Csda-Vis: A (What-If-And-When) Visual System for Early Dropout Detection

Author:

Garcia-Zanabria Germain,Gutierrez-Pachas Daniel,Gomez-Nieto Erick

Publisher

Elsevier BV

Reference92 articles.

1. Predicting university dropout through data mining: A systematic literature;M Alban;Indian Journal of Science and Technology,2019

2. Survival analysis based framework for early prediction of student dropouts;S Ameri;Proceedings of the 25th CIKM,2016

3. Modeltracker: Redesigning performance analysis tools for machine learning;S Amershi;Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems,2015

4. Exploring factors in contributing student progress in the open university;M H Arifin;International Journal of Information and Education Technology,2016

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