人智协同模式的合规与共治:教育可解释人工智能治理框架构建OA

Generative artificial intelligence(GenAI)is being deeply integrated into core educational processes.While enabling pedagogical innovation,its inherent"black-box"characteristics also generate serious governance challenges,including lack of trans-parency,algorithmic bias,and difficulties in accountability,thereby posing fundamental barriers to human-AI collaborative education.To address these challenges,this study aims to construct a comprehensive governance framework for explainable artificial intelligence in education that is oriented toward human-AI collaboration and integrates technical feasibility with educational acceptability.First,through a critical synthesis of international policy documents and relevant academic theories,the study clarifies the core conceptual system of explainability in education and lays a theoretical foundation for governance practice.Second,a governance framework is de-veloped along three dimensions—policy compliance,collaborative governance,and capacity building.The study systematically inter-prets regulatory compliance requirements exemplified by the EU Artificial Intelligence Act and translates them into actionable compli-ance checklists and governance tools suitable for high-risk educational scenarios.Through in-depth analyses of local representative cases,such as AI-assisted scoring and classroom behavior analytics,the study further identifies stakeholders'differentiated needs for explanation,approaches to governance intervention,and mechanisms for shared responsibility.Drawing on international competency frameworks,it then designs a phased,role-specific competency matrix for educators'explainable-AI capabilities,together with peda-gogical integration pathways.Finally,the study map the landscape spanning macro-level institutions to micro-level practices,and ex-tending from empowering key actors to cultivating an enabling ecosystem.The proposed framework not only offers a structured theoret-ical lens for addressing the"black-box"dilemma of educational AI,but also provides an actionable roadmap for building a human-centered,technology-for-good governance ecosystem within the Chinese educational context.