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Marta Pellegrini; Carmen Pannone; Daniela Fadda; Laura Francesca Scalas; Giuliano Vivanet; Amanda Neitzel – Campbell Systematic Reviews, 2025
The issue of students dropping out before completing secondary education is a global concern with significant individual and societal consequences. Various terms, such as Early School Leaving (ESL), Early Leaving from Education and Training (ELET), and school dropout, reflect different policy perspectives on this phenomenon. Despite international…
Descriptors: Dropout Prevention, Intervention, Compensation (Remuneration), Potential Dropouts
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Melisa Diaz Lema; Melvin Vooren; Marta CannistrĂ ; Chris van Klaveren; Tommaso Agasisti; Ilja Cornelisz – Studies in Higher Education, 2024
Study success in Higher Education is of primary importance in the European policy agenda. Yet, given the diverse educational landscape across countries and institutions, more coordinated action is needed to gain a more solid knowledge of the dropout phenomenon. This study aims to gain a better insight into students' dropout based on an integrated…
Descriptors: Foreign Countries, Dropout Research, College Students, Dropouts
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Jialun Pan; Zhanzhan Zhao; Dongkun Han – IEEE Transactions on Learning Technologies, 2025
Properly predicting students' academic performance is crucial for elevating educational outcomes in various disciplines. Through precise performance prediction, schools can quickly pinpoint students facing challenges and provide customized educational materials suited to their specific learning needs. The reliance on teachers' experience to…
Descriptors: Prediction, Academic Achievement, At Risk Students, Artificial Intelligence
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Andrea Zanellati; Stefano Pio Zingaro; Maurizio Gabbrielli – IEEE Transactions on Learning Technologies, 2024
Academic dropout remains a significant challenge for education systems, necessitating rigorous analysis and targeted interventions. This study employs machine learning techniques, specifically random forest (RF) and feature tokenizer transformer (FTT), to predict academic attrition. Utilizing a comprehensive dataset of over 40 000 students from an…
Descriptors: Dropouts, Dropout Characteristics, Potential Dropouts, Artificial Intelligence
Florence Xiaotao Ran; Hojung Lee – Annenberg Institute for School Reform at Brown University, 2024
The landscape of developmental education has experienced significant shifts over the last decade nationwide, as more than 20 states and higher education systems have transitioned from the traditional prerequisite model to corequisite remediation. Drawing on administrative data from Tennessee community colleges from 2010 to 2020, this study…
Descriptors: Required Courses, Remedial Programs, Remedial Instruction, Program Effectiveness
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Katrina A. Roxas; April L. Shapiro; Sheri C. Chisholm; Diana L. Niland; Michelle A. House – Journal of American College Health, 2024
Objective: Homesickness among university students may impact their wellbeing and academic success. The study purpose was to examine homesickness and self-reported outcomes/university life events among students on a rural Appalachian campus. Methods: A descriptive study (N = 91) using electronic questionnaires was conducted. Results: Most…
Descriptors: College Students, Universities, Student Attitudes, Adjustment (to Environment)