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

Predicting course outcomes with digital textbook usage data

Article history: Accepted 5 June 2015 Available online 11 June 2015 Digital textbook analytics are a new method of collecting student-generated data in order to build predictive models of student success. Previous research using self-report or laboratory measures of reading show that engagement with the textbook was related to student learning outcomes. We hypothesized that an engagement index ...

Enterprise Case Study: Increasing Student Success and Retention How VSU determined risk and success factors with data discovery and predictive analytics

Output from Statistical Predictive Models as Input to eLearning Dashboards

We describe how statistical predictive models might play an expanded role in educational analytics by giving students automated, real-time information about what their current performance means for eventual success in eLearning environments. We discuss how an online messaging system might tailor information to individual students using predictive analytics. The proposed system would be data-dri...

Predictive Modeling to Forecast Student Outcomes and Drive Effective Interventions in Online Community College Courses

Community colleges continue to experience growth in online courses. This growth reflects the need to increase the numbers of students who complete certificates or degrees. Retaining online students, not to mention assuring their success, is a challenge that must be addressed through practical institutional responses. By leveraging existing student information, higher education institutions can ...

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...