Abstract
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.
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© 2012 Springer-Verlag Berlin Heidelberg
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Nakamura, S., Nakayama, K., Nakagawa, T. (2012). Stochastic Applications for e-Learning System. In: Watanabe, T., Watada, J., Takahashi, N., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia: Systems and Services. Smart Innovation, Systems and Technologies, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29934-6_54
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DOI: https://doi.org/10.1007/978-3-642-29934-6_54
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29933-9
Online ISBN: 978-3-642-29934-6
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