工学教育
Online ISSN : 1881-0764
Print ISSN : 1341-2167
ISSN-L : 1341-2167
解説
工学教育の改善に向けたラーニング・アナリティクスのすすめ
角田 和巳
著者情報
ジャーナル 認証あり

2023 年 71 巻 4 号 p. 4_40-4_44

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With the increase in online classes and our access to large amounts of learning and educational data, Learning Analytics (LA) has received much attention. LA is essential for student-centered education and can make a significant contribution to transforming the educational model. This paper describes the procedures and significance of LA and introduces classes on mechanical engineering using LA tools. In our class, we used the LEAF system consisting of BookRoll and LAView as the LA tool. By using the BookRoll to deliver explanations of pre-class assignments for a flipped classroom, we could analyze the learning activities in the LAView and monitor student understanding. Furthermore, we found a statistically significant difference in the time spent reading the material between the highest- and lowest-performing students.

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© 2023 公益社団法人 日本工学教育協会
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