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Nathalie Rzepka; Linda Fernsel; Hans-Georg Müller; Katharina Simbeck; Niels Pinkwart – Computer-Based Learning in Context, 2023
Algorithms and machine learning models are being used more frequently in educational settings, but there are concerns that they may discriminate against certain groups. While there is some research on algorithmic fairness, there are two main issues with the current research. Firstly, it often focuses on gender and race and ignores other groups.…
Descriptors: Algorithms, Artificial Intelligence, Models, Bias
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S. Sageengrana; S. Selvakumar; S. Srinivasan – Interactive Learning Environments, 2024
Students are termed "multitaskers," and it is likely that they easily fall prey to other subjects or topics that most interest them. They occasionally took heed or gave close and thoughtful attention to the lectures they were on. In the current educational system, our young generations receive materials from their leftovers, and their…
Descriptors: Electronic Learning, Dropouts, Student Behavior, Student Interests
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Feklistova, Lidia; Lepp, Marina; Luik, Piret – Education Sciences, 2021
In every course, there are learners who successfully pass assessments and complete the course. However, there are also those who fail the course for various reasons. One of such reasons may be related to success in assessment. Although performance in assessments has been studied before, there is a lack of knowledge on the degree of variance…
Descriptors: Online Courses, Educational Technology, Programming, Learner Engagement
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Siebra, Clauirton Albuquerque; Santos, Ramon N.; Lino, Natasha C. Q. – International Journal of Distance Education Technologies, 2020
This work proposes a dropout prediction approach that is able to self-adjust their outcomes at any moment of a degree program timeline. To that end, a rule-based classification technique was used to identify courses, grade thresholds and other attributes that have a high influence on the dropout behavior. This approach, which is generic so that it…
Descriptors: Dropouts, Predictor Variables, At Risk Students, Distance Education
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Okoye, Felix Ifeanyichukwu – International Journal of Education and Development using Information and Communication Technology, 2021
Apparently, the 'overwhelming' and abrupt changes and transformation that is on-going in teaching and learning at the higher education institutions (HEIs) due to COVID-19. Some learners are coping well, whilst the majority are grappling with the teaching and learning challenges as presented by COVID-19. Other learners (not would not) cannot cope…
Descriptors: Foreign Countries, COVID-19, Pandemics, College Students
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Friðriksdóttir, Kolbrún – Research-publishing.net, 2022
This article provides evidence of critical factors of student retention in Language Massive Open Online Courses (LMOOCs). The study used multiple sources: tracked retention data (n=43,000), survey data in correlation with tracking data (n=400), and qualitative data (174 informants) from a survey (Friðriksdóttir, 2018, 2021a, 2021b). The data came…
Descriptors: Academic Persistence, MOOCs, Blended Learning, Electronic Learning
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Dottin, Pamela C. – Distance Learning, 2021
Online education increases in popularity for traditional and nontraditional undergraduate students, albeit some learners complete while others drop out. This case study focused on the experiences of 2 groups of Anglophone Caribbean students who enrolled in undergraduate online degree programs in the academic year 2013-2014 at a regional Caribbean…
Descriptors: Foreign Countries, Online Courses, Undergraduate Students, Educational Technology
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Angode, Claudia; Ressa, Theodoto W. – Insights into Learning Disabilities, 2021
Many countries suspended physical learning due to COVID-19 and switched to virtual learning to mitigate the spread of the pandemic. Grounded on social learning theory, this quantitative study examined the effect of the COVID-19 pandemic on the education of students with special needs in Kenya. Statistical analysis revealed negative consequences of…
Descriptors: Foreign Countries, COVID-19, Pandemics, Student Needs
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Sa'di, Rami A.; Sharadgah, Talha A.; Abdulrazzaq, Ahmad; Yaseen, Maha S. – Electronic Journal of e-Learning, 2022
As the COVID-19 pandemic was spreading rapidly throughout the world, the most widespread reaction in many countries to curtail the disease was lockdown. As a result, educational institutions had to find an alternative to face-to-face learning. The most obvious solution was e-learning. Conventional tertiary institutions with little virtual learning…
Descriptors: COVID-19, Pandemics, Postsecondary Education, Electronic Learning
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Xing, Wanli; Du, Dongping – Journal of Educational Computing Research, 2019
Massive open online courses (MOOCs) show great potential to transform traditional education through the Internet. However, the high attrition rates in MOOCs have often been cited as a scale-efficacy tradeoff. Traditional educational approaches are usually unable to identify such large-scale number of at-risk students in danger of dropping out in…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
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Grau-Valldosera, Josep; Minguillón, Julià; Blasco-Moreno, Anabel – Interactive Learning Environments, 2019
One of online distance learning's positive attributes is its flexibility. However, the possibility of engaging in periods of non-enrollment (breaks) usually ends in students dropping out. In this paper, the intention to continue of those students who have not enrolled in the second semester is analyzed, adopting a long-term program perspective.…
Descriptors: Distance Education, Educational Technology, Technology Uses in Education, Intention
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Jacobsen, Dan Yngve – Technology, Knowledge and Learning, 2019
Targeting faculties and external mentors in the teacher-training unit, The Norwegian University of Science and Technology in Trondheim, Norway opened up a Massive Open Online Course (MOOC) pilot on digital learning in the fall of 2014. A main objective was to encourage these to use digital media more actively and hence, also to become role models…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Weiand, Augusto; Manssour, Isabel Harb; Silveira, Milene Selbach – International Journal of Distance Education Technologies, 2019
With technological advances, distance education has been frequently discussed in recent years. The learning environments used in this course usually generates a great deal of data because of the large number of students and the various tasks involving their interaction. In order to facilitate the analysis of the data, the authors researched to…
Descriptors: Foreign Countries, Distance Education, Online Courses, Visualization
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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
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Gündüz, Münevver; Karaman, Selçuk – Open Praxis, 2020
This study aimed to investigate open education faculty and distance education students' dropout reasons. By implementing the use of a case study as a qualitative research method, this study investigated why students dropped out for their distance education programs. The study group was composed of 25 students who had dropped out of distance…
Descriptors: College Faculty, Teacher Attitudes, College Students, Student Attitudes
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