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Huo, Yang; Messenger, Rachel Anna; Miller, Doug – Higher Education, Skills and Work-based Learning, 2022
Purpose: This paper aims to address the issue of why students want to drop out from a course and suggests appropriate strategies to enhance student retention. Design/methodology/approach: A sample of 260 hospitality management students were surveyed based on both Tinto's model of student-institution integration and a theory of planned behavior on…
Descriptors: Student Attitudes, Dropout Attitudes, School Holding Power, Hospitality Occupations
Yusuf Canbolat – Educational Evaluation and Policy Analysis, 2025
Many schools across the United States use the Early Warning System (EWS) to identify chronically absent students on time and intervene. The prediction power of the EWS is well examined but more evidence is needed about their effectiveness at reducing student absence. This study examines the effect of EWS on student absence in a large urban school…
Descriptors: Dropout Prevention, Attendance, Urban Schools, Advantaged
Feifei Bu; Alexandru Cernat; Andrew Steptoe; Daisy Fancourt – Field Methods, 2025
This article examines factors associated with survey attrition/retention in an online panel survey with weekly/monthly follow-ups during the COVID-19 pandemic. It also explores the effectiveness of making contact with dropout participants and factors associated with sample re-engagement, as well as motivations and barriers to maintaining survey…
Descriptors: Online Surveys, Attrition (Research Studies), COVID-19, Pandemics
Dorothea Glaesser; Christopher Holl; Julia Malinka; Laura McCullagh; Lydia Meissner; Nicole Syringa Harth; Maya Machunsky; Kristin Mitte – Social Psychology of Education: An International Journal, 2024
Disengagement is a concept that captures the gradual behavioral, affective, and cognitive distancing from school, and is thus an early indicator of students being at risk for dropout. Based on a social identity framework, we predicted that higher social identification with the class and a positive classroom climate would be associated with lower…
Descriptors: Learner Engagement, Social Environment, At Risk Students, Educational Environment
Tim Baalmann; Ana Brömmelhaus; Julika Hülsemann; Michael Feldhaus; Karsten Speck – Journal of College Student Retention: Research, Theory & Practice, 2024
The importance of close social contacts in the educational process has been widely documented, but mainly for the school sector. The present article examines the importance of close relationships on university students' dropout tendencies. Using longitudinal panel data collected at a medium-sized German university, students (N = 7,169) were…
Descriptors: Foreign Countries, Parent Influence, Peer Influence, Intention
Geisler, Sebastian; Rach, Stefanie; Rolka, Katrin – Educational Studies in Mathematics, 2023
The transition from school to university mathematics is a challenging process for many students, which is reflected in high dropout rates during the first year at university. Using mediation analysis, we want to shed light on the role of students' attitudes towards mathematics--especially their interest in mathematics and their mathematical…
Descriptors: College Mathematics, Student Attitudes, Academic Achievement, Student Satisfaction
Zoltán Hermann; Dániel Horn – Education Economics, 2023
The paper studies a unique education reform that decreased the length of secondary-level vocational education from 4 to 3 years, reducing the time spent on general subjects while keeping the time spent on vocational training. We use a difference-in-difference strategy by comparing reformed schools with early adopters before and after the reform.…
Descriptors: Foreign Countries, Vocational Education, Secondary School Students, Job Skills
Lana Van Den Berghe; Jan Naert; Stijn Vandevelde; Sarah S. W. De Pauw – European Journal of Education, 2024
In many Western societies, earning a degree is considered an ultimate educational achievement. Second chance education (SCE) serves as a distinct pathway for those who have dropped out of school, allowing them to re-enter the educational system. Understanding the specific obstacles and needs of students in SCE is crucial for providing…
Descriptors: Reentry Students, Dropouts, Adult Education, Barriers
Senthil Kumaran, V.; Malar, B. – Interactive Learning Environments, 2023
Churn in e-learning refers to learners who gradually perform less and become lethargic and may potentially drop out from the course. Churn prediction is a highly sensitive and critical task in an e-learning system because inaccurate predictions might cause undesired consequences. A lot of approaches proposed in the literature analyzed and modeled…
Descriptors: Electronic Learning, Dropouts, Accuracy, Classification
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
Atella, Julie – Wilder Research, 2019
The purpose of Diploma On! is to re-engage students who have dropped out of school within member districts and ultimately increase the graduation rate in Hennepin County, Minnesota. Staff from the program obtains contact information for students from identified referral staff within each district, normally after a 15-day drop. Next, they contact…
Descriptors: Dropouts, Graduation Rate, Dropout Prevention, Dropout Programs
de Andrade, Tiago Luís; Rigo, Sandro José; Barbosa, Jorge Luis Victória – Informatics in Education, 2021
Distance Learning has enabled educational practices based on digital platforms, generating massive amounts of data. Several initiatives use this data to identify dropout contexts, mainly providing teacher support about student behavior. Approaches such as Active Methodologies are known as having good potential to involve and motivate students.…
Descriptors: Learning Analytics, Distance Education, Dropout Prevention, Data Analysis
Jing Chen; Zhuo Wang; Li Zhang; Yujia Zhao; Yongjun Ma – Journal of Education for Teaching: International Research and Pedagogy, 2025
To attract and retain rural teachers, the Chinese government has piloted the Free Teacher Education Programme (FTEP) since 2007. Examining the FTEP participants' intentions and reasons for default helps stakeholders make effective and timely adjustments to existing policies and regulations so that more capable preservice teachers may be retained…
Descriptors: Foreign Countries, Preservice Teachers, Teacher Education Programs, Rural Education
Zhenjiao Chen; Miao Liu; Ruoxin Zhou – British Journal of Educational Technology, 2025
High dropout rates and low pass rates are prevalent problems encountered by online learning platforms, which greatly hinder the development of online education. Drawing upon the theory of attention allocation, this study aimed to investigate the factors influencing the effectiveness of Massive Open Online Courses (MOOCs), as well as the potential…
Descriptors: MOOCs, Instructional Effectiveness, Foreign Countries, Educational Quality
Jose Eos Trinidad – Educational Evaluation and Policy Analysis, 2025
This paper examines how relationships among government and "outside" organizations influenced policy implementation of new dropout prediction data systems. Using comparative historical and network analyses of three cities, I suggest the concept of interorganizational coupling--highlighting how the dependence and (in)formal collaborations…
Descriptors: Educational Policy, Networks, Institutional Cooperation, Dropout Prevention

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