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Automated Educational Course Metadata Generation Based on Semantics Discovery

  • Marián Šimko
  • Mária Bieliková
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5794)

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.

Keywords

Educational knowledge discovery metadata generation domain model adaptive educational course authoring 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Marián Šimko
    • 1
  • Mária Bieliková
    • 1
  1. 1.Institute of Informatics and Software Engineering, Faculty of Informatics and Information TechnologySlovak University of TechnologyBratislavaSlovakia

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