Identifying at-risk students based on the phased prediction model

Identifying At-Risk Students for Early Interventions—A Time-Series Clustering Approach

(2017) Jui-Long Hung et al.   IEEE Transactions on Emerging Topics in Computing

Models for early prediction of at-risk students in a course using standards-based grading

(2016) Farshid Marbouti et al.   COMPUTERS & EDUCATION

Students' LMS interaction patterns and their relationship with achievement: A case study in higher education

(2016) Rebeca Cerezo et al.   COMPUTERS & EDUCATION

Predicting students' final performance from participation in on-line discussion forums

(2013) Cristóbal Romero et al.   COMPUTERS & EDUCATION

A system for knowledge discovery in e-learning environments within the European Higher Education Area – Application to student data from Open University of Madrid, UDIMA

(2013) Juan A. Lara et al.   COMPUTERS & EDUCATION

Using data mining on student behavior and cognitive style data for improving e-learning systems: a case study

(2013) Milos Jovanovic et al.   International Journal of Computational Intelligence Systems

Procrastination, participation, and performance in online learning environments

(2010) Nicolas Michinov et al.   COMPUTERS & EDUCATION

Cluster-based under-sampling approaches for imbalanced data distributions

(2008) Show-Jane Yen et al.   EXPERT SYSTEMS WITH APPLICATIONS