normalization of the artificial intelligence literacy scale based on classical test theory (ctt)

The rapid advancement of artificial intelligence (ai) has brought about transformative changes in various aspects of human life, leading to an exponential increase in the number of ai users. it has now become a part of everyone's lives. therefore, the present study aimed to validate the persian version of the ai literacy scale to measure the competence of iranian users (people over 15 years old) to use ai in the second half of 2024 to the beginning of 2025. the research method relied on psychometric methods (factor analysis), and the tool used was the ai literacy scale of wang et al. (2023). the statistical population was comprised of iranian users over 15 years old, and the statistical sample consisted of 480 of them who voluntarily participated in the research. the findings showed that cronbach's alpha coefficient was 0.714, and the factor structure obtained through efa had favorable fit indices in cfa (cfi, gfi, rfi, nfi, ifi) covering four factors (awareness, usage, evaluation, and ethics). the results showed that this scale has an acceptable factor structure and reliability among users over 15 years of age; therefore, considering that when using artificial intelligence, paying attention to ethical, security and human aspects is essential, this tool can be used as a valid tool to measure user competence in using artificial intelligence.