人工智能赋能流动儿童家庭教育的协同机制研究——基于北京市皮村的实证分析

Research on the Collaborative Mechanism of AI Empowering Parental Education for Migrant Children—Empirical Analysis Based on Picun Village in Beijing

摘要: 在教育数字化转型背景下，人工智能技术为提升家庭教育服务质量提供了新的路径。针对流动儿童家庭教育支持不足的问题，本文以北京市朝阳区皮村为研究场域，采用问卷调查与深度访谈相结合的混合研究方法，基于问卷调查与访谈数据，对流动儿童家庭教育需求进行分析，并在此基础上提出人工智能支持系统的功能设计构想与协同机制路径。研究发现，流动儿童家庭在亲子互动、教育资源获取及家庭教育指导方面存在显著不足，而人工智能在家庭教育指导、情感支持、家校沟通与资源推荐等方面具有积极作用。通过构建“政府–技术–社区”三级联动机制以及“AI + 社工”双轨服务模式，能够有效提升家庭教育服务的可及性与精准性。研究进一步提出基于分层需求的人工智能支持路径，为教育技术在家庭教育领域的应用提供实践参考。

Abstract: In the context of digital transformation in education, artificial intelligence (AI) provides new opportunities for improving the quality of family education services. Focusing on the insufficient support for family education among migrant children, this study takes Picun in Chaoyang District, Beijing as the research site. Based on questionnaire surveys and semi-structured interviews, the study conducts a needs-oriented analysis of family education and proposes a conceptual design of an AI-supported system along with a collaborative mechanism framework. The findings indicate that migrant families face significant challenges in parent-child interaction, access to educational resources, and guidance for family education. Based on these identified needs, this study summarizes key functional modules of AI applications, including intelligent consultation, emotional support, home-school collaboration, and resource recommendation. Furthermore, a collaborative mechanism involving government, technology platforms, and community organizations is proposed, as well as a dual-track service model integrating “AI + social work”. This study does not involve system development or experimental validation; instead, it aims to provide a conceptual framework derived from empirical data and theoretical analysis, offering practical implications for the application of AI in family education.