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Huo, Huade; Cui, Jiashan; Hein, Sarah; Padgett, Zoe; Ossolinski, Mark; Raim, Ruth; Zhang, Jijun – Journal of College Student Retention: Research, Theory & Practice, 2023
Student attrition represents one of the greatest challenges facing U.S. postsecondary institutions. Approximately 40 percent of students seeking a bachelor's degree do not graduate within 6 years; among nontraditional students, who make up half of the undergraduate population, dropout rates are even higher. In this study, we developed a machine…
Descriptors: Student Attrition, Postsecondary Education, Nontraditional Students, Dropout Rate
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Amir Mohammad Rahmani; Wim Groot; Hamed Rahmani – International Journal of Educational Technology in Higher Education, 2024
The increased availability of technology in higher education has led to the growth of online learning platforms. However, a significant concern exists regarding dropout rates in online higher education (OHE). In this ever-evolving landscape, student attrition poses a complex challenge that demands careful investigation. This systematic literature…
Descriptors: Dropout Rate, Student Attrition, Electronic Learning, Educational Technology
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Garyfalia Charitaki; Georgia Andreou; Anastasia Alevriadou; Spyridon-Georgios Soulis – Education and Information Technologies, 2024
While open and distance education gains growing recognition over time, it also faces increasing drop-out rates. Consequently, the development of predictive models for early identification of students at-risk for drop-out could be critical to promote ongoing engagement. This study aims to gain insights into the dropout prediction problem in a…
Descriptors: Prediction, Dropouts, Special Education, Open Universities
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Shiao, Yi-Tzone; Chen, Cheng-Huan; Wu, Ke-Fei; Chen, Bae-Ling; Chou, Yu-Hui; Wu, Trong-Neng – Smart Learning Environments, 2023
In recent years, initiatives and the resulting application of precision education have been applied with increasing frequency in Taiwan; the accompanying discourse has focused on identifying potential applications for artificial intelligence and how to use learning analytics to improve teaching quality and learning outcomes. This study used the…
Descriptors: Foreign Countries, Dropout Prevention, Models, Sustainability
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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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Carmen Pannone; Marta Pellegrini; Daniela Fadda; Amanda J. Neitzel; L. Francesca Scalas; Giuliano Vivanet; Ylenia Falzone – Society for Research on Educational Effectiveness, 2024
Background: Education plays a pivotal role in empowering individuals with the knowledge and skills needed for careers, economic progress, and societal engagement. Dropping out of school before achieving a qualification undermines these opportunities and has an impact on individuals and society (Audit Commission, 2010; OECD, 2023). International…
Descriptors: Elementary Secondary Education, Dropout Prevention, Dropout Programs, Dropout Rate
Jennifer L. Wilkinson – ProQuest LLC, 2023
The problem addressed in this study was the high dropout rate and the resulting low graduation rate in alternative virtual school settings. This quantitative correlational case study examined the influence of three instructional modalities on students' credit accrual and graduation rates in one alternative education virtual high school. The three…
Descriptors: High School Students, Credits, Graduation Rate, Electronic Learning
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Saleem Malik; K. Jothimani – Education and Information Technologies, 2024
Monitoring students' academic progress is vital for ensuring timely completion of their studies and supporting at-risk students. Educational Data Mining (EDM) utilizes machine learning and feature selection to gain insights into student performance. However, many feature selection algorithms lack performance forecasting systems, limiting their…
Descriptors: Algorithms, Decision Making, At Risk Students, Learning Management Systems
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Luis, Ricardo M. Meira Ferrão; Llamas-Nistal, Martin; Iglesias, Manuel J. Fernández – Smart Learning Environments, 2022
E-learning students have a tendency to get demotivated and easily dropout from online courses. Refining the learners' involvement and reducing dropout rates in these e-learning based scenarios is the main drive of this study. This study also shares the results obtained and crafts a comparison with new and emerging commercial solutions. In a…
Descriptors: Artificial Intelligence, Identification, Electronic Learning, Dropout Characteristics
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Lowder, Christopher; O'Brien, Chris; Hancock, Dawson; Hachen, Jeremy; Wang, Chuang – Urban Review: Issues and Ideas in Public Education, 2022
The transition into high school is a critical time to act for students with a history of academic difficulty. In this study, researchers examined the impact of a learning strategies intervention program called High School Success on performance of students demonstrating deficits in literacy and academic skills. Data were collected on performance…
Descriptors: High School Students, Academic Achievement, Learning Strategies, Intervention
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Said, Foued Ben – Journal for Critical Education Policy Studies, 2021
This study tries to determine the spatial factors that explain school dropout risk across Tunisian delegations. The spatial exploratory analysis allowed us to map the hotspots of school dropout risk. This phenomenon is spreading like a pandemic with spillover effects on neighboring delegations leading to high school dropout clusters probability in…
Descriptors: Dropouts, At Risk Students, Foreign Countries, Regional Characteristics
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Srairi, Samir – International Journal of Educational Reform, 2022
The purpose of this paper is to analyze the determinants of university dropout in the first year of bachelor programs at Tunisian universities. We consider 160 higher education institutions with an average of 671 bachelor study programs per year from 2013 to 2018. Using several econometric models (pooled ordinary least square, fixed effect model,…
Descriptors: Foreign Countries, Undergraduate Students, At Risk Students, Dropouts
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Voaide?-Cojan, Elena-Alina; Lazar, Theofild-Andrei – Journal of Educational Sciences, 2020
Higher education dropout, or abandonment, represents a contemporary worldwide socioeconomic problem that may be one of the main barriers in the future efforts of the younger generations to bring the world economy forward. Why do students leave higher education prematurely? What can be done to help solve this problem? Does our Higher Education…
Descriptors: Dropouts, Foreign Countries, Dropout Rate, Undergraduate Students
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Hulse, Rachel; Baergen, Emily – Educational Research: Theory and Practice, 2021
College freshmen experience unique stressors when transitioning from high school to college. In Idaho, the freshman attrition rate is higher than the national average, which may be partially explained by the higher prevalence of depression in this region. The current study investigated the potential of cortisol, a stress hormone, to be a biomarker…
Descriptors: Correlation, Incidence, Depression (Psychology), College Freshmen
Patricia Gándara; Lucrecia Santibañez; Jongyeon Ee; Julieta Rico – Civil Rights Project - Proyecto Derechos Civiles, 2023
Children of undocumented immigrants exist in permanent limbo. They are fearful every day that their parents will be deported and wondering if they have any future in the country. Many of these students identify as Latinx. Instead of focusing on their education, these students struggle with this uncertainty and as a result are often absent from…
Descriptors: Immigration, Law Enforcement, Equal Education, At Risk Students
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