Analysis of Machine learning algorithms for predicting a student's grade
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s42488-022-00078-2.pdf
Reference32 articles.
1. Alnassar F, … T. B.-2021 2nd, & 2021, undefined (2021) How Well a Student Performed? A Machine Learning Approach to Classify Students’ Performance on Virtual Learning Environment. Ieeexplore.Ieee.Org. Retrieved July 21, 2022, from https://ieeexplore.ieee.org/abstract/document/9445286/ . Accessed 17 Oct 2022
2. Al-Shehri H, Al-Qarni A, … L. A.-S.-2017 I. 30th, & 2017, undefined (2017) Student performance prediction using support vector machine and k-nearest neighbor. Ieeexplore.Ieee.Org. Retrieved July 21, 2022, from https://ieeexplore.ieee.org/abstract/document/7946847/. Accessed 17 Oct 2022
3. Asif R, Merceron A, Intelligent MP-I J. of, & 2014, undefined (2015) Predicting student academic performance at degree level: a case study. Mecs-Press.Net 01:49–61. https://doi.org/10.5815/ijisa.2015.01.05
4. Ayienda, R., Rimiru, R., AFRICON, W. C.-2021a I., & 2021, undefined (2021a) Predicting Students Academic Performance using a Hybrid of Machine Learning Algorithms. Ieeexplore.Ieee.Org. Retrieved July 21, 2022, from https://ieeexplore.ieee.org/abstract/document/9571012/. Accessed 17 Oct 2022
5. Ayienda R, Rimiru R, AFRICON, W. C.-2021b I., & 2021, undefined (2021b) Predicting Students Academic Performance using a Hybrid of Machine Learning Algorithms. Ieeexplore.Ieee.Org. Retrieved July 21, 2022, from https://ieeexplore.ieee.org/abstract/document/9571012/. Accessed 17 Oct 2022
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