Knowledge Discovery for Higher Education Student Retention Based on Data Mining: Machine Learning Algorithms and Case Study in Chile

Dropout and transfer paths: What are the risky profiles when analyzing university persistence with machine learning techniques?

(2019) Luis J. Rodríguez-Muñiz et al.   PLoS One

Predicting Student Performance and Deficiency in Mastering Knowledge Points in MOOCs Using Multi-Task Learning

(2019) Shaojie Qu et al.   Entropy

Mining Educational Data to Predict Students’ Performance through Procrastination Behavior

(2019) Danial Hooshyar et al.   Entropy

Improved student dropout prediction in Thai University using ensemble of mixed-type data clusterings

(2015) Natthakan Iam-On et al.   International Journal of Machine Learning and Cybernetics

A comparative analysis of machine learning systems for measuring the impact of knowledge management practices

(2012) Dursun Delen et al.   DECISION SUPPORT SYSTEMS

Data mining in education

(2012) Cristobal Romero et al.   Wiley Interdisciplinary Reviews-Data Mining and Knowledge Discovery

Learning patterns of university student retention

(2011) Ashutosh Nandeshwar et al.   EXPERT SYSTEMS WITH APPLICATIONS

A comparative analysis of machine learning techniques for student retention management

(2010) Dursun Delen   DECISION SUPPORT SYSTEMS

Educational Data Mining: A Review of the State of the Art

(2010) Cristóbal Romero et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART C-APPLICATIONS AND RE

Dropout prediction in e-learning courses through the combination of machine learning techniques

(2009) Ioanna Lykourentzou et al.   COMPUTERS & EDUCATION