远程教育杂志2026，Vol.44Issue(2)：30-42,13.DOI:10.15881/j.cnki.cn33-1304/g4.2026.02.004
面向复杂任务解决的多智能体协同学习环境构建
Designing a Multi-Agent Collaborative Learning Environment for Complex Problem Solving—A Design-Based Study
摘要
Abstract
Against the backdrop of increasing intelligence and scalability in education,learning environments are increasingly required to support more complex learning scenarios and competency development needs.However,several challenges persist while implementing large-scale individualized instruction in complex problem solving tasks,including difficulties in authentically replicating real-world contexts and insufficient provision of personalized scaffolding.To address these challenges,this study adopted a design-based research method and,through three iterative cycles,developed a multi-agent collaborative learning environment for cultivating clinical reasoning in medical students.The system comprises multiple roles-an AI patient,an AI assistant,and an AI preceptor-that collaboratively reconstruct authentic clinical scenarios and provide learners with process-oriented cognitive scaffolding.The study was conducted in three phases and involved more than 70 medical students participating in multiple rounds of diagnostic tasks.By inte-grating system log data,survey responses,and process mining analysis,the results indicate that the multi-agent collaborative learning environment significantly improves diagnostic accuracy in high-complexity clinical reasoning tasks.Moreover,learners who achieved successful diagnoses demonstrated a dialectical cognitive cycle involving evidence weighing,cognitive gap identification,and scaffold seeking.This study provides both theoretical and practical support for the design of learning environments that leverage multi-agent collaboration to facilitate complex problem solving.关键词
复杂任务解决/多智能体协同/学习环境设计/基于设计的研究Key words
Complex problem solving/Multi-agent collaboration/Learning environment design/Design-based research分类
社会科学引用本文复制引用
许家奇,唐陆禛,李子健,陈娜平,范逸洲..面向复杂任务解决的多智能体协同学习环境构建[J].远程教育杂志,2026,44(2):30-42,13.基金项目
2025年国家自然科学基金青年项目"基于生成式人工智能建构元认知脚手架的关键技术及实证应用研究"(项目编号:62407001)、2026年北京市自然科学基金青年项目"智慧学习环境中融合视觉健康的具身化人—智能体交互机制与关键技术研究"(项目编号:4264119)、汕头大学医学院2025年教学改革与研究项目"基于Gen-AI三位一体支持策略的临床推理训练模型构建与应用效果及干预机制研究"(项目编号:No.36). （项目编号:62407001）
