Optimal study number of stochastic e-learning system
by Syouji Nakamura; Keiko Nakayama; Toshio Nakagawa
International Journal of Knowledge and Web Intelligence (IJKWI), Vol. 4, No. 1, 2013

Abstract: This paper forms a stochastic model using access logging data of contents in the e-learning system. If a lecturer could not provide a suitable study support to the learner in the e-learning system, then the learner might drop out of studying the system. However, if a lecturer could provide suitable supports to the learner at planned times, the learner could attain the goal. From such viewpoints, two stochastic problems of a study support system are proposed, and their optimal policies are discussed theoretically and numerically, when the number of acquirement items has Weibull and normal distributions.

Online publication date: Mon, 18-Mar-2013

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