Presentation 2022-11-05
Adaptive Prediction of Learners' Responses Considering Question Texts
Yo Ehara,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper proposes a method for response prediction adaptive to learners which considers the texts of questions.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) BERT / Transfer Learning / Response Prediction
Paper # ET2022-37
Date of Issue 2022-10-29 (ET)

Conference Information
Committee ET
Conference Date 2022/11/5(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Online
Topics (in Japanese) (See Japanese page)
Topics (in English) Sessions for Young Researchers (Young Researcher Awards Selection), etc.
Chair Kenji Watanabe(Hiroshimai Univ.)
Vice Chair Hisayoshi Kunimune(Chiba Inst. of Tech.)
Secretary Hisayoshi Kunimune(Mejiro Univ.)
Assistant Kazuaki Yoshihara(Kinki Univ.) / Toru Kano(Tokyo University of Science)

Paper Information
Registration To Technical Committee on Educational Technology
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Adaptive Prediction of Learners' Responses Considering Question Texts
Sub Title (in English)
Keyword(1) BERT
Keyword(2) Transfer Learning
Keyword(3) Response Prediction
1st Author's Name Yo Ehara
1st Author's Affiliation Tokyo Gakugei University(TGU)
Date 2022-11-05
Paper # ET2022-37
Volume (vol) vol.122
Number (no) ET-241
Page pp.pp.39-46(ET),
#Pages 8
Date of Issue 2022-10-29 (ET)