Early Prediction of student’s Performance in Higher Education: A Case Study
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Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-030-72657-7_16
Reference22 articles.
1. Romero, C., Ventura, S.: Educational data mining: a review of the state of the art. IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. 40, 601–618 (2010). https://doi.org/10.1109/TSMCC.2010.2053532
2. Mduma, N., Kalegele, K., Machuve, D.: A survey of machine learning approaches and techniques for student dropout prediction. Data Sci. J. 18, 1–10 (2019). https://doi.org/10.5334/dsj-2019-014
3. Shahiri, A.M., Husain, W., Rashid, N.A.: A review on predicting Student’s performance using data mining techniques. Procedia Comput. Sci. 72, 414–422. (2015). https://doi.org/10.1016/j.procs.2015.12.157
4. Rastrollo-Guerrero, J.L., Gómez-Pulido, J.A., Durán-Domínguez, A.: Analyzing and predicting Students’ performance by means of machine learning: a review. Appl. Sci. 10, 1042–1058 (2020). https://doi.org/10.3390/app10031042
5. Beaulac, C., Rosenthal, J.S.: Predicting university Students’ academic success and major using random forests. Res. High. Educ. 60, 1048–1064 (2019). https://doi.org/10.1007/s11162-019-09546-y
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