Student Success in Using Microfiche to Find Periodicals

Using Course and Student Profiles to Improve Student Success

Using Emotional and Social Factors to Predict Student Success

College academic success and retention have traditionally been predicted using demographic and academic variables. This study moved beyond traditional predictors. A survey of 218 undergraduate students from a private Midwestern university revealed that emotional and social factors (e.g., stress, frequency of alcohol consumption) related to GPA and emotional factors (e.g., self-esteem, fatigue) ...

Using NSSE to Understand Student Success: A Multi-Year Analysis

This research focuses on using NSSE (National Survey of Student Engagement) responses to predict student academic success. The analysis is based on 16,630 Indiana University Bloomington first-year beginner students and seniors who completed the NSSE survey administered from 2006-2012. Logistic regression and linear regression on student background and pre-college information, financial aid, pre...

Prediction of Student Success Using Enrollment Data

Predicting the success of students as a function of different predictors has been a topic that has been investigated over the years. This paper explores the socio-demographic variables like gender, region lived and studied, nationality and high school degree that may influence success of students. We examine to what extent these factors help us to predict students’ academic achievement and will...

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...