Research on Sentiment Analysis and Satisfaction Evaluation of Online Teaching in Universities During Epidemic Prevention.

Jing Zhang

doi:10.3389/fpsyg.2021.738776

Abstract

Sentiment analysis of online and offline integrated teaching in universities is being paid more and more attention. Many universities have carried out online teaching activities. However, due to the lack of face-to-face teaching, the lack of emotional communication is the key problem affecting the quality of online teaching. We analyze the relations from the perspectives of the change of teaching mode, the reconstruction of teacher-student relationship, and the transmission of emotional attitude of teachers and students in this paper. Then based on the Bayesian network (BN) theory, the satisfaction of online teaching can be evaluated from the aspects of emotion analysis, learning investment, and teaching interaction. Further, some suggestions are put forward to improve the satisfaction of online teaching.

Highlights

In 2020, the COVID-19 epidemic hit the world. It affected the normal life of people everywhere and changed the teaching mode of traditional higher education seriously
Online teaching is the main way for students to study independently during the epidemic period
Because teachers teach across the screen, students can’t directly feel the presence of teachers

Summary

INTRODUCTION

In 2020, the COVID-19 epidemic hit the world. It affected the normal life of people everywhere and changed the teaching mode of traditional higher education seriously. This mode leads to a lack of good emotional communication with teachers, which reduces the investment and participation of students This has a great impact on the online teaching. Online teaching satisfaction is evaluated from the aspects of emotion analysis, learning investment, and teaching interaction. Online teaching satisfaction is closely related to students’ learning ability, teachers’ comprehensive quality, the network environment and hardware equipment, etc. The learning environments in students’ homes are not as good as in school, and their psychologies are affected by the epidemic, so their learning status is negatively affected Their satisfaction with online teaching is affected by these problems. Horizontal analysis shows that students’ satisfaction with the online learning environment, learning state, and self-planning are low These influencing factors all directly affect students’ knowledge mastery, so most students’ knowledge mastery is not high. The calculation formula for the prior probability di of the ith basiclevel index is shown in Equation 2: Learning quality A

A32 Timeliness B11

Findings

ETHICS STATEMENT