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FARKLI ÜLKELERDEKİ ÖĞRENCİLERİN BİLGİ-İLETİŞİM TEKNOLOJİLERİNE AŞİNALIKLARININ ÇEŞİTLİ DEĞİŞKENLERE GÖRE SINIFLAMA DOĞRULUKLARININ İNCELENMESİ

Year 2018, Volume: 17 Issue: 68, 1386 - 1409, 24.10.2018
https://doi.org/10.17755/esosder.345757

Abstract

Bu araştırmanın amacı, PISA 2012
uygulamasına katılan farklı matematik yeterlik düzeyindeki Türkiye, Yunanistan,
Portekiz ve Şanghay’daki 15 yaş grubu öğrencilerin bilgi iletişim teknolojileri
aşinalıklarının; öğrencilerin okul türü, sosyo-ekonomik düzey ve cinsiyetlerine
göre sınıflama doğruluklarını incelemektir. Araştırma korelasyonel araştırma
olarak yürütülmüş olup, araştırma sorularını yanıtlamak için çok değişkenli
varyans analizi (MANOVA) ve diskriminant fonksiyon analizi kullanılmıştır.
Araştırma sonuçlarına göre; genel olarak BİT aşinalık düzeyinin en yüksek
Portekiz’de olduğu, ikinci sırada bazı alt boyutlarda Türkiye’nin bazı alt
boyutlarda Yunanistan’ın yer aldığı, son sırada ise Şanghay’ın yer aldığı
bulunmuştur. Matematik dersinde bilgi iletişim teknolojileri kullanımında
Türkiye’nin diğer ülkelere göre manidar olarak yüksek indeks değerlerine sahip
olduğu bulunmuştur. Diskriminant fonksiyon analizi sonuçlarına göre; Türkiye,
Yunanistan, Portekiz ve Şanghay’da sırasıyla okul türüne göre %60.9, %83.6,
%61.2, %54; sosyo-ekonomik düzeye göre %56, %48.6, %50.2, %55.6; cinsiyetlere
göre %64.2, %58.4, %65.2, %57.5 sınıflama doğruluğu elde edilmiştir. Her ülkede
okul türü, sosyo-ekonomik düzey ve cinsiyetlere göre sınıflama doğruluğu
maksimum şans kriterine eşit veya bu kriterin üzerindedir. Bu sonuçlar; her
ülkede okul türü, sosyo-ekonomik düzey ve cinsiyetlere göre elde edilen
farkları desteklemekte ve yordayıcıların manidar olduğunu göstermektedir.




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EXAMINATION OF THE CLASSIFICATION ACCURACIES ACCORDING TO VARIOUS VARIABLES OF FAMILIARITY OF INFORMATION-COMMUNICATION TECHNOLOGIES OF STUDENTS IN DIFFERENT COUNTRIES

Year 2018, Volume: 17 Issue: 68, 1386 - 1409, 24.10.2018
https://doi.org/10.17755/esosder.345757

Abstract

The aim of this research is to examine the
classification accuracy of the familiarity of information communication
technologies of Turkey, Greece, Portugal and Shanghai at different mathematics
competence levels of 15 years old students participating in PISA 2012
application according to school type, socio-economic level and genders. The
model of the research was correlational and multivariate analysis of variance
(MANOVA) and discriminant function analysis were used to answer the research
questions. According to the results of the research; it was found that the
level of familiarity with ICT was the highest in Portugal in general, while in
some sub-dimensions Turkey was found to be Greece in some sub-dimensions, and
Shanghai in the last place. In the use of information communication
technologies in mathematics lesson, it is found that Turkey has high index
values ​​according to the other countries. According to the results of
discriminant function analysis; 60.9%, 83.6%, 61.2%, 54% in Turkey, Greece,
Portugal and Shanghai, respectively. 56%, 48.6%, 50.2%, 55.6% according to the
socio-economic level; 64.2%, 58.4%, 65.2%, 57.5% classification accuracy was
obtained according to gender. In each country, the classification accuracy by
school type, socio-economic level and gender is equal to or above the maximum
chance criteria. These results; it supports the differences in school type,
socio-economic level and gender in each country and shows that predictors are
the significant. 

References

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  • Aypay, A. (2010). Information and communicatıon technology (ICT) usage and achivement of Turkish students in PISA 2006. The Turkish Online Journal of Educational Technology, 9(2), 116-124.
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  • Gui, M. & Argentin, G. (2011). Digital skills of internet natives: Different forms of digital literacy in a random sample of northern Italian high school students. New Media & Society, 13(6), 963-980.
  • Gül, Ş. ve Yeşilyurt, S. (2011). The effect of computer assisted ınstruction based constructivist learning approach on students’ attitudes and achievements. Necatibey Eğitim Fakültesi Elektronik Fen ve Matematik Eğitimi Dergisi, 5(1), 94-115.
  • Gülbahar, Y., Tınmaz, H. ve Köse, F. (2012). Bilgi iletişim teknolojileri. Ankara: Gerhun Yayıncılık.
  • Güzeller, C.O. (2011). PISA 2009 Türkiye örnekleminde öğrencilerin bilgisayar öz-yeterlik inançları ve bilgisayar tutumları arasındaki ilişkinin incelenmesi. Ahi Evran Üniversitesi Kırşehir Eğitim Fakültesi Dergisi, 12(4), 183-203.
  • Güzeller, C.O. ve Ertuna, L. (2015). An investigation of students’ computer attitudes in PISA 2012 Turkey sampling. Participatory Educational Research, Special Issue (2), 35-46.
  • Hair, J. F., William, Jr., Black, C., Babin, B. J. & Anderson, R. E. (2014). Multivariate data analysis (7. Ed.). London: Pearson Publications. New York: Springer Science+Business Media.
  • Haber, R. N. & Hershenson, M. (1973). The Psychology of Visual Perception. New York: Holt, Rinehart and Winston, Inc.
  • Imbiri, W. (2015). Accounting students attitude towards computer, the acceptance of the accounting ınformation system’s course and teaching method. Procedia Social and Behavioral Sciences, 172, 18-25.
  • Kubiatko, M. & Vlckova, K. (2010). The relationship between ICT use and science knowledge for Czech students: A secondary analysis of PISA 2006. International Journal of Science and Mathematics Education, 8, 523-543.
  • Lebens, M., Graff, M. & Mayer, P. (2009) Access, attitudes and the digital divide: Children’s attitudes towards computers in a technology-rich environment. Educational Media International, 46(3), 255-266.
  • Lee, Y. H. & Wu, J. Y. (2012). The Effect of individual differences in the inner and outer states of ICT on engagement in online reading activities and PISA 2009 reading literacy: Exploring the relationship between the old and new reading literacy. Learning and Individual Differences, 22(3), 336-342.
  • Li, Y. & Ranieri, M. (2013). Educational and social correlates of the digital divide for rural and urban children: A study on primary school students in a provincial city of China. Computers & Education, 60(1), 197-209.
  • Livingstone, S. (2011). Critical reflections on the benefits of ICT in education. Oxford Review of Education, 38(1), 9-24.
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There are 68 citations in total.

Details

Primary Language Turkish
Journal Section Articles
Authors

Muharrem Şengül

Ergül Demir

Publication Date October 24, 2018
Submission Date October 23, 2017
Published in Issue Year 2018 Volume: 17 Issue: 68

Cite

APA Şengül, M., & Demir, E. (2018). FARKLI ÜLKELERDEKİ ÖĞRENCİLERİN BİLGİ-İLETİŞİM TEKNOLOJİLERİNE AŞİNALIKLARININ ÇEŞİTLİ DEĞİŞKENLERE GÖRE SINIFLAMA DOĞRULUKLARININ İNCELENMESİ. Elektronik Sosyal Bilimler Dergisi, 17(68), 1386-1409. https://doi.org/10.17755/esosder.345757

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