COMPARATIVE ANALYSIS OF MACHINE LEARNING AND DEEP LEARNING APPROACHES FOR PREDICTING STUDENT DROPOUT IN HIGHER EDUCATION: A CASE STUDY OF THE VIRTUAL UNIVERSITY OF IVORY COAST
Journal: International Journal of Advanced Research (Vol.14, No. 01)Publication Date: 2026-01-15
Authors : Moussa Kone; Harrisson thiziers achi;
Page : 510-518
Keywords : Student dropout prediction Machine learning Deep learning Binary classification Neural networks Educational data mining Early warning systems;
Abstract
Student dropout is a critical challenge for academic governance and institutional performance in higher education systems.
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