PERSONALIZED LEARNING IN THE DIGITAL AGE: HARNESSING TECHNOLOGY FOR STUDENT SUCCESS

Abstract

This study investigates the impact of personalized learning on student engagement and academic performance in technology-enhanced educational environments. With the increasing integration of digital tools and artificial intelligence (AI) in classrooms, personalized learning has emerged as a key strategy for addressing diverse student needs. Using a quantitative research design, data were collected from 200 students through structured surveys and analyzed using statistical techniques such as regression analysis and ANOVA. The findings reveal a significant positive correlation between personalized learning strategies and improved student motivation, participation, and achievement. Additionally, results highlight the role of adaptive learning technologies in fostering self-regulated learning skills. However, challenges related to technology accessibility, teacher readiness, and data privacy remain critical barriers to widespread implementation. The study concludes with recommendations for optimizing AI-driven personalized learning frameworks to enhance educational outcomes at scale.