Presentation 2016-12-10
Evaluation of Teaching Based on Elo Ratings and Its Prediction
Toyoyuki Kano, Masateru Tsunoda,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In the university, student evaluation of teaching (SET) is widely applied. However, some students may evaluate all items (e.g., progress speed of lecture) as medium on SET. Also, when students do not satisfy the teaching at all, they may evaluate all items as worst. To avoid such evaluation bias, we apply pairwise comparison and Elo ratings, and make teaching ranking. In the experiment, subjects evaluated the teaching ranking based on Elo ratings. As a result, they highly evaluated the ranking based on average rank of Elo ratings and ten-scale evaluation. Also, we used collaborative filtering to predict the pairwise comparisons, and evaluated the prediction accuracy.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Pairwise comparison / collaborative filtering / student evaluation of teaching
Paper # ET2016-74
Date of Issue 2016-12-03 (ET)

Conference Information
Committee ET
Conference Date 2016/12/10(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Kindai University
Topics (in Japanese) (See Japanese page)
Topics (in English) Body Intelligence and Skill Education, etc.
Chair Yukihiro Matsubara(Hiroshima City Univ.)
Vice Chair Shoichi Nakamura(Fukushima Univ.)
Secretary Shoichi Nakamura(Yamaguchi Univ.)
Assistant Yuichiro Tateiwa(Nagoya Inst. of Tech.) / Yuuki Nakayama(Fukushima Univ.)

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) Evaluation of Teaching Based on Elo Ratings and Its Prediction
Sub Title (in English)
Keyword(1) Pairwise comparison
Keyword(2) collaborative filtering
Keyword(3) student evaluation of teaching
1st Author's Name Toyoyuki Kano
1st Author's Affiliation Kindai University(Kindai Univ.)
2nd Author's Name Masateru Tsunoda
2nd Author's Affiliation Kindai University(Kindai Univ.)
Date 2016-12-10
Paper # ET2016-74
Volume (vol) vol.116
Number (no) ET-351
Page pp.pp.45-50(ET),
#Pages 6
Date of Issue 2016-12-03 (ET)