Journals / International Journal of Contemporary Educational Research / 2026 / Volume: 10 Issue: 1

Reviewing the Factors Affecting PISA Reading Skills by Using Random Forest and MARS Methods

Hikmet Şevgin(Van Yüzüncü Yıl University)0000-0002-9727-5865
Murat Kayri(Van Yüzüncü Yıl University)0000-0002-5933-6444
Pages
—
Publication Date
2023-03-31
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This study is expected to serve as an example of data mining application in educational research

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The research aims to determine the factors affecting PISA 2018 reading skills using Random Forest and MARS methods and to compare their prediction abilities.
📊
Key Findings & Data:This study used the information from 5713 students, 2838 (49.7%) male and 2875 (50.3%) female in the PISA 2018 Turkey.
💡
Conclusion & Impact:This study is expected to serve as an example of data mining application in educational research
🔬Design:Research Article
📍Scope:2018 Verileri
⚙️Variables:Educational Data Mining · MARS · PISA

Abstract

The research aims to determine the factors affecting PISA 2018 reading skills using Random Forest and MARS methods and to compare their prediction abilities. This study used the information from 5713 students, 2838 (49.7%) male and 2875 (50.3%) female in the PISA 2018 Turkey. The analysis shows the MARS method performed better than the Random Forest method. The most significant factor affecting reading skills in Turkey is “the number of books in the house” in both methods. The variables the MARS method finds significant are “students' perception of difficulty, motivation for reading skills, father’s educational status, reading pleasure, bullying experience of the student, mother's educational status, attitude towards school, classical artifacts at home, supplementary school books at home, competition at school, competitive power, cooperation perception at school, reading frequency, self-efficacy, poetry books at home, anxiety about reading skills and teacher support.” However, the other variables had no relation to prediction. This study is expected to serve as an example of data mining application in educational research

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Cite This Article

Güre, Ö. B., Şevgin, H., Kayri, M. (2023). Reviewing the Factors Affecting PISA Reading Skills by Using Random Forest and MARS Methods. International Journal of Contemporary Educational Research, Volume: 10 Issue: 1. https://doi.org/10.33200/ijcer.1192590

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