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Journals / Necatibey Eğitim Fakültesi Elektronik Fen ve Matematik Eğitimi Dergisi / 2020 / Cilt: 14 - Sayı: 1

Investigation of Turkey's PISA 2015 Science Performance and Associated Variables Using Hierarchical Linear Modeling

Türkiye'nin PISA 2015 Fen Performansının ve İlişkili Değişkenlerin Hiyerarşik Doğrusal Modelleme İle İncelenmesi

Mustafa YILDIZ
Eda ERDAŞ KARTAL
Günkut MESCİ
Pages
450–480
DOI
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AI Summary & Key Takeaways

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

The findings revealed that the relationship between the science performance and demographic characteristics of the students is stronger than the relationship between science performance and the affective domain as well as the learning environment.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The purpose of this study is to investigate the variables related to science performance of 9 th and 10th grade students in Turkey portion of PISA 2015, by using hierarchical linear modeling (HLM) approach.
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Key Findings & Data:The findings revealed that the relationship between the science performance and demographic characteristics of the students is stronger than the relationship between science performance and the affective domain as well as the learning environment.
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Conclusion & Impact:Based on these findings, it is thought that improving students’ science performance is possible by taking into account the variables that affect the success, especially with improvements that can provide equal opportunities in the context of demographic variables and the construction of inclusive school systems.
🔬Design:Modeling & Simulation
📍Scope:2015 Verileri
⚙️Variables:Domain Parameters

Abstract

The purpose of this study is to investigate the variables related to science performance of 9 th and 10th grade students in Turkey portion of PISA 2015, by using hierarchical linear modeling (HLM) approach. The findings revealed that the relationship between the science performance and demographic characteristics of the students is stronger than the relationship between science performance and the affective domain as well as the learning environment. Based on these findings, it is thought that improving students’ science performance is possible by taking into account the variables that affect the success, especially with improvements that can provide equal opportunities in the context of demographic variables and the construction of inclusive school systems.

Özet

Bu çalışmanın amacı, PISA 2015'in Türkiye'deki 9. ve 10. sınıf öğrencilerinin fen performansına ilişkin değişkenleri hiyerarşik doğrusal modelleme (HLM) yaklaşımı kullanarak araştırmaktır. Bulgular, öğrencilerin fen performansı ile demografik özellikleri arasındaki ilişkinin, fen performansının duyuşsal alan ve öğrenme ortamı ile arasındaki ilişkiden daha güçlü olduğunu ortaya koymuştur. Bu bulgulara dayanarak, öğrencilerin fen performansını geliştirmenin, performansı etkileyen değişkenleri dikkate alarak, özellikle de demografik değişkenler ve kapsayıcı okul sistemlerinin inşası bağlamında eşit fırsatlar sağlayabilen gelişmelerle mümkün olabileceği düşünülmektedir.

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Cite This Article

YILDIZ, M., KARTAL, E. E., MESCİ, G. (2020). Investigation of Turkey's PISA 2015 Science Performance and Associated Variables Using Hierarchical Linear Modeling. Necatibey Eğitim Fakültesi Elektronik Fen ve Matematik Eğitimi Dergisi, Cilt: 14 - Sayı: 1, 450–480. https://ajindex.com/articles/289736

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