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What is DWDM about?

This paper proposes an integrated framework for predicting academic performance and providing early interventions for at-risk students in higher education. The approach combines clustering analysis and deep learning techniques to identify performance patterns and predict future outcomes, while also incorporating an early warning system for timely feedback. Experimental results demonstrate that this unified framework enhances the reliability of detecting at-risk learners and supports data-driven decision-mak

Author

Mufaizul Hassan

Language

EN