Presentation 2001/7/6
Development of the Adaptive Self-learning Support System via the Internet : A Sequencing method of learning materials
Kazuya SEKI, Tomoya SAITO, Toshio OKAMOTO,
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Abstract(in English) Recently, various kinds of teaching/learning support systems have been developed because of the wide spread of the network and the advanced information technology. And, there have been growing interest in e-Learning in the field of business, especially, staff education and so on. Under such a background, we have been developed the distance self-learning system. Evaluation of our system, suggested some problems about selecting adequate the learning materials and utilizing the learning histories. Then, in order to solve the problems above mentioned, we extend our system by introducing the Genetic Algorithms(GA) to create the sequence of the learning material data, which consider the curriculum information of the domain, the needs and histories of learner. In this paper, we describe the new method to decide the sequence of learning materials based on the GA.
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Keyword(in English) Self-learning / LOM / Genetic Algorithms / Sequencing methods
Paper # ET2001-25
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Committee ET
Conference Date 2001/7/6(1days)
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Registration To Educational Technology (ET)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Development of the Adaptive Self-learning Support System via the Internet : A Sequencing method of learning materials
Sub Title (in English)
Keyword(1) Self-learning
Keyword(2) LOM
Keyword(3) Genetic Algorithms
Keyword(4) Sequencing methods
1st Author's Name Kazuya SEKI
1st Author's Affiliation Graduate School of Information Systems, The University of Electro-Communications()
2nd Author's Name Tomoya SAITO
2nd Author's Affiliation Graduate School of Information Systems, The University of Electro-Communications
3rd Author's Name Toshio OKAMOTO
3rd Author's Affiliation Graduate School of Information Systems, The University of Electro-Communications
Date 2001/7/6
Paper # ET2001-25
Volume (vol) vol.101
Number (no) 180
Page pp.pp.-
#Pages 8
Date of Issue