远程教育杂志2025，Vol.43Issue(2)：74-84,11.DOI:10.15881/j.cnki.cn33-1304/g4.2025.02.008
在线协作知识建构情境下多智能体促进观点涌现的机制研究
A Study of the Mechanisms Underlying Multi-Agent Facilitation of Idea Emergence in Online Collaborative Knowledge Building
摘要
Abstract
Online collaborative knowledge building(OCKB),as a form of social learning,is fundamentally driven by the emergence of ideas,which facilitates deep interaction and meaningful knowledge construction among learners.However,the quality and depth of idea emergence do not occur spontaneously;rather,they are influenced by multiple factors,including learners'prior knowledge,collaboration intensity,task complexity,and the technology-enhanced learning environment.Multi-agent systems based on large language models(LLM-MA)have demonstrated significant potential in enhancing idea emergence through real-time guidance and feedback.Existing research on LLM-MA has primarily focused on static outcome analyses,with limited attention to the dynamic processes underlying idea generation and its quality improvement.Therefore,guided by the Interaction Analysis Model of Social Knowledge Construction,this study adopts a five-phase collaborative framework,which includes information sharing,conflict identification,meaning negotiation,knowledge construction,and reflective application.By integrating process mining and content analysis,the study systematically examines the effects of LLM-MA on idea emergence within OCKB contexts.The findings indicate that LLM-MA not only optimizes the structure and efficiency of idea emergence but also significantly enhances the depth and clarity of learners'ideas.In contrast,traditional collaborative approaches appear to foster greater breadth in idea emergence,characterized by stronger exploratory and creative potential.Based on these findings,the study proposes recommendations concerning teacher facilitation,technological development,and learners'social engagement.These suggestions aim to provide more intelligent support for enhancing idea emergence in OCKB,promote the meaningful integration of large language models into educational practice,and improve both collaborative effectiveness and the quality of knowledge construction.关键词
在线协作知识建构/大语言模型/多智能体/观点涌现Key words
Online collaborative knowledge building/Large language model/Multi-agent systems/Idea emergence分类
社会科学引用本文复制引用
朱珂,卞茗慧,张瑾..在线协作知识建构情境下多智能体促进观点涌现的机制研究[J].远程教育杂志,2025,43(2):74-84,11.基金项目
本文系2024年河南省教育科学规划重大课题"河南推进教育数字化战略的模式与路径研究"(项目编号:2025JKZB06)的研究成果. （项目编号:2025JKZB06）
