Profiling low-proficiency science students in the Philippines using machine learning
Abstract Filipino students’ performance in global assessments of science literacy has always been low, and this was confirmed again in the PISA 2018, where Filipino learners’ average science literacy scores ranked second to last among 78 countries. In this study, machine learning approaches were use...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Springer Nature
2023-05-01
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Series: | Humanities & Social Sciences Communications |
Online Access: | https://doi.org/10.1057/s41599-023-01705-y |