A Decision Support System for Predicting Students’ Performance in the National Achievement Test (NAT) of Senior High School Students
- 10.2991/978-2-38476-056-5_20How to use a DOI?
- EDM; DSS; SVM
Using data from the National Achievement Test (NAT) and student grades for senior high school students at Central Mindanao University, this study developed a Decision Support System (DSS). EDM, or educational data mining, must be completed prior to constructing the DSS. Support Vector Machine (SVM) with the Sigmoid kernel, the method used for EDM, achieved an overall accuracy of 96% with respect to the model. The model was then deployed in the DSS and saved. Leveraging Educational Data Mining and Machine Learning Techniques in Designing Strategic Interventions for Senior High School Students in CMU is a funded study that served as the basis for this study's inspiration.
- © 2023 The Author(s)
- Open Access
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Cite this article
TY - CONF AU - Nathalie Joy G. Casildo AU - Mindelle Rey C. Aguirre AU - Kent Levi A. Bonifacio AU - Gladys S. Ayunar AU - Gladys S. Escarlos AU - Ruel C. Wenceslao PY - 2023 DA - 2023/07/26 TI - A Decision Support System for Predicting Students’ Performance in the National Achievement Test (NAT) of Senior High School Students BT - Proceedings of the 3rd International Conference on Education and Technology (ICETECH 2022) PB - Atlantis Press SP - 178 EP - 190 SN - 2352-5398 UR - https://doi.org/10.2991/978-2-38476-056-5_20 DO - 10.2991/978-2-38476-056-5_20 ID - Casildo2023 ER -