The study provides a detailed methodological approach, cross-industry standard process for data mining, for predicting at-risk students with an imbalanced class. The objective was to identify the best machine learning model for predicting students at risk of failing the course during weeks 2-8 of the semester. We encountered issues in the dataset,…

The internet has had a vast and pervasive effect on many industries. It has resulted in the creation of new industries and has overhauled the dynamics that governed existing industries. One of the most traditional industries that is now struggling to cope with the changes brought on by the internet is the industry of higher education. Students can…

This case describes the research process followed by two professors who chose to study student outcomes in our online accounting classrooms. Motivated by the discovery of a possible anomaly in classroom outcomes, we decided to look further. We thought the anomaly might be explained by student procrastination. If our perception proved true, the…