School burnout can manifest in students in different ways. Some might feel tired or anxious, while in others, burnout may manifest as a negative attitude towards school. Early detection of the various signs and symptoms of burnout is important, as it is likely that a student experiencing burnout symptoms in one area will later experience them in other areas, too. Conducted at the University of Eastern Finland, a recent study following more than 200 Finnish general upper secondary school students over three years explored associations of students’ perceived and received support, student engagement, and gender with the different dimensions of school burnout, i.e., exhaustion, cynicism, and inadequacy. 

Personalized education, powered by educational technology and AI, is revolutionizing learning experiences in the digital age. This review examines recent advancements in personalized educational data mining across four key areas: educational recommendation, cognitive diagnosis, knowledge tracing, and learning analysis. The paper presents a structured taxonomy, compile datasets, and identify future research directions, highlighting data mining’s pivotal role in optimizing learning processes, and fostering innovation in personalized education.