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metadata
Mon, 1 Dec 2003 15:23:34 -0000
Reply-To: John Casey {DAICE} <john.casey@STIR.AC.UK>
From: John Casey {DAICE} <john.casey@STIR.AC.UK>
Subject: Re: Thesauri and authority files for keywords
To: CETIS-METADATA@JISCMAIL.AC.UK
Hi Steve
I think the role of 'subjective metadata' and 'recommender systems' is going
to be what makes e-learning collections fly - this has also been called
'secondary metadata'. The trick is how to do it - I think some of the
e-commerce solutions (reviews, help notes, tech discussion boards etc) give
part of the possible solution, but I think there has to be some human agency
involved - if you like a librarian or community facilitator with some
quality assurance built in as well.
Aida Slavic made a useful comment a while back and said that terms like
'secondary' metadata are fairly empty and it would be much better to use a
term like secondary resources. This makes a lot of sense as the reviews etc
in themselves constitute resources and could be used separately.
I don't think the choice is between a tech solution or a human one - I think
the question is what mix do we need to get what we want.
Just on a very general point my (small) understanding of AI techniques
suggests they work best on well defined problem spaces with well developed
knowledge bases. If this is the case (and I could well be way off beam
here!) how can this apply to subjective or soft data about learning
materials where there are a number of competing theories to explain learning
and a very broad range of descriptors for pedagogic transaction?
This, to me, is one of the attractions of the review / user note approach -
it uses human agents for what they are best at - dealing with complexity
(all be it very messily!). There are countless reviews and advice sources on
the web (and in the real world) and people use them a lot - what happens is
that the user finds a review that seems to meet their requirements and often
they use that review source again because they seem on the 'right
wavelength'. This way we use human agents to filter out the data we want -
this is almost like a return to the traditional subject librarian you get in
research centres. The natural source of this type of expertise for learning
object repositories are the users - so I think we need a community service
approach - you only have to look at tech discussion boards to see a model.
Cheers
John
- I think the role of 'subjective metadata' and
'recommender systems' is going to be what makes
e-learning collections fly - this has also been
called 'secondary metadata'. The trick is how to do
it - I think some of the e-commerce solutions
(reviews, help notes, tech discussion boards etc)
give part of the possible solution, but I think there
has to be some human agency involved - if you
like a librarian or community facilitator with some
quality assurance built in as well.