THE IMPACT OF GENERATIVE AI ON PERSONALIZED LEARNING: A MULTI-PHASE STUDY ON STUDENT ENGAGEMENT AND LEARNING OUTCOMES IN SECONDARY SCHOOLS IN EBONYI STATE

Abstract

This study explores the potential of generative AI to revolutionize education. Through a mixed- methods approach, including surveys and a controlled experiment, it examines students' and teachers' perceptions of personalized learning and the role of technology. Findings indicate a strong desire for hands- on learning and tailored instruction. The intervention group, exposed to generative AI, demonstrated higher post-test scores and reduced score variability compared to the control group. However, challenges such as data collection limitations and the need for comprehensive teacher training surfaced. The research emphasizes the importance of a holistic approach to AI integration, considering ethical implications, user experience, and ongoing evaluation to maximize its benefits for student learning and achievement.