Adaptation “in the wild”: ontology-based personalization of open-corpus learning material

Authors:
Sergey Sosnovsky;I.-Han Hsiao;Peter Brusilovsky
Affiliations:
DFKI, Center for e-Learning Technology, Saarbrücken, Germany;School of Information Sciences, University of Pittsburgh, Pittsburgh, PA;School of Information Sciences, University of Pittsburgh, Pittsburgh, PA
Venue:
EC-TEL'12 Proceedings of the 7th European conference on Technology Enhanced Learning
Year:
2012

Citing 3
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Abstract

Teacher and students can use WWW as a limitless source of learning material for nearly any subject. Yet, such abundance of content comes with the problem of finding the right piece at the right time. Conventional adaptive educational systems cannot support personalized access to open-corpus learning material as they rely on manually constructed content models. This paper presents an approach to this problem that does not require intervention from a human expert. The approach has been implemented in an adaptive system that recommends students supplementary reading material and adaptively annotates it. The results of the evaluation experiment have demonstrated several significant effects of using the system on students' learning.