Exploring affiliation network models as a collaborative filtering mechanism in e-learning
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BibTeX
@MISC{Sicilia_exploringaffiliation,
author = {Miguel-angel Sicilia and Salvador Sánchez-alonso and Leonardo Lezcano},
title = {Exploring affiliation network models as a collaborative filtering mechanism in e-learning},
year = {}
}
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Abstract
Abstract. The on-line interaction of learners and tutors in activities with concrete objectives provides a valuable source of data that can be analyzed for different purposes. One of these purposes is the use of the information extracted from that interaction to aid tutors and learners in decision making about the configuration of further learning activities or the filtering of learning resources. This paper explores the use of an affiliation network model for such kind of purposes. Concretely, the use of blockmodelling and the examination of m-slices are explored as tools to decide on the configuration of topics and/or learner groups.
Citations
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