Supporting 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.

Supporting Black Male Community College Success: Determinants of Faculty–Student Engagement

Supporting Black Male Community College Success: Determinants of Faculty–Student Engagement J. Luke Wood a & S. Mei-Yen Ireland b a Department of Administration , Rehabilitation and Post-Secondary Education, San Diego State University , San Diego , California , USA b Department of Higher Education and Student Affairs , The Ohio State University , Columbus , Ohio , USA Published online: 17 Dec 2...

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...

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