Architecting Analytics Across Multiple E-Learning Systems to Enhance Learning Design
Article Properties
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DOI (url)
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Publication Date2021/04/01
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Indian UGC (journal)
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Refrences117
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Citations1
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Katerina Mangaroska ORCID (unauthenticated)
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Boban Vesin ORCID (unauthenticated)
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Vassilis Kostakos ORCID (unauthenticated)
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Peter Brusilovsky ORCID (unauthenticated)
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Michail N. Giannakos ORCID (unauthenticated)
Refrences
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
Multimodal Learning Analytics to Inform Learning Design: Lessons Learned from Computing Education | Journal of Learning Analytics |
| 9 | 2020 |
| Effects of instructional conditions and experience on the adoption of a learning tool | Computers in Human Behavior |
| 20 | 2017 |
| The expertise reversal effect | 2003 | |||
| Challenges and opportunities of multimodal data in human learning: The computer science students’ perspective | 2021 | |||
| Heteroskedasticity in multiple regression analysis: What it is, how to detect it and how to solve it with applications in R and SPSS | 2019 |
Citations
| Title | Journal | Journal Categories | Citations | Publication Date |
|---|---|---|---|---|
| Predicting University Student Graduation Using Academic Performance and Machine Learning: A Systematic Literature Review | IEEE Access |
| 2024 |
Citations Analysis
The category
Technology: Electrical engineering. Electronics. Nuclear engineering 1
is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Predicting University Student Graduation Using Academic Performance and Machine Learning: A Systematic Literature Review and was published in 2024. The most recent citation comes from a 2024 study titled Predicting University Student Graduation Using Academic Performance and Machine Learning: A Systematic Literature Review. This article reached its peak citation in 2024, with 1 citations. It has been cited in 1 different journals, 100% of which are open access. Among related journals, the IEEE Access cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.