Optimal study number of stochastic e-learning system

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.