Presentation 2013-03-29
A study on the relationship between page transition and understanding for contents
Eiji WATANABE, Takashi OZEKI, Takeshi KOHAMA,
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Abstract(in English) In this report, we consider a learning environment, which students solve the problem while reading contents. Here, we analyze the relationship between the frequency for reading each page and the understanding for contents. The above relationship can be modeled by neural networks. Furthermore, we use a learning method with forgetting for neural networks for the purpose of extraction of rules. Finally, we have analyzed the relationship between the frequency for each page and the understanding for contents by using the internal representations of multi-layered neural networks.
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Keyword(in English) e-Learning / Student / Page transition / Underst anding / Neural networks
Paper # ET2012-89
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Committee ET
Conference Date 2013/3/22(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) A study on the relationship between page transition and understanding for contents
Sub Title (in English)
Keyword(1) e-Learning
Keyword(2) Student
Keyword(3) Page transition
Keyword(4) Underst anding
Keyword(5) Neural networks
1st Author's Name Eiji WATANABE
1st Author's Affiliation Faculty of Intelligence and Informatics, Konan University()
2nd Author's Name Takashi OZEKI
2nd Author's Affiliation Faculty of Engineering, Fukuyama University
3rd Author's Name Takeshi KOHAMA
3rd Author's Affiliation School of Biology-Oriented Science and Technology, Kinki University
Date 2013-03-29
Paper # ET2012-89
Volume (vol) vol.112
Number (no) 500
Page pp.pp.-
#Pages 6
Date of Issue