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Yeung, Ryan – Journal of School Health, 2020
Background: This study investigates how the Medicaid Expansion of the Affordable Care Act affected state high school dropout rates. Methods: This study relies on a differences-in-differences estimation strategy that is common in program evaluation, especially in education. This method replicates in a regression framework a classic pre-test…
Descriptors: Federal Legislation, Dropouts, Health Insurance, High School Students
Dawson, Rachel Fulcher; Kearney, Melissa S.; Sullivan, James X. – National Bureau of Economic Research, 2020
We describe the challenge of college non-completion in the U.S. and a variety of explanations for the high rate of non-completion. We then provide an overview of the implementation of and evidence from eight specific college completion interventions designed to increase college completion rates through a comprehensive set of services. The eight…
Descriptors: Graduation Rate, College Graduates, Dropouts, Intervention
Maren Stabel Tvedt; Kati Vasalampi; Tuomo Virtanen – European Journal of Psychology of Education, 2025
Student engagement is critical for learning and adjustment, but poor personal resources, such as low academic self-concept and mental health problems, can impede the individual's capacity to engage in academic activities. The present study's main aim was to investigate whether student-perceived emotional support from teachers in upper secondary…
Descriptors: Teacher Student Relationship, Learner Engagement, Secondary School Students, Secondary School Teachers
Pikkarainen, Merja Tellervo; Hakala, Juha T.; Kykyri, Virpi-Liisa – International Journal of Educational Psychology, 2021
The present study aims to provide insights into the experiences of early school leavers within the Finnish context. We conducted a narrative inquiry among eleven early school leavers who were in prison when they were interviewed. Self Determination Theory (SDT), more specifically the concept of frustration of the three basic psychological needs of…
Descriptors: Dropouts, Dropout Attitudes, Foreign Countries, Self Determination
Maguire, Sue – Journal of Education and Work, 2021
While measures to combat 'Early Leaving' (EL) have been widely adopted internationally, as a means of curbing rates of economic and social exclusion among young people, the term itself is not widely utilised across the UK. That is not to say that measuring and reducing the number of young people who drop out of education (or training) before…
Descriptors: Foreign Countries, Dropouts, Out of School Youth, Compulsory Education
Tim Baalmann – Research in Higher Education, 2024
One in three students suffers from at least one common mental disorder highlighting the high prevalence of health issues in higher education. At the same time, every third student drops out of university without achieving their degrees. Nevertheless, connections between health and students' dropout behavior have hardly been investigated. Grounding…
Descriptors: Foreign Countries, Mental Disorders, Dropouts, Student Behavior
Meriem Zerkouk; Miloud Mihoubi; Belkacem Chikhaoui; Shengrui Wang – Education and Information Technologies, 2024
School dropout is a significant issue in distance learning, and early detection is crucial for addressing the problem. Our study aims to create a binary classification model that anticipates students' activity levels based on their current achievements and engagement on a Canadian Distance learning Platform. Predicting student dropout, a common…
Descriptors: Artificial Intelligence, Dropouts, Prediction, Distance Education
Brian Johnson; Amy L. Reschly; Roy P. Martin; Christopher Pinzone; James J. Appleton – Journal of Education for Students Placed at Risk, 2024
Theories of student engagement for dropout and school completion are proposed to begin as early as age five. Student engagement in elementary-age students has been linked to school completion, post-secondary education, and achievement. However, there is little research examining patterns and profiles of student engagement in this population. In an…
Descriptors: Elementary School Students, Grade 3, Learner Engagement, Student Characteristics
Jing Chen; Bei Fang; Hao Zhang; Xia Xue – Interactive Learning Environments, 2024
High dropout rate exists universally in massive open online courses (MOOCs) due to the separation of teachers and learners in space and time. Dropout prediction using the machine learning method is an extremely important prerequisite to identify potential at-risk learners to improve learning. It has attracted much attention and there have emerged…
Descriptors: MOOCs, Potential Dropouts, Prediction, Artificial Intelligence
Buyruk Genç, Arzu; Amanvermez, Yagmur; Zeren, Serife Gonca; Erus, Seher Merve – Pegem Journal of Education and Instruction, 2019
In this study, dropout from counseling sessions were investigated in order to examine the underlying causes of dropout. Forty-five university students who applied for counseling but dropped out after the preliminary interview or after any of the sessions participated in the study. The data of the research were collected by Counseling Dropout…
Descriptors: Counseling, Dropouts, College Students, Client Characteristics (Human Services)
Barragán, Sandra; González, Leandro; Calderón, Gloria – Interchange: A Quarterly Review of Education, 2022
A combination of mathematical and statistical modelling techniques may be used to analyse student dropout behaviour. The aim of this study is to combine Survival Analysis and Analytic Hierarchy Process methodologies when identifying students at-risk of dropping out. This combination favours the institutional understanding of dropout as a dynamic…
Descriptors: Undergraduate Students, Gender Differences, Age Differences, Decision Making
De Silva, Liyanachchi Mahesha Harshani; Chounta, Irene-Angelica; Rodríguez-Triana, María Jesús; Roa, Eric Roldan; Gramberg, Anna; Valk, Aune – Journal of Learning Analytics, 2022
Although the number of students in higher education institutions (HEIs) has increased over the past two decades, it is far from assured that all students will gain an academic degree. To that end, institutional analytics (IA) can offer insights to support strategic planning with the aim of reducing dropout and therefore of minimizing its negative…
Descriptors: College Students, Dropouts, Dropout Prevention, Data Analysis
Buzgar, Ramona; Opre, Dana; Pintea, Sebastian; Opre, Adrian – Journal of Educational Sciences, 2021
Remedial activities are considered by many authors as an effective strategy for preventing and reducing school dropout. In recent years however, numerous studies showed evidence that we cannot point to one factor that influences the decision to leave school and to only one strategy to prevent or reduce it. Meanwhile the results in the field of…
Descriptors: Foreign Countries, Dropouts, Dropout Prevention, Remedial Instruction
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
Wild, Steffen; Grassinger, Robert – British Journal of Educational Psychology, 2023
Background: Starting a study programme at an university, students are confronted with rising requirements regulating their learning processes and motivation. Both difficulties due to this regulation and the quality of instruction are associated with students dropping out from a study programme in the research. Aims: The purpose of this research is…
Descriptors: Learning Strategies, Self Management, Student Motivation, Academic Achievement