NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1 to 15 of 6,247 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mesut Kurulgan – Turkish Online Journal of Distance Education, 2024
The purpose of this study is to examine research on school dropout in open and distance education in the Web of Science (WoS) database using bibliometric analysis and to reveal trends in this area. In line with this goal, a total of 1,615 studies published between 1980 and 2022 were identified in the Web of Science (WoS) indexes. Descriptive and…
Descriptors: College Students, Higher Education, Dropouts, Dropout Research
Peer reviewed Peer reviewed
Direct linkDirect link
Jo Hawkins-Jones; Myron B. Labat; Stacy Reeves; Kaleb L. Briscoe – Urban Review: Issues and Ideas in Public Education, 2024
This study captures the stories of adult Black men from an urban area plagued by generational poverty and low educational attainment. Narrative semi-structured interviews were employed to examine their stories, the factors that contributed to their identities as students, and their decision to drop out of school. Using the cool pose theory (Major…
Descriptors: African Americans, Males, Adults, Dropouts
Peer reviewed Peer reviewed
Direct linkDirect link
Antoni Cerdà-Navarro; Elena Quintana-Murci; Francesca Salvà-Mut – Journal of Vocational Education and Training, 2024
This article analyses the main reasons for dropping out of Spanish Intermediate Vocational Education (IVET) and the link to personal (sex, ethnicity, age), family (parents' educational level) and financial sociodemographic characteristics, as well as academic background (repeating or expulsion). To do this, a cohort of IVET students was monitored…
Descriptors: Foreign Countries, Vocational Education, Dropouts, Dropout Characteristics
Peer reviewed Peer reviewed
Direct linkDirect link
Xinhong Zhang; Xiangyu Wang; Jiayin Zhao; Boyan Zhang; Fan Zhang – IEEE Transactions on Education, 2024
Contribution: This study proposes a student dropout prediction model, named image convolutional and bi-directional temporal convolutional network (IC-BTCN), which makes dropout prediction for learners based on the learning clickstream data of students in massive open online courses (MOOCs) courses. Background: The MOOCs learning platform attracts…
Descriptors: MOOCs, Dropout Characteristics, Dropout Research, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Evi Schmid; Gøril Stokke Nordlie; Beate Jørstad – Vocations and Learning, 2024
In many countries with apprenticeship-based vocational education and training (VET), dropout from apprenticeship training is a major concern. Leaving an apprenticeship early can be problematic, particularly for young people who do not continue their training at another company or in another occupation, and drop out of the education system without…
Descriptors: Workplace Learning, Work Environment, Vocational Education, Apprenticeships
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Desai, Rachana; Magan, Ansuyah; Maposa, Innocent; Ruiter, Robert; Rochat, Tamsen; Mercken, Liesbeth – Youth & Society, 2024
The majority of adolescents communicate via text-based messaging, particularly through WhatsApp, a widely used free communication application. Written content on WhatsApp has the methodological potential to provide rich qualitative interview data. This study compares data collected using text-based WhatsApp versus face-to-face interview…
Descriptors: Comparative Analysis, Data Collection, Computer Mediated Communication, Dropouts
Peer reviewed Peer reviewed
Direct linkDirect link
Dustin K. Grabsch; Lauren Sutro O'Brien; Caroline Kirschner; Dedeepya Chinnam; Zak Waddell; Ryan Leibowitz; Michelle Madsen – Journal of College Student Retention: Research, Theory & Practice, 2024
Success for 4-year universities is often measured by graduation and retention rates; however, gaps exist in understanding nonreturning students at private institutions. Recent research is helping to build the lexicon of drop-outs, stop-outs, opt-outs, and transfer-outs to inform strategic retention initiatives. Using an action research method, we…
Descriptors: Stopouts, Dropouts, Dropout Characteristics, Student Attrition
Peer reviewed Peer reviewed
Direct linkDirect link
Oscar Espinoza; Luis Sandoval; Luis González; Karina Maldonado; Yahira Larrondo; Bruno Corradi – Educational Review, 2025
Students who drop out of university cite various reasons for their decision. Female enrolment has significantly increased over the past few decades and is now higher than male enrolment. In terms of performance, it is recognised that women perform better than males do, and fewer women drop out of university than men do. However, the relationship…
Descriptors: Dropouts, College Students, Gender Differences, Dropout Characteristics
Peer reviewed Peer reviewed
Direct linkDirect link
Thao-Trang Huynh-Cam; Long-Sheng Chen; Tzu-Chuen Lu – Journal of Applied Research in Higher Education, 2025
Purpose: This study aimed to use enrollment information including demographic, family background and financial status, which can be gathered before the first semester starts, to construct early prediction models (EPMs) and extract crucial factors associated with first-year student dropout probability. Design/methodology/approach: The real-world…
Descriptors: Foreign Countries, Undergraduate Students, At Risk Students, Dropout Characteristics
Peer reviewed Peer reviewed
Direct linkDirect link
Robin Clausen – AASA Journal of Scholarship & Practice, 2024
Policy research established that it is possible to predict a student will drop out of school based on academic, attendance, behavior indicators. Little is known about the processes that put Early Warning Systems (EWS) in place. This case study of the Montana EWS describes the characteristics of a statewide implementation, the efficiency of the EWS…
Descriptors: Dropout Prevention, High School Students, Graduation, Graduation Rate
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  417