基于情绪识别的课堂氛围评价系统设计与实现

Design and Implementation of Classroom Teaching Atmosphere Evaluation System Based on Emotion Recognition

良好的课堂教学氛围有利于教学效果的提升,也是教学质量评价的重要依据。为了实时获取课堂教学氛围,结合情绪识别和深度学习的相关研究成果,设计实现了一种实时课堂氛围评估系统。通过对教学过程中学生学习状态的实时采集、处理及分析,获取全体学生的学习状态,通过加权计算,生成课堂教学氛围综合评分,并反馈给授课教师,从而促进教师及时调整教学策略,达到更理想的教学效果,并为教学质量评价提供客观的数据支撑。

Excellent classroom teaching atmosphere facilitates the improvement of the effect of teaching,and is also an important reference for teaching quality evaluation.In order to obtain the classroom teaching atmosphere in time,a real-time classroom teaching atmosphere assessment system is designed and implemented in combination with the relevant research results of emotion recognition and deep learning.Through the real-time collection,processing and analysis of the learning status in the teaching process,the learning status of all students can be obtained,and comprehensive scoreof classroom teaching atmosphere will be generated by weighted calculation.The results classroom teaching atmosphere will be feedback to the instructor in time,so as to promote teacher adjust teaching strategies,achieve more ideal teaching effects,and provide objective data support for teaching quality evaluation.