【摘要】 人工智能的快速发展推动了人类社会迈向人智交互新阶段。在建设高质量学前教育体系进程中，应坚持以促进幼儿身心健康发展为导向，聚焦过程质量开展幼儿园保育教育质量评估。针对传统评估面临的情境真实性剥离、评估真实性异化和资源真实性壁垒等困境，亟待以人智交互驱动幼儿园保育教育过程质量评估回归真实世界。基于信息生态理论，文章建构了“环境—人—数据—技术”四位一体框架，通过真实性环境重构、跨场景协同联动、多模态深度融合以及自适应动态支持，为实现时空交互、场景交互、数据交互、决策交互的人智交互评估生态提供了新的可能。但同时，相关方也需警惕过度数据化、儿童主体性剥夺、信息失真带来的伦理风险。最后，文章尝试提出涵盖价值核心层、理论建模层、技术支撑层和应用保障层的人智交互赋能下幼儿园保育教育过程质量评估的推进路径。更多还原

【Abstract】 The rapid development of artificial intelligence has propelled human society into a new era of human-AI interaction.In the process of building a high-quality education system,it is essential to focus on promoting the physical and mental development of preschool children and to concentrate on process quality to promote the return of kindergarten care and education quality assessment to the real world.In response to the challenges faced by traditional assessment,such as the separation of situational authenticity,the alienation of assessment authenticity,and the barriers of resource authenticity,it is urgent to drive the process quality assessment of kindergarten care and education back to the real world through human-AI interaction.An “environment-person-data-technology” integrated framework was proposed based on the information ecology theory.Through the reconstruction of authentic environment,cross-field collaborative linkage, multi-modal deep integration,and adaptive dynamic support,this study provided new possibilities for achieving the assessment ecology of human-AI interaction such as time-space interaction,scene interaction,data interaction,and decision-making interaction.However,at the same time,vigilance is also needed against the ethical risks brought about by excessive datamation,deprivation of children’s subjectivity,and information distortion.Finally,assessment promotion pathways are attempted to be proposed for the process quality assessment of kindergarten care and education driven by human-AI interaction,covering the core value layer,theoretical modeling layer,technical support layer,and application guarantee layer.更多还原