Presentation 2018-11-10
A study on selection method to adaptive question items of class evaluations based on topics of course contents
Shuya Nakamura, Takako Akakura,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) This aim of this study is to develop the selection method to adaptive question items based on topic of course contents. For this, we apply to the method of text mining for the syllabi and class evaluation item queries. In order to extract topic of course contents, we construct a topic estimation model using LDA(latent Dirichlet allocation) based on syllabi and estimate topics of class evaluation queries. By applying the constructed model to a class evaluation queries, to extract “the topic of class evaluation queries based on the course content”. To calculate degree of similarity between the topic of syllabi and class evaluation queries might permit to adaptive class evaluation questions based on course contents. In this paper, we discuss simulation results using actual data with syllabi of national universities engineering departments.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) LDA / Class evaluation questionnaire / Syllabus
Paper # ET2018-56
Date of Issue 2018-11-03 (ET)

Conference Information
Committee ET
Conference Date 2018/11/10(1days)
Place (in Japanese) (See Japanese page)
Place (in English) Tokyo Polytechnic University
Topics (in Japanese) (See Japanese page)
Topics (in English) Sessions for Young Researchers (Young Researcher Awards Selection), etc.
Chair Yozo Miyadera(Tokyo Gakugei Univ.)
Vice Chair Ryo Takaoka(Yamaguchi Univ.)
Secretary Ryo Takaoka(Open Univ. of Japan)
Assistant Megumi Kurayama(National Inst. of Tech., Hakodate College) / Masaru Okamoto(Hiroshima City 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 study on selection method to adaptive question items of class evaluations based on topics of course contents
Sub Title (in English)
Keyword(1) LDA
Keyword(2) Class evaluation questionnaire
Keyword(3) Syllabus
1st Author's Name Shuya Nakamura
1st Author's Affiliation Tokyo University of Science(TUS)
2nd Author's Name Takako Akakura
2nd Author's Affiliation Tokyo University of Science(TUS)
Date 2018-11-10
Paper # ET2018-56
Volume (vol) vol.118
Number (no) ET-294
Page pp.pp.19-22(ET),
#Pages 4
Date of Issue 2018-11-03 (ET)