THE ROLE OF AI IN PERSONALISED LEARNING

THE ROLE OF AI IN PERSONALISED LEARNING

Author
Laura SHEHU, Independent Researcher (Tirana, Albania)
Klejda HALLAÇI, Independent Researcher (Tirana, Albania)

Abstract
As digital education evolves rapidly, Artificial Intelligence (AI) is beginning to shape how we approach personalised learning. This paper explores how AI systems can analyse student behaviour, adapt learning materials in real time, and provide timely, targeted feedback to keep students engaged and support their progress. The focus is on three key areas: intelligent tutoring systems, adaptive assessments, and personalised content recommendations. Along the way, we also touch on core machine learning techniques such as classification, clustering, and reinforcement learning, and show how they fit into educational contexts. Finally, the paper raises important ethical issues, particularly regarding data privacy and algorithmic bias. By looking at current tools and what is coming next, we aim to show how AI could help create more flexible, responsive learning paths that respect each student's pace, preferences, and needs. These developments highlight how AI may be used to tailor learning paths and make data-driven decisions to maximise instructional tactics. Thorough evaluation of AI-driven treatments should be a top priority for future research to ensure their pedagogical efficacy, scalability, and ethical compliance.