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Early Student Performance Prediction by Benoît Lu is a document available to read on EtoBox.

What is Early Student Performance Prediction about?

This article presents research on predicting student performance in higher education using data mining methods. It explores using clustering and classification techniques to identify the impact of student performance in early stages by considering factors like admission scores, first level course grades, and academic/aptitude test scores. The results suggest educational systems can identify students at risk of failure early and take actions to improve performance.

Author

Benoît Lu

Language

EN