Artificial Intelligence and the Implementation of Science Education in Nigerian Tertiary Institutions

Abstract

The integration of artificial intelligence (AI) into higher education has introduced new dimensions to the implementation of science education in Nigerian tertiary institutions. This study examines how AI contributes to improving teaching, learning, research, and administrative processes in science-based disciplines. Drawing on existing literature, the paper identifies key areas where AI has enhanced science education, including personalized learning, innovative instructional delivery, improved assessment systems, research efficiency, collaborative learning, and professional development of academic staff. The study adopts a review-based approach, synthesizing empirical and theoretical works from both local and international sources. Findings reveal that AI has significantly improved the quality and effectiveness of science education in Nigerian tertiary institutions, although challenges such as inadequate infrastructure, limited technical skills, and policy gaps persist. The study concludes that while AI presents enormous opportunities for advancing science education, its successful implementation requires deliberate investment, policy support, and continuous capacity building. Recommendations are provided to guide stakeholders in maximizing the benefits of AI for sustainable science education development in Nigeria.