Using Numerous Biographical and Enrolling Observations to Predict Student Performance

Author:

Mendy Nefale Mpho,Ajoodha Ritesh

Publisher

Springer Nature Singapore

Reference28 articles.

1. Ajoodha R, Jadhav A, Dukhan S (2020) Forecasting learner attrition for student success at a south african university. In: Conference of the South African Institute of computer scientists and information technologists 2020, pp 19–28

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3. Kabakchieva D (2013) Predicting student performance by using data mining methods for classification. Cybern Inform Technol 13(1):61–72

4. Elbadrawy A, Polyzou A, Ren Z, Sweeney M, Karypis G, Rangwala H (2016) Predicting student performance using personalized analytics. Computer 49(4):61–69

5. Tien I, Armen DK, Reliability engineering system safety

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