What is monitoring academic or students behaviuor using clustering?

Monitoring academic or student behavior using clustering involves grouping students based on similar patterns or characteristics, such as academic performance, study habits, or engagement in class activities. By analyzing these clusters, educators can gain insights into different groups of students and tailor interventions or support accordingly to improve academic outcomes. This approach can help identify at-risk students, understand learning preferences, and enhance overall classroom experiences.