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Clark Quinn’s Learnings about Learning

The (Post) Cognitive Perspective

5 October 2021 by Clark 5 Comments

I’m deeply steeped in the cognitive sciences, owing to a Ph.D. in cognitive psych. Fortuitively, this was at the time my advisor was creating the cognitive science program (and more). So I’ve a bias. Yet I also have a fair bit of empirical evidence that taking a cognitive perspective accomplishes things that are hard to do in other ways. So let me make the case that the cognitive perspective is more than just a useful one, but arguably a necessary one.

I‘ll start by reflecting back on something I wrote before, about virtual world affordances. At the time, platforms like Second Life were touting the advantages of an immersive navigable world. Of course, the promises were all-encompassing: everything would move to virtual worlds. In retrospect, it didn‘t eventuate. Why? I argue it’s because the cognitive overhead of virtual worlds means that there has to be a sustained value proposition, and that came from when you truly need 3D immersion and social.  

Similarly, when I wrote my books on games and mobile, I focused on the cognitive impacts. The first reason was because technology was changing so fast that anything hardware-specific would be out of date before the book was published. The second is because our brains don‘t change that fast, so what works will work regardless of the technology .  

Note that our understanding of cognition has changed. We‘re now in a ‘post-cognitive‘ era, where the notion that all our formal, logical thinking is done in our heads is wrong. Research is showing that we‘re far more ‘situated‘ than we think, and distributed as well. That includes distributed across external representations and other people! It’s very contextual, and it’s not all in our heads!

So these days, when I look at things, I try to look with a cognitive (ok, post-cognitive) perspective. I look to see how things align, or not, with how our brains work. When I evaluate learning technologies, for instance, I look to see how well they do things like provide meaningful practice: active and contextualized. You can also see when particular technologies (e.g. VR/AR/AI) will be valuable, and not. Similarly, when I look at workplace change proposals, I look at how well they reflect our mechanisms for adapting to change.  

I‘ll argue that these perspectives are valuable. You can quickly see why most training doesn‘t work, cut through hype from vendors, create explanations about why myths are mythtaken, etc. You can save money, be more effective, etc when you align with how our brains work. I‘ve talked before about how there are gaps. This is the flip side, how to avoid those gaps, and do better.   In short, you‘re better able to assist your organization in being more effective (and efficient).  

That‘s why I‘m pleased that I am able to put these basics into the learning science book, and workshops. It‘s possible to get better at this sort of perspective. It‘s also possible to get it on tap as needed. However, it does take both the cognitive understanding and the experience in applying it. So, how‘s your cognitive perspective?

On a side note, I want to encourage you to consider my workshop at DevLearn on Make It Meaningful, a full day exploring how we make learning experiences deeply engaging (adding to effectiveness). This is also the topic of my online workshop through the Learning Development Accelerator. This is, to me, the most important topic to  complement  learning science. (Available as a book and workshop. ;) In both cases, I’m trying  to help us  stop making boring courses that people want to avoid, and suggest that this  can be done for most any topic. It also leads to more effective learning outcomes! Hope to see you at one! (Of course, if your organization would like your own private version, let me know!)

Reading Research?

14 September 2021 by Clark Leave a Comment

I was honored to have a colleague laud my Myths book (she was kind enough to also promote the newer learning science book), but it was something she said that I found intriguing. She suggested that one of the things in it includes “discussing how to read research”. And it occurs to me that it’s worth unpacking the situation a wee bit more. So here’s a discussion about how we (properly) develop learning science that informs us in reading research.

Caveat: I  haven’t been an active researcher for decades,  serving instead to interpret and apply the  research, but it’s easier to say ‘we’ than “scientists”, etc.  

Generally, theory drives research. You’ve created an explanation that accounts for observed phenomena better than previous approaches. What you do then is extend it to other predictions, and test them.  Occasionally, we do purely exploratory studies just to see what emerges, but mostly we generate hypotheses and test them.

We do this with some rigor. We try to ensure that the method we devise removes confounding variables, and then we use statistical analysis to remove the effects of other factors. For instance, I created a convoluted balancing approach to remove order effects in my Ph.D. research. (So complicated that I had to analyze a factor or two first, to ensure it wasn’t a factor, so I could remove it from the resulting analysis!). We also try to select relevant subjects, design uncontaminated materials, and carefully control our analysis. Understanding the ways in which we do this requires an ability to know about experiment design, which isn’t common knowledge.

Moreover, we then need to share this with our colleagues so that they can review what we’ve done. We need to do it in unambiguous language, using the specific vocabulary of our field. And we need to make it scrutable. Thus, we publish in peer-reviewed journals which mean others have looked at our work and deemed it acceptable. However, the language is deliberately passive, unemotional, and precise, as well as focused on a very narrow topic. Thus, it’s not a lot of fun to read unless you  really care about the topic!

There are problems with this. Increasingly, we’re finding that trying to isolate independent variables doesn’t reflect the inherent interactions. Our brains actually have a lot of complexity that hinder simple explanations. We’ve also found that it’s difficult to get representative subjects, when what’s easy to get are higher education students in the developed world. There are also politics involved, sad to say, so that it can be hard for new ideas to emerge if they challenge the entrenched views. Yet, it’s still the best approach we have. The scientific method has led to more advances in understanding than anything else!

There are things to worry about as a consumer of science. For one, there are people who fake results. They’re few, of course. There’s also research that’s kept proprietary, for financial reasons. Or is commissioned. As soon as there’s money involved, there’s the opportunity for corruption (think: tobacco, and sugar). Companies may have something that they tout as valid, but the research base isn’t publically available. Caveat emptor!

Thus, being able to successfully read research isn’t for everyone. You need to be able to comprehend the studies, and know when to be wary. The easy thing to do is to look for translations, and translators, who have demonstrated a trustworthy ability to help sort out the wheat from the chaff. They exist.

I hope this illustrates what reading research requires. You can take some preliminary steps: give it the ‘sniff’ test, see if it applies to you, and see who’s telling you this (and if anyone else is agreeing or saying to the contrary) and what their stake in the game is. If these steps don’t answer a question, however, maybe you want to look for good guidance. Make sense?

 

Coping with Change: A Book Review of Flux by April Rinne

9 September 2021 by Clark 1 Comment

How do we cope with change? There’s a myth that we resist change, but Peter de Jaeger busted that in a talk I heard where he pointed out that we make changes all the time. We get married, take a different job, have kids, all of which are changes. The difference is that these are changes we choose! However, in this era of increasing change, we’re likely going to face more and more changes we didn’t expect. Can we improve our ability for coping with change? Yes, says April Rinne in her book  Flux: 8 Superpowers for Thriving in Constant Change.

And  here’s a caveat: I am part of a  group she put together to talk about Flux while writing the book. I’m in the acknowledgements.

April, faced with a heavy unchosen change in her teens, carried that with her. It’s driven her interest in change and how we can learn to cope.  Given that we’re in an era of increasing change, she recognized that we would benefit from having some approaches to improve our reslience.  She looked at a wide variety of inputs, and has distilled her learnings into 8 mental frameworks that assist.

The underlying focus is on a flux  mindset, that is, a stance that change is coming and to be accepting, not resisting. The eight different ways of looking at the world are deliberately provocative, but also apt:

  • Run Slower
  • See What’s Invisible
  • Get Lost
  • Start with Trust
  • Know Your ‘Enough’
  • Create Your Portfolio Career
  • Be All the More Human
  • Let Go of the Future

Each gets a chapter, with illustrations of the challenge, and practical ways to enact. You may find, like I did, that some are familiar, others are more challenging. Each comes from either or both of ancient wisdom  and practical experience. The ones that were new I find to be all the more interesting. And useful!

That’s the real key. It’s very much aligned with what we know about how our brains work (a big issue with me, as this audience has probably learned ;). Some areas I feel like I’ve a handle on (e.g. run slower), and others are things are more challenging (e.g. see what’s invisible). There are bound to be areas of work for you. The upside of that work, however, is likely to be a better ability to ‘be’.

This is a book that you’ll want your loved ones to read, because what it provides aligns with a view of the world as it could and should be. It’s a guide for coping with change that addresses not only individuals, but organizations and society as a whole.  Highly recommended.

A new common tragedy?

27 July 2021 by Clark 2 Comments

Recently, my kids (heh, in their 20s) let me know that they don’t use Yelp. That actually surprised and puzzled me. Not specifically because of Yelp, but instead because there’s a societal benefit that’s possibly being undermined or abandoned. I may be naive, but I think that we may be missing an opportunity. So here’s my exploration of a potential new common tragedy.

The idea of the commons is simple, though also somewhat controversial. There’s a shared resource. In the traditional economic model, it’s limited. Thus, everyone taking advantage of it ends up ruining the resource (the infamous ‘tragedy of the commons’). In this case, however, the potential tragedy is different.

Information, as has been said, wants to be free. With the internet, it’s almost that way, and there are almost zero limits on the information (for better or worse). We can take advantage of the information for little more than the cost of a browser-capable device and an internet connection (which can come just with a cup of coffee ;). We can also contribute. That’s social media.

That’s been the premise of some of the more powerful ideas of the internet. If we share information, we can all benefit. Thus, we should offer up information and in return get the benefit. We don’t have to offer it, but if we do we all benefit. It’s cooperation. Social media has led to many great wins. My colleague and friend, Paul Signorelli, has a new book just on that! In his Change the World Using Social Media, he says “social media platforms can…produce positive change”. Of course, there are also problematic uses. The ways in which certain platforms (*cough* Facebook *cough*) have been used to spread misinformation is a caution. Yet, I believe these are problems that are solvable.

Now, Yelp is a service where people can share reviews of almost any service: repairs, meals, … And it’s just an example, there are other ways people share information, such as Wikipedia, NextDoor, etc. Yelp got off to a somewhat idiosyncratic start, owing to claims of favoritism. However, it’s now relatively reliable, I believe. (Am I wrong?)

The possibility is that if everyone fairly uses such as service, that everyone benefits. You do have to offer your own input, but you gain from others. Of course, the service itself must be principled, including a way to self-repair any problems. There can be more than one, though one tends to end up being dominant.

What’s problematic, to me, is why people  wouldn’t participate. For example, my kids. For one, there’s a belief that people only write negative reviews. Yet we do see businesses with ratings from 3 to 5, so clearly there are positive reviews (I’ve done both).  Yelp has helped me find good places to eat and get valuable services. I’ve likewise shared my experiences, to help others.

However, what may not be solvable is getting people on board with the idea of the benefit. If we turn away from this opportunity, we end up losing 0ut. Yes, I can be an idealist, but I’d hope that we can see the ultimate benefit that can be obtained. Across many platforms, ideally. I’d like to avoid a new common tragedy. I’m also willing to be wrong, so I welcome feedback.

 

My ‘Man on the Moon’ Project

20 July 2021 by Clark 8 Comments

There have been a variety of proposals for the next ‘man on the moon’ project since JFK first inspired us. This includes going to Mars, infrastructure revitalization, and more. And I’m sympathetic to them. I’d like us to commit to manufacturing and installing solar panels over all parking lots, both to stimulate jobs and the economy, and transform our energy infrastructure, for instance. However, with my focus on learning and technology, there’s another ‘man on the moon’ project I’d like to see.

I’d like to see an entire K12 curriculum online (in English, but open, so that anyone can translate it). However, there are nuances here. I’m not oblivious to the fact that there are folks pushing in this direction. I don’t know them all, but I certainly have some reservations. So let me document three important criteria that I think are critical to make this work (queue my claim “only two things wrong with education in this country, the curriculum and the pedagogy, other than that it’s fine”).

First, as presaged, it can’t be the existing curriculum.  Common Core isn’t evil, but it’s still focused on a set of elements that are out of touch. As an example, I’ll channel Roger Schank on the quadratic equation: everyone’s learned (and forgotten) it, almost no one actually uses it. Why? Making every kid learn it is just silly. Our curriculum is a holdover from what was stipulated at the founding of this country. Let’s get a curriculum that’s looking forward, not back. Let’s include the ability to balance a bankbook, to project manage, to critically evaluate claims, to communicate visually, and the like.

Second, as suggested, it can’t be the existing pedagogy. Lecture and test don’t lead to retaining and transferring the ability to  do. Instead, learning science tells us that we need to be given challenging problems, and resources and guidance to solve them. Quite simply, we need to practice as we want to be able to perform. Instruction is designed action and  guided reflection.  Ideally, we’d layer on learning on top of learner interests. Which leads to the third component.

We need to develop teachers who can facilitate learning in this new pedagogy. We can’t assume teachers can do this. There are many dedicated teachers, but the system is aligned against effective outcomes. (Just look at the lack of success of educational reform initiatives.) David Preston, with his Open Source Learning has a wonderful idea, but it takes a different sort of teacher. We also can’t assume learners sitting at computers. So, having a teacher support component along with every element is important.

Are there initiatives that are working on all this? I have yet to see any one that’s gotten it  all right.  The ones I’ve seen lack on one or another element. I’m happy to be wrong!

I also recognize that agreeing on all the elements, each of which is controversial, is problematic. (What’s the  right curricula? Direct instruction or constructivist? How do we value teachers in society?) We’d have major challenges in assembling folks to address any of these, let alone all and achieving convergence.

However, think of the upside. What could we accomplish if we had an effective education system preparing youth for the success of our future? What  is the best investment in our future?  I realize it’s a big dream; and I’m not in a position to make it happen. Yet I did want to drop the spark, and see if it fire any imaginations. I’m happy to help. So, this is my ‘man on the moon’ project; what am I missing?

Representation Matters

13 July 2021 by Clark 1 Comment

There is a deep sense of where and how representation matters. Then there are less critical, but still important ways in which presentation counts. It includes talking about stereotypes, and calling out inappropriate labeling. Concepts matter, clarity matters, transparency matters. So here are two situations that are worth critiquing.

The first one that struck me this morning was an announcement. A researcher has created a petition asking Pew Research to stop using the ‘generations’ label. They’ve been using it in their research, and yet (as the petition points out) their own research shows it’s problematic.

Now this is a myth I called out in my last book  (specifically on the topic of problematic beliefs). There are several complaints, such as that the boundaries are arbitrary, and the stereotyping is harmful. While we can differ by age, discrepancies are better explained by experience than by ‘generation’.

Another problem came in an article I was connected to on LinkedIn. In it, they were making the case for micro learning. While there are great reasons to tout the benefits of small bits of timely content, they didn’t really distinguish the uses. Which is a problem, since the different uses require different designs.

Here’s where representation matters. Pew Research’s reputation, in my mind, has gone down. I used to fill out some surveys from them, and stopped because the assumptions in the categories they were using were problematic. Finding out that they’re a major proponent of generations only aggravates that. Can I really trust any results they cite when the foundations are flawed?

Similarly, the organization that’s touting micro learning solutions has just undermined any belief in their credibility to actually do this appropriately. When you tout stuff in ways that show you don’t understand the necessary principles, you damage your reputation. I’m not likely to want to use this firm to design my  solutions.

I push strongly for accuracy. This includes evidence-informed design, conceptual clarity, and transparency of motives. If you tout something, do so in a scrutable way. Marketing malarkey only muddies the water, and our industry has enough of a credibility problem.

Yes, there are more important ways representation matters: for kids to see themselves in culturally desirable roles, for voices to be heard. This is a less important aspect, but quality matters. Look at what you are saying, and ensure that it’s worth your audience’s time!

2021 Top 10 Tools for Learning

7 July 2021 by Clark Leave a Comment

As always, I like to participate in my Internet Time Alliance colleague Jane Hart’s Top 10 Tools for Learning survey. However, in reviewing last year’s list, things haven’t changed much. Still, it’s worth getting out there. So there’re my selections for 2021  top 10 tools for learning.

One of the major things I do is write: book, blog posts, articles, and more. So the first two tools I use are for writing:

1. Word. Yes, not totally pleased about the provider, but I have yet to find a tool with better industrial strength outlining. And, well, I’ve been using it since around 1989, so…there’s some familiarity…

2. WordPress. Of course, that’s how I’m writing here. I also use it for writing for the HPT Treasures blog (I post once a month, third Friday. Also I can occasionally use it for managing other sites (e.g. IBSTPI).

Another way I get my mind around new understandings is by representing information structure. So:

3. OmniGraffle. While this is Apple only, and dear, it so far is the best tool I’ve found to make diagrams. It’s got more capability than I need, but it also works the way I think, so…all told it’s still the winner.

4. OmniOutliner. Outlining is another way I think. While for writing it can be in Word, for other things: checklists, presentations, etc, it helps to have a dedicated tool. Again, Apple only, dear, and overkill, but their cheaper version doesn’t include columns, and that can be helpful!

I also do a fair bit of presentations: keynotes, webinars, and more. While I’m often forced to end up using Powerpoint…

5. Keynote. My native presentation tool.  (yes, I’m an Apple person, what can I say?). It’s just cleaner for me than alternatives.

From there, we get to social tools:

6. Twitter has been a long-standing tool. Tracking other folks, participating in dialogs, and even asking questions, Twitter’s an ongoing contributor to my learning.

7. LinkedIn is where I professionally socialize, and it’s becoming more prominent in my interactions. People reach out to me there, and I also track some folks, and there are occasionally interesting discussions.

8. Zoom has, well, zoomed up to the top of my interaction tool suite.  I’ve used it for chats, meetings, and webinars.

Then, of course, there’s searching for answers.

9. DuckDuckGo. I’ve switched to use this as my search engine, as it’s less-tracking, and provides good results.

10. Safari is still my browser of choice. I’ve experimented with Brave, but it hadn’t synched bookmarks across my devices. Now it does, but it’s hard to switch again.

So that’s my 2021 top 10 learning tools list. (Not really in any order, but I’ve numbered anyway. ;) It’s a personal list, since I’m not formally in education nor part of a workplace. I’ve been using Teams  more, but I still find it has silly limitations, so my preference is Slack.

 

 

Exploring Exploration

15 June 2021 by Clark Leave a Comment

Compass  Learning, I suggest, is action and reflection. (And instruction should be  designed action and  guided reflection.) What that action typically ends up being is some sort of exploration (aka experimentation). Thus, in my mind, exploration is a critical concept for learning. That makes it worth exploring exploration.

In learning, we must experiment (e.g. act) and observe and reflect on the outcomes. We learn to minimize surprise, but we also act to generate surprise. I stipulate that we do so when the costs of getting it wrong are low. That is, making learning  safe. So providing a safe sandbox for exploration is a support for learning. Similarly, have low consequences for mistakes generated through informal learning.

However, our explorations aren’t necessarily efficient nor effective. Empirically, we can make ineffective choices such as changing more than one variable at a time, or missing an area of exploration completely. For instruction, then, we need support. Many years ago, Wallace Feurzig argued for  guided exploration, as opposed to free search (the straw man used to discount constructivist approaches). So putting constraints on the task and/or the environment can support making exploration more effective.

Exploration also drives informal learning. Diversity on a team, properly managed, increases the likelihood of searching a broader space of solutions than otherwise. There are practices that increase the effectiveness of the search. Similarly, exploration should be focused on answering questions. We also want serendipity, but there should be guidelines that keep the consequences under control.

By making exploration safe and appropriately constrained, we can advance our understanding most rapidly, either helping some folks learn what others know, or advance what we all know. Exploration is a key to learning, and we need to understand it. Thus, we should also keep exploring exploration!

New recommended readings

8 June 2021 by Clark Leave a Comment

My Near Book ShelfOf late, I‘ve been reading quite a lot, and I‘m finding some very interesting books. Not all have immediate take homes, but I want to introduce a few to you with some notes. Not all will be relevant, but all are interesting and even important. I‘ll also update my list of recommended readings. So here are my new recommended readings. (With Amazon Associates links: support your friendly neighborhood consultants.)

First, of course, I have to point out my own Learning Science for Instructional Designers. A self-serving pitch confounded with an overload of self-importance? Let me explain. I am perhaps overly confident that it does what it says, but others have said nice things. I really did design it to be the absolute minimum reading that you need to have a scrutable foundation for your choices. Whether it succeeds is an open question, so check out some of what others are saying. As to self-serving, unless you write an absolute mass best-seller, the money you make off books is trivial. In my experience, you make more money giving it away to potential clients as a better business card than you do on sales. The typically few hundred dollars I get a year for each book aren‘t going to solve my financial woes! Instead, it‘s just part of my campaign to improve our practices.

So, the first book I want to recommend is Annie Murphy Paul‘s The Extended Mind. She writes about new facets of cognition that open up a whole area for our understanding. Written by a journalist, it is compelling reading. Backed in science, it’s valuable as well. In the areas I know and have talked about, e.g. emergent and distributed cognition, she gets it right, which leads me to believe the rest is similarly spot on. (Also her previous track record; I mind-mapped her talk on learning myths at a Learning Solutions conference). Well-illustrated with examples and research, she covers embodied cognition, situated cognition, and socially distributed cognition, all important. Moreover, there‘re solid implications for the redesign of instruction. I‘ll be writing a full review later, but here‘s an initial recommendation on an important and interesting read.  

I‘ll also alert you to Tania Luna‘s and LeeAnn Renninger‘s Surprise. This is an interesting and fun book that instead of focusing on learning effectiveness, looks at the engagement side. As their subtitle suggests, it‘s about how to Embrace the Unpredictable and Engineer the Unexpected. While the first bit of that is useful personally, it‘s the latter that provides lots of guidance about how to take our learning from events to experiences. Using solid research on what makes experiences memorable (hint: surprise!) and illustrative anecdotes, they point out systematic steps that can be used to improve outcomes. It‘s going to affect my Make It Meaningful  work!

Then, without too many direct implications, but intrinsically interesting is Lisa Feldman Barrett‘s How Emotions Are Made. Recommended to me, this book is more for the cog sci groupie, but it does a couple of interesting things. First, it creates a more detailed yet still accessible explanation of the implications of Karl Friston‘s Free Energy Theory. Barrett talks about how those predictions are working constantly and at many levels in a way that provides some insights. Second, she then uses that framework to debunk the existing models of emotions. The experiments with people recognizing facial expressions of emotion get explained in a way that makes clear that emotions are not the fundamental elements we think they are. Instead, emotions social constructs! Which undermines, BTW, all the facial recognition of emotion work.

I also was pointed to Tim Harford‘s The Data Detective, and I do think it‘s a well done work about how to interpret statistical claims. It didn‘t grip me quite as viscerally as the afore-mentioned books, but I think that‘s because I (over-)trust my background in data and statistics. It is a really well done read about some simple but useful rules for how to be a more careful reviewer of statistical claims. While focused on parsing the broader picture of societal claims (and social media hype), it is relevant to evaluating learning science as well.  

I hope you find my new recommended readings of interest and value. Now, what are you recommending to me? (He says, with great trepidation. ;)

The case for model answers (and a rubric)

3 June 2021 by Clark 4 Comments

Human body modelAs I‘ve been developing online workshops, I‘ve been thinking more about the type of assessment I want. Previously, I made the case for gated submissions. Now I find another type of interaction I‘d like to have. So here‘s the case for model answers (and a rubric).

As context, many moons ago we developed a course on speaking to the media. This was based upon the excellent work of the principals of Media Skills, and was a case study in my  Engaging Learning book. They had been running a face to face course, and rather than write a book, they wondered if something else could be done. I was part of a new media consortium, and was partnered with an experienced CD ROM developer to create an asynchronous elearning course.  

Their workshop culminated in a live interview with a journalist. We couldn‘t do that, but we wanted to prepare people to succeed at that as an optional extra next step. Given that this is something people really fear (apocryphally more than death), we needed a good approximation. Along with a steady series of exercises going from recognizing a good media quote, and compiling one, we wanted learners to have to respond live. How could we do this?

Fortunately, our tech guy came up with the idea of a programmable answering machine. Through a series of menus, you would drill down to someone asking you a question, and then record an answer. We had two levels: one where you knew the questions in advance, and the final test was one where you‘d have a story and details, but you had to respond to unanticipated questions.  

This was good practice, but how to provide feedback? Ultimately, we allowed learners to record their answers, then listen to their answers and a model answer. What I‘d add now would be a rubric to compare your answer to the model answer, to support self-evaluation. (And, of course, we’d now do it digitally in the environment, not needing the machine.)

So that‘s what I‘m looking for again. I don‘t need verbal answers, but I do want free-form responses, not multiple-choice. I want learners to be able to self-generate their own thoughts. That‘s hard to auto-evaluate. Yes, we could do whatever the modern equivalent to Latent Semantic Analysis is, and train up a system to analyze and respond to their remarks. However, a) I‘m doing this on my own, and b) we underestimate, and underuse, the power of learners to self-evaluate.  

Thus, I‘m positing a two stage experience. First, there‘s a question that learners respond to. Ideally, paragraph size, though their response is likely to be longer than the model one; I tend to write densely (because I am). Then, they see their answer, a model answer, and a self-evaluation rubric.  

I‘ll suggest that there‘s a particular benefit to learners‘ self-evaluating. In the process (particularly with specific support in terms of a mnemonic or graphic model), learners can internalize the framework to guide their performance. Further, they can internalize using the framework and monitoring their application to become self-improving learners.

This is on top of providing the ability to respond in richer ways that picking an option out of those provided. It requires a freeform response, closer to what likely will be required after the learning experience. That‘s similar to what I‘m looking for from the gated response, but the latter expects peers and/or instructors to weigh in with feedback, where as here the learner is responsible for evaluating. That‘s a more complex task, but also very worthwhile if carefully scaffolded.  

Of course, it‘d also be ideal if an instructor is monitoring the response to look for any patterns, but that‘s outside the learners‘ response. So that‘s the case for model answers. So, what say you? And is that supported anywhere or in any way you know?

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