Emilio Flores-Mamani, Arcelia-Olga Rojas-Salazar, Pedro-Basilio Tapia-Espinoza, Constantino-Miguel Nieves-Barreto, Juan Inquilla-Mamani, Ányela-Yésica Flores-Yapuchura, Gilberto Vilca-Cutipa
Researchers have validated a reliable 30-item scale to measure how university instructors adopt and use AI in their teaching.
This study developed and validated a 30-item instrument based on the Unified Theory of Acceptance and Use of Technology to assess AI adoption among higher education faculty. Administered to 330 university instructors, exploratory factor analysis revealed a robust seven-factor structure that explained over 66% of the variance. The resulting scale demonstrated high internal consistency, making it a reliable diagnostic tool for institutions.
Instructional designers can use this validated scale to assess faculty readiness and attitudes before launching AI initiatives. By identifying specific areas of hesitation or enthusiasm across the seven factors, designers can create highly targeted professional development programs. This helps move AI training from generic workshops to evidence-based, context-specific support.
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Grounding GenAI training in hands-on, playful experimentation helps faculty build literacy, but some still crave structured guidance.
Generative AI is rapidly reshaping higher education, forcing institutions to rethink teaching, learning, and institutional strategy.
As AI automates entry-level jobs, instructional designers must shift focus from teaching basic answers to cultivating deep inquiry skills.
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