Many educational institutions are using predictive models to leverage actionable insights using student data and drive student success. A common task has been predicting students at risk of dropping out for the necessary interventions to be made. However, issues of discrimination by these predictive models based on protected attributes of students…

This study investigates the effects of contextual and motivational factors as well as, crucially, their interaction in predicting university students' dropout intentions. We focus on context-related problems in students' degree program as contextual factors and students' personal best goals (PB goals) as motivational factors. The sample of this…

Although high PhD attrition rates are a matter of international concern, the factors that lead doctoral researchers to leave their programmes are not well understood. The present study addresses that issue by exploring factors that prompted thoughts of discontinuing among 1017 PhD researchers (PhDRs) at a public, research-intensive Australian…

A sense of belonging is important as it incorporates feelings of being valued, included and accepted at university. Research suggests that higher education students who have a greater sense of belonging tend to have higher motivation, more academic self-confidence, higher levels of academic engagement and higher achievement. This article presents…

Academic failure is an important and personal event in the lives of university students, and the ways they make sense of experiences of failure matters for their persistence and future success. Academic failure contributes to attrition, yet the extent of this contribution and precipitating factors of failure are not well understood. To illuminate…

Identities extend standard models that explain student motivations to complete courses at technical college. A differential hypothesis was that profiles of identities (individuality, belonging and place) explain the self-concepts and task values that contribute to participation, considering demographic factors (age, gender, location, paid work).…

There are many factors which might cause a student to drop out of a course of study; some of these are preventable. This paper describes the piloting of a survey tool designed to identify students at risk of not completing. Attendance was found to be the strongest predictor of module completion; low or declining scores on the survey were also…