Student Performance Analysis and Improvement

Abstract

In an era marked by digital transformation and evolving educational paradigms, the convergence of data analysis, artificial intelligence, and education presents unprecedented opportunities for enhancing student learning outcomes. This research embarks on a journey to explore the dynamic interplay between data analysis and artificial intelligence within the educational landscape, with the overarching goal of improving student performance.

Driven by a commitment to bridging existing gaps in the literature, our research delves into the comprehensive analysis of student performance data, encompassing academic, behavioral, and contextual variables. Leveraging data preprocessing techniques, our methodology ensures the integrity and quality of the data, laying the foundation for accurate analysis.