远程教育杂志2024，Vol.42Issue(3)：79-92,14.DOI:10.15881/j.cnki.cn33-1304/g4.2024.03.009
共享调节中的群体情感感知工具开发与应用
Tool Development and Application of Group Emotion Awareness in Shared Regulation:Based on Large Language Model Technology Framework
摘要
Abstract
Increasing research indicates that in CSCL(Computer-Supported Collaborative Learning),group awareness of emo-tions contributes to learners'understanding of their emotional tendencies and the team's collaborative atmosphere.This understanding enables timely regulation of individual and group emotional states,collaborative behaviors,goals,and motivations.Grounded in the theory of shared regulation,this study integrates emotional awareness throughout the CSCL process by designing and developing the group emotional awareness tool,SenGAware,to enhance emotion awareness in CSCL.The tool utilizes the natural language generation and contextual understanding capabilities of Large Language Models(LLMs)to mine and assess emotional information.It provides three modes of perception:emotional tendencies,emotional states,and emotional transitions,generating AI emotion reports for learners and teams,along with emotional Q&A interactions.It can more accurately understand and reflect the emotional state of the group,pro-viding real-time monitoring and dynamic display of emotions.The research focused on pre-service teachers in a master's course titled"Teaching Skills Training and Case Analysis"at a university in Shanghai,demonstrating how the tool embeds shared regulatory col-laborative activities for visualized emotional awareness.It evaluates the tool from multiple dimensions,including shared regulation level,quality of emotional interaction,and overall social network.This study enhances internal emotion awareness in CSCL,improves group collaboration capabilities,and offers new perspectives for researchers or teachers to explore learner emotional changes and group emotional consistency during collaboration.The tool also serves as applications for practice and study cases for LLM-based teaching.关键词
群体情感感知工具/CSCL共享调节/大语言模型/SenGAwareKey words
Group Emotion Awareness Tool/CSCL Shared Regulation/Large Language Model/SenGAware分类
社会科学引用本文复制引用
陈佳雯,褚乐阳,潘香霖,陈向东..共享调节中的群体情感感知工具开发与应用[J].远程教育杂志,2024,42(3):79-92,14.基金项目
本文系教育部人文社会科学研究一般项目"智能群体感知理论与实践——共享调节视角"(项目编号:22YJC880006)的研究成果. （项目编号:22YJC880006）
