PREDICTIVE ANALYTICS IN EDUCATION: USING AI TO FORECAST STUDENT PERFORMANCE

Abstract

Predictive analytics, empowered by artificial intelligence (AI), is revolutionizing education by forecasting student performance. This review explores the application of predictive analytics in educational settings, examining methodologies, data sources, and predictive models used to anticipate student outcomes. Key themes include the integration of AI technologies, ethical considerations, and the impact on educational strategies. By analyzing current research and case studies, this paper highlights the potential benefits and challenges of using predictive analytics to enhance student success and institutional efficiency. The findings underscore the transformative potential of AI-driven predictive analytics in shaping the future of education.