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Author(s): T. Tang & G. McCalla
Abstract:
In this chapter we discuss an e-learning system that recommends research papers
to students wishing to learn an area of research.
Recommender systems in the
e-learning domain have specific requirements not present in other domains, most
importantly the need to take into account pedagogical aspects of the learner and the
system (such as the learning goals of each) and the need to recommend sequences
of items in a pedagogically effective order.
First, the architecture and some of the
basic methodologies of the system are presented.
Then, two studies are presented
showing some of the ‘pedagogical’ characteristics affecting recommendations and
comparing two recommendation algorithms: one that is content-based and the other
that employs hybrid content-collaborative filtering and clustering techniques.
We
then generalize from the recommender system to discuss a general approach to
the design of an e-learning application called the ecological approach, which is
centered on finding patterns in learners’ interactions with learning objects and using
these to actively compute information relevant to the application that is sensitive to
the current end use context, especially to characteristics and goals of the learner.
The
ecological approach holds the promise of overcoming many problems in e-learning
that have made systems controlling and unresponsive.
...
Pages: 20
Size: 431 kb
Paper DOI: 10.2495/1-84564-152-3/06
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