Öğrencilerin PISA matematik başarılarının yordanmasında veri madenciliği yöntemlerinin karşılaştırılması

Autor: Koyuncu, İlhan

The purpose of this study is to examine the performance of Naive Bayes, nearest neighborhood, artificial neural networks, and logistic regression analysis in terms of sample size and test-data ratio in classifying students participated in the PISA (2

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ab025218d66f2032c00987b32383e2de
https://acikbilim.yok.gov.tr/handle/20.500.12812/434471

An Examination Of The Relationship Between Information Communication Technology At School Or Outside Of School And Student’s Performance In Pisa 2012

Autor: DEMİR, Safiye Bilican, YILDIRIM, Özen

Publikováno v: Volume: 24, Issue: 1 251-262
Kastamonu Eğitim Dergisi

Bu çalışmanın amacı, PISA 2012 uygulamasına katılmış 8. sınıf Türk öğrencilerinin matematik, fen ve okuma performanslarının, okul içinde ve dışında bilgi ve iletişim teknolojileri (BİT) kullanımıyla ilişkisini aşamalı doğr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=tubitakulakb::bc993507d19fad1920df5b469eb70d53
https://dergipark.org.tr/tr/pub/kefdergi/issue/22606/241619

Gender Differential Item Functioning in Mathematics in Four International Jurisdictions

Autor: Lyons-Thomas, Juliette, Sandilands, Dallie (Debra), Ercikan, Kadriye

Publikováno v: EDUCATION AND SCIENCE; Cilt 39, Sayı 172 (2014): Geniş Ölçekli Test Uygulamaları Özel Sayısı
EĞİTİM VE BİLİM; Cilt 39, Sayı 172 (2014): Geniş Ölçekli Test Uygulamaları Özel Sayısı

Past research has shown a male advantage in mathematics compared to females, as well as gender differences in mathematics performance by type of item. However, most past research has focused on gender differences within one cultural group. This resea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=issn13001337::569b3e371d7b336ab1938cd249af343b
http://egitimvebilim.ted.org.tr/index.php/EB/article/view/2873