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Theory or Research?

17 July 2019 by Clark Leave a Comment

There’s a lot of call for evidence-based methods (as mentioned yesterday): L&D, learning design, and more. And this is a good thing. But…do you want to be basing your steps on a particular empirical study, or the framework within which that study emerged? Let me make the case for one approach. My answer to theory or research is theory. Here’s why.

Most research experiments are done in the context of a theoretical framework. For instance, the work on worked examples comes from John Sweller’s Cognitive Load theory. Ann Brown & Ann-Marie Palincsar’s experiments on reading were framed within Reciprocal Teaching, etc. Theory generates experiments which refine theory.

The individual experiments illuminate aspects of the broader perspective. Researchers tend to run experiments driven by a theory. The theory leads to a hypothesis, and then that hypothesis is testable. There  are some exploratory studies done, but typically a theoretical explanation is generated to explain the results. That explanation is then subject to further testing.

Some theories are even meta-theories! Collins & Brown’s Cognitive Apprenticeship  (a favorite) is based upon integrating several different theories, including the Reciprocal Teaching, Alan Schoenfeld’s work on examples in math, and the work of Scardemalia & Bereiter on scaffolding writing. And, of course, most theories have to account for others’ results from other frameworks if they’re empirically sound.

The approach I discuss in things like my Learning Experience Design workshops is a synthesis of theories as well. It’s an eclectic mix including the above mentioned, Cognitive Flexibility, Elaboration, ARCS, and more. If I were in a research setting, I’d be conducting experiments on engagement (pushing beyond ARCS) to test my own theories of what makes experiences as engaging and effective. Which, not coincidentally, was the research I was doing when I  was  an academic (and led to  Engaging Learning). (As well as integration of systems for a ubiquitous coaching environment, which generates many related topics.)

While individual results, such as the benefits of relearning, are valuable and easy to point to, it’s the extended body of work on topics that provides for longevity and applicability. Any one study may or may not be directly applicable to your work, but the theoretical implications give you a basis to make decisions even in situations that don’t directly map. There’s the possibility to extend to far, but it’s better than having no guidance at all.

Having theories to hand that complement each other is a principled way to design individual solutions  and design processes. Similarly for strategic work as well (Revolutionize L&D) is a similar integration of diverse elements to make a coherent whole. Knowing, and mastering, the valid and useful theories is a good basis for making organizational learning decisions. And avoiding myths!  Being able to apply them, of course, is also critical ;).

So, while they’re complementary, in the choice between theory or research I’ll point to one having more utility. Here’s to theories and those who develop and advance them!

Direct Instruction or Guided Discovery

16 July 2019 by Clark Leave a Comment

Recently, colleague Jos Arets of the 70:20:10 institute wrote a post promoting evidence-based work. And I’m a big fan, both of his work and the post. In the post, however, he wrote one thing that bugs me. And I realize I’m flying in the face of many august folks on whether to promote direct instruction or guided discovery. So let me explain myself ;).

It starts with a famous article by noted educational researchers Paul Kirschner, John Sweller, and Richard Clark. In it, they argue against “constructivist, discovery, problem-based, experiential, and inquiry-based teaching”. That’s a pretty comprehensive list. Yet these are respected authors; I’ve seen Richard Clark talk, have talked with John Sweller personally, and have interacted with Paul Kirschner online. They’re smart and good folks committed to excellent work. So how can I quibble?

First, it comes from their characterization of the opposition as ‘minimally guided’.Way back in 1985, Wallace Feurzig was talking about ‘guided discovery’, not pure exploration. To me, that’s a bit of a ‘straw man’ argument. Not minimally guided, but appropriately guided, would seem to me to be the appropriate approach.

Further, work by David Jonassen for one, and a meta-analysis conducted by Stroebel & Van Barneveld for another, suggested different outcomes. The general outcome is problem-based (as one instance being argued against) doesn’t yield  quite as good performance on a subsequent test, but is retained longer  and transfers better. And those, I suggest, are the goals we  should care about.  Similarly, research supports attempting to solve problems even if you can’t before you learn.

And I worry about the phrase “direct instruction”. That easy to interpret as ‘information dump and knowledge test’; it sounds like the old ‘error-free learning’! I’m definitely  not accusing those esteemed researchers of implying that, but I am afraid that under informed instructors could take that implication. It’s all too easy to see too much of that in classrooms. Teacher strategies tend to ignore results like spaced, varied, and deliberate practice. Similarly, the support for students to learn effective study skills is woeful.

Is there a reconciliation? I suggest there is. Professors Kirschner, Sweller, & Clark would, I suggest, expect sufficient practice to a criteria, and that the practice should match the desired performance. I suspect they want learners solving meaningful problems in context, which to me  is problem-based learning. And their direct instruction would be targeted feedback, along with models and examples. Which is what I strongly suggest. The more transfer you need, however, the broader contexts you need. Similarly, the more flexible application required would suggest the gradual removal of scaffolding.

So I really think that guided exploration, and meaningful direct instruction, will converge in what eventuates in practice. Look,  insufficiently guided practice isn’t effective, and I suspect that they wouldn’t suggest that bullet points are effective instruction. I just want to ensure that we focus on the important elements, e.g. what we highlighted in the Serious eLearning Manifesto. There  is a reason to think that direct instruction or guided discovery isn’t the dichotomy proposed, I’ll suggest. FWIW.

Reconciling Cognitions and Contexts

3 July 2019 by Clark Leave a Comment

In my past two posts, I first looked at cognitions (situated, distributed, social) by contexts (think, work, and learn), and then the reverse. And, having filled out the matrixes anew, they weren’t quite the same. And that, I think, is the benefit of the exercise, a chance to think anew. So what emerged? Here’s the result of reconciling cognitions and contexts.

Situated/Distributed/Social by Think/Work/LearnSo, taking each cell back in the original pass of cognitions by contexts, what results? I took the Think row to, indeed, be Harold Jarche’s Seek > Sense > Share model (ok, my interpretation). We have in Situated, the feeds you’ve set up to see, and then the particular searches you need in the current context. Then, of course, you experiment  and  represent as ways to externalize thinking for Distributed. Finally, you share Socially.

For Work, not practices but principles (and the associated practices therefrom) as well as facilitation to support Situated Work. Performance support is, indeed, the Distributed support for Work. And Socially, you need to collaborate on specific tasks and cooperate in general.

Finally, for Learning, for a Situated world you need (spread) contextualized practice to support appropriate abstraction of the principles. You want models and examples to support performance  in the practice, as Distributed resources. And, finally, for Social Learning, you need to communicate (e.g. discussions) and collaborate (group projects).

What’s changed is that I added search and feeds, and moved experiment, in the Think row. I went to principles from practices to support performance in ambiguity, left performance support untouched, and stayed with collaborations and cooperation instead of just shared representations (they’re part of collaborate). And, finally, I made practice about contexts, went from blended learning to support materials for learning, and interpreted social assignments as communicating and collaborating.

The question is, what does this mean? Does it give us any traction? I’m thinking it does, as it shifts the focus in what we’re doing to support folks. So I think it  was interesting and valuable (to my thinking, at least ;) to consider reconciling cognitions and contexts.

Contexts By Cognitions

2 July 2019 by Clark Leave a Comment

So, in my last post, I talked about exploring the links between cognitions on the one hand (situated, distributed, social), and contexts (aligning with how we think, work, & learn).  I did it one way, but then I thought to do it another, to instead consider Contexts by Cognitions, to see if I came to the same elements. And they weren’t quite identical!  So I thought I should share that thinking, and then come to a reconciliation. Thinking out loud, as it were.

Considering thinking, working, and learning by situated, distributed, and social.So in this one, I swapped the headings, emptied the matrix, and took a second stab at filling them out, with a relatively clear mind. (I generated the first diagram several days ago and had been iterating on it, but not today. Today I was writing it up and was early in the process, so I came to it  relatively  free of contamination. And of course, not completely, but this is ‘business significance’, not ‘statistical significance’ ;).  The resulting diagram appears similar, but also some differences.

When we consider Thinking by Situated, we’re talking about coping with emergent situations. I thought being guided by best principles would be the way to cope, abstracted models. I thought representation was key for distributing one’s thinking, and sharing of course for social.

Working Situatedly suggested having in-house practices and facilitation. Of course, Distributed support for Work is performance support. And working socially suggests  shared representations.

Finally, learning situated suggests the need for much practice (across contexts, I now think). Distributed support for learning are models and examples. And social learning suggests communicating (e.g. discussions) and collaboration (group projects).

Interestingly, these results differ from my previous post. So, I think I’ll have to reconcile them. The fact that I  did get different results,  and it sparked some additional thinking, is good. The outcome of considering contexts by cognitions improved the outcomes, I think. And that’s worth thinking about!

Cognitions By Contexts

20 June 2019 by Clark Leave a Comment

I have, in the past, talked about the three cognitions: situated, distributed, and social. Similarly, I talk about aligning with the contexts: how we think, work, and learn. I then wondered about how they interacted. Naturally, I diagrammed it (surprise, right?). I created the 3 x 3 matrix, and then tried to fill the boxes.  So here’s some preliminary thoughts (ok, they’ve already been processed a few times) on considering cognitions by contexts.

The intersections do point to some implications.  Cutting through the contexts by cognitions, we can make some prescriptions. When we think of Situated by Think, I suggested experimentation as a mechanism to help resolve unclear outcomes. Situated by Work suggested the ambiguity inherent in new situations, and suggested supporting addressing that. Finally, Situated for Learning suggests the need for meaningful practice.

Similarly, when we look at Distributed by Thinking, I considered the need to represent understanding concretely. For Work, it’s about using external tools to support effective performance, e.g. performance support. For Learning, it’s about blending learning  across a variety of elements: technologies, interaction methodologies, etc, to support successful outcomes.

Social is a bit of a conflict, because I often mean that as a reflection of ‘work’. Here, however, I’m considering Work as ‘getting stuff done’. (Note to self: reconcile this!). So Social and Think is the notion of sharing the results (hmm, pondering in next paragraph). Social and Work is collaboration & cooperation, working together specifically on projects and also more broadly a willingness to contribute when/where/ever. Finally, Social for learning is social assignments.

Which makes me think that the whole ‘Think’ line could be Harold Jarche’s Seek > Sense > Share model, and then we’re talking about the Situated Thinking would be continually seeking new information to help settle ambiguity. Which is a nice idea I might put in, but then I have to consider where I put experiment. That may have to go in with ‘represent’  in Distributed and Think.

I also, as an experiment, decided to swap the labels (horizontal for vertical), and see if I came up with the same inputs. And, no, I didn’t. That’s my  next  post, the swapped version. It won’t be ’til the beginning of July, because next week I’m speaking at the Realities 360 conference, and will be posting mindmaps of the keynotes, if all things go per usual. And there’ll be a reconciliation after that, as the above paragraph suggests. Stay tuned! But here you see me ‘think out loud’ as I try to consider Cognitions By Contexts. I welcome any thoughts of yours!

Cognition external

12 June 2019 by Clark Leave a Comment

reading outsideI was thinking a bit about distributed cognition, and recognized that there as a potentially important way to tease that apart. And I’ll talk it out first here, and maybe a diagram will emerge. Or not. The point is to think about how external tools can augment our thinking. Or, really, a way that at least partly, we have cognition external.

The evidence says that our thinking isn’t completely in our head. And I’ve suggested that that makes a good case for performance support. But I realize it goes further in ways I’ve thought about it elsewhere. So I want to pull those together.

The alternative to performance support, a sort of cognitive scaffolding, is to think about representation. Here we’re not necessarily supporting any particular performance, but instead supporting developing thinking. I shared Jane Hart’s diagram yesterday, and I know that it’s a revision of a prior one. And that’s important!

The diagram is capturing her framework, and such externalizations are a way to share; they’re a social as well as artifactual sharing. It’s part of a ‘show your work‘ approach to continuing to think. Of course, it doesn’t have to be social, it can be personal.

So both of these forms of distributed cognition are externalizing our thinking in ways that our minds have trouble comprehending. We can play around with relationships by spatially representing them. We can augment our cognitive gaps both formally through performance support, and informally by supporting externalizing our thinking.  Spreadsheets are another tool to externalize our thinking. So, too, for that matter, is text.

So we can augment our performance, and scaffold our thinking. Both can be social or solitary, but they both qualify as forms of distributed cognition (beyond social). And, importantly, both then should be consciously considered in thinking about revolutionizing L&D. We should be designing for cognition external.  The tools should be there, and the facilitation, to use either when appropriate. So, think distributed, as well as situated, and social. It’s how our brains work, we ought to use that as a guide. You think?

A very insightful framework

11 June 2019 by Clark 1 Comment

Jane Hart has just come up with something new and, to me, intriguing. Ok, so she’s a colleague from the Internet Time Alliance, and I’ve been a fan of her work for a while, but I think this is particularly good.  If you’ve read here before, you’ll know I love a good model (Harold Jarche’s Seek>Sense>Share comes to mind). So when I parsed her “from training to modern workplace learning”, it resonated in many ways.  So here’s her framework with some comments.

First, some context. If you’ve known my work at all, you know that I’ve been pushing a L&D revolution. And that’s about rethinking training to be about transformative experience design, performance support to be included, and informal learning to be also addressed. That’s  intellectricity! And it’s sometimes hard to tie them together coherently.

Jane’s always had a talent for drilling down into the practicalities in sensible ways. Her books, continually updated, have great specifics about things to do. This is a framework that ties it together nicely.

The thing I like is the way she’s characterized different activities. The categories of Discovery (informal learning), Discourse (social learning), and Doing (experiential learning) provides a nice handle around which to talk about elements, roles, and tasks. And, importantly, prescriptions.  And I really like the ‘meta’ layer, where she suggests skills for each vertical.

I’m not without quibbles, however small. For instance, with her use of microlearning, because of my concerns about the label rather than her specific intention. She told me personally that she means “short daily learning”, and I think that’s great. I just think of that as spaced learning ;). And I might label ‘discovery’ to be ‘develop’, because it’s about the individual’s continual learning. And I’m not sure there’s what I call ‘slow’ innovation there, creating a culture and practices about experimentation and exposure to the ‘adjacent possible’. But it’s hard for one diagram to capture everything, and this does a great job.

I admit that I haven’t parsed all the nuances yet. But as an advocate of diagrams  and frameworks, I think this is truly insightful  and  useful. (And she’s updated it so I’ve grabbed this copy which appears to have lost microlearning.)   I’m sure she, as well as I, welcome your thoughts!

How (Not) To Write Marketing Posts

29 May 2019 by Clark 2 Comments

Shredded paperYou’ve seen my takedowns of various posts by now, and the flurry of fluff continues. It seems like there’s some baseline social media marketing course that everyone takes.  And the very first thing is a series of steps that yields annoyance and embarrassment (or should).  For the sake of all of us who suffer from this, we need to stop! We need better posts for our industry. Even if they’re for promotion (I get it), we need more sensible marketing posts.

So, the steps seem to be:

  1. Write a post (more below)
  2. Do a search with a keyword from the post to find related posts
  3. Write to every blog author you find and offer them to link to your post

And, as one of the people who blogs (e.g. here),  please stop!  I have a canned response that includes the line:

I deliberately ignore what comes unsolicited, and instead am triggered by what comes through my network: Twitter, Facebook, LinkedIn, Skype, etc.

Now, one of the problems is that many posts I see seem to follow a similar algorithm:

  1. Search for articles on a hot buzzword
  2. Pull together some points from the articles you find
  3. Mash it up as a post

The articles appear to be written by someone who doesn’t really know the industry. How do you explain the fact that they seem to be idiosyncratic collections of buzzwords and elements? Maybe newbie social media marketing hires are writing them? I don’t know. What I do know is that they’re worthy of evisceration.

If you don’t know what you’re talking about, please don’t write. Get someone who does! There are a number of folks you could find to write for you who can do a decent job.  I write for a couple of organizations that are willing to invest in quality. And there are some folks in the industry who work and write for their orgs that know what they’re talking about. And, of course, the blog posts and articles from people with a good reputation are places to look. But just because someone’s written something doesn’t mean it’s good.

The same rules for debunking apply here: is this someone with a known reputation? Or is there some independent validation of what they say? Otherwise, you either dismiss it, or track it back and analyze it in reference to what’s known. And that, of course, means knowing it yourself.

I’ll continue to eviscerate the marketing posts that come my way, and try to point the way to better thoughts in the area. I invite you to do the same! And I’m open to ideas about how to cut down on the number of wrong (if not actively misleading, and certainly self-serving) posts. Your thoughts?

Facilitate is the new train

9 May 2019 by Clark Leave a Comment

Boy riding bike with training wheelsOk, so I’m being provocative with the title, since I’m not advocating the overthrow of training. The main idea is that a new area for L&D is facilitation. However, this concept also updates training. It’s part of what I was arguing when I suggested that the new term for L&D should be P&D, Performance & Development. So let’s start with that. We need to facilitate in several directions!

The driver behind the suggested nomenclature change is that the focus of L&D needs a shift. The revolutionary point of view is that organizations need both optimal execution and continual innovation (read: learning). In this increasingly chaotic time, the former is only the cost of entry, but it can’t be ignored. The latter is also becoming more and more critical!

A performance focus is the key to execution. You want to ensure people are doing what’s known about what’s need to be done. That’s the role of instruction and performance support. Performance consulting is the way to work backwards from the problem and determine the best interventions to do that optimization.

However, learning science is pushing us to recognize that we can do better. Information dump and knowledge test isn’t going to lead to any change in behavior. If you want people to be able to  do, you have to have them  do in practice. Which means the focus is on the practice and the feedback. That latter is facilitation. The clichéd switch from sage on the stage to guide on the side does capture it. So even here we see the need for facilitation.

It’s in the latter, however, where facilitation really comes to the fore. When we talk about development, we’re going beyond developing the individual. We are addressing the organization’s learning. And, as I’ve said, innovation  is learning, just a different sort. What’s needed is  informal learning.

And informal learning, while natural, isn’t always optimal. Habits, misconceptions, culture, and more can intrude. This is why facilitation may be even more key to success for organizations.

And, again, L&D  should be the most knowledge about learning, because learning underpins both performance and development.    Thus, if L&D is going to adapt, learning how to facilitate learning will be core. Facilitate really will be the new ‘train’.

Reflection on reflection

23 April 2019 by Clark Leave a Comment

Lake reflectionOf late, there’ve been a few dialogs on Twitter. As I opined in the recent podcast I was interviewed in, using Twitter  for a dialog is kind of new. I’m not talking about a tweet chat like #lrnchat  (which I think is a great thing), but a out-loud dialog with others weighing in. And it’s fun, and informative, but occasionally I need to go deeper. So here’s a reflection on reflection.

In that podcast interview, I opined, as I often do, about action and reflection. The starting point is a claim is that our own learning action and then reflection. What I mean is that we act in the world, and if we reflect on it we can learn.

One of the pushbacks was that we can learn without reflection. And, yes, I agree. We can learn without conscious feedback. In fact, in Kathy Sierra’s insightful  Badass, she talks about chicken sexing,  a task which no one’s been able to make consciously accessible. Things can go below consciousness.

This was related to another pushback: do we really learn differently from chickens and rats? And the answer is no, but  what  we learn is different. And, further, what we  can learn is different. I’ve yet to see rats sending rockets up to the moon to see if it’s made of cheese.

Conscious representations facilitate learning, particularly for things we learn that aren’t strongly tied to our evolved survival. Learning about cognition itself, for instance, the ability to think about our own thinking, is just something that separates us fundamentally. And, to do that well, conscious artifacts facilitate it.

We’ve found that creating conscious frameworks to facilitate our understanding and acquisition are helpful. So, specifically, models and examples are two things that help us develop skills. We use models to guide and review our performance, to guide us. M0dels are conceptual relationships that we can compare to our performance. Examples show how those models play out in particular contexts.

There’s a followup: if learning is action and reflection, then instruction  should be  designed action and  guided reflection. That is: do, get feedback, but also  more. To me, models and examples  are that additional reflection. We can present them ahead of time (but see Problem-Based Learning), but we should use them as part of the feedback, pointing out how flaws in performance didn’t align with the models, and further examples that illustrate those nuances.

Ok, so I may be playing fast and loose with the notion of reflection here, lumping in models and examples and feedback. However, my point is to try to keep learning  not being information dump and knowledge test. We know that won’t lead to meaningful change. If I label it action and reflection, we have a better chance to push for an application-based instruction.

So, I’ll stick to my claim about (designed) action and (guided) reflection, with the caveat that my ‘reflection’ is more than just noodling. And, yes, it’s for learning goals beyond ‘hitting your head on rocks hurts’. But the goals I’m focusing on are the types of goals that will make a difference in individual and organizational success in our society.  If I’m pushing too far and too hard, let me know.

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