A Machine-Learning Approach to Predicting the Achievement of Australian Students Using School Climate; Learner Characteristics; and Economic, Social, and Cultural Status

A Machine-Learning Approach to Predicting the Achievement of Australian Students Using School Climate; Learner Characteristics; and Economic, Social, and Cultural Status

The Programme for International Student Assessment (PISA) is a global survey conducted by the Organisation for Economic Co-operation and Development (OECD) to assess educational systems by evaluating the academic performance of 15-year-old school students in mathematics, science, and reading. In PIS...

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Bibliographic Details
Main Authors: Myint Swe Khine, Yang Liu, Vivek K. Pallipuram, Ernest Afari
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Education Sciences
Subjects:
PISA assessment
machine-learning models
contextual variables
SHAP analysis
Online Access:https://www.mdpi.com/2227-7102/14/12/1350
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