基于面部表情识别的课堂教学反馈系统  

Classroom Teaching Feedback System Based on Facial Expression Recognition

作　　者：潘仙张 陈坚 马仁利 PAN Xian-Zhang;CHEN Jian;MA Ren-Li(Information Technology Department,Taizhou College,Taizhou 317099,China)

机构地区：[1]台州学院信息技术中心,台州317099

出　　处：《计算机系统应用》2021年第10期102-108,共7页Computer Systems & Applications

基　　金：浙江省公益技术研究计划(LGF19F020009);2020年教育部产学合作协同育人项目。

摘　　要：教师在课堂上讲课时,学生对知识点的掌握程度都反应在他们的面部表情中,教师通常通过他们的表情判断出他们对知识点的理解程度,从而调整教学进度.但是课堂教学中一个班级至少有30多个学生,而教师在课堂中讲课不可能时时刻刻照顾到每个学生.这样造成了教师不能有效地了解每个学生对知识点的掌握程度,影响教学质量.为了解决这个问题,文章提出了基于面部表情识别的课堂教学反馈系统,它能分析课堂上每个学生的面部表情,从他们的表情中得出学生对知识点的掌握程度,从而帮助教师实时地了解每个学生在课堂上的学习效果,提高课堂教学质量.During classes, students’ mastery of knowledge points is reflected in their facial expressions. Teachers usually judge their degrees of understanding through the expressions and then adjust the teaching schedule. However, at least 30 students are in a class, and it is impossible for the teachers to take care of each student at all times in a classroom. As a result, teachers can not fully understand each student’s mastery of knowledge points, thus affecting the quality of teaching. To solve this problem, this study introduces a classroom teaching feedback system based on facial expression recognition, which can analyze the facial expression of each student in the classroom and demonstrate their mastery of knowledge points from the expressions. On that basis, it can help teachers understand the real-time learning effect of each student in the classroom, thereby improving teaching quality.

关 键 词：课堂教学效果反馈 面部表情识别 人工智能 深度学习 系统结构 

分 类 号：G434[文化科学—教育学] TP391.41[文化科学—教育技术学]