【作 者】：
王小根， 陈瑶瑶
【关 键 词 】：
多模态数据； 情感计算； 混合协作学习； 情感投入
【栏 目】：
网络教育
【中文摘要】：
情感投入在混合协作学习中发挥重要作用，厘清其作用机制是当前亟待解决的问题。混合协作学习场景下多模态情感计算技术的支持为更加精准地分析学习者情感投入提供了可能。文章从情感数据的多模态融合、情感发生的情境解释、情感状态的动态变化、情感发展的层级建构和情感反馈的调节干预五个层面构建了混合协作学习者情感投入的研究框架，并从改善混合协作学习过程和探索混合协作学习规律出发，阐述了混合协作学习者情感投入的分析路径。一方面，融合多模态数据，输出可视化的情感状态识别结果；根据环境、认知、行为、动机及任务等因素，进行情感归因；预防情感危机，采取反馈与调节措施。另一方面，探索情感投入与人际互动、学习资源、认知发展的关系，以期揭示混合协作学习的内在规律。
【英文摘要】：
Emotional engagement plays an important role in blended collaborative learning, and clarifying its mechanisms is a pressing issue. The support of multimodal affective computing technology in blended collaborative learning scenarios provides the possibility to analyze learners' emotional engagement more accurately. This paper constructs a research framework of the emotional engagement for blended collaborative learners from five aspects: the multimodal fusion of emotional data, the situational interpretation of emotional occurrence, the dynamic changes of emotional states, the hierarchical construction of emotional development and the regulatory intervention of emotional feedback. The study also explores the pathways to analyze the emotional engagement of blended collaborative learners from the perspective of improving the process and exploring the laws of blended collaborative learning. On the one hand, multimodal data are fused to output a visual recognition results of emotional state; emotional attribution is carried out according to the factors such as environment, cognition, behavior, motivation and task; emotional crises are prevented, and feedback and adjustment measures are taken. On the other hand, the relationship between emotional engagement and interpersonal interaction, learning resources and cognitive development is explored, in order to reveal the internal laws of blended cooperative learning.