Association Rule Mining in Educational Data: Unveiling Patterns for Enhanced Learning Outcomes

Abstract

Abstract Educational institutions are increasingly leveraging data-driven approaches to improve teaching and learning processes. This research paper delves into the application of association rule mining in Educational Data Mining (EDM) to uncover hidden patterns and relationships within educational datasets. The study focuses on how these associations can be utilized to enhance instructional strategies, student performance, and overall educational outcomes.