Identifying digital literacy level of teachers candidates?

This research has investigated the digital literacy levels of prospective teachers. Participants consist of teacher candidates that are studying at the education faculties of five state universities. Since it was not possible to reach all candidate teachers cluster sampling, which is a sampling method that depends on probability, was applied. The research was carried out with prospective teachers that are studying at Anadolu University, Gazi University, Marmara University, On Dokuz Mayıs University and Selçuk University.The research, which aimed to determine digital literacy levels of teacher candidates, was performed through using simple descriptives and correlational methods. The digital literacy levels of teacher candidates have been investigated through descriptive methods. Correlational methods have been used to determine whether there is a difference between teacher candidates' digital literacy levels with regard to gender, having a personal computer for regular use, having an Internet connection for regular use, program of study, the type of university entrance exam scores used for placement, family income and individual income.In order to analyze the data, descriptive statistics, independent-samples t-tests and one-way analysis of variance (ANOVA) were conducted through SPSS 15.0 for Windows. The data analysis revealed that levels of digital literacy, computer literacy, information literacy, technology literacy and media literacy varied according to?gender?having a personal computer for regular use.?having an Internet connection for regular use.?the program of study.?the type of university entrance exam scores used for placement.?family income and individual income.