Automated Educational Course Metadata Generation Based on Semantics Discovery

摘要

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.