In thinking through how to design courses that lead to both engaging experiences and meaningful outcomes, I’ve been working on the component activities.  As part of that, I’ve been looking at elements such as pedagogy in pre-, in-, and post-class sessions so that there are  principled reasons behind the design.

 So, here I’m  looking at trying for guidance  to align what happens in all three sections.  In this  case, two major types of activities have emerged: more procedural activities, such as using equipment appropriately; and more conceptual activities such as making the right decisions of what to say and do.  These aren’t clearly discriminated, but it’s a coarse description.

Of course, there’s an introduction that both emotionally and cognitively prepares the learner for the coming learning experience.

So for conceptual tasks, what we’re looking to do is drive learning to content.  In typical  approaches, you’d be presenting conceptual information (e.g. ‘click to see more‘) and maybe asking quiz questions.  Here, I’m looking to make the task of processing the information to generate  something,  whether a document, presentation, or whatever,  and that the processing is close to the way the information will be used.  So they might create a guide for decisions (e.g. a decision tree), or a checklist, or something that requires them to use the information. (And if the information doesn’t support doing, it’s probably not necessary.)  As support, in a recent conversation I heard that interviewed organizations said that making better decisions were the keys to better job performance.

Whereas in the procedural approach, we really want to give them practice in the task. It may be scaffolded, e.g. simplified, but it’s the same  practice that they’ll need to be able to perform after the learning experience. Ideally, they’ll have to explore and use content resources to figure out how to do it appropriate, in a guided exploration sense, rather than just be given the steps.

In both  cases, models are key to helping them determine what needs to happen.  Also in both cases, an instructor should be reviewing their output. In the conceptual case, learners might get feedback on their output, and have a chance to revise their creation.  In the case of the practice, the experience is likely a simulation, and the learner should be getting feedback about their success.  In either case, the instructor has information about how the cohort is doing.  So…

…for in-class learning, the learners should be reflecting on their performances, and the instructor should be facilitating that at the beginning, using the information about what’s working (and not).  Then there should be additional activities that the learners engage in that require them interacting with the material, processing (conceptual) or applying (procedural) it with each other and then with facilitated reflection.

Finally, the learners after class should be getting given elaborative activities.  In the case of the conceptual task, coming up with an elaborated version or some additional element that helps cement the learning would be valuable.  The practice or activity should get fleshed out to the point where the learner will be capable of appropriately acting after the learning experience, owing to sufficient practice and appropriate decontextualization. The goal is for retention over time and transfer to all appropriate situations.

Am I making sense here?

A while ago, I argued for an activity-based curriculum.  The point was to rebel against the usual content-based curriculum, and push us to more meaningful learning. And, of late, I’ve had a chance to reexamine both the curriculum ideas,  and the pedagogical implications.

So I’ve been in a situation where I’ve been handed a curriculum already developed, and the content is already being fleshed out. In trying to move beyond good, albeit  traditional, elearning, I’ve been working hard on the notion of what a meaningful activity (read: practice, task, etc) would be.  As context, we’re working here within a pre-class, in-class, and post-class model.

As a consequence, I’m pushing an alternative to what would be content presentation pre-class, practice and group discussion in-class, and simulation and summary assessment  as post-class.  While this is not too far from traditional blended learning, I’m also trying to get better alignment with what learners will be doing  after the learning experience with sufficient practice.

So for each module, I’m looking for a meaningful practice.  For even a knowledge based task, I’m asking learners to develop something that requires them to integrate the knowledge, not just present and test.  And revisit the knowledge several times.  So, for example, if learners are  looking at types of hacking attacks, I ask them to create a defense plan as a pre-class task.  They’ll get a chance to self-evaluate, and instructor feedback, before generating a second attempt.  In many ways, it doesn’t matter what they create as long as they’re making a suitably sincere effort, it’s the processing that matters.

A colleague asked whether this meant that they’d always generate a product of learning, and my preliminary answer was yes, and then I realized that there was another way to view it. It could also be the trace of the learner in a simulation, but in some sense that’s a product as well.  The important point is to have learners perform and create an output of that performance as a manifestation of their thinking.  It’s not taking knowledge tests (if it absolutely has to be known cold ‘in the head’, you’ve got the excuse for a tarted-up drill-and-kill, but make sure it absolutely does), but processing information in meaningful ways.

In-class, they’ll still be doing practice and reflection, but they should be processing and/or practicing. For example, discussing and comparing the guides, and maybe then an activity that refreshes their knowledge of the attacks.  The team came up with a game that has one side giving hints about an attack, and the other side trying to guess it.

After class, it’s more elaborated practice. For instance,  they might be implementing their defenses in a sim, or refining their attacks, or…  The activities need to reinforce and build, reactivating and reapplying the knowledge in ways that mimic how it will be used in the performance context so that practice is both meaningful and spaced.

I’m still working within the existing paradigm, but the work I’m inspired by is the work of Roger Schank and his team at Socratic Arts, where they’re rethinking the curriculum more comprehensively, where they get the subject matter experts (SMEs) to sit down and come up with a series of activities that  are the curriculum. This is what I intended, but at this point I’m still working within an already underway curriculum. Even this small change will be better learning, and we will get to the curriculum as well ;).

Having found a fun site of bad UX design, someone else followed me who had the UX Drinking Game site.  And it made me think maybe we need an LX Drinking Game.  So I started tweeting out some drinking game rules. I encourage you to join in with the hashtag #LXDrinkingGame.

So, my first list of ‘drink’ cues is:

if they ask for a pre-test/post-test design

if the alternatives to the right answer are so silly or obvious that you don‘t need to know anything

if the course objectives are ‘know‘ or ‘understand‘

if someone says ‘use a click to see more‘

if someone says, use an avatar because people like it

if someone comes in and says “we need a course for this”

if someone dumps PDFs and/or PPTs on you and expects a course in a few days

if all they‘re measuring is cost/time/seat

So, what other rules do we need?  Tweets (again, #LXDrinkingGame) or comments welcome ;).

In a  previous post, I suggested that we should not do the ‘click to learn more‘, as it was just about presenting content.  But we do need to present content, so what content makes sense?  Obviously, examples are one thing, but let me make the case that the ‘how to‘, the concept, should be in the form of a model.

There’s a  problem in that Subject Matter Experts (SMEs) don‘t have access to the what they do,but  they have access to what they know, so it‘s real easy to get a knowledge dump. And it‘s hard work to make sense of it, sometimes, and it‘s easier to just recite it. For example, expertise in many areas requires careful distinctions  (e.g.  such as in instructional design between the elements of learning).  However, it‘s hard for learners to acquire all those careful distinctions without the underlying rationale of how they differ.

Similarly, most procedures to do something are guided not by arbitrary reasons, but instead are sequenced because of inherent constraints.  These constraints guide the proper procedures.  There‘s a reason you do X before Y, and then a causal relationship that explains what you look for before deciding to do W instead of  Z.

Too often, I see someone presenting learners with an arbitrary list of different things, when there are conceptual reasons why they differ. Similarly, I‘ll see steps presented without a rationale for why. And in both cases, learners will remember better, and perform more robustly (particularly in environments with changes), if they have the model that explains what to do as well as the information.  While this might seem like  more  information, it‘s really not, as the model minimizes the amount of arbitrary information you present. And it leads to better outcomes, so it would be worth it anyways.

Models give us a couple of useful things; they help us explain what has happened, and predict what will happen (e.g. if we do A, we’ll see B).  Which makes us more flexible in our actions, a useful trait.  As an aside, models also can draw upon metaphors to facilitate developing a useful understanding. Whether it‘s flows, transformations, whatever, finding a concrete equivalent in the world can help recollection and application.

The problem, of course, is getting the model. It‘s not always there, nor even easily inferable.  Which doesn‘t mean you can ignore it.  The designer must be willing to work until they can understand it.  But it‘s doable, and valuable.

So, please, model your learning design on the model of good learning with models. (Ok, I went too far there :)

All too often, when I review content, I see a recurrent interaction. And I really can‘t figure out why, except a thorough lack of understanding of learning, and a determination to put interaction in regardless. Click here to learn more.

It‘s not just the next button I‘m railing about here, but instead that, on a screen, there‘ll be n things, tabs, boxes, something, with the instructions to ‘click to learn more‘. The point being that information is available but not directly. It appears that the designer has a lot of content to present, and yet just presenting lots of content is obviously wrong, so we‘ll make it more interactive by chunking it up and then showing it iteratively with clicks. That‘s more interactive, yes?  Yes, and it‘s bad. Two problems: the content, and the interactions.

First, if you‘ve got so much content to present, it‘s a strong indicator that something‘s wrong. People aren‘t good at remembering large bits of information. They retain gist, not details. If you‘re presenting a lot of content, you‘re undoubtedly presenting too many details. Put the detail in the world if it has to be accessible. And my guess is that lots of it is ‘nice to have‘, not ‘must have‘. If it really has to go in the head, you are really going to have to do a lot more than just have them read it, you’ll need drill and kill. Instead, find the core model that predicts the right actions, and have them learn the model. Then give them practice in applying it, which leads to the second problem.  Reading once just isn’t going to have much impact.

Learners should be having meaningful interaction. The learner should be using the content to do something. Which isn‘t a click each, it‘s a click the right one. It‘s making a choice, taking an action, applying the knowledge in context to make a decision. What will make a difference to the organization is not the ability to recite knowledge (leave that to videos, documents, chatbots, what have you), but instead the ability to make better decisions.

You can do the ‘reveal’ in certain circumstances, such as to present an example: present the initial situation, then reveal to show the complication, then reveal to show the solution, and the results. (Here‘s the story: click here to see the problem that arose, click here to see the alternatives considered, click here to see the decision made, click here to see the consequences). So, it might be a somewhat engaging way to present an example, but good writing would trump that. Or you might have alternative actions and click to see the consequences of that action. Which wouldn‘t make sense if there were a right answer, or you should immediately be getting them to first commit to a choice and then provide feedback.

Where does this come from? I think it comes from the fact that Subject Matter Experts (SMEs) don‘t have access to most of what they actually do, but they do have access to all they know, so they tend to put out information. There are processes to get around this, but designers have to have the gumption to stand up to knowledge dump on the part of the SMEs and fight to find out how that information is used. It‘s not necessarily easy (though it gets easier with practice), but it is necessary.

So, please, avoid the ‘click here to learn more‘ and instead look for ‘click here to choose an action to take‘.