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Agent-Based Consultation Support for Learners in E-learning System

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Soft Computing as Transdisciplinary Science and Technology

Part of the book series: Advances in Soft Computing ((AINSC,volume 29))

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Abstract

In the e-learning environment for self-study style, the means to solve learner’s problems such as worry and uneasiness are very limited. In such environment, even if traditional consultation service is provided, the ability to response case by case is not enough in most cases. In real society, a learner trends to consult advisors such as teachers or familiar friends, when he has a problem which he cannot solve by himself. In this research, we proposed a new agent-based study support system, which chooses an appropriate advisor instead of the learner and adjust schedule plans between both of them. To achieve this system, advisor-choosing mechanism and schedule-adjusting mechanisms are implemented.

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References

  1. Kazuhiko Sato, et al.: A Support Method for Match-Making Using Agent’s Persuasion Mechanism Considering User’s Psychological States, The Journal of Information Processing Society of Japan, Vol.43, No.2, pp.513–529, 2002.

    Google Scholar 

  2. Heider, F.: The psychology of interpersonal relations, John Wiley, 1958.

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  3. Takayuki Ito, Toramatsu Shintani: On a Persuasion Mechanism Among Agents for Group Choice Design Support Systems, in the journal of IEICE, D-II, Vol.J80, No.9, 1997.

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  4. Leonard N. Foner, “Yenta: A Multi-Agent, Referral Based Matchmaking System”, The First International Conference on Autonomous Agents (Agents’ 97), Marina del Rey, California, February’ 97, 1997.

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  5. K. Sycara, J. Lu, M. Klusch, and S. Widoff. “Matchmaking Among Heterogeneous Agents on the Internet”. Proceedings AAAI Spring Symposium on Intelligent Agents in Cyberspace, Stanford, USA, 1999.

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© 2005 Springer-Verlag Berlin Heidelberg

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Sato, K., Ozaki, F., Luengruengrit, S., Sugioka, I. (2005). Agent-Based Consultation Support for Learners in E-learning System. In: Abraham, A., Dote, Y., Furuhashi, T., Köppen, M., Ohuchi, A., Ohsawa, Y. (eds) Soft Computing as Transdisciplinary Science and Technology. Advances in Soft Computing, vol 29. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32391-0_125

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  • DOI: https://doi.org/10.1007/3-540-32391-0_125

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25055-5

  • Online ISBN: 978-3-540-32391-4

  • eBook Packages: EngineeringEngineering (R0)

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