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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
Khoushehgir, Fatemeh; Sulaimany, Sadegh – Education and Information Technologies, 2023
In recent years, the rapid growth of Massive Open Online Courses (MOOCs) has attracted much attention for related research. Besides, one of the main challenges in MOOCs is the high dropout or low completion rate. Early dropout prediction algorithms aim the educational institutes to retain the students for the related course. There are several…
Descriptors: Prediction, Dropout Prevention, MOOCs, Dropout Rate
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
Baneres, David; Rodriguez-Gonzalez, M. Elena; Guerrero-Roldan, Ana Elena – IEEE Transactions on Learning Technologies, 2023
Course dropout is a concern in online higher education, mainly in first-year courses when different factors negatively influence the learners' engagement leading to an unsuccessful outcome or even dropping out from the university. The early identification of such potential at-risk learners is the key to intervening and trying to help them before…
Descriptors: Prediction, Models, Identification, Potential Dropouts
Sherma Fleming – ProQuest LLC, 2023
The number of students choosing to drop out of school before earning their high school diploma continues to rise at alarming numbers. These students cause educators to question what strategies can assist struggling learners with academic, behavioral, or health issues to increase their chances of completing high school. Many dropout prevention…
Descriptors: High School Students, Nontraditional Education, Nontraditional Students, Dropout Prevention
Roberts, Nicola – Journal of Further and Higher Education, 2023
Globally, statistical analyses have found a range of variables that predict the odds of first-year students failing to progress at their Higher Education Institution (HEI). Some of these studies have included students from a range of disciplines. Yet despite the rise in the number of criminology students in HEIs in the UK, little statistical…
Descriptors: Predictor Variables, Academic Achievement, Academic Failure, College Freshmen
Morgan A. Parker Money – ProQuest LLC, 2024
This study centered student perspectives from one high school in Southwest Washington on push out and push in factors related to high school leaving. While there has been significant research conducted on risk factors associated with early school leaving, there has been very little published research that centers student voice and their…
Descriptors: High School Students, Dropout Attitudes, Dropout Prevention, Potential Dropouts
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
Muench, Janice L. – ProQuest LLC, 2023
This research explores who is at risk of dropping out of high school and how collaborative Student Support Teams can contribute to students staying on track to graduate high school. The issue of student success is important because graduation is positively correlated with important life outcomes and ability to earn an adequate income in the labor…
Descriptors: High School Students, At Risk Students, Potential Dropouts, Dropout Characteristics
Stephanie A. Brown – ProQuest LLC, 2023
The purpose of this program evaluation was to evaluate the impact of CORE District's Breakthrough Success Community (BTSC) Program at an urban Title I high school located in Southern California. BTSC aims to improve the ninth-grade experience through a focus on five key change drivers and the implementation of improvement science. Through teacher…
Descriptors: Program Evaluation, Urban Schools, Disadvantaged Schools, High Schools
Abba Giza – Online Submission, 2021
This paper explores the factors contributing to high dropout rates in U.S. education, particularly in higher education, where 40% of students leave before completing their degrees. It examines causes such as financial difficulties, mental health issues, and lack of engagement, and discusses strategies to reduce dropouts. Key approaches include…
Descriptors: Dropout Rate, Dropout Prevention, College Students, Commuting Students
David N. Dawson Jr. – ProQuest LLC, 2023
The purpose of this paper was to investigate the interventions and strategies used with students considered at-risk of dropping out of high school in Missouri public high schools. Self-determination theory was used to explain how students became motivated to stay in school when their need for competence, connection, and autonomy are fulfilled.…
Descriptors: At Risk Students, Personal Autonomy, Competence, High Schools
Zengin, Mevsim – Shanlax International Journal of Education, 2021
The aim of this study is to determine the risk level of high school students for dropout. The sample of the research in the descriptive survey model consisted of 578 students studying in public high schools in the central districts of Mersin. The "School Dropout Risk Scale" was used as a data collection tool in the study. According to…
Descriptors: High School Students, At Risk Students, Potential Dropouts, Dropout Prevention
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
Nouwen, Ward; Clycq, Noel – European Journal of Psychology of Education, 2021
Tackling early leaving from education and training (ELET) is one of the headline targets for education policy in the European Union. Although ELET rates have been decreasing in most member states, male, socially disadvantaged and immigrant students remain overrepresented in ELET figures. Moreover, students in vocational tracks and students who…
Descriptors: Foreign Countries, At Risk Students, Potential Dropouts, Dropout Prevention