Study on Online Education Students' Attention based on Multi-source Data in COVID-19

ABSTRACT

With the frequent occurrence of COVID-19 virus, online learning is currently the response of most educational institutions. However, in online learning, teachers do not have enough grasp of students' learning status, so how to assess student concentration in online learning is of great significance. In order to reduce the interference of classroom teaching, this paper adopt a non-contact observation method to analyze and evaluate the students' facial features. Considering that student concentration is a fuzzy variable, a reasonable weight of each factor is constructed in combination with the analytic hierarchy method, and a framework for identifying the concentration of online learning that integrates multi-source data is proposed. Finally, the effect of concentration assessment was verified by experiments. © 2022 IEEE.