Publication details

Modeling Students' Memory for Application in Adaptive Educational Systems



Year of publication 2015
Type Article in Proceedings
Conference Proceedings of the 8th International Conference on Educational Data Mining
MU Faculty or unit

Faculty of Informatics

Field Informatics
Keywords student modeling; human memory; evaluation
Description Human memory has been thoroughly studied and modeled in psychology, but mainly in laboratory setting under simplified conditions. For application in practical adaptive educational systems we need simple and robust models which can cope with aspects like varied prior knowledge or multiple-choice questions. We discuss and evaluate several models of this type. We show that using the extensive data sets collected by online educational systems it is possible to build well calibrated models and get interesting insight, which can be used for improvement of adaptive educational systems.

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