About this document
Early Prediction of Student Performance by Via Cañedo Pleños is a document available to read on EtoBox.
The document discusses a data mining approach aimed at early prediction of academic performance to address the high dropout rate of 40% among undergraduate students in the United States. It emphasizes the importance of identifying at-risk students early to implement remedial actions. The context highlights the U.S. ranking 19th in graduation rates among 28 OECD countries.
- Author
- Via Cañedo Pleños
- Language
- EN