数字技术赋能流动儿童家校社协同育人机制研究

Research on the Mechanism of Coordinated Education for Migrant Children by Families, Schools, and Communities Empowered by Digital Technology

摘要: 随着我国流动人口规模扩大，流动儿童教育问题愈发突出，家校社协同育人成为解决该问题的关键路径，而人工智能技术为教育协同发展提供了新可能。本研究以生态系统理论、创新生态系统理论为基础，采用多案例质性研究法，选取北京、上海、广州三地流动人口聚居区为调研对象，对42名流动儿童家长、教师及社区工作者开展访谈与实地观察。研究发现，当前流动儿童家校社协同育人呈松散化、碎片化特征，AI技术应用呈现“学校先行、家庭分化、社区滞后”的非均衡格局，存在家长数字素养不足、各主体数据不通、社区数字基础设施薄弱等现实困境。在此基础上，本研究从微系统互动与中间系统联结双维度，剖析了AI技术赋能协同育人的核心机制，并从家庭、学校、社区及协同机制层面提出针对性优化路径。

Abstract: As the scale of the floating population in China expands, the educational issues of migrant children have become increasingly prominent. Collaborative education involving families, schools, and communities has emerged as a crucial approach to address this problem, while artificial intelligence (AI) technology offers new possibilities for the coordinated development of education. Based on the ecosystem theory and the innovation ecosystem theory, this study employs the multi-case qualitative research method. It selects the floating population accumulation areas in Beijing, Shanghai, and Guangzhou as the research subjects, and conducts interviews and on-site observations with 42 parents of migrant children, teachers, and community workers. The research findings indicate that the current collaborative education involving families, schools, and communities for migrant children is characterized by looseness and fragmentation. The application of AI technology presents an unbalanced pattern of “schools taking the lead, families showing differentiation, and communities lagging behind”, and there are practical challenges such as insufficient digital literacy among parents, unconnected data among various entities, and weak digital infrastructure in communities. On this basis, this study analyzes the core mechanism of AI - enabled collaborative education from the two dimensions of microsystem interaction and mesosystem connection, and proposes targeted optimization paths at the levels of families, schools, communities, and the collaborative mechanism.