基于微表情分析的在线学习评价模型与实证  

Online Learning Evaluation Model and Empirical Study Based on Microexpression Analysis

作　　者：孙建乔 丁涵宇 张功杰[1] SUN Jian-qiao;DING Han-yu;ZHANG Gong-jie(School of Smart Education,Jiangsu Normal University,Xuzhou 221116,China;School of Computer Science and Communication Engineering,Jiangsu University,Zhenjiang 212013,China)

机构地区：[1]江苏师范大学智慧教育学院,江苏徐州221116 [2]江苏大学计算机科学与通信工程学院,江苏镇江212013

出　　处：《嘉应学院学报》2023年第6期1-6,共6页Journal of Jiaying University

基　　金：江苏教育科学“十四五”规划课题(D/2021/01/112)。

摘　　要：针对在线学习缺乏面对面的交互体验,教师不容易掌控在线学生的学习状态这一问题,采用微表情分析的方法对在线学习实施评价,旨在为教师实际教学提供可参考的教学反馈.首先对教学内容进行组织和管理,接着选择在线教学中若干环节的学生表情图像,然后识别学生的表情特征,最后建立表情特征与学习状况之间的对应关系.为了论证所提方法的性能,将方法应用于实际在线教学,并与调查问卷采集到的学生学习情况相比较,初步表明采用所提方法的教学评价是可行的.Considering the lack of face-to-face interaction experience in online learning and the difficulty for teachers to control the learning status of online students,this paper adopts the method of micro-expression analysis to evaluate online learning,aiming to provide teachers with reference teaching feedback for practical teaching.First,this paper organizes and manages teaching content.Then select students'facial expression images in several links of online teaching.Further,identify students'facial expression features.Finally,establish a corresponding relationship between facial expression features and learning status.In order to demonstrate the performance of the proposed method,the method is applied to actual online teaching and compared with the student learning situation collected by the questionnaire survey.Preliminary results show that the teaching evaluation using the proposed method is feasible.

关 键 词：在线学习 微表情分析 在线学习评价 教学评价 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]