Using Machine Learning Approaches to Explore Non-Cognitive Variables Influencing Reading Proficiency in English Among Filipino Learners FINAL REPORT

Using Machine Learning Approaches to Explore Non-Cognitive Variables Influencing Reading Proficiency in English Among Filipino Learners FINAL REPORT

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 i...

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Bibliographic Details
Main Authors: Lucas, Rochelle I., Cordell II, Macario O., Teves, Jude Michael M., Yap, Sashmir A., Chua, Unisse C., Bernardo, Allan I.
Format: text
Published: Animo Repository 2021
Subjects:
reading proficiency
non-cognitive variables
machine learning
support vector machines
motivation
growth mindset
reading self-concept
bullying
school connectedness
PISA
Educational Methods
Elementary Education
Language and Literacy Education
Online Access:https://animorepository.dlsu.edu.ph/res_aki/14
https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1011&context=res_aki
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Institution: De La Salle University

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https://animorepository.dlsu.edu.ph/res_aki/14
https://animorepository.dlsu.edu.ph/cgi/viewcontent.cgi?article=1011&context=res_aki

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