Özet:

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. 

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