The Role of AI-Powered Learning Analytics in Enhancing Student Engagement and Performance

Abstract

This chapter examines the transformative role of AI-driven learning analytics in improving student engagement and academic achievement. These findings support personalized education, early identification of endangered students, and rapid interventions to improve learning outcomes. This chapter identifies global implementation, comparative implementation of education systems, and justice, privacy, and scalability challenges. It focuses on the most essential role of educators in interpreting and using analysis. The recommendations are aimed at educators, institutions, and political decision-makers to ensure AI's ethical and effective integration into education. This chapter is closed with a call for further research and development to promote responsibility, integrated, and innovative use of AI in educational environments worldwide.

Keywords: Academic achievements, Decision makers, Education systems, Educational environment, It focus, Learning outcome, Political decision, Research and development, Student engagement, Student performance