Addressing the Poor Mathematics Performance of Filipino Learners: Beyond Curricular and Instructional Interventions

• Main Authors: Lapinid, Minie Rose C., Cordell II, Macario O., Teves, Jude Michael, Yap, Sashimir A., Chua, Unisse, Ms., Bernardo, Allan B.I.
• Format: text
• Published: Animo Repository 2022
• Subjects: mathematics achievement; machine learning; public vs. private schools; school type; socioeconomic differences; PISA; technology; occupational aspirations; interventions; counseling; Disability and Equity in Education; Educational Methods; Science and Mathematics Education; Social and Philosophical Foundations of Education
• Online Access: https://animorepository.dlsu.edu.ph/res_aki/87; https://animorepository.dlsu.edu.ph/context/res_aki/article/1091/viewcontent/Addressing_the_Poor_Mathematics_Performance_of_Filipino_Learners.pdf
• Institution: De La Salle University

This study aimed to determine predictive models that would identify the most important predictor variables for students in the lowest proficiency group in public schools and private schools. After experimenting with different machine learning approaches, the random forest classifier (SVM) models we...