【摘要】 在教师教育由封闭走向开放的进程中，教师能力建设始终是核心议题。人工智能时代下，教师能力发展的底层逻辑保持不变，涵盖为人师表、教学实践、评价诊断、组织管理与自我发展五大能力，但其内涵与时俱进地拓展升级，为人师表从传统示范到人技统一的师德引领；教学实践从程式化教学到人机协同范式；评价诊断从结果甄别到人工智能驱动的发展性评价；组织管理从秩序维护转向人机联动的育人型管理；自我发展从被动适应转向人工智能赋能的自主成长。面向未来，教师应在坚守本质中寻求变革，在不变中探索创新发展之路。更多还原

【Abstract】 In the evolution of teacher education from closed to open systems, the construction of teacher competence has always been a central concern. In the era of artificial intelligence(AI), the fundamental logic of teacher competence persists, encompassing five core domains: moral modeling, instructional practice, assessment and diagnosis, organization and management, and professional self-development. However, these competences have been substantially reshaped in response to technological advancement. Moral modeling has shifted from traditional demonstration to ethics-led integration of teachers’ morality and technology. Instructional practice has progressed from rigid and teachers-centered delivery to a human-AI collaborative paradigm. Assessment and diagnosis have transitioned from outcome-based screening to AI-assisted developmental assessment. Organization and management have moved beyond maintaining order toward human-AI coordinated and education-oriented management. Self-development has evolved from passive adaptation to AI-empowered autonomous growth. Looking ahead, teachers should seek reform while adhering to their fundamental mission, exploring innovative pathways for development amid stability and change.更多还原