Abstract
Current educational systems use advanced mechanisms for adaptation by utilizing available knowledge about the domain. However, describing a domain area in sufficient detail to allow accurate personalization is a tedious and time-consuming task. Only few works are related to the support of teachers by discovering the knowledge from educational material. In this paper we present a method for automated metadata generation addressing the educational knowledge discovery problem. We employ several techniques of data mining with regards to the e-learning environment and evaluate the method on functional programming course.
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Šimko, M., Bieliková, M. (2009). Automated Educational Course Metadata Generation Based on Semantics Discovery. In: Cress, U., Dimitrova, V., Specht, M. (eds) Learning in the Synergy of Multiple Disciplines. EC-TEL 2009. Lecture Notes in Computer Science, vol 5794. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04636-0_11
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DOI: https://doi.org/10.1007/978-3-642-04636-0_11
Publisher Name: Springer, Berlin, Heidelberg
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