AIED

From Predictive Models to Actionable Recommendations: A Survey of Counterfactual Approaches in Student Dropout

Fri Jul 3, 11:45 AM–12:00 PM · North 210

Part of AI for Student Success and Retention

Predictive Modeling & Early Warning Explainable & Trustworthy AI Educational Data Mining Methods

★ Notable speakers

Cristian Cechinel ★ — Learning analytics; educational data mining; student dropout prediction; LMS data analysis in Latin America

Thales Vieira ★ — Intelligent tutoring systems for underserved regions; MathAIde ITS; AI/computer vision in education

Surveys counterfactual explanation methods in student dropout prediction, mapping how they translate predictive model outputs into actionable recommendations.

Authors

Raylan Santos, Cristian Cechinel, Emanuel Queiroga, Thales Vieira