FACTORS INFLUENCING PRE-SERVICE PRIMARY TEACHERS’ READINESS TO USE ARTIFICIAL INTELLIGENCE IN LESSON PLANNING

DOI: 10.18173/2354-1075.2025-0091

Tóm tắt

This study examines factors influencing pre-service primary teachers’ willingness to use AI in lesson planning, as they are expected to lead technology integration in the classroom. Grounded in the Unified Theory of Acceptance and Use of Technology (UTAUT), the Technology Acceptance Model (TAM), the Theory of Planned Behavior (TPB), and the Technological Pedagogical Content Knowledge (TPACK) framework, a survey instrument with six components was developed and administered to 468 pre-service teachers at Hanoi Metropolitan University. Data were analyzed using exploratory factor analysis (EFA) in SPSS. Six key factors emerged: (1) expected effectiveness of AI in supporting lesson planning; (2) awareness and attitudes toward using AI in lesson planning; (3) AI-related skills in lesson design; (4) support from lecturers and the institution; (5) technological infrastructure and learning environment; and (6) ethical and legal understanding of AI in education. Among these, Performance Expectancy and AI-related Skills were the strongest predictors, aligning with TAM and UTAUT, while institutional support, infrastructure, and ethical awareness provided essential enabling conditions. The findings confirm classic technology adoption models while highlighting new requirements in teacher training under digital transformation. Practically, the study suggests integrating AI content into curricula, offering hands-on activities with modern AI tools, improving infrastructure, and enhancing faculty capacity.