远程教育杂志2026，Vol.44Issue(5)：79-91,13.DOI:10.15881/j.cnki.cn33-1304/g4.2026.05.009
角色化多智能体支持议题式学习的模式构建与效果检验
Construction and Effect Test of a Role-Based Multi-Agent Supported Issue-Based Learning Model—A Quasi-Experimental Study Based on the Primary School"Morality and the Rule of Law"Curriculum
摘要
Abstract
In an era of value pluralism,cultivating future citizens with sound personality and a sense of responsibility has be-come an important mission of education.Issue-based learning adopts authentic dilemmatic,conflicting and public issues as carriers.It promotes disciplinary knowledge learning through value clarification and rational argumentation and guides students to form sound val-ue judgments amid clashes of diverse values.Its learning process is characterized by"issue orientation-problem driving-rational de-liberation-social participation".However,conventional technological support suffers from limitations such as over-prescribed proce-dures,delayed feedback on argumentation,and insufficient coordination of multiple technical resources.To address these limitations,this study introduces large language model-driven multi-agent technology,constructs the"Yixiang Tiankai"multi-agent system,and defines four types of agents:Issue Tracer,Argumentation Modeler,Perspective Challenger,and Deliberation Navigator.Drawing on this system,this study designs an issue-based learning model supported by multi-agents,advancing classrooms toward a new form of mul-ti-agent collaboration among teachers,students and machines.A quasi-experimental study was carried out within primary school Ethics and the Rule of Law courses.The findings reveal that the core value of multi-agent support lies in improving the quality of hu-man-AI interaction.Specifically,role differentiation and functional specialization improve the matching between cognitive support and students' cognitive needs.The heterogeneous perspectives of multiple agents generate productive cognitive tension and stimulate higher-order cognitive activities including perspective taking,critical rebuttal,and deliberative decision-making.At the group argu-mentation level,multi-agent support optimizes the structural relations among claims,evidence,reasoning and rebuttals and thereby improves the quality of argumentative dialogue.Regarding learning performance,its benefits are more salient in tasks requiring high cognitive demands such as argumentation scripting and solution design.Its effects on critical thinking dispositions differ across di-mensions,with the most prominent promotion observed in reflective skepticism.关键词
议题式学习/多智能体/教学智能体/人机协同学习Key words
Issue-based learning/Multi-agent systems/Pedagogical agent/Human-AI collaborative learning分类
社会科学引用本文复制引用
王小雨,赵晓伟,余钰祺,吴宁,沈书生..角色化多智能体支持议题式学习的模式构建与效果检验[J].远程教育杂志,2026,44(5):79-91,13.基金项目
国家社会科学基金教育学2024年度青年项目"AIGC支持认识发生的数智苏格拉底对话式学习研究"(项目编号:CCA240256). （项目编号:CCA240256）
