International Journal of Fuzzy Logic and Intelligent Systems

  • 제10권1호
  • /
  • Pages.49-53
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  • 2010
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  • 1598-2645(pISSN)
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  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
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Intelligent Mobile Agents in Personalized u-learning

  • Cho, Sung-Jin (Faculty of Computer and Information Communication Engineering Catholic University of Daegu) ;
  • Chung, Hwan-Mook (Faculty of Computer and Information Communication Engineering Catholic University of Daegu)
  • 투고 : 2009.11.30
  • 심사 : 2010.01.05
  • 발행 : 2010.03.25
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초록

e-learning and m-learning have some problems that data transmission frequently discontinuously, communication cost increases, the computation speed of mass data drops, battery limitation in the mobile learning environments. In this paper, we propose the PULIMS for u-learning systems. The proposed system intellectualize the education environment using intelligent mobile agent, supports the customized education service, and helps that learners feasible access to the education information through mobile phone. We can see the fact that the efficience of proposed method is outperformed that of the conventional methods. The PULIMS is new technology that can be used to learn whenever and wherever learners want in Ubiquitous education environment.

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참고문헌

  1. Kargupta, H., Park, B., Pittie, S., Liu, L., Kushraj, D. and Sarkar, K. “MobiMine: Monitoring the Stock Market from a PDA.” ACM SIGKDD Explorations. January. Vol. 3, Issue,. pp. 37-46, ACM Press. 2002. https://doi.org/10.1145/507515.507521
  2. Krishnaswamy, S., Loke, S, W., Zaslavsky, A., “Towards Anytime Anywhere Data Mining Services”, Proceedings of the Australasian Data Mining Workshop (ADM02), Held in conjunction with the 15th Australian Joint Conference on Artificial Intelligence (AI02), Canberra, Australia, 3rd December 2002.
  3. Kargupta H. “CAREER: Ubiquitous Distr ibuted Knowledge Discovery from Heterogeneous Data.” NSF Information and Data Management (IDM) Workshop, 2001.
  4. Blochl, M. Rumetshofer, H. and Wob, W. “Individualized E-Learning Systems Enabled by a Semantically Determined Adaptation of Learning Fragments,” Proceedings of 14th International Workshop on Database and Expert Systems Applications (DEXA’03). IEEE Computer Society. 2003.
  5. Atolagbe, T. “E-Learning: The use of Components Technologies and Artificial Intelligence for Management and Delivery of Instruction,” Proceedings of 24th International Conference. Information Technology Interfaces, June 24-27, Cavtat, Croatia, pp. 121-128, 2002.
  6. Vavoula, G., & Karagiannidis, C. “Designing mobile learning experiences.”, Institute of Educational Technology. 2000.
  7. Bae, Y. K., Lim, J. K., & Lee, T. W. “Mobile learning system using the ARCS strategies,” Proceedings of the 5th International Conference on Advanced Learning Technologies, Taiwan. 2005.
  8. Wooldridge, M.J.; Jennings, N.R, “Agent Theories, Architectures, and Languages: A Survey Intelligent Agents,” ECAI-94 Workshop on Agent Theories, Architectures, and Languages, Springer, pp. 1-39, 1994.
  9. Franklin, S.; Graesser, A.C. “Is it an Agent, or Just a Program?: A Taxonomy for Autonomous Agents, Intelligent Agents III, Agent Theories, Architectures, and Languages,” ECAI '96 Workshop (ATAL), Budapest, Hungary, August 12-13, pp. 21-35, 1996.