Predicting the Learning Performance of Minority Students in a Vietnamese High School Using Artificial Intelligence Algorithms

This study aims to predict and discover important factors for the learning performance of students belonging to two ethnic groups—Khmer and Chinese (Hoa) students—in Soc Trang with the use of random forest (RF) and Gaussian Naïve Bayes (GNB) classifiers based on students’ demographics and grade poin...

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Veröffentlicht in:	Engineering proceedings Jg. 98; H. 1; S. 22
Hauptverfasser:	Hai-Duy Le, Thao-Trang Huynh-Cam, Long-Sheng Chen, Vo Phan Thu Ngan, Tzu-Chuen Lu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	MDPI AG 01.06.2025
Schlagworte:	artificial intelligence algorithms Chinese (Hoa) students high-school minority students Khmer students learning performance learning performance predictions
ISSN:	2673-4591
Online-Zugang:	Volltext
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