spending cycles to optimize this, to develop the infrastructure and the culture, is an investment in a long term benefit to organizational success.  I believe the two components of the organizational culture and the technology infrastructure are the critical components to employee experience.  And optimizing those has benefits that cross the organization.  That strikes me as an important strategic focus;  what’s your take?

 

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