Organizing for Student Success

Supporting Student ‘Success’:

It is suggested that the current research focus on withdrawal from the first year in higher education (HE) provides a limited account of what may influence persistence. In particular it provides little account of how persistence is facilitated in the cases where students have sometimes doubted whether they should remain at university. The aim of this study was to determine any differences in le...

Predicting Student Success

This research focuses on developing and implementing the Naïve Bayesian Classifier to GEAR courses at Rio Salado Community College. It demonstrates that this predictive model has good prediction accuracy of at-risk students. Predictive results across courses and cumulative gain charts show potential improvements to be made in students' academic success by focusing at high level risk students.

PREDICTIVE ANALYTICS FOR STUDENT SUCCESS: Developing Data-Driven Predictive Models of Student Success

Insights for Student Success in Higher Education

Motivation is a subject that has long interested researchers and practitioners seeking to understand human behavior and performance. Over the course of the 20th century and into the new millennium, scholars have developed sweeping theories and have amassed large bodies of applied research investigating motivation across a variety of settings. Motivation has been studied in schools, the workplac...

Student Success Prediction in MOOCs

Predictive models of student success in Massive Open Online Courses (MOOCs) are a critical component of effective content personalization and adaptive interventions. In this article we review the state of the art in predictive models of student success in MOOCs and present a dual categorization of MOOC research according to both predictors (features) and prediction (outcomes). We critically sur...