Early Detection At-Risk Students using Machine Learning-Reference-Cited by-同舟云学术

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Early Detection At-Risk Students using Machine Learning

Published:2020-10-21 Issue: Volume: Page:
ISSN:
Container-title:2020 International Conference on Information and Communication Technology Convergence (ICTC)
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Author:

Pongpaichet Siripen,Jankapor Sawarin,Janchai Sarun,Tongsanit Todsaporn

Funder

Mahidol University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9289075/9289076/09289185.pdf?arnumber=9289185

Cited by 9 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. Implementing a Support Vector Classifier for Student Risk Assessment in Colegio De Getafe: A Machine Learning Approach;2024 IEEE Open Conference of Electrical, Electronic and Information Sciences (eStream);2024-04-25

2. Online Machine Learning from Non-stationary Data Streams in the Presence of Concept Drift and Class Imbalance: A Systematic Review;Journal of Information and Communication Technology;2024-01-30

3. A Study on Forecasting Post-enrollment Grades of Students Using Gradient Boosting Decision Tree;Lecture Notes in Computer Science;2024

4. Comparative Analysis of Random Forest and Support Vector Classifier for Student Risk Assessment: A Case Study of Colegio de Getafe;2023 Sixth International Conference on Vocational Education and Electrical Engineering (ICVEE);2023-10-14

5. Detection of at-risk Students in Virtual Learning Environment;2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM);2023-09-21

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