Generative AI in Teacher Professional Development: A Literature-Based Review of Student Engagement and Academic Performance in Saudi Early Childhood Education

Abstract

Globally, classroom practices and teacher professional development have been significantly impacted by the quick development of generative artificial intelligence (AI) (Chen et al., 2020; Kasneci et al., 2023; UNESCO, 2023). In Saudi Arabia's Vision 2030-aligned educational reforms, technological innovation and the integration of AI into educational systems are becoming increasingly significant, especially in early childhood education (Ministry of Education, Saudi Arabia, 2021; UNESCO, 2023). Focusing on student engagement and academic performance in nursery and early childhood settings, this literature-based evaluation contrasts classrooms led by teachers trained through generative AI-supported professional development with those trained through conventional professional development. Using a qualitative document analysis method, the study examined peer-reviewed journal articles, policy papers, conference proceedings, and educational research published between 2015 and 2025. Thematic analysis was used to identify recurring themes across instructional strategies, classroom interaction, student involvement, and early academic development. According to research, AI-assisted professional learning can improve classroom interaction, individualized learning, engagement-based pedagogies, and instructional flexibility (Holmes et al., 2019; Luckin et al., 2016; UNESCO, 2023). Adaptive activities, language-supportive engagement, and personalized feedback strategies were more common among educators who received AI-supported technology training. There is still little and conflicting evidence for a direct advantage in academic achievement, especially in early childhood environments where linguistic interaction and social-emotional development are crucial to learning outcomes (Fredricks et al., 2004; Parker et al., 2021). The review also emphasizes the importance of aligning AI integration with Saudi cultural norms, educational regulations, and teacher autonomy. By examining recent findings on generative AI, teacher development, and early childhood learning in the Saudi Arabian context, the work contributes to ongoing discussions on AI in education and provides recommendations for additional empirical and longitudinal research.