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Conference Papers Year : 2020

Text Data Analysis on Answers Written in Japanese to Free Text Questions Obtained at Astronomy Lectures

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Abstract

Questionnaires were completed at the astronomy lectures “AstroTalk”, to improve promotion of “AstroTalks”, by identifying satisfaction of participants, based on statistical analysis of answers. Textual data analysis was performed using KH Coder on answers of free text questions written in Japanese. In this paper, we show results of the analysis of the questions: “What were the impressive things in our lecture?” and “What topics of astronomy are you interested in?” Strong connections among words and terms related to topics of “AstroTalks” are shown in co-occurrence network diagrams of the answers to the these questions. We adopted topics in “AstroTalks” based on results, to improve lecture design. In addition, we are developing an active learning system with an electronic blackboard, connecting lectures and participants through the Internet to reduce regional disparities in educational opportunities in astronomy.
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hal-03519209 , version 1 (10-01-2022)

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Attribution - CC BY 4.0

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Seiichiro Aoki, Kazushi Sakka, Keiji Emi, Shinzo Kobayashi, Toshio Okamoto. Text Data Analysis on Answers Written in Japanese to Free Text Questions Obtained at Astronomy Lectures. Open Conference on Computers in Education (OCCE), Jan 2020, Mumbai, India. pp.139-143, ⟨10.1007/978-3-030-59847-1_15⟩. ⟨hal-03519209⟩
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