Implementation of Online Teaching Behavior Analysis System
作者机构：College of Information EngineeringNanjing Xiaozhuang UniversityNanjing 211171China
出 版 物：《国际计算机前沿大会会议论文集》 (International Conference of Pioneering Computer Scientists, Engineers and Educators（ICPCSEE）)
年 卷 期：2021年第2期
页 面：399-409页
学科分类：0502[文学-外国语言文学] 050201[文学-英语语言文学] 05[文学]
基 金：This article is supported by the Key Project of Innovation Training of Jiangsu University Students’Innovation and Entrepreneurship Plan in 2020(Project Name:online teaching behavior analysis system based on deep learning,project number:202011460006Z) This article is supported by the National Natural Science Foundation of China Youth Science Foundation project(Project name:Research on Deep Discriminant Spares Representation Learning Method for Feature Extraction,No.61806098) This article is supported by Scientific Research Project of Nanjing Xiaozhuang University(Project name:Multi-robot collaborative system,No.2017NXY16)
主 题：Teaching evaluation Behavior analysis Deep learning Image processing Face recognition
摘 要：Online teaching is gradually spreading widely,but there are problems in online teaching evaluation,such as lack of reference index,students’learning state feedback being hard to get in *** improve online teaching quality and evaluation,a classroom behavior analysis and evaluation system based on deep learning face recognition technology is *** system conducts the model training and tests on the deep learning development framework(TensorFlow).It implements the frame image processing through the Mask R-CNN network,extracts the skeleton and the angle direction information to establish the vector,thus carries out the classroom behavior recognition and analysis,and serves as the appraisal important *** behavior analysis is made and the results show that the recognition rate is high and the learning situation feedback is given in real *** experiment shows that the system has certain robustness and high accuracy in the real *** is convenient for classroom teaching management and implementation,and is helpful to improve the teaching quality.
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