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Xavier, Marlon; Meneses, Julio – International Review of Research in Open and Distributed Learning, 2021
Flexibility is typical of open universities and their e-learning designs. While this constitutes their main attraction, promising learners will be able to study "anytime, anyplace," this also demands more self-regulation and engagement, a cause for student dropout. This case study explores professors' experiences of flexibility in…
Descriptors: Foreign Countries, Open Universities, Dropouts, Instructional Design
Martínez-Carrascal, Juan Antonio; Hlosta, Martin; Sancho-Vinuesa, Teresa – International Review of Research in Open and Distributed Learning, 2023
High dropout rates constitute a major concern for higher education institutions, due to their economic and academic impact. The problem is particularly relevant for institutions offering online courses, where withdrawal ratios are reported to be higher. Both the impact and these high rates motivate the implementation of interventions oriented to…
Descriptors: College Students, Online Courses, Withdrawal (Education), At Risk Persons
Hu, Yung-Hsiang – International Review of Research in Open and Distributed Learning, 2022
Early warning systems (EWSs) have been successfully used in online classes, especially in massive open online courses, where it is nearly impossible for students to interact face-to-face with their teachers. Although teachers in higher education institutions typically have smaller class sizes, they also face the challenge of being unable to have…
Descriptors: Dropout Prevention, At Risk Students, Online Courses, Private Colleges
Rodríguez, M. Elena; Guerrero-Roldán, Ana Elena; Baneres, David; Karadeniz, Abdulkadir – International Review of Research in Open and Distributed Learning, 2022
This work discusses a nudging intervention mechanism combined with an artificial intelligence (AI) system for early detection of learners' risk of failing or dropping out. Different types of personalized nudges were designed according to educational principles and the learners' risk classification. The impact on learners' performance, dropout…
Descriptors: Artificial Intelligence, Electronic Learning, College Students, Intervention
Kang, In Gu – International Review of Research in Open and Distributed Learning, 2020
Massive open online courses (MOOCs) have been touted as an effective way to make higher education accessible for free or for only a small fee, thus addressing the problem of unequal access and providing new opportunities to young people in middle and low income groups. However, many critiques of MOOCs have indicated that low completion rates are a…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
Brubacher, Michael R.; Silinda, Fortunate T. – International Review of Research in Open and Distributed Learning, 2019
Dropout rates of distance education students is a serious problem for many distance education institutions as well as their students. A psychological factor that is related to dropout is the academic persistence of students, or their intent to finish their degrees. One factor that could predict academic persistence, which is often used to identify…
Descriptors: Positive Attitudes, Predictor Variables, Academic Persistence, Distance Education
Rashid, Mohammad Mamunur; Jahan, Monira; Islam, Md. Anwarul; Ratna, Meherin Munjarin – International Review of Research in Open and Distributed Learning, 2015
The aim of this study is to investigate the present status of DCSA program focusing on student enrollment, dropout, and completion trends. The study tries to explore the factors that attract or pull students to enroll in the program and push them to dropout from the program. Secondary data analysis and interview are used to generate data of the…
Descriptors: Foreign Countries, Computer Science Education, Open Universities, Open Education