随机电子学习系统的最优学习数

S. Nakamura, Keiko Nakayama, T. Nakagawa
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引用次数: 0

摘要

本文利用电子学习系统中内容的访问日志数据,建立了一个随机模型。如果讲师不能在电子学习系统中为学习者提供合适的学习支持,那么学习者可能会退出学习系统。然而,如果讲师能在计划的时间为学习者提供适当的支持,学习者就能达到目标。从这一观点出发,提出了学习支持系统的两个随机问题,并从理论上和数值上讨论了在获取项目数量具有威布尔分布和正态分布的情况下,其最优策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal study number of stochastic e-learning system
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.
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