Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 3 |
Since 2016 (last 10 years) | 3 |
Since 2006 (last 20 years) | 3 |
Descriptor
Author
Gaševic, Dragan | 1 |
Jongile, Sonwabo | 1 |
Jovanovic, Jelena | 1 |
Ozan Rasit Yürüm | 1 |
Saqr, Mohammed | 1 |
Soner Yildirim | 1 |
Tugba Taskaya-Temizel | 1 |
Viberg, Olga | 1 |
Publication Type
Information Analyses | 3 |
Journal Articles | 3 |
Education Level
Higher Education | 2 |
Postsecondary Education | 2 |
Audience
Location
Saudi Arabia | 1 |
South Africa | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Ozan Rasit Yürüm; Tugba Taskaya-Temizel; Soner Yildirim – Technology, Knowledge and Learning, 2024
The purpose of this study was to investigate the use of predictive video analytics in online courses in the literature. A systematic literature review was performed based on a hybrid search strategy that included both database searching and backward snowballing. In total, 77 related publications published between 2011 and April 2023 were…
Descriptors: Literature Reviews, Distance Education, Online Courses, Video Technology
Jongile, Sonwabo – International Journal on E-Learning, 2022
The identification of predictor variables for students at-risk of dropping out of university has received increased attention in higher education settings internationally concerning the context of origin in which they are developed and the different academic context in which they are introduced, often lacking schema-theoretic perspectives to offer…
Descriptors: Predictor Variables, At Risk Students, Potential Dropouts, College Students
Saqr, Mohammed; Jovanovic, Jelena; Viberg, Olga; Gaševic, Dragan – Studies in Higher Education, 2022
Predictors of student academic success do not always replicate well across different learning designs, subject areas, or educational institutions. This suggests that characteristics of a particular discipline and learning design have to be carefully considered when creating predictive models in order to scale up learning analytics. This study…
Descriptors: Meta Analysis, Learning Analytics, Predictor Variables, Correlation