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Melisa Diaz Lema; Melvin Vooren; Marta Cannistrà; 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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Edwin Buenaño; María José Beletanga; Mónica Mancheno – Journal of Latinos and Education, 2024
University dropout is a serious problem in higher education that is increasingly gaining importance, as it is essential to understand its causes and search for public and institutional policies that can help reduce it. This research uses conventional and extended Cox survival models to analyze the factors behind dropout rates at a co-financed…
Descriptors: Foreign Countries, College Students, Dropouts, Dropout Rate
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Chiara Masci; Marta Cannistrà; Paola Mussida – Studies in Higher Education, 2024
This paper investigates the student dropout phenomenon in a technical Italian university from a time-to-event perspective. Shared frailty Cox time-dependent models are applied to analyse the careers of students enrolled in different engineering programs with the aim of identifying the determinants of student dropout through time, predicting the…
Descriptors: Foreign Countries, Dropouts, Dropout Prevention, Potential Dropouts
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Mesut Kurulgan – Turkish Online Journal of Distance Education, 2024
The purpose of this study is to examine research on school dropout in open and distance education in the Web of Science (WoS) database using bibliometric analysis and to reveal trends in this area. In line with this goal, a total of 1,615 studies published between 1980 and 2022 were identified in the Web of Science (WoS) indexes. Descriptive and…
Descriptors: College Students, Higher Education, Dropouts, Dropout Research
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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
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Dustin K. Grabsch; Lauren Sutro O'Brien; Caroline Kirschner; Dedeepya Chinnam; Zak Waddell; Ryan Leibowitz; Michelle Madsen – Journal of College Student Retention: Research, Theory & Practice, 2024
Success for 4-year universities is often measured by graduation and retention rates; however, gaps exist in understanding nonreturning students at private institutions. Recent research is helping to build the lexicon of drop-outs, stop-outs, opt-outs, and transfer-outs to inform strategic retention initiatives. Using an action research method, we…
Descriptors: Stopouts, Dropouts, Dropout Characteristics, Student Attrition
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Oscar Espinoza; Luis Sandoval; Luis González; Karina Maldonado; Yahira Larrondo; Bruno Corradi – Educational Review, 2025
Students who drop out of university cite various reasons for their decision. Female enrolment has significantly increased over the past few decades and is now higher than male enrolment. In terms of performance, it is recognised that women perform better than males do, and fewer women drop out of university than men do. However, the relationship…
Descriptors: Dropouts, College Students, Gender Differences, Dropout Characteristics
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Thao-Trang Huynh-Cam; Long-Sheng Chen; Tzu-Chuen Lu – Journal of Applied Research in Higher Education, 2025
Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…
Descriptors: Foreign Countries, Undergraduate Students, At Risk Students, Dropout Characteristics
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Talamás-Carvajal, Juan Andrés; Ceballos, Héctor G. – Education and Information Technologies, 2023
Early dropout of students is one of the bigger problems that universities face currently. Several machine learning techniques have been used for detecting students at risk of dropout. By using sociodemographic data and qualifications of the previous level, the accuracy of these predictive models is good enough for implementing retention programs.…
Descriptors: College Students, Dropout Prevention, At Risk Students, Identification
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Tomasz Zajac; Francisco Perales; Wojtek Tomaszewski; Ning Xiang; Stephen R. Zubrick – Higher Education: The International Journal of Higher Education Research, 2024
Understanding the drivers of student dropout from higher education has been a policy concern for several decades. However, the contributing role of certain factors--including student mental health--remains poorly understood. Furthermore, existing studies linking student mental health and university dropout are limited in both methodology and…
Descriptors: Foreign Countries, Mental Health, Dropout Characteristics, Dropout Prevention
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Pedro Ricardo Álvarez-Pérez; David López-Aguilar; María Olga González-Morales; Rocío Peña-Vázquez – Journal of College Student Retention: Research, Theory & Practice, 2024
The relationship between engagement and the intention to drop out was the focus of this research. Following an empirical-analytical approach, a sample of 1,122 university students responded to a questionnaire designed to measure the engagement and the intention to drop out of school. The results confirmed that undergraduates who considered…
Descriptors: Undergraduate Students, Learner Engagement, Dropout Attitudes, Dropout Prevention
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Gabriella M. Sallai; Catherine G. P. Berdanier – Journal of Engineering Education, 2024
Background: Although most engineering graduate students are funded and usually complete their degrees faster than other disciplines, attrition remains a problem in engineering. Existing research has explored the psychological and sociological factors contributing to attrition but not the structural factors impacting attrition. Purpose/Hypothesis:…
Descriptors: Engineering Education, Student Attrition, Dropouts, Dropout Characteristics
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Mareike Rußmann; Nicolai Netz; Markus Lörz – Higher Education: The International Journal of Higher Education Research, 2024
We examine the mechanisms explaining the dropout intentions of students with disabilities by integrating Tinto's model of student integration, the student attrition model, the composite persistence model, and insights from social stratification research. The resulting theoretical model posits that not only students' academic and social…
Descriptors: Foreign Countries, Students with Disabilities, Higher Education, Dropout Characteristics
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Lira Isis Valencia Quecano; Alfredo Guzmán Rincón; Sandra Barragán Moreno – Cogent Education, 2024
Postgraduate education has become increasingly crucial for nations in recent years, contributing to scientific, technological, and social progress. However, high dropout rates may undermine the benefits of postgraduate education. This study aims to identify which individual, academic, socio-economic, and institutional variables influence student…
Descriptors: Dropouts, Graduate Study, Student Attrition, Doctoral Programs
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Yaritza Garcés-Delgado; Mª. Inmaculada Fernández-Esteban; Pedro R. Álvarez-Pérez; Sara Conde-Vélez – European Journal of Education, 2024
The academic dropout of higher education students represents one of the most significant challenges that university institutions have to face today. This research analysed the university academic trajectory of students who dropped out of university for good. The aim of this paper is to examine in depth the factors that influence the idea of the…
Descriptors: Higher Education, Dropouts, Adjustment (to Environment), Foreign Countries
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