Abstract
Recently, the advent of Internet introduced E-learning, although there are still many practical problems to be solved. This paper presents an educational software framework based on the information technologies called MOLEAS (MOdular Learning Engines with Active Search). The software framework is modularized with standardized interface based on IEEE 1484 LTSA (Learning Technology Standard Architecture) so that the user can reuse other users’ modules to save time and effort. Using peer-to-peer technology, a user can search other users with same educational interests over Internet.
This work was supported by the Soongsil University Research Fund
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References
Korea National Computerization Agency: Korea Internet White Paper (2002), http://www.nca.or.kr/main/notice/2002_11/2002whitepaper.pdf
Shoham, Y.: Agent-Oriented Programming. Artificial Intelligence 1, 51–92 (1993)
Sleeman, D., Brown, J.S.: Intelligent Tutoring System. Academic Press, London (1982)
Wooldridge, M., Jennings, N.R.: Intelligent Agent: Theory and Practice. The Knowledge Engineering Review 2, 115–152 (1995)
Awduche, D.O., Agogbua, J., McManus, J.: An Approach to Optimal Peering between Autonomous Systems in the Internet. In: International Conference on Computer Communications and Networks, pp. 346–351 (1998)
ISO/IEC JTC1/SC29/WG1 15938: Multimedia Content Description Interface, http://www.cselt.it/mpeg/standards/mpeg-7/mpeg-7.zip
IEEE 1484.1 Standard for Learning Technology - Learning Technology System Architecture, http://ltsc.ieee.org/wg1/files/IEEE_1484_01_D09_LTSA.pdf
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© 2005 Springer-Verlag Berlin Heidelberg
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Cho, SJ., Lee, S. (2005). MOLEAS: Information Technology-Based Educational Software Framework. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_93
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DOI: https://doi.org/10.1007/11552451_93
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28895-4
Online ISBN: 978-3-540-31986-3
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