Predicting student performance in higher education using multi-regression models-Reference-Cited by-同舟云学术

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Predicting student performance in higher education using multi-regression models

Published:2020-06-01 Issue:3 Volume:18 Page:1354
ISSN:2302-9293
Container-title:TELKOMNIKA (Telecommunication Computing Electronics and Control)
language:
Short-container-title:TELKOMNIKA

Author:

Santoso Leo Willyanto,Yulia Yulia

Publisher

Universitas Ahmad Dahlan

Subject

Electrical and Electronic Engineering

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Systematic Review of Learning Analytics;Journal of Learning Analytics;2024-05-22

2. Assessment of the Effectiveness of Intelligent Computing Modeling Application Environment for Sustainable Integration with Civic Education in Colleges and Universities;Applied Mathematics and Nonlinear Sciences;2024-01-01

3. A Regression Model and a Combination of Academic and Non-Academic Features to Predict Student Academic Performance;TEM Journal;2023-05-29

4. Eğitsel Veri Madenciliği: Adayların Beden Eğitimi ve Spor Eğitimi Programına Yerleşme Durumlarının Tahmini;Bilgi ve İletişim Teknolojileri Dergisi;2022-06-13

5. USING CURVE ESTIMATION MODELS TO PREDICT STUDENTS ACADEMIC PERFORMANCE BASED ON AVERAGE UNIVERSITY ADMISSION STANDARDS: A COMPARATIVE CASE STUDY OF PRINCE SATTAM BIN ABDULAZIZ UNIVERSITY AND SANA’A UNIVERSITY;Advances and Applications in Statistics;2022-06-02

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