Evaluation of Classroom Teaching Effect Based on Facial Expression Recognition

  • Jun Mao School of Information Science and Engineering, Jiaxing University, Jiaxing 314001, China
Keywords: Facial expression, Expression recognition, Classroom teaching, Effect evaluation

Abstract

Classroom is an important environment for communication in teaching events. Therefore, both school and society should pay more attention to it. However, in the traditional teaching classroom, there is actually a relatively lack of communication and exchanges. Facial expression recognition is a branch of facial recognition technology with high precision. Even in large teaching scenes, it can capture the changes of students’ facial expressions and analyze their concentration accurately. This paper expounds the concept of this technology, and studies the evaluation of classroom teaching effects based on facial expression recognition.

Author Biography

Jun Mao, School of Information Science and Engineering, Jiaxing University, Jiaxing 314001, China

Classroom is an important occasion and environment for communication in teaching events. Therefore, not only does the school pay more and more attention to it, but also society does. However, in the traditional teaching classroom, there is actually a relatively lack of communication and exchanges. Facial expression recognition is a branch of face recognition technology which lies in high precision. Even in large teaching scenes, it can capture the changes of students' facial expressions and analyze their concentration accurately. This paper first expounds the concept of this technology, then studies the evaluation of classroom teaching effects based on facial expression recognition.

References

Liao E, Li W, Cai X, 2020, Research on Big Data Analysis and Teaching Decision of Visual Behavior Recognition. Engineering and Technological Research, 5(12): 233-235.

Chen Z, Zhu X, 2019, Automatic Recognition of Learners’ Emotions Based on Facial Expressions: Relevance, Status, Existing Problems and Improvement Path. Journal of Distance Education, 37(04): 64-72.

Chen S, Dai J, Gao X, et al., 2019, Research on Dynamic Emotion Recognition of Students in Classroom Teaching. The Chinese Journal of ICT in Education, 2019(13): 33-36.

He X, Gao Q, Li Y, et al., 2019, Research on Spontaneous Learning Facial Expression Recognition Based on Deep Learning Model. Computer Applications and Software, 36 (03): 180-186.

Published
2021-12-23