现代教育技术2026，Vol.36Issue(5)：38-48,11.DOI:10.3969/j.issn.1009-8097.2025.05.004
人智协同视域下的虚拟科学探究学习:内涵逻辑与实践路径
Virtual Scientific Inquiry Learning from the Perspective of Human-AI Collaboration:Connotative Logic and Practical Pathways
摘要
Abstract
Virtual scientific inquiry learning has expanded learning spaces and methods for cultivating scientific and technological innovation talents.However,in previous practices,teachers'support was lagging and machine guidance was highly prescriptive,which made it difficult to provide timely and personalized learning support,thereby limiting the improvement of students'inquiry effectiveness.The concept of human-AI collaboration emphasizes the synergistic effect of teachers and intelligent agents,jointly empowering students to solve scientific problems and promoting the development of students'core scientific literacy.Accordingly,this paper focused on virtual scientific inquiry learning from the perspective of human-AI collaboration,systematically elaborated its fundamental connotations and clarified its internal logic,which took"the inquiry goals of human-AI co-cultivation as the logical starting point",the inquiry field of human-AI symbiosis as the intelligence-enabling carrier,and the inquiry process of human-AI co-promotion as the practical path.On this basis,a practical framework centered on students'inquiry learning was constructed,encompassing four levels:environmental support,activity design,activity facilitation,and goal attainment.Finally,combined with the practical case of the self-developed AiSim platform supporting middle school physics electricity instruction,this study provided theoretical reference and practical guidance for the implementation of this model in science education.关键词
人智协同/虚拟科学探究学习/科技创新人才培养/生成式人工智能Key words
human-AI collaboration/virtual scientific inquiry learning/cultivation of scientific and technological innovation talents/generative artificial intelligence分类
社会科学引用本文复制引用
李艳燕,李红慧,张香玲,Natthawin Cho,包昊罡..人智协同视域下的虚拟科学探究学习:内涵逻辑与实践路径[J].现代教育技术,2026,36(5):38-48,11.基金项目
本文为2023年度国家自然科学基金面上项目"融合多模态学习分析的协作过程监测和智能反馈研究"(项目编号:62277006)、中央高校基本科研业务费专项资金资助项目"面向创新人才培养的数字教育新范式研究"(项目编号:1253200032)、2024年度北京师范大学博一学科交叉基金项目"AIGC视域下人机协同学习的群体感知信息设计与评估研究"(项目编号:BNUXKJC2403)的阶段性研究成果. （项目编号:62277006）
