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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
Xiao Wen; Hu Juan – Interactive Learning Environments, 2024
To address three issues identified in previous research this study proposes a clustering-based MOOC dropout identification method and an early prediction model based on deep learning. The MOOC learning behavior of self-paced students was analyzed, and two well-known MOOC datasets were used for analysis and validation. The findings are as follows:…
Descriptors: MOOCs, Dropouts, Dropout Characteristics, Dropout Research
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
Krötz, Maximilian; Deutscher, Viola – Empirical Research in Vocational Education and Training, 2022
Despite high drop-out rates from vocational education and training (VET) throughout most countries and a long research tradition on potential drop-out reasons, little is known about the effects exerted on drop-out intentions by the quality of training. Furthermore, only rarely do scholars distinguish between different drop-out directions, and…
Descriptors: Dropouts, Vocational Education, Intention, Dropout Research
Marcell Nagy; Roland Molontay – International Journal of Artificial Intelligence in Education, 2024
Student drop-out is one of the most burning issues in STEM higher education, which induces considerable social and economic costs. Using machine learning tools for the early identification of students at risk of dropping out has gained a lot of interest recently. However, there has been little discussion on dropout prediction using interpretable…
Descriptors: Dropout Characteristics, Dropout Research, Intervention, At Risk Students
Naaman, Hind – European Educational Researcher, 2021
Higher education dropout has been considered a major concern for several researchers in the field of education around the World. Although different studies were carried out to deal with the topic, they all faced common limitations. This paper explores the twofold research conducted to investigate higher education dropout in Education studies at…
Descriptors: Dropouts, Dropout Research, Foreign Countries, College Students
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
Lim, Patrick – National Centre for Vocational Education Research (NCVER), 2022
School non-completion and non-completers' subsequent pathways into employment or back into education are enduring issues for policy-makers in Australia. Understanding the factors that predict a higher probability of leaving school before completing Year 12, as well as those that increase the chance of reengaging with education, can inform action…
Descriptors: Foreign Countries, Reentry Students, Vocational Education, Parent Influence
Meadows, Meredith L.; Suiter, Sarah V.; Sealy, Linda J.; Marshall, Dana R.; Whalen, Margaret M.; Adunyah, Samuel E. – CBE - Life Sciences Education, 2022
This study examined longitudinal education and career outcomes of the Meharry-Vanderbilt-Tennessee State University Cancer Partnership, the longest-running National Cancer Institute (NCI) Comprehensive Partnerships in Advancing Cancer Health Equity (CPACHE) program site in the United States. Degree completion rates were calculated and progression…
Descriptors: College Students, Oncology, Academic Achievement, Outcomes of Education
Lewis, Kendra M.; Ewers, Timothy; Miller, JoLynn C.; Bird, Marianne; Borba, John; Hill, Russell D.; Rea-Keywood, Jeannette; Shelstad, Nancy; Trzesniewski, Kali – Journal of Extension, 2018
Research on retention in the 4-H youth development program has consistently shown that one of the primary indicators for youths' dropping out of 4-H is being a first-year member. Extension 4-H professionals from California, Idaho, Wyoming, and New Jersey formed a team to study this issue. Our team surveyed first-year members and their…
Descriptors: Youth Programs, Academic Persistence, School Holding Power, Dropout Research
Vallée, Daniel; Ruglis, Jessica – Educational Studies: Journal of the American Educational Studies Association, 2017
This article discusses how student disengagement is conceptualized by English-speaking youth attending English urban public schools in Montreal, Quebec. School dropout is theorized as being a culminating event in a process of school disengagement (Rumberger, 2011). Using 2 qualitative methods (maps and interviews) in a grounded theory approach…
Descriptors: Foreign Countries, Student Participation, Qualitative Research, Secondary School Students
Bryk, Anthony S.; Thum, Yeow Meng – Consortium for Policy Research in Education, 2017
This paper examines the effects of school characteristics on both the probability of dropping out and the strongest predictor of dropping out -- absenteeism. The authors employ a sub-sample from the High School and Beyond (HS&B) database which contains results of background questionnaires and standardized achievement tests given in 1980 to…
Descriptors: Attendance, Disadvantaged Youth, Dropout Characteristics, Dropout Prevention
Gairín, Joaquín; Triado, Xavier M.; Feixas, Mònica; Figuera, Pilar; Aparicio-Chueca, Pilar; Torrado, Mercedes – Quality in Higher Education, 2014
Data from over 21,600 students who left Catalan higher education institutions during the academic years 2000-2001 and 2001-2002 have been analysed in order to describe the academic and personal profiles of university dropouts. Additionally, a telephone survey and face-to-face interviews with a pilot group of leavers were conducted to gather…
Descriptors: Foreign Countries, Higher Education, Dropout Rate, Dropout Characteristics
Goodman, Christie L., Ed. – Intercultural Development Research Association, 2018
Since creating the first comprehensive study of school dropouts in Texas in 1985-86, the Intercultural Development Research Association (IDRA) has conducted attrition analyses to assess schools' abilities to hold on to their students until they graduate. This year's study is the 33rd in a series of annual reports on trends in dropout and attrition…
Descriptors: Public Schools, Student Attrition, Dropout Rate, Dropout Research
Sekiya, Takeshi; Ashida, Akemi – Journal of Latinos and Education, 2017
This study hypothesized that repeating a grade is one reason why Honduran primary students drop out of school but not the main reason. Using longitudinal data, we analyzed student enrollment patterns up until students left school. The results revealed that many students dropped out suddenly without having previously repeated a grade, although many…
Descriptors: Foreign Countries, Elementary Schools, Dropout Rate, Dropout Research