المقتنيات: Imbalanced Classification Methods for Student Grade Prediction: A Systematic Literature Review

Imbalanced Classification Methods for Student Grade Prediction: A Systematic Literature Review

Student success is essential for improving the higher education system student outcome. One way to measure student success is by predicting students' performance based on their prior academic grades. Concerning the significance of this area, various predictive models are widely developed and ap...

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التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Abdul Bujang S.D., Selamat A., Krejcar O., Mohamed F., Cheng L.K., Chiu P.C., Fujita H.
مؤلفون آخرون:	24467381700
التنسيق:	Review
منشور في:	Institute of Electrical and Electronics Engineers Inc. 2024
الموضوعات:	education Imbalanced classification machine learning prediction model student grade prediction systematic literature review Classification (of information) Education computing Forecasting Learning systems Grade predictions High educations Machine-learning Prediction modelling Predictive models Student grade prediction Student success Students' grades Systematic literature review Students
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

Imbalanced Classification Methods for Student Grade Prediction: A Systematic Literature Review

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