Skip to main content

Stochastic Applications for e-Learning System

  • Conference paper
Intelligent Interactive Multimedia: Systems and Services

Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 14))

  • 1153 Accesses

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  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 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Syouji Nakamura .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Nakamura, S., Nakayama, K., Nakagawa, T. (2012). Stochastic Applications for e-Learning System. In: Watanabe, T., Watada, J., Takahashi, N., Howlett, R., Jain, L. (eds) Intelligent Interactive Multimedia: Systems and Services. Smart Innovation, Systems and Technologies, vol 14. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29934-6_54

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-29934-6_54

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29933-9

  • Online ISBN: 978-3-642-29934-6

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics