Subject: Re: Learning Objects, Adaptable? New Instructional Design Methodology
From: Clark Quinn (cquinn@knowledgeplanet.com)
Date: Wed 16 Feb 2000 - 21:35:11 MET
Date: Wed, 16 Feb 2000 12:35:11 -0800 From: Clark Quinn <cquinn@knowledgeplanet.com> Subject: Re: Learning Objects, Adaptable? New Instructional Design Methodology
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>Individual traits are becoming a more and more important issue in the
>research on adaptive learning systems as systems start providing
>different kinds of material for learning the same content and
>researchers start realizing that the different students need
>different material not only because their knowledge level is
>different.
It seems intuitively obvious that we can and should do this, yes.
>The problem is that that there is a serious luck of understanding of
>what kinds of learning material/settings is beneficial for different
>classes of students. We do not know even what these different classes
>are.
Agreed, that the literature seems confused at best.
As a research endeavor, I'd believe that the proper way to go about it is a nice series of controlled studies.
And there are LOTS of variables to address. Sequencing, highlighting, presentation modality. There's some reason to believe that the only way to go about it is to use computer systems, as a way to control variability.
>So, before trying to get active adaptation to something else than
>user knowledge to the everyday practice, we will need a lot more
>research. So far the only thing we could provide is adaptability.
I should note that Peter makes an important distinction between adaptation (what the system does differently on it's own initiative), and adaptability (what the system does differently on the user's initiative; e.g. setting preferences).
>Provide a variety of educational material and let the user choose.
Which is one method to collect data for adaptivity.
On the other hand, can we take best guesses on the basis of what we can predict based upon cognitive science theory, and then iteratively improve (perhaps even with machine learning)? As long as we initially fine tune to make sure it's no worse on educational effectiveness, and aesthetic experience?
-- Clark
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