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This is a Quantitative Study study.

October 17, 2025Open Access

Decoding Instructional Dialogue: Human-AI Collaborative Analysis of Teacher Use of AI Tool at Scale

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Human-AI collaborative analysis reveals patterns of educator engagement with AI tools, suggesting implications for teacher development.

Findings demonstrate that LLMs can significantly enhance theme identification in educational contexts, improving analysis reliability.
Analysis of over 140,000 educator-AI messages shows that a majority of teachers engage AI for enhancing instructional practices.
The study developed a hierarchical codebook based on established frameworks to evaluate teacher interactions with AI tools.
Emerging AI competencies identified in educator interactions indicate significant implications for teacher preparation and professional growth.

Liu et al. (2025) studied this question.

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