Which Filipino Students are Being Left Behind in Mathematics? Testing Machine Learning Models to Differentiate Lowest-Performing Filipino Students in Public and Private Schools in the 2018 PISA Mathematics Test

Which Filipino Students are Being Left Behind in Mathematics? Testing Machine Learning Models to Differentiate Lowest-Performing Filipino Students in Public and Private Schools in the 2018 PISA Mathematics Test

Filipino students performed poorly in the PISA 2018 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 used machine learning approaches, specifically binar...

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Bibliographic Details
Main Authors: Lapinid, Minie Rose C., Cordel, Macario O., II, Teves, Jude Michael M., Yap, Sashmir A., Chua, Unisse C., Bernardo, Allan B. I
Format: text
Published: Animo Repository 2022
Subjects:
mathematics achievement
machine learning
Philippines
public vs. private schools
school type, socioeconomic differences
PISA
Online Access:https://animorepository.dlsu.edu.ph/res_aki/4
https://animorepository.dlsu.edu.ph/context/res_aki/article/1001/viewcontent/dlsu_aki_working_paper_series_2022_09_085.pdf
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Institution: De La Salle University

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