Stochastic Applications for e-Learning System
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.
KeywordsWeibull Distribution Damage Model Study Support Interval Policy Total Cost Increase
Unable to display preview. Download preview PDF.
- 1.Obara, Y. (ed.): ICT using on University class. Tamagawa university press (2002) (in Japanese)Google Scholar
- 2.Ueno, M.: Knowledge Society in E-learning. Baifuukann (2007) (in Japanese)Google Scholar
- 3.Yamashita, J., et al.: Development of Aiding System for the Support for Distance Learners. JSiSE Research Report 23(2), 41–46 (2008) (in Japanese)Google Scholar
- 4.Nakamura, S., Nakayama, K., Nakagawa, T.: The optimal study sup-port interval policy in e-learning. Discussion Paper, Institute of Eco-nomics Chukyo University. No. 0812 (2009)Google Scholar
- 5.Nakayama, K. (ed.), Nakamura, S., Nakagawa, T., et al.: Associated Economics filed Stochastic Process and Education. Keisou Syobou (2011) (in Japanese)Google Scholar
- 6.Nakagawa, T.: Mentencne Theory of Reliability. Springer (2005)Google Scholar
- 7.Nakagawa, T.: Shock and Damage Models in Reliability Theory. Springer (2007)Google Scholar
- 8.Takaćs, L.: Stochastic Processes. Wiley (1960)Google Scholar
- 9.Barlow, R.E., Proschan, F.: Mathematical Theory of Reliability. Wiley, New York (1965)Google Scholar