基于多维连续情感识别的在线学习风险预警OA
Online Learning Risk Early Warning Based on Multi-dimensional Continuous Emotion Recognition
在线教学的教师由于缺乏与学生的情感交互无法像传统面对面课堂那样及时预测学业成绩以提前进行干预.为此,建立基于情感分析的在线教学学业风险预测方法.首先,通过获取效价—唤醒度—控制性(Valence-Arousal-Dominance,VAD)多维情感参数来获得更全面精细的情感信息.其次,利用正交卷积神经网络进行多维情感参数识别.最后,选用多个经典回归模型进行学业成绩和学业风险预测实验,最终选出最适合预测学术风险的模型.实验结果表明,采用正交化卷积约…查看全部>>
Online teaching teachers are unable to predict academic performance in a timely manner and intervene in advance like traditional face-to-face classrooms due to a lack of emotional interaction with students.To this end,it establishes an online teaching academic risk prediction method based on sentiment analysis.Firstly,by obtaining the multidimensional emotional parameters of Valence-Arousal-Dominance(VAD),more comprehensive and detailed emotional information…查看全部>>
霍奕
北京联合大学师范学院,北京 100011
计算机与自动化
面部表情识别情感计算智能教学系统学业风险预警系统
facial expression recognitionAffective Computingintelligent teaching systemacademic risk early warning system
《现代信息科技》 2024 (11)
130-134,140,6
教育部人文社会科学研究项目(23YJE880001)
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