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

• 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
• Institution: De La Salle University

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...