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Clark Quinn’s Learnings about Learning

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.

Exploration & Surprise

17 April 2019 by Clark 2 Comments

Some weeks back, I posted about surprise. That is, a new model that says that that our brains work to minimize surprise. We learn so as not to be wrong. And that made sense in one way, but left another gap. Another article explains (well, partly; the mathematics are more than I want to wade into) further, and that gives me a new handle on thinking about designing transformative experiences. It’s about the value of exploration to accompany surprise.

The problem with the original story of us just minimizing surprise is that this leads to another inference. Why wouldn’t we want to just hang in a dark warm room?  The notion of minimizing surprise did explain people who don’t seem keen to learn, but many of us are.  And, as Raph Koster told us in  A Theory of Fun, the drive to play games seems to be learning! We want exploration, and the outcomes aren’t certain. This is in conflict.

The new article posits that there’s another factor, the expectation of value. We also want the optimal outcome. The theory says that we’ll be willing to try several relatively equal predicted value outcomes to learn which to choose in the future (if I’ve understood the article correctly). So we  will  explore even under uncertainty if there’s a benefit to learning.

This doesn’t quite explain things to me. I think it’s missing some emotional aspect.  Why would we do things like try out Escape Rooms or The Void (as I’ve done with colleagues)?  There’s no real outcome, except perhaps to know about such experiences. But horror movies or thrillers? All we know is that we’ll have our emotions raised and then settled. But maybe that fits into a good outcome.

Ready to learnStill, this gives me a new handle. When I was preparing the Learning Experience Design workshop I gave at Learning Solutions last month, I was talking about ensuring surprise. That is, the learning experience should make learners aware that they didn’t know what the outcome would be. But I knew, and suggested, that there had to be more. They had to  care about the outcome. And now we have the hook.

They care about the outcome, because it’ll be a higher value situation once they do!  If we do this right, we let them know that they care about the outcome, and they can’t do it now (either they know already, or we have them fail). Then, we can offer them the path to achieve this outcome. If they explore, they’ll learn? If we’ve got a truly meaningful outcome (you’ll now be able to do X) that they truly care about (you  do want to be able to do X), you’re now set with emotionally ready learners. Cognitive science models suggest that this should work!  :)

To turn it around. the point is that you should create a goal that they  should desire, and then demonstrate that they don’t already know it. It’s simplistic, but I think it’s part of creating a transformative experience, one where they are not just ready for the outcome, but eager. And I think that’s desirable.  What do you think?

 

 

 

Quinnovations

16 April 2019 by Clark Leave a Comment

I was talking with my lass, and reminiscing about a few things. And, it occurs to me, that I may not have mentioned them all. Worse, I confess, I’m still somewhat proud of them. So, at the risk of self-aggrandizement, I thought I’d share a few of my Quinnovations. There’s a bigger list here, but this is the ‘greatest hits’ list, with some annotation. (Note, I’ve already discussed the game Quest for Independence, one of my most rewarding works.)

One project was a game based upon my PhD topic. I proposed a series of steps involved in analogical reasoning, and tested them both alone and then after some training. I found some improvement (arguing for the value of meta-learning instruction). During my post-doc, a side project was developing a game that embedded analogical reasoning in a story setting. I created a (non-existent) island, and set the story in the myths of the voodoo culture on it. The goal was a research environment for analogical reasoning; the puzzles in the game required making inferences from the culture. Most players were random, interestingly, at a test, but a couple were systematic.

With a colleague, Anne Forster, we came up with an idea for an online conference to preface a face-to-face event. This was back circa 1996, so there weren’t platforms for such. I secured the programming assistance of a couple of the techs in the office I was working for (Open Net), and we developed the environment. In it, six folks reknown in their area conducted overlapping conversations around their topic. This set up the event, and saw vibrant discussions.

A colleague at an organization I was working for, Access Australia CMC, had come up with the idea of competition for school kids to create websites about a topic. With another colleague, we brainstormed a topic for the first running of the event. In it, we had kids report on innovations in their towns that they could share with other towns (anywhere). I led the design and implementation of the competition: site and announcements, getting it up and running. It ended up generating vibrant participation and winning awards.

Upon my return to the US, I led a team to generate a learning system that developed learners’ understanding of themselves as learners. Ultimately, I conceived of a model whereby we profiled learners as to their learning characteristics (NB:  not learning styles) and adapted learning on that basis. There was a lot to it: a content model, rules for adaptation, machine learning for continuing improvement, and more. We got it up and running, and while it evaporated in 2001 (as did the organization we worked for), it’s legacy served me in several other projects. (And, while they didn’t base it on our system, to my knowledge, it’s roughly the same architecture being seen in Newton.)

Using the concept of that adaptive system, with one of my clients we pitched and won the right to develop an electronic performance support system. It ended up being a context-sensitive help system (which is what an EPSS really is ;).  I created the initial framework which the team executed against (replacing a help system created by the system engineers, not the right team to do it). The design wrote content into a framework that populated the manual (as prescribed by law)  and the help system. The client ended up getting a patent on it (with my name on too ;).

Last one I’ll mention for now, a content system for a publisher. They were going to the next generation of their online tool, and were looking for a framework to: incorporate their existing texts, guide the next generation of texts, and support multiple business models. Again pulling on that content structure experience, I gave them a structured content model that met their needs. The model was supposed to be coupled with a tech platform, and that project collapsed, meaning my model didn’t see the light of day. However, I was pleased to find out subsequently that it had a lasting impact on their subsequent works!

The point being that, in conjunction with clients and partners, I have been consistently generating innovations thru the years. I’m not an academic, tho’ I have been and know the research and theories. Instead, I’m a consultant who comes in early, applies the frameworks to come up with ideas that are both good and unique (I capitalize a lot on models I’ve collected over the years), and gets out quickly when I’m no longer adding value. Clients get an outcome that is uniquely appropriate, innovative, and effective. Ideas they likely wouldn’t have come up with on their own!  If you’d like to Quinnovate, get in touch!

#LSCon 19 Reflections

5 April 2019 by Clark Leave a Comment

It’s hard to think of now, but last week I was at the Learning Solutions conference. And I had a really great time. I didn’t see as much as I’d like (as you ‘ll see, I was busy), but there were some really worthwhile learnings, and some fun as well. Here are my conference reflections.

For the first time, I rented a scooter. That was a learning all in itself. I’d been having pain, and walking was the  worst. The scooter was a way to address that, and it did. I scooted around and avoided much walking. Not all, but a lot. And it was fun to zoop around, but…it was hard to maneuver in small spaces. Like the necessary elevators. And my room. I tried to slow down and do it carefully, and that worked to an extent, but it wasn’t pretty.

Decorated mobility scooterThe great part was that, having heard of my plight, some friends descended upon my ride and tarted it up with glitter and dangly things. And, best of all, caution tape. Very appropriate. Very much appreciated!  And it wasn’t even too hard to take off at the end.

Thus, I was happy to zoom to my room to run my pre-conference workshop on learning experience design. It was designed as an integration of Engaging Learning and the Serious eLearning Manifesto.    I snuck a bit of ‘transformation‘ in there as well.  The evaluations aren’t back yet, but I think overall it achieved the purpose. One attendee later suggested an improvement that I’d agree on (allowing learners to choose from the topics to workshop on). Always learning!

That evening, we did something I’d never done, Presentation Roulette. The speakers (I agreed to be one, without having seen it before; I do like experimenting [read: living dangerously]) choose a random title out of a sock (well, it was clean) and are then given a deck that Bianca Woods of the Guild had developed for that title, including the silliest pictures she could find on the web. As she describes it, a mashup of presentations and improv comedy.  It was very fun, and in particular extremely funny; the other presenters did great jobs. I’ll attend again even if I don’t present!

Tuesday was a normal day (e.g. I didn’t present). As usual, I mindmapped the keynotes (several posts back), cruised the floor, and attended some sessions. The panels were good. I attended the one on the Future of ID, and the comments were insightful about how the tools and goals were changing. Similarly the one on the Future of Work had a convergent message I resonated with, that we need to focus on using tech to augment us on the stuff we’re good at, not try to fight off automation of rote tasks. I also took some time off for calls and work.

That evening, after dinner, some friends and colleagues (they’re the same folks) came over to my suite. (I have gotten lots of accommodations for my situation; and I’m  very grateful.)  Fueled by libations, we proceeded to gin up an evil plan to control the world (or at least the market).  Politically correct it wasn’t, fun it was.  Too late to bed.

The next day I was part of the Guild Master panel with about 14 participants. Too many!  Great thoughts, and I tried to stifle myself and only make the most cogent points. Apparently I still spoke a little too much. I blame it on this blogging, it gives me lots of thoughts. :) The points I wanted to make were, not surprisingly, about the need for getting back to basics in learning design, and to look beyond optimal execution to continual innovation.

I also sat in an ARK Kit presentation. It made AR seem almost within reach. At this time you still do need some coding, but if it progresses like many tools, much will soon become at a higher level of ability to describe what you want and make it so.

I still wasn’t done, as later that day I also gave my ‘professionalism and myths’ talk. The audience was small but enthusiastic. I do believe we made some converts. I added in not just debunking myths, but how to talk to folks who buy into it. There’s a little learning science in it as well. We really do need to be on a sound basis before we can have credibility.

I have to say, delightedly, that I continue to have folks say that my books have helped them. Different books for different folks, but something I love to hear. As an author, you get some idea of the sales, but none of the impact. Some of these were small effects, and some were “I’ve used this to change my/our practice.”  That’s what it’s about, after all, you write a book to effect change. I’m grateful for those who share this insight!  In particular, I hear lots of folks using the Myths book in their orgs to counter employees/customers’ misguided intentions. The Revolution book still (or, perhaps,  now) has influence. And I still hear about the Games book!

I also slipped away with some more conspirators and experienced  The Void. It  was  hard on my legs (I went with cane, not scooter), mostly because they didn’t have anywhere to sit while you waited!?!?!  (I gave them a serve in the too-long post-experience survey.) However, it’s very cool: a compelling experience and great implications for learning. Embedded performance? That would be ‘yes’.

The keynotes, by the way, were excellent  AND…  I’ve heard over the years that conference organizers say it’s hard to have diversity in speakers. All white males (e.g. me ;), or at least white.  This time, there were two women, and two blacks, out of three people. With good messages.  It was inspiring to hear and to see!  Kudos to David Kelly and the Guild for managing to debunk the barrier.

There was some discussion of whether there was a place for those who proselytize learning science or it was all going commercial and cheap. I feel like there’s a growing interest in the science, but I’m frequently a year or several ahead of the market. In this case, I want to yell “make me right!”  This is a field I care about, and we can be doing so much good. I want us to capitalize on that potential. There were new folks looking for solutions and the opportunity to grow. I hope we can make that happen in a positive direction.

Overall, it was a success. I had time with smart colleagues, saw interesting sessions, and met new folks. I presented and got feedback, which is a great cycle. And it was another chance to immerse myself in the state of the industry. Here’s to continual improvement.

 

 

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