Journal of Information Processing
Online ISSN : 1882-6652
ISSN-L : 1882-6652
 
Text-mining Analysis of What Students Think About e-learning and Face-to-face Classes during COVID-19
Minae NishimotoKeiji Emi
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JOURNAL FREE ACCESS

2024 Volume 32 Pages 122-126

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Abstract

We have analyzed what students think about e-learning and face-to-face classes during COVID-19 by using text-mining. In the spring semester of 2020 instructors and students experienced for the first time class tuition that was not face-to-face but e-learning. These students showed significantly different features compared to students in other semesters.

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© 2024 by the Information Processing Society of Japan
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