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As generative AI reshapes global education, cultivating AI-integrated pedagogical competence among STEM teachers has become a strategic imperative. This chapter examines the evolving landscape of AI-enhanced teacher training, situating China’s reform agenda within international developments. It introduces the AI-TPACK framework as a conceptual tool to bridge technological, pedagogical, and content knowledge in the age of AI. Through an analysis of global models, national policies, and localized school practices, the chapter identifies key implementation gaps and proposes a multilevel strategy to develop AI literacy and instructional innovation capacity among Chinese secondary STEM teachers. Emphasis is placed on contextualized training, ethical AI use, and discipline-specific pedagogical integration.

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Teacher Training Under Digital Transformation: Focusing on AI Application Capabilities of Secondary School STEM Teachers in China

  • 章节

  • 发表日期：

    2026年

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  • Chen Qirui,
  • Kamisah Osman

摘要

As generative AI reshapes global education, cultivating AI-integrated pedagogical competence among STEM teachers has become a strategic imperative. This chapter examines the evolving landscape of AI-enhanced teacher training, situating China’s reform agenda within international developments. It introduces the AI-TPACK framework as a conceptual tool to bridge technological, pedagogical, and content knowledge in the age of AI. Through an analysis of global models, national policies, and localized school practices, the chapter identifies key implementation gaps and proposes a multilevel strategy to develop AI literacy and instructional innovation capacity among Chinese secondary STEM teachers. Emphasis is placed on contextualized training, ethical AI use, and discipline-specific pedagogical integration.