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Title

Study on the comprehension process of university students using time-series analysis

Author

Ayako OHSHIRO

Citation

Vol. 21  No. 8  pp. 177-181

Abstract

With the recent advances in information and communication technology, online management of students’ learning data has become the norm. Research on learning analysis that predicts the near future (in a few years) of students’ careers using machine learning methods and state transition models has been widely conducted. It is important for educators to evaluate the comprehension stability of students to prevent a decrease in their comprehension rate and dropouts in the class. In this study, we measured the comprehension process of university students in different types of lectures. Herein, we report on the results of data analysis using time series and data statistics, and consider several educational approaches.

Keywords

Time series, Data analysis, learning process

URL

http://paper.ijcsns.org/07_book/202108/20210823.pdf