远程教育杂志2025，Vol.43Issue(5)：41-54,14.DOI:10.15881/j.cnki.cn33-1304/g4.2025.05.005
多智能体支持论证式协作知识建构:ABCKC-AI系统设计与准实验评估
Multi-Agent Support for Argumentation-Based Collaborative Knowledge Construction:Design and Quasi-Experimental Evaluation of the ABCKC-AI System
摘要
Abstract
Argumentation-based collaborative knowledge construction(ABCKC)is an important mode of collaborative knowl-edge construction that promotes students' knowledge innovation,acquisition of argumentation skills,and development of higher-order thinking.However,ABCKC often fails to reach its full potential due to students' lack of argumentation skills,ineffective collaboration,and the avoidance of cognitive conflict.While prior interventions,such as teaching scripts,collaborative scaffolds,and conversational agents,have sought to address these issues,they often inhibit natural interaction,lack flexibility,and are ill-suited to complex educa-tional settings.Multi-agent technologies powered by large language models(LLMs)offer a promising solution by enabling natural in-teraction,real-time analysis,and complex semantic understanding.Accordingly,this study designed ABCKC-AI,an LLM-based mul-ti-agent system that provides adaptive,dynamic support across four key dimensions of ABCKC process,including participation,argu-mentation,cognition as well as social co-construction,and conducted an experiment to evaluate its effectiveness.Results indicate that ABCKC-AI significantly improved learners' argumentation skills and the quality of collaborative products,broadened the scope and depth of discussion,strengthened argumentation structures,and deepened levels of knowledge construction.Learners also rated the system highly for usability and usefulness.Finally,the paper discusses the mechanisms through which ABCKC-AI shapes ABCKC process,the pedagogical implications,and directions for future research.It contributes to the field of LLM-supported collaborative knowledge construction by offering innovative insights,a technical framework,and empirical evidence.关键词
人工智能教育/生成式人工智能/多智能体/论证式协作知识建构/协作知识建构/大语言模型Key words
Artificial intelligence in education/Generative artificial intelligence/Multi-agent system/Argumentation-based collaborative knowledge construction/Collaborative knowledge construction/Large language models分类
社会科学引用本文复制引用
欧阳璠,付宏杰..多智能体支持论证式协作知识建构:ABCKC-AI系统设计与准实验评估[J].远程教育杂志,2025,43(5):41-54,14.基金项目
本文系2022年国家自然科学基金面上项目"在线协作学习中群体认知发展机制研究:计算建模、分析反馈及教学干预"(项目编号:62177041)的研究成果. （项目编号:62177041）
