Presentation 2011-12-08
Study on a Method of Estimating Learners' Subjective Impressions of the Difficulty By Their Learning Actions for e-Learning on Demand
Takaaki OHKAWAUCHI, Jun OHYA, Shunichi YONEMURA, Yukio TOKUNAGA,
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Abstract(in English) This paper reports a fundamental study of how to recognize learners' subjective difficulties essential to improving on-demand type e-learning systems' lectures. On-demand type e-learning systems require recognition methods different from synchronous type lectures. Specifically, leaners' temporal behaviors such as rewinding and pause of the tape might reflect learners' subjective difficulties. We conducted an experiment for several learners to obtain data of their learning temporal behaviors, and then we interviewed the learners. As a result, we confirmed that the number of rewind and the time length of pause are closely related to their subjective difficulties in the lecture.
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Keyword(in English) e-learning / Subjective Impressions of the Difficulty / Faculty Development / Learning Behavior
Paper # ET2011-78
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Committee ET
Conference Date 2011/12/1(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) Study on a Method of Estimating Learners' Subjective Impressions of the Difficulty By Their Learning Actions for e-Learning on Demand
Sub Title (in English)
Keyword(1) e-learning
Keyword(2) Subjective Impressions of the Difficulty
Keyword(3) Faculty Development
Keyword(4) Learning Behavior
1st Author's Name Takaaki OHKAWAUCHI
1st Author's Affiliation Waseda University, Graduate School of Accountacy()
2nd Author's Name Jun OHYA
2nd Author's Affiliation Waseda University, Graduate School of Global Information and Telecommunication Studies
3rd Author's Name Shunichi YONEMURA
3rd Author's Affiliation NTT:Waseda University, Global Information and Telecommunication Institute
4th Author's Name Yukio TOKUNAGA
4th Author's Affiliation Shibaura Institute of Technology, Department of Information Science & Engineering
Date 2011-12-08
Paper # ET2011-78
Volume (vol) vol.111
Number (no) 332
Page pp.pp.-
#Pages 6
Date of Issue