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Stochastic Applications for e-Learning System

  • Syouji Nakamura
  • Keiko Nakayama
  • Toshio Nakagawa
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 14)

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.

Keywords

Weibull Distribution Damage Model Study Support Interval Policy Total Cost Increase 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Syouji Nakamura
    • 1
  • Keiko Nakayama
    • 2
  • Toshio Nakagawa
    • 3
  1. 1.Kinjo Gakuin UniversityNagoyaJapan
  2. 2.Chukyo UniversityNagoyaJapan
  3. 3.Aichi Institute of TechnologyToyotaJapan

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