Abstract
E-learning systems , as an education pattern, are becoming more and more popular. In e-learning systems, courseware management is an indispensable part. As the number of various courseware increases, how to find the courseware or learning materials that are most suitable to users and users of e-learning systems are most interested in is a practical problem. In this paper, we apply the idea of knowledge discovery techniques to make personalized recommendation for courseware. We design the courseware recommendation algorithm which combines contents filtering and collaborative filtering techniques. Also we propose the architecture of courseware management system with courseware recommendation, which is seamlessly integrated in our E-learning system. The experiment shows that our algorithm is able to truly reflect users’ interests with high efficiency.
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Liang, G., Weining, K., Junzhou, L. (2006). Courseware Recommendation in E-Learning System. In: Liu, W., Li, Q., W.H. Lau, R. (eds) Advances in Web Based Learning – ICWL 2006. ICWL 2006. Lecture Notes in Computer Science, vol 4181. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11925293_2
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DOI: https://doi.org/10.1007/11925293_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-49027-2
Online ISBN: 978-3-540-68509-8
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