AI enhances monitoring of student performance 

AI enhances monitoring of student performance 

A novel research at Al Buraimi University College has shown that use of AI can greatly help monitor student performanceMuscat – A novel research at Al Buraimi University College has shown that use of artificial intelligence can greatly help monitor student performance and devise measures for timely intervention.

The study – titled An artificial intelligence approach to monitor student performance and devise preventive measures – led by IT instructor Dr Ijaz Muhammad Khan explores the potential of AI in the educational sector, particularly in identifying and supporting students needing additional help.

Dr Ijaz Muhammad Khan

Khan informed that one of the persistent challenges for academic instructors is effective monitoring of students’ academic progress. Traditional methods often fail timely identification of students who are lagging, preventing early intervention. With educational institutions accumulating vast amounts of data on students, there is growing need to leverage this data to improve educational outcomes and enhance institutional reputation.

The research utilised data from Al Buraimi University College to test various AI approaches, focusing on machine learning classifiers that could predict students’ academic performances early in their courses. In particular, the study evaluated the effectiveness of these classifiers in identifying key indicators that warrant early intervention.

Among the machine learning models