Exploring Factors That Affected Student Well-Being during the COVID-19 Pandemic: A Comparison of Data-Mining Approaches
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- Zhou, Jing & Li, Wei & Wang, Jiaxin & Ding, Shuai & Xia, Chengyi, 2019. "Default prediction in P2P lending from high-dimensional data based on machine learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
- Peter Emerson, 2013. "The original Borda count and partial voting," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 40(2), pages 353-358, February.
- Yoonsuh Jung, 2018. "Multiple predicting K-fold cross-validation for model selection," Journal of Nonparametric Statistics, Taylor & Francis Journals, vol. 30(1), pages 197-215, January.
- Min Lu & Hemant Ishwaran, 2021. "Cure and death play a role in understanding dynamics for COVID-19: Data-driven competing risk compartmental models, with and without vaccination," PLOS ONE, Public Library of Science, vol. 16(7), pages 1-17, July.
- Abdallah Y Naser & Hadeel T Al-Hadithi & Eman Zmaily Dahmash & Hassan Alwafi & Salwan Salah Alwan & Zainab Ali Abdullah, 2021. "The effect of the 2019 coronavirus disease outbreak on social relationships: A cross-sectional study in Jordan," International Journal of Social Psychiatry, , vol. 67(6), pages 664-671, September.
- Antonio Hernández-Blanco & Boris Herrera-Flores & David Tomás & Borja Navarro-Colorado, 2019. "A Systematic Review of Deep Learning Approaches to Educational Data Mining," Complexity, Hindawi, vol. 2019, pages 1-22, May.
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Keywords
student well-being; data mining; educational disruption; COVID-19; school closures;All these keywords.
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