摘要
Abstract
The application of artificial intelligence(AI)in education has gradually evolved from isolated question-answering tools to modes of role collaboration and workflow orchestration.Focusing on preschool and primary education,this review synthesizes core reviews and representative studies on intelligent tutoring systems,pedagogical agents,large language model agents,and multi-agent system(MAS).Adopting a structured narrative review approach,it analyzes the technological evolution,application scenarios,mechanisms of action,and governance boundaries of these technologies.The results show that MAS can support educational scenarios,including reading enlightenment,mathematical inquiry,classroom collaboration,teacher assistance,and home-school communication through task decomposition,role cooperation,peer interaction simulation,and multimodal process assessment.Current relevant studies still focus primarily on short-term researches,quasi-experiments,and prototype validations.In the field of children's education,MAS should be positioned as a fundamental carrier for human-AI collaborative learning that conforms to children's developmental laws,is teacher-led,and is regulated by adult mediation.Its effective application relies on educational scenario adaptation,minimal data collection,human-in-the-loop verification,and traceable management of rights and responsibilities.For practical promotion,priority deployment on the adult side,initiation in low-risk scenarios,and gradual hierarchical authorization are recommended.关键词
多智能体系统/儿童教育/教育智能体/大语言模型/人机协同Key words
multi-agent system/children's education/educational agent/large language model/human-AI collaboration
