- 著者
-
長谷川 元洋
上野 顕子
新谷 洋介
清水 克博
- 出版者
- 日本消費者教育学会
- 雑誌
- 消費者教育 (ISSN:13451855)
- 巻号頁・発行日
- vol.41, pp.123-133, 2021 (Released:2021-10-27)
- 参考文献数
- 11
The purpose of this study was to develop a consumer education lesson which enables deep active learning in online classes. We constructed the lesson using a matrix for designing lessons to realize
“deep learning”, which was to ensure the lesson quality in online classes. In addition, information tools were selected and combined so that the students were able to do group work in the online classes. We used the text mining system to analyze and compare papers submitted by students
who attended in-person classes in 2019 to ones handed in by students who attended mainly online
classes for the same course in 2020. As a result, it was confirmed that deep active learning could be realized even in the online classes.