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Clark Quinn’s Learnings about Learning

HyperCard reflections #hypercard25th

10 August 2012 by Clark 3 Comments

It’s coming up to the 25th anniversary of HyperCard, and I’m reminded of how much that application played a role in my thinking and working at the time. Developed by Bill Atkinson, it was really ‘programming for the masses’, a tool for the Macintosh that allowed folks to easily build simple, and even complex, applications. I’d programmed in other environments : Algol, Pascal, Basic, Forth, and even a little Lisp, but this was a major step forward in simplicity and power.

Screen from Voodoo AdventureA colleague of mine who was working at Claris suggested how cool this new tool was going to be, and I taught myself HyperCard while doing a postdoc at the University of Pittsburgh’s Learning Research and Development Center. I used it to prototype my ideas of a learning tool we could use for our research on children’s mental models of science. I then used it to program a game based upon my PhD research, embedding analogical reasoning puzzles into a game (Voodoo Adventure; see screenshot). I wrote it up and got it published as an investigation how games could be used as cognitive research tools. To little attention, back in ’91 :).

While teaching HCI, I had my students use HyperCard to develop their interface solutions to my assignments. The intention was to allow them to focus more on design and less on syntax. I also reflected on how the interface encapsulated to some degree on what Andi diSessa called ‘incremental advantage’, a property of an environment that rewarded greater investments in understanding with greater power to control the system. HyperCard’s buttons, fields, and backgrounds provided this, up until the next step to HyperTalk (which also had that capability once you got into the programming notion). I also proposed that such an environment could support ‘discoverability’ (a concept I learned from Jean Marc Robert), where an environment could support experimentation to learn to use it in steady ways. Another paper resulted.

I also used HyperCard to develop applications in my research. We used it to develop Quest for Independence, a game that helped kids who grew up without parents (e.g. foster care) learn to survive on their own. Similarly, we developed a HCI performance support tool. Both of these later got ported to the web as soon as CGI’s came out that let the web retain state (you can still play Quest; as far as I know it was the first serious game you could play on the web).

The other ways HyperCard were used are well known (e.g. Myst), but it was a powerful tool for me personally, and I still miss having an easy environment for prototyping. I don’t program anymore (I add value other ways), but I still remember it fondly, and would love to have it running on my iPad as well! Kudos to Bill and Apple for creating and releasing it; a shame it was eventually killed through neglect.

mLearning 3.0

18 July 2012 by Clark 2 Comments

Robert Scoble has written about Qualcomm’s announcement of a new level of mobile device awareness. He characterizes the phone transitions from voice (mobile 1.0) to tapping (2.0) to the device knowing what to do (3.0).  While I’d characterize it differently, he’s spot on about the importance of this new capability.

I’ve written before about how the missed opportunity is context awareness, specifically  not just location but time.  What Qualcomm has created is a system that combines location awareness, time awareness, and the ability to build and leverage a rich user profile. Supposedly, according to Robert, it’s also tapped into the accelerometer, altimeter, whatever sensors there are.  It’ll be able to know in pretty fine detail a lot more about where you are and doing.

Gimbal is  mostly  focused on marketing  (of course, sigh), but imagine what we could do for learning and performance support!

We can now know who you are and what you’re doing, so:

  • a sales team member visiting a client would get specialized information different than what a field service tech would get at the same location.
  •  a student of history would get different information at a particular location such as Boston than an architecture student would
  • a person learning how to manage meetings more efficiently would get different support than a person working on making better presentations

I’m sure you can see where this is going.  It may well be that we can coopt the Gimbal platform for learning as well.  We’ve had the capability before, but now it may be much easier by having an SDK available.  Writing rules to take advantage of all the sensors is going to be a big chore, ultimately, but if they do the hard yards for their needs, we may be able to ride on the their coattails for ours.  It may be an instance when marketing does our work for us!

Mobile really is a game changer, and this is just another facet taking it much further along the digital human augmentation that’s making us much more effective in the moment, and ultimately more capable over time.  Maybe even wiser. Think about that.

Emergent & Semantic Learning

10 July 2012 by Clark 2 Comments

The last of the thoughts still percolating in my brain from #mlearncon finally emerged when I sat down to create a diagram to capture my thinking (one way I try to understand things is to write about them, but I also frequently diagram them to help me map the emerging conceptual relationships into spatial relationships).

Semantic and Emergent rules for contentWhat I was thinking about was how to distinguish between emergent opportunities for driving learning experiences, and semantic ones.  When we built the Intellectricity© system, we had a batch of rules that guided how we were sequencing the content, based upon research on learning (rather than hardwiring paths, which is what we mostly do now).  We didn’t prescribe, we recommended, so learners could choose something else, e.g. the next best, or browse to what they wanted.  As a consequence, we also could have a machine learning component that would troll the outcomes, and improve the system over time.

And that’s the principle here, where mainstream systems are now capable of doing similar things.  What you see here are semantic rules (made up ones), explicitly making recommendations, ideally grounded in what’s empirically demonstrated in research.  In places where research doesn’t stipulate, you could also make principled recommendations based upon the best theory.  These would recommend objects to be pulled from a pool or cloud of available content.

However, as you track outcomes, e.g. success on practice, and start looking at the results by doing data analytics, you can start trolling for emergent patterns (again, made up).  Here we might find confirmation (or the converse!) of the empirical rules, as well as potentially  new patterns that we may be able to label semantically, and even perhaps some that would be new.  Which helps explain the growing interest in analytics.  And, if you’re doing this across massive populations of learners, as is possible across institutions, or with really big organizations, you’re talking the ‘big data’ phenomena that will provide the necessary quantities to start generating lots of these outcomes.

Another possibility is to specifically set up situations where you randomly trial a couple alternatives that are known research questions, and use this data opportunity to conduct your experiments. This way we can advance our learning more quickly using our own hypotheses, while we look for emergent information as well.

Until the new patterns emerge, I recommend adapting on the basis of what we know, but simultaneously you should be trolling for opportunities to answer questions that emerge as you design, and look for emergent patterns as well.  We have the capability (ok, so we had it over a decade ago, but now the capability is on tap in mainstream solutions, not just bespoke systems), so now we need the will.  This is the benefit of thinking about content as systems – models and architectures – not just as unitary files.  Are you ready?

 

5 Phrases to Make Mobile Work

20 June 2012 by Clark 2 Comments

Today I was part of a session at the eLearning Guild’s mLearnCon mlearning conference on Making Mobile Work.  For my session I put my tongue slightly in cheek and suggested that there were 5 phrases you need to master to Make mLearning Work.  Here they are, for your contemplation.

The first one is focused on addressing either or both of yourself or any other folks who aren’t yet behind the movement to mobile:

How does your mobile device make you smarter?

The point being that there are lots of ways we’re all already using mobile to help us perform.  We look up product info while shopping, use calculators to split up the bill, we call folks for information in problem-solving like what to bring home from the grocery store, and we take photos of things we need to remember like hotel room numbers or parking spots.  If you aren’t pushing this envelope, you should be.  And if folks aren’t recognizing the connection between how they help themselves and what the organization could be doing for employees or customers, you should be helping them.

The second one focuses on looking beyond the initial inference from the phrase “mlearning”:

Anything but a course!

Here we’re trying to help our stakeholders (and designers) think beyond the course and think about performance support, informal learning, collaboration, and more.  While it might be about augmenting  a course, it’s more likely to be access to information and people, as well as computational support.  Mobile learning is really mobile performance support and mobile social.

The third key phrase emphasizes taking a strategic approach:

Where’s the business need?

Here we’re emphasizing the ‘where’ and  the ‘business’.  What’s important is thinking about meeting real business needs, with metrics and everything.  What do the folks who are performing away from their desks need?  What small thing could you be doing that would make that activity have a much more positive impact on the bottom line?

The fourth phrase is specifically focused on design:

What’s the least I can do for you?

It’s not about doing everything you can, but instead focusing on the minimal impact to get folks back into the workflow.  Mobile is about the 20% of the features that will meet 80% of the need.  It’s about the least assistance principle.  It’s about elegance and relevance.

From there, we finish by focusing on our providers:

Do you have a mobile solution?

Look, mobile is more than just a tactic, it’s a platform, and you need to recognize it as such. Frankly, if a vendor of an enterprise solution (except, perhaps, for computationally intensive work like 3D rendering and so on) doesn’t  have a mobile solution, I reckon it’s a deal-breaker.  This is where mobile is really the catalyst for change: it’s bringing a full suite of technology support whenever and wherever needed, so we need to start thinking about what a full suite of support is. What is a full performance ecosystem?

So there you have it, the gist of the presentation.  If you master the concepts behind these phrases and employ them judiciously, I do believe you’ll have a better chance of making mlearning work.

Positive Payload Weapons Presentation Mindmap

25 May 2012 by Clark Leave a Comment

The other evening I went off to hear an intriguing sounding presentation on Positive Payload Weapons by Margarita Quihuis (who really just introduced the session) and Mark Nelson. As I sometimes do, I mind mapped it.

Positive Payload Weapons presentation mind map

I have to say it’s an intriguing framework, but it appeared that they’ve not yet really put it into practice.  In short, as the diagram in the lower right suggests, weapons have evolved to do more damage at greater range (from knives one on one to atomic bombs across the world). What could we do to evolve doing more good at greater range?  From personal kudos to, well, that’s the open question.  They cited the Israel-Iran  Love Bombs  as an example, and the tactical  response.

Oh, yeah, the drug part is the serotonin you get from doing positive things (or something like that).

Style-ish

26 April 2012 by Clark Leave a Comment

I’m a real fan of styles, ala Microsoft Word.  If you don’t get  this concept, I wish you would.  Let me explain.

The concept is fairly simple. Instead of hand-formatting a document by manually adding in bold, font sizes, italics, indents, extra paragraph returns, you define a paragraph as a ‘style’.  That is, you say this paragraph is a heading 1, that paragraph is normal or body text, this other one is a figure, etc. Then you define what a heading one looks like: bold, font size 14, with space before of 6 pts, and space after of 6 pts, etc.

Why use styles?  Several reasons. First, I can then use the outline feature to organize my writing, and then automatically have the right headings.  Second, if I add in content, I don’t have to hand-reformat the way returns have been used to force page breaks (really).  Third, and most importantly, if someone wants there to be a different look and feel to the document, I just change the definition of styles, I don’t have to manually reformat the document.

If you use styles correctly, the document automatically handles things like page breaks and formatting, so the document looks great no matter how you change and edit it. Which is why, when someone sends me a document to edit that is hand formatted, I’ll often redo the whole (darn) thing in styles, just to make my life easier.  And grumble, with less than complimentary thoughts about the author.

Now, styles are not just in Microsoft Word, they’re in Pages, Powerpoint, Keynote, and other places where you end up having repeated formats.  They may have a different title, but the idea plays a role in templates, or themes, or masters, or other terms, but the concept is about separating out what it says from how it looks, and having the description of how it looks separately editable from what it says.  It’s the point behind CSS and XML, but it manifests increasingly in smart content.

And I admit, I’m  really good with styles in Word, I’m pretty good in Pages, and still wrestle with Keynote, and I don’t know about other tools like Excel, but I reckon the concept is important enough that it should start showing up everywhere.

Please, please, use styles. At least in anything you send to me ;).

Les Foltos #EDGEX2012 Mindmap

14 March 2012 by Clark Leave a Comment

Les Foltos made a passionate and eloquent argument for good pedagogy first.

20120314-132045.jpg

George Siemens #EDGEX2012 Mindmap

12 March 2012 by Clark 1 Comment

George Siemens kicked off the EDGEX conference with a broad reaching and insightful review of the changes in higher education.

20120312-144801.jpg

Reimagining Learning

8 March 2012 by Clark 20 Comments

On the way to the recent Up To All Of Us unconference  (#utaou), I hadn’t planned a personal agenda.  However, I was going through the diagrams that I’d created on my iPad, and discovered one that I’d frankly forgotten. Which was nice, because it allowed me to review it with fresh eyes, and it resonated.  And I decided to put it out at the event to get feedback.  Let me talk you through it, because I welcome your feedback too.

Up front, let me state at least part of the motivation.  I’m trying to capture rethinking about education or formal learning. I’m tired of anything that allows folks to think knowledge dump and test is going to lead to meaningful change.  I’m also trying to ‘think out loud’ for myself.   And start getting more concrete about learning experience design.

Let me start with the second row from the top.  I want to start thinking about a learning experience as a series of activities, not a progression of content.  These can be a rich suite of things: engagement with a simulation, a group project, a museum visit, an interview, anything you might choose for an individual to engage in to further their learning. And, yes, it can  include traditional things: e.g. read this chapter.

This, by the way, has a direct relation to Project Tin Can, a proposal to supersede SCORM, allowing a greater variety of activities: Actor – Verb – Object, or I – did – this.  (For all I can recall, the origin of the diagram may have been an attempt to place Tin Can in a broad context!)

Around these activities, there are a couple of things. For one, content is accessed on the basis of the activities, not the other way around. Also, the activities produce products, and also reflections.

For the activities to be maximally valuable, they should produce output.  A sim use could produce a track of the learner’s exploration. A group project could provide a documented solution, or a concept-expression video or performance. An interview could produce an audio recording.  These products are portfolio items, going forward, and assessable items.  The assessment could be self, peer, or mentor.

However, in the context of ‘make your thinking visible’ (aka ‘show your  work’), there should also be reflections or cognitive annotations.  The underlying thinking needs to be visible for inspection. This is also part of your portfolio, and assessable. This is where, however, the opportunity to really recognize where the learner is, or is not, getting the content, and detect opportunities for assistance.

The learner is driven to content resources (audios, videos, documents, etc) by meaningful activity.  This in opposition to the notion that content dump happens before meaningful action. However, prior activities can ensure that learners are prepared to engage in the new activities.

The content could be pre-chosen, or the learners could be scaffolded in choosing appropriate materials. The latter is an opportunity for meta-learning.  Similarly, the choice of product could be determined, or up to learner/group choice, and again an opportunity for learning cross-project skills.  Helping learners create useful reflections is valuable (I recall guiding honours students to take credit for  the work they’d done; they were blind to much of the own hard work they had put in!).

When I presented this to the groups, there were several questions asked via post-its on the picture I hand-drew. Let me address them here:

What scale are you thinking about?

This unpacks. What goes into activity design is a whole separate area. And learning experience design may well play a role beneath this level.  However, the granularity of the activities is at issue.  I think about this at several scales, from an individual lesson plan to a full curriculum.    The choice of evaluation should be competency-based, assessed by rubrics, even jointly designed ones.  There is a lot of depth that is linked to this.

How does this differ from a traditional performance-based learning model?

I hadn’t heard of performance-based learning. Looking it up, there seems considerable overlap.  Also with outcome-based learning,  problem-based learning, or service learning, and similarly Understanding By Design.  It may not be more, I haven’t yet done the side-by-side. It’s scaling it up , and arguably a different lens, and maybe more, or not.  Still, I’m trying to carry it to more places, and help provide ways to think anew about instruction and formal education.

An interesting aside, for me, is that this does  segue to informal learning. That is, you, as an adult, choose certain activities to continue to develop your ability in certain areas.  Taking this framework provides a reference for learners to take control of their own learning, and develop their ability to be better learners.  Or so I would think, if done right.  Imagine the right side of the diagram moving from mentor to learner control.

How much is algorithmic?

That really depends.  Let me answer that in conjunction with this other comment:

Make a convert of this type of process out of a non-tech traditional process and tell that story…  

I can’t do that now, but one of the attendees suggested this sounded a lot like what she did in traditional design education. The point is that this framework is independent of technology.  You could be assigning studio and classroom and community projects, and getting back write-ups, performances, and more.  No digital tech involved.

There are definite ways in which technology can assist: providing tools for content search, and product and reflection generation, but this is not  about technology. You could be algorithmic in choosing from a suite of activities by a set of rules governing recommendations based upon learner performance, content available, etc.  You could also be algorithmic in programming some feedback around tech-traversal.  But that’s definitely not where I’m going right now.

Similarly, I’m going to answer two other questions together:

 How can I look at the path others take? and How can I see how I am doing?

The portfolio is really the answer.  You should be getting feedback on your products, and seeing others’ feedback (within limits).  This is definitely not intended to be individual, but instead hopefully it could be in a group, or at least some of the activities would be (e.g. communing on blog posts, participating in a discussion forum, etc).  In a tech-mediated environment, you could see others’ (anonymized) paths, access your feedback, and see traces of other’s trajectories.

The real question is: is this formulation useful? Does it give you a new and useful way of thinking about designing learning, and supporting learning?

70:20:10 Tech

6 March 2012 by Clark 3 Comments

At the recent Up To All Of Us event (#utaou), someone asked about the 70:20:10 model.  As you might expect, I mentioned that it’s a framework for thinking about supporting people at work, but it also occurred to me that there might be a reason folks have not addressed the 90, because, in the past, there might have been little that they could do. But that’s changed.

In the past, other than courses, there was little at could be done except providing courses on how to coach, and making job aids.  The technology wasn’t advanced enough.  But that’s changed.

Tech help by 70:20:10 stageWhat has changed are several things.  One is the rise of social networking tools: blogs, micro-blogs, wikis, and more. The other is the rise of mobile.  Together, we can be supporting the 90 in fairly rich ways.

For the 20, coaching and mentoring, we can start delivering that wherever needed, via mobile.  Learners can ask for, or even be provided, support more closely tied to their performance situations regardless of location.  We can also have a richer suite of coaching and mentoring happening through Communities of Practice, where anyone can be a coach or mentor, and be developed in those roles, too.  Learner activity can be tracked, as well, leaving traces for later review.

For the 70, we can first of all start providing rich job aids wherever and whenever, including a suite of troubleshooting information and even interactive wizards.  We also can have help on tap freed of barriers of time and distance.  We can look up information as well, if our portals are well-designed.  And we can find people to help, whether information or collaboration.

The point is that we no longer have limits in the support we can provide, so we should stop having limits in the help we *do* provide.

Yes, other reasons could still also be that folks in the L&D unit know how to do courses, so that’s their hammer making everything look like a nail, or they don’t see it as their responsibility (to which I respond “Who else? Are you going to leave it to IT? Operations?”). That *has* to change. We can, and should, do more.  Are you?

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