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<p>This study examines 532 school teachers’ perspectives on instructional quality, new teaching and learning opportunities, and the necessity for professional development (PD) activities related to artificial intelligence (AI) for K-12 education. Quantitative analyses revealed that AI-related PD opportunities are utilized to a limited extent thus far. However, the frequency of participation and satisfaction with the training are significantly and positively associated with key aspects of instructional quality (cognitive activation, classroom management, individualization, supportive climate). Furthermore, qualitative analyses indicate that the teaching profession is in its early stages of AI integration. The findings suggest that the transformative potential of AI for instruction remains either unclear to practitioners or beyond their current capacity for implementation. These results emphasize the importance of PD in AI for teaching in K-12 schools in the age of AI.</p>

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Artificial intelligence in K-12 instruction: the role of teacher professional development

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年2月13日

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  • Dana-Kristin Mah,
  • Nele Groß,
  • Marc Egloffstein,
  • Christopher Neil Prilop

摘要

This study examines 532 school teachers’ perspectives on instructional quality, new teaching and learning opportunities, and the necessity for professional development (PD) activities related to artificial intelligence (AI) for K-12 education. Quantitative analyses revealed that AI-related PD opportunities are utilized to a limited extent thus far. However, the frequency of participation and satisfaction with the training are significantly and positively associated with key aspects of instructional quality (cognitive activation, classroom management, individualization, supportive climate). Furthermore, qualitative analyses indicate that the teaching profession is in its early stages of AI integration. The findings suggest that the transformative potential of AI for instruction remains either unclear to practitioners or beyond their current capacity for implementation. These results emphasize the importance of PD in AI for teaching in K-12 schools in the age of AI.