Presentation 2016-11-18
Class improvement recommendation system utilizing hierarchical item bank
Shuya Nakamura, Takatoshi Ishii, Susumu Fujimori, Takako Akakura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) Results of class evaluation questionnaire reported to teachers are usually only a simple totaling of abstract items, which are difficult to be used for actual class improvement. It is desirable for Faculty Development to provide teachers with specific plans and methods for the class improvement, based on the results of class evaluation. For this purpose, we have built a hierarchical item bank so far to derive specific items from the abstract items. In this paper, we report the development of the class improvement support system utilizing the hierarchical item bank, by which priority and specific methods of the class improvement can be recommended.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Higher education / FD / Class evaluation questionnaire / Development of system / Bayesian network
Paper # ET2016-59
Date of Issue 2016-11-11 (ET)

Conference Information
Committee ET
Conference Date 2016/11/18(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Plaza Verde
Topics (in Japanese) (See Japanese page)
Topics (in English) Sessions for Young Researchers (Young Researcher Awards Selection)
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) Class improvement recommendation system utilizing hierarchical item bank
Sub Title (in English)
Keyword(1) Higher education
Keyword(2) FD
Keyword(3) Class evaluation questionnaire
Keyword(4) Development of system
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 Susumu Fujimori
3rd Author's Affiliation Tokyo University of Science(TUS)
4th Author's Name Takako Akakura
4th Author's Affiliation Tokyo University of Science(TUS)
Date 2016-11-18
Paper # ET2016-59
Volume (vol) vol.116
Number (no) ET-314
Page pp.pp.23-28(ET),
#Pages 6
Date of Issue 2016-11-11 (ET)