Educational data mining to predict students' academic performance: A survey study

Author:

Batool Saba,Rashid JunaidORCID,Nisar Muhammad Wasif,Kim Jungeun,Kwon Hyuk-Yoon,Hussain Amir

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Education

Reference269 articles.

1. Abu Tair, M. M., & El-Halees, A. M. (2012). Mining educational data to improve students' performance: A case study. International Journal of Information, 2(2).

2. Abubakar, Y., & Ahmad, N. B. H. (2017). Prediction of students’ performance in e-learning environment using random forest. International Journal of Innovative Computing, 7(2).

3. Acharya, A., & Sinha, D. (2014). Early prediction of students performance using machine learning techniques. International Journal of Computer Applications, 107(1).

4. Adebayo, A. O., & Chaubey, M. S. (2019). Data mining classification techniques on the analysis of student’s performance. GSJ, 7(4), 45–52.

5. Adejo, O. W., & Connolly, T. (2018). Predicting student academic performance using multi-model heterogeneous ensemble approach. Journal of Applied Research in Higher Education.

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