Contrasting Profiles of Low-Performing Mathematics Students in Public and Private Schools in the Philippines: Insights from Machine Learning

Contrasting Profiles of Low-Performing Mathematics Students in Public and Private Schools in the Philippines: Insights from Machine Learning

Filipino students performed poorly in the 2018 Programme for International Student Assessment (PISA) mathematics assessment, with more than 50% obtaining scores below the lowest proficiency level. Students from public schools also performed worse compared to their private school counterparts. We use...

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Bibliographic Details
Main Authors: Allan B. I. Bernardo, Macario O. Cordel, Minie Rose C. Lapinid, Jude Michael M. Teves, Sashmir A. Yap, Unisse C. Chua
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Journal of Intelligence
Subjects:
mathematics achievement
machine learning
Philippines
public vs. private schools
school type
socioeconomic differences
Online Access:https://www.mdpi.com/2079-3200/10/3/61

Internet

https://www.mdpi.com/2079-3200/10/3/61

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