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

Abstract 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.

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Publication Details

Journal
Smart Learning Environments
Published
2026-02-13
DOI
https://doi.org/10.1186/s40561-026-00442-4
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Dana-Kristin Mah, Marc Egloffstein, Christopher Neil Prilop, Nele Groß
Smart Learning Environments
Teaching and Learning Programming
article

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

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

Abstract

Abstract 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.

Smart Learning EnvironmentsVol. 13(1)
Technische Hochschule Mannheim (DE), Leuphana University of Lüneburg (DE), University of Mannheim (DE), Aarhus University (DK)
Climate action
Openalex Percentile: Top 67%
Teaching and Learning Programming
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