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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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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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Dahir Abdi Ali; Ali Mohamud Hussein – Journal of Applied Research in Higher Education, 2024
Purpose: The main purpose of this study is to evaluate the extent of dropout students and identify the relationship between risk factors of dropout and the survival time of students. Design/methodology/approach: The Kaplan-Meier estimator (KM), also known as the product-limit technique, is a nonparametric model function that is commonly used in…
Descriptors: Foreign Countries, College Students, At Risk Students, Potential Dropouts
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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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Chuan Cai; Adam Fleischhacker – Journal of Educational Data Mining, 2024
We propose a novel approach to address the issue of college student attrition by developing a hybrid model that combines a structural neural network with a piecewise exponential model. This hybrid model not only shows the potential to robustly identify students who are at high risk of dropout, but also provides insights into which factors are most…
Descriptors: College Students, Student Attrition, Dropouts, Potential Dropouts
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Zühlke, Anne; Kugler, Philipp; Hackenberger, Armin; Brändle, Tobias – Education Economics, 2022
We analyse the economic returns in lifetime labour income of various educational paths in Germany. Using recent data, we calculate cumulative labour earnings at different ages and for different educational paths while controlling the parental background of individuals. We find that after the age of 55, lifetime labour income is higher for…
Descriptors: Foreign Countries, College Students, Potential Dropouts, Dropouts
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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
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Van Den Berghe, Lana; Vandevelde, Stijn; De Pauw, Sarah S. W. – Teachers and Teaching: Theory and Practice, 2022
School attendance problems and school dropout are recognised as a major concern by researchers, policymakers, practitioners and the wider society. Although research acknowledges the multi-faceted complexity of dropping out of school, only a limited number of studies have focused on the perspective of support workers (e.g., teachers, social…
Descriptors: Foreign Countries, Secondary School Teachers, Social Work, Caseworkers
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Cannistrà, Marta; Masci, Chiara; Ieva, Francesca; Agasisti, Tommaso; Paganoni, Anna Maria – Studies in Higher Education, 2022
This paper combines a theoretical-based model with a data-driven approach to develop an Early Warning System that detects students who are more likely to dropout. The model uses innovative multilevel statistical and machine learning methods. The paper demonstrates the validity of the approach by applying it to administrative data from a leading…
Descriptors: Dropouts, Potential Dropouts, Dropout Prevention, Dropout Characteristics
Cerutti, Paula; Crivellaro, Elena; Reyes, Germán; Sousa, Liliana D. – World Bank, 2018
How do labor income shocks affect household investment in upper secondary and tertiary schooling? Using longitudinal data from 2005-15 for Argentina, Brazil, and Mexico, this paper explores the effect of a negative household income shock on the enrollment status of youth ages 15 to 25. The findings suggest that negative income shocks significantly…
Descriptors: Foreign Countries, Family Income, Dropouts, Economic Factors
Texas Education Agency, 2022
The "2022 Comprehensive Biennial Report on Texas Public Schools" describes the status of Texas public education, as required by §39.332 of the Texas Education Code. The report contains 16 chapters on the following topics: (1) state progress on academic performance indicators; (2) student performance on state assessments; (3) performance…
Descriptors: Public Schools, Academic Achievement, Educational Assessment, At Risk Students
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Gelman, Ben; Revelle, Matt; Domeniconi, Carlotta; Johri, Aditya; Veeramachaneni, Kalyan – International Educational Data Mining Society, 2016
Recent studies of MOOCs demonstrate their ability to reach a large number of users, but also caution against the high rate of dropout. Some have looked closely at MOOC participation in order to better understand how and when users start to disengage, and, if they remain engaged, in what activities they participate. Most of this prior work relies…
Descriptors: Large Group Instruction, Online Courses, Student Behavior, Learner Engagement
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Adelman, Melissa A.; Székely, Miguel – European Journal of Educational Research, 2017
School dropout is a growing concern in Central America, and in Latin America as a whole, because of its consequences for economic productivity, the inclusiveness of growth, social cohesion, and increasing youth risks. This paper utilizes more than two decades of household survey data to construct a systematic overview of school dropout at the…
Descriptors: Foreign Countries, Dropouts, Dropout Rate, Potential Dropouts
Texas Education Agency, 2020
The "2020 Comprehensive Biennial Report on Texas Public Schools" describes the status of Texas public education, as required by §39.332 of the Texas Education Code. The report contains 16 chapters on the following topics: (1) state progress on academic performance indicators; (2) student performance on state assessments; (3) performance…
Descriptors: Public Schools, Academic Achievement, Educational Assessment, At Risk Students
Texas Education Agency, 2019
The "2018 Comprehensive Biennial Report on Texas Public Schools" describes the status of Texas public education, as required by §39.332 of the Texas Education Code. The report contains 16 chapters on the following topics: (1) state progress on academic performance indicators; (2) student performance on state assessments; (3) performance…
Descriptors: Public Schools, Academic Achievement, Educational Assessment, At Risk Students
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