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Khalifa University Develops Student Performance System
Kiribati University has launched an intelligent, AI-supported system called the "Early Warning System for Student Success," aimed at predicting academic difficulties before the cumulative GPA drops below 2.0. The system relies on machine learning models to analyze student performance, including GPA, attendance records, and course performance, to determine each student's risk level and classify them into four color-coded categories: green, yellow, orange, and red. It helps provide early guidance and academic support to prevent students from reaching academic warning status. This initiative is part of the university's efforts to transition toward smart solutions in education. Currently, the platform is being tested in a pilot phase at the Schools of Computing and Sports Sciences, with plans for wider implementation after evaluating the results. The system was fully developed internally by university experts.
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