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.

Key words: artificial intelligence, human-AI interaction, kindergarten care and education, process quality, quality assessment