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Published in:
2012 | OriginalPaper | Chapter
Stochastic Applications for e-Learning System
Authors : Syouji Nakamura, Keiko Nakayama, Toshio Nakagawa
Published in: Intelligent Interactive Multimedia: Systems and Services
Publisher: Springer Berlin Heidelberg
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This paper considers the optimal facing study support interval for the learner and derive analytically the optimal interval study support policy by a stochastic model using access logging data of the e-learning system to contents. If a lecture does not provide the facing study support to the student in an e-learning system, the learner has the possibility of dropping out of the target subject to be studied. However, if the lecture indeed provides such support to the learner every time, a problem occurs from the viewpoint of its cost-effectiveness.