【作 者】：
徐晓青， 赵 蔚， 刘红霞
【关 键 词 】：
情绪分析模型； 元分析； 混合式学习； 自我报告法； 面部表情识别
【栏 目】：
网络教育
【中文摘要】：
情绪能够影响人们在学习和生活中的动机与状态，是影响学习效果的重要因素之一。已有研究表明，融合情绪分析的教学形式对教学效果有积极影响，本研究从元分析的角度对情绪分析相关文献进行研究，发现情绪自我报告法、情绪文本挖掘法等八种情绪分析方法在教学中均有应用。本研究对这八种方法进行对比分析，探索适用于混合式学习环境的情绪分析方法，提出一种以情绪自我报告、访谈、面部表情识别与情绪文本挖掘等四种方法为主的情绪分析模型，并分析其在混合式学习中的应用前景和发展趋势，以期对研究学习者情绪的教育工作者、学者有一定的借鉴意义。
【英文摘要】：
Emotion, which can affect people's motivation and status in study and life, is one of important factors influencing learning effect. Many studies have shown that the teaching mode with emotional analysis has a positive influence on teaching effect. This study, from the perspective of meta-analysis, studies the related literature of emotional analysis and finds that eight emotional analysis methods have been applied in teaching, including emotional self-report method and emotional text mining method. Based on the comparison and analysis of those eight methods, this study attempts to explore an emotional analysis method suitable for the blended learning environment, and finally proposes an emotional analysis model based on four methods: emotional self-report, interview, facial expression recognition and emotional text mining. Then this paper analyzes its application prospect and development trend in blended learning, so as to provide some reference for educators and scholars who study learners' emotion.