基于语言情绪识别的学生评教系统研究  

Research on student assessment system based on language emotion recognition

作　　者：高承彬 熊正凯 张铁汉 武羚子 于雪 GAO Chengbin;XIONG Zhengkai;ZHANG Tiehan;WU Lingzi;YU Xue(Cangzhou Technical College,Cangzhou,Hebei 061000,China;Hebei University of Water Resources and Electric Engineering,Cangzhou,Hebei 061000,China)

机构地区：[1]沧州职业技术学院,河北沧州061000 [2]河北水利电力学院,河北沧州061000

出　　处：《计算机应用文摘》2025年第9期139-141,共3页

基　　金：2024年沧州市职业教育研究规划立项课题(CZZJ2024091);2024年度河北省应用技术大学研究会课题(JY2024141)。

摘　　要：学生评教是反映高校课堂教学效果的重要途径,教师得分的有效性(即分数质量)受到教师、学生和教学督导人员的高度重视。文章在分析学生评教分数隐性规律的基础上,结合对学生评语的深度采集与分析,构建了语言情绪识别知识库,并利用人工神经网络算法对评语情绪进行判别,从而实现教师评分与学生评语的有效加权。以河北水利电力学院和沧州职业技术学院的学生网评数据为实验数据,验证了该方案的有效性。Student evaluation is an important way to reflect the effectiveness of classroom teaching in universities,and the effectiveness of teacher scores(i.e.score quality)is highly valued by teachers,students,and teaching supervisors.On the basis of analyzing the implicit rules of student evaluation scores,combined with in-depth collection and analysis of student comments,this article constructs a language emotion recognition knowledge base,and uses artificial neural network algorithms to distinguish the emotions of comments,thereby achieving effective weighting of teacher ratings and student comments.The effectiveness of the proposed scheme was verified using online student evaluation data from Hebei University of Water Resources and Electric Engineering and Cangzhou Technical College as experimental data.

关 键 词：学生评教 分数质量 知识库 人工神经网络算法 语言情绪识别 

分 类 号：G645[文化科学—高等教育学]