SPECIAL ISSUE Predicting students' learning outcomes using machine learning

All Items

• A Systematic Approach to Predicting Students' Academic Performance A Review of Recent Literature

  Anselmus Yata Mones

  1–14

• Academic Productivity Dynamics in Colombian Social Science Programs A PCA–Malmquist Index Approach (2020–2023)

  Enrique De La Hoz, Carlos Garcia-Yerena, Rohemi Zuluaga-Ortiz

  91–100

• Actionable Learning Analytics Predicting University Performance Levels with Interpretable Machine Learning

  Enrique De La Hoz, Carlos Garcia-Yerena, Ingrid Torres-Rojas

  15–27

• Machine Learning Predictions of Student Outcomes The Role of Educational Structure and Social Stressors in Czech Municipalities

  Martin Flegl, Marketa Matulova, Kristyna Vltavska

  40–56

• Measuring Academic Efficiency in High-Impact Scholarships A Two-Stage Windows DEA and Gaussian Mixture Model Approach

  Andres Acero, Miguel Alejandro Garzón-Parra, Jesús Isaac Vázquez-Serrano

  57–71

• Unpacking the Black Box A Hybrid XAI Framework for AutoGluon-Based Multiclass Student Outcome Prediction

  Marwan Nawae, Siripa Chankua, Massaya Longsaman

  28–39