A Machine Learning Model for Student’s Academic Success Prediction
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7456-6_4
Reference25 articles.
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3. Akash PP, Parvin M, Moon NN, Nur FN (2021) Effect of co-curricular activities on student’ s academic performance by machine learning authors: Shaikh Rezwan Rahman 1 Department of Computer Science & Engineering, Daffodil International University. Curr Res Behav Sci 100057.https://doi.org/10.1016/j.crbeha.2021.100057
4. Alhusban S, Shatnawi M, Yasin MB, Hmeidi I (2020) Measuring and enhancing the performance of undergraduate student using machine learning tools. In: 2020 11th International conference on information and communication systems (ICICS). IEEE, 261–265
5. Al Mayahi K, Al-Bahri M (2020) Machine learning based predicting student academic success. In: 2020 12th International congress on ultra-modern telecommunications and control systems and workshops (ICUMT). IEEE, 264–268
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