Student Education Analysis of e-Learning during COVID-19 Using Support Regression Random Forest Algorithm
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s42979-024-03065-z.pdf
Reference27 articles.
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2. Karalar H, Kapucu C, Gur ÜH. Predicting students at risk ofacademic failure using ensemble model during pandemic in a distance learningsystem [J]. Int J Educ Technol High Educ. 2021;18:1–18.
3. Odriozola-González P, Planchuelo-Gómez Á, Irurtia MJ, de Luis-García R. Psychological effects of the COVID-19 Outbreakand Lockdown among students and workers of a Spanish University. Psychiatry Res. 2020;290:113108.
4. Cao W, Fang Z, Hou G, Han M, Xu X, Dong J, et al. Thepsychological impact of the COVID-19 epidemic on college studentsin China. Psychiatry Res. 2020;287:112934. https://doi.org/10.1016/j.psychres.2020.112934.
5. Cao W, Fang Z, Hou G, Han M, Xu X, Dong J, Zheng J. The psychological impact of the COVID-19 Epidemic on CollegeStudents in China. Psychiatry Res. 2020;287:112934.
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