远程教育杂志2026，Vol.44Issue(3)：48-58,11.DOI:10.15881/j.cnki.cn33-1304/g4.2026.03.006
认知—情感—社会:多智能体支持复杂问题解决学习的实践理路与发展路向
Cognitive-Affective-Social:Practical Pathways and Future Directions of Multi-Agent-Supported Complex Problem-Solving Learning
摘要
Abstract
Complex problem-solving learning is an important approach to shifting education from knowledge transmission to competency development,while multi-agent systems provide new possibilities for understanding and facilitating such learning.Focus-ing on how multi-agent systems support complex problem-solving learning,this study first analyzes the connotation of complex prob-lem-solving learning based on relevant theoretical frameworks,clarifies its differences from project-based learning and inquiry-based learning,and deconstructs its internal processes from cognitive,affective,and social dimensions.It then systematically reviews current practices of multi-agent-supported complex problem-solving learning and examines the learning support provided by multi-agent sys-tems in cognitive,affective,and social aspects,as well as the limitations of existing research.Based on that,this study explains the functional roles and practical pathways of multi-agent systems in supporting complex problem-solving learning from auxiliary tools,resource environments,and participating agents,.Specifically,multi-agent systems can serve as assistants that provide cognitive scaf-folding to guide deep learning,as experts that enable human-machine collaborative affective awareness and regulation,and as learn-ing partners that promote human-machine cognitive sharing and social collaboration.Finally,this study analyzes the challenges posed by multi-agent systems in terms of deep cognitive influence,human-machine affective connection,and social learning structures.It further proposes future directions for multi-agent-supported complex problem-solving learning,with the aim of advancing research on the mechanisms of human-machine collaboration.This study seeks to develop a theoretical framework for multi-agent-supported complex problem-solving learning,clarify its practical pathways and future directions,and provide insights for building new forms of human-machine collaborative personalized learning in the process of digitalization of education.关键词
复杂问题解决学习/人工智能/多智能体/认知与情感/人机协同Key words
Complex problem-solving learning/Artificial intelligence/Multi-agent systems/Cognition and affect/Human-ma-chine collaboration分类
社会科学引用本文复制引用
郝祥军,顾小清..认知—情感—社会:多智能体支持复杂问题解决学习的实践理路与发展路向[J].远程教育杂志,2026,44(3):48-58,11.基金项目
国家社会科学基金2025年度教育学青年项目"多智能体支持复杂问题解决学习的协同作用机制研究"(项目编号:CCA250275). （项目编号:CCA250275）
