Determination of the Artificial Intelligence readiness levels of preservice teachers

This study aims to determine “the artificial intelligence readiness levels of pre-service teachers”. The research, which is based on the quantitative data collection method, was conducted with 247 “pre-service teachers”, and examined whether the gender, age distribution and type of program they study create a significant difference in their artificial intelligence readiness levels. The results obtained from the research, “pre-service teachers” have high awareness of artificial intelligence readiness levels. Another result obtained from the study is that “the gender, age distribution and type of program” “don’t create a significant difference” in their artificial intelligence readiness levels. It is recommended that “the artificial intelligence readiness levels of pre-service teachers” should be examined in larger groups by considering other variables.