PISA 2018 Türkiye Örnekleminde Okuma Becerisini Etkileyen Değişkenlerin Boruta Algoritması ile Belirlenmesi

Year 2024, Volume: 57 Issue: 2, 655 - 701, 25.07.2024

Sanem Şehribanoğlu

https://doi.org/10.30964/auebfd.1254457

Abstract

Bu çalışmanın amacı öğrencilerin okuma beceri düzeylerine göre sınıflandırması üzerinde etkisi olan değişkenlerin belirlenmesidir. Bu amaçla yüksek ve düşük okuma becerisine sahip olarak belirlenen sınıflandırma gruplarını etkiyen değişkenler tespit edilmiştir. Çok sayıda değişkene sahip olan çalışmalarda hangi değişkenin daha etkin olduğunu tespit etmek için kullanılan değişken (öznitelik) seçim işlemi verilerin boyutlarının azaltılmasını ve ilgisiz değişkenlerin çıkarılmasını sağlar. Bu çalışmada Boruta algoritması kullanılarak okul türü, kariyer beklentisi, sosyo-ekonomik durum, BİT’e olan ilgi ve aşinalık, üst biliş stratejileri gibi değişkenlerin öğrencilerin okuma becerilerinde öne çıktığı belirlenmiştir.

Keywords

PISA 2018, Türkiye, okuma becerisi, öznitelik seçimi, Boruta Algritması

Determination of Variables Affecting Reading Skills Using the Boruta Algorithm in a Turkish Sample from the PISA 2018

Abstract

The objective of this study was to identify the variables that influence the classification of students based on their reading proficiency levels. To achieve this, the variables that affect the classification of the groups with high and low reading skills were determined. In studies with several variables, the process of selecting the most effective variable (attribute) reduces the size of the data and eliminates irrelevant variables. The Boruta algorithm was used in this study to determine the variables that most effectively affect students’ reading skills. These variables include school type, career expectations, socioeconomic status, interest in and familiarity with Information and Communication Technology. and metacognitive strategies.

Keywords

PISA 2018, Turkiye, reading skills, attribute selection, Boruta algorithm

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