Presentation 2017-05-27
A method for adaptive questions using sequential class evaluations
Shuya Nakamura, Takatoshi Ishii, Takako Akakura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This paper discusses a method for adaptively selecting question items for a course evaluation questionnaire. We have been proposed a hierarchical item bank. This item bank is a model that describes the relations among course evaluation items using a Bayesian network. It can estimate responses to many questions from responses to only a few questions. In this paper, we assume that items are used in each lesson. Focusing on the change in the estimation result, we discuss the selection method and the estimation method of the question items. We examined the selection method and the estimation method with high estimation accuracy by simulation.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Higher education / FD / Class evaluation questionnaire / Adaptive question / Bayesian network
Paper # ET2017-11
Date of Issue 2017-05-20 (ET)

Conference Information
Committee ET
Conference Date 2017/5/27(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Soka Univ.
Topics (in Japanese) (See Japanese page)
Topics (in English) Collaborative Support, 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) A method for adaptive questions using sequential class evaluations
Sub Title (in English)
Keyword(1) Higher education
Keyword(2) FD
Keyword(3) Class evaluation questionnaire
Keyword(4) Adaptive question
Keyword(5) Bayesian network
1st Author's Name Shuya Nakamura
1st Author's Affiliation Tokyo University of Science(TUS)
2nd Author's Name Takatoshi Ishii
2nd Author's Affiliation Tokyo University of Science(TUS)
3rd Author's Name Takako Akakura
3rd Author's Affiliation Tokyo University of Science(TUS)
Date 2017-05-27
Paper # ET2017-11
Volume (vol) vol.117
Number (no) ET-65
Page pp.pp.55-58(ET),
#Pages 4
Date of Issue 2017-05-20 (ET)