Perceptions and preparedness of K-12 educators in adopting generative AI

The integration of generative artificial intelligence (AI) tools, such as ChatGPT and DALL-E, presents transformative opportunities and challenges for K-12 education. This mixed-methods study investigates educators’ perceptions, familiarity, and preparedness for AI adoption, as well as institutional strategies and barriers. Quantitative findings indicate strong relationships between AI familiarity, perceived readiness, and institutional planning stages. Qualitative analysis highlights challenges such as insufficient professional development, ethical concerns, and infrastructural inequities, alongside opportunities for enhancing personalised learning and operational efficiency. The findings underscore the need for targeted training, equitable resource access, and clear institutional policies to ensure effective and ethical AI integration. This research offers actionable insights for educators, policymakers, and leaders seeking to navigate AI’s potential in K-12 education.

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Publication Details

Journal
Research in Learning Technology
Published
2025-06-24
DOI
https://doi.org/10.25304/rlt.v33.3448
Citations
8
Primary Topic
Educational Games and Gamification
Type
article
Field-Weighted Citation Impact
27.56
Controls
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article

Perceptions and preparedness of K-12 educators in adopting generative AI

Juhee Kim
8 citations
Research in Learning Technology
Educational Games and Gamification
27.56
article

Perceptions and preparedness of K-12 educators in adopting generative AI

Juhee Kim
article en
8 citations

Abstract

The integration of generative artificial intelligence (AI) tools, such as ChatGPT and DALL-E, presents transformative opportunities and challenges for K-12 education. This mixed-methods study investigates educators’ perceptions, familiarity, and preparedness for AI adoption, as well as institutional strategies and barriers. Quantitative findings indicate strong relationships between AI familiarity, perceived readiness, and institutional planning stages. Qualitative analysis highlights challenges such as insufficient professional development, ethical concerns, and infrastructural inequities, alongside opportunities for enhancing personalised learning and operational efficiency. The findings underscore the need for targeted training, equitable resource access, and clear institutional policies to ensure effective and ethical AI integration. This research offers actionable insights for educators, policymakers, and leaders seeking to navigate AI’s potential in K-12 education.

Research in Learning TechnologyVol. 33
University of Idaho (US)
Openalex Percentile: Top 0%
Educational Games and Gamification
27.56
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