Unveiling the Pandemic’s Impact: A Dataset for Probing COVID-19’s Effects on E-Learning Activities and Academic Performance
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Liu, Yanjun 
ORCID: 0009-0005-7275-5204, Luo, Daizhong ORCID: 0009-0005-1108-9084, Wang, Kate ORCID: 0000-0001-5208-1090 and Yin, Jiao ORCID: 0000-0002-0269-2624
(2023)
Unveiling the Pandemic’s Impact: A Dataset for Probing COVID-19’s Effects on E-Learning Activities and Academic Performance.
In:
Health Information Science: 12th International Conference, HIS 2023, Melbourne, VIC, Australia, October 23–24, 2023, Proceedings.
Li, Y, Huang, Z, Sharma, M, Chen, L and Zhou, R, eds.
Lecture Notes in Computer Science, 14305
.
Springer, Singapore, pp. 149-160.
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| Item type | Book Section |
| URI | https://vuir.vu.edu.au/id/eprint/48103 |
| DOI | 10.1007/978-981-99-7108-4_13 |
| Official URL | http://dx.doi.org/10.1007/978-981-99-7108-4_13 |
| ISBN | 9789819971077 |
| Subjects | Current > FOR (2020) Classification > 3904 Specialist studies in education Current > FOR (2020) Classification > 4611 Machine learning Current > Division/Research > Institute for Sustainable Industries and Liveable Cities |
| Keywords | COVID-19; online learning; academic performance; educational outcomes; regression models; machine learning |
| Download/View statistics | View download statistics for this item |
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