This study explored the interaction between student characteristics and the online environment in predicting course performance and subsequent college persistence among students in a large urban U.S. university system. Multilevel modeling, propensity score matching, and the KHB decomposition method were used. The most consistent pattern observed…

College students ("N" = 215) completed a self-report instrument designed to assess different regulation of motivation strategies as well as aspects of their motivational beliefs, use of cognitive and metacognitive learning strategies, and procrastination. The study serves to extend the research on the self-regulation of motivation…

Multi-group discriminant analysis was used to identify the pre-enrollment demographic and academic factors that best separate the success classes in the first-year examinations of science students at the University of Benin. The predictor of success was performance in specialist subjects of the matriculation examination. (Author/MLW)