A Novel Student Risk Identification Model using Machine Learning Approach
Author:
Publisher
The Science and Information Organization
Subject
General Computer Science
Link
http://thesai.org/Downloads/Volume9No11/Paper_42-A_Novel_Student_Risk_Identification_Model.pdf
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. Machine Learning Models for Predicting Student Dropout—a Review;Proceedings of Eighth International Congress on Information and Communication Technology;2023-09-01
2. Gobierno abierto en municipalidades del Perú como alternativa para generar confianza en los ciudadanos;Revista Venezolana de Gerencia;2023-03-27
3. A Conceptual Predictive Analytics Model for the Identification of at-risk students in VLE using Machine Learning Techniques;2022 14th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS);2022-11-12
4. Toward An Early Risk Alert In A Distance Learning Context;2022 International Conference on Advanced Learning Technologies (ICALT);2022-07
5. Student Retention Using Educational Data Mining and Predictive Analytics: A Systematic Literature Review;IEEE Access;2022
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