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Development and Validation of a Teachers’ Generative AI Acceptance Scale within the UTAUT Framework: The Case of ChatGPT
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3
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2026
Jahr
Abstract
This study develops a reliable and valid scale based on the Unified Theory of Acceptance and Use of Technology (UTAUT) to measure teachers' acceptance and usage of ChatGPT. Conducted during the 2024-2025 academic year with 440 teachers, the scale's development involved three stages. Following expert reviews for content validity, Exploratory Factor Analysis (EFA, n=200) identified a 22-item, four-component structure accounting for 80.193% of the total variance. Confirmatory Factor Analysis (CFA, n=215) validated this structure with good fit indices. Reliability was confirmed by a Cronbach’s alpha of .95 and a test-retest coefficient of .97. Item-total correlations ranged from .720 to .764, demonstrating strong discriminatory power. Results indicate that this UTAUT-based instrument is a psychometrically robust tool for assessing pedagogical ChatGPT integration.
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