Data Analytics in Education: Enhancing Student Learning Outcomes

Utilizing statistical, computational, and analytical
techniques, data analytics in education assesses and improves student learning results. This study looks at how educational institutions might use data analytics to forecast student performance, find learning patterns, and offer individualized instruction. Education professionals can make better decisions by gaining insights on student behaviour, engagement, and comprehension through the
analysis of massive datasets. The research looks at a number of data sources, such as student comments, online learning activities,and academic records, in order to create models that can precisely predict academic achievement and pinpoint students who are at danger. Furthermore, the study looks into the moral ramifications of using data in the classroom while protecting students’ privacy and maximizing the learning outcomes. The purpose of the findings is to offer educators and legislators practical suggestions
for putting data-driven tactics into practice that promote a
welcoming and productive learning environment.