An investigation of turkish pre-service teachers' attitudes towards artificial intelligence in terms of different variables

In today's world of digital transformation, technology has reached its peak with artificial intelligence. In this study, which aims to examine the attitudes of prospective Turkish teachers towards artificial intelligence in terms of different variables, the relational survey model, one of the quantitative research methods, was used. The data of the study were collected through the General Attitude. The data of the study were collected through the General Attitude Towards Artificial Intelligence Scale The data were collected from 206 students through Google Forms and analyzed with SPSS 23.00 program. In the study, it was concluded that pre-service teachers' attitudes towards artificial intelligence were at a high level, there was no significant difference between pre-service teachers' attitudes towards artificial intelligence and the variables of gender and internet usage time, pre-service teachers at the 1st grade level had higher attitudes towards artificial intelligence than pre-service teachers at the 2nd and 4th grades, and pre-service teachers who followed news about artificial intelligence had higher attitudes towards artificial intelligence than those who did not follow news about artificial intelligence.