Education Commons^™

Using Machine Learning Approaches To Explore Non-Cognitive Variables Influencing Reading Proficiency In English Among Filipino Learners Final Report, Rochelle I. Lucas, Macario O. Cordell Ii, Jude Michael M. Teves, Sashmir A. Yap, Unisse C. Chua, Allan I. Bernardo

Angelo King Institute for Economic and Business Studies (AKI)

Filipino students ranked last in reading proficiency among all countries/territories in the PISA 2018, with only 19% meeting the minimum (Level 2) standard. It is imperative to understand the range of factors contributing to low reading proficiency, specifically variables that can be the target of interventions to help the students with poor reading proficiency. We used machine learning approaches, specifically binary classification methods, to identify the variables that best predict low (Level 1b and lower) vs. higher (Level 1a or better) reading proficiency using the Philippine PISA data from a nationally representative sample of 15-year-old students. Several binary classification methods …