A Combined Method for E-Learning Ontology Population based on NLP and User Activity Analysis

نویسندگان

  • Dmitry Mouromtsev
  • Fedor Kozlov
  • Liubov Kovriguina
  • Olga Parkhimovich
چکیده

The paper describes a combined approach to maintaining an E-Learning ontology in dynamic and changing educational environment. The developed NLP algorithm based on morpho-syntactic patterns is applied for terminology extraction from course tasks that allows to interlink extracted terms with the instances of the system’s ontology whenever some educational materials are changed. These links are used to gather statistics, evaluate quality of lectures’ and tasks’ materials, analyse students’ answers to the tasks and detect difficult terminology of the course in general (for the teachers) and its understandability in particular (for every student).

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تاریخ انتشار 2014