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Deho, Oscar Blessed; Joksimovic, Srecko; Li, Jiuyong; Zhan, Chen; Liu, Jixue; Liu, Lin – IEEE Transactions on Learning Technologies, 2023
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…
Descriptors: Learning Analytics, Models, Student Records, Prediction
Powers, Tim E.; Watt, Helen M. G. – Empirical Research in Vocational Education and Training, 2021
Although apprenticeships ease the school-to-work transition for youth, many apprentices seriously consider dropping out. While associated with noncompletions, dropout considerations are important to study in their own right, because they reflect a negative quality of apprenticeship experience and can impact apprentices' quality of learning and…
Descriptors: Apprenticeships, Potential Dropouts, Prediction, Vocational Interests
Larcombe, Wendy; Ryan, Tracii; Baik, Chi – Higher Education Research and Development, 2022
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…
Descriptors: Doctoral Students, Academic Persistence, At Risk Students, Student Attrition
Pedler, Megan Louise; Willis, Royce; Nieuwoudt, Johanna Elizabeth – Journal of Further and Higher Education, 2022
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…
Descriptors: Academic Persistence, College Students, First Generation College Students, Parent Background