THE IMPACT OF PERSONALIZED AI-DRIVEN LEARNING PATHS ON STUDENT ENGAGEMENT AND ACADEMIC PERFORMANCE IN UNIVERSITY OF ILORIN, ILORIN

Abstract

This study investigated the impact of personalized AI-driven learning paths on student engagement and academic performance in University of Ilorin, Ilorin. In an era of technological advancement, traditional educational models are yielding to personalized learning, facilitated by artificial intelligence (AI). These AI-driven systems adapt to students' unique characteristics, preferences, and learning needs to enrich their educational experiences. Using a descriptive survey research design, the study surveyed 360 undergraduate students from the Department of Educational Technology. Data were collected through surveys and statistically analyzed mean and standard deviation. The research questions addressed the extent to which personalized AI-driven learning paths impact student engagement levels, the influence of personalized AI-driven learning paths on students perceived academic performance, and students' perceptions of the effectiveness of personalized AI-driven learning paths in enhancing their learning experience. The findings indicate that personalized AI-driven learning paths have a positive impact on student engagement and perceived academic performance. Students reported increased motivation, focus, and interest in course materials, coupled with improved interactions with content. Furthermore, the study establishes that personalized AI-driven learning paths are effective in enhancing academic performance. Students perceived these paths as crucial in achieving improved grades and exam scores, with many attributing their recent academic achievements to AI-driven personalization. Additionally, students expressed satisfaction with AI-driven platforms, highlighting user-friendly interfaces and timely feedback. These findings underscore AI-driven personalized learning's potential to revolutionize education by boosting student engagement and academic success. This research offers valuable insights for educational institutions seeking to harness AI-driven technologies to enhance student learning experiences.