Üniversite Öğrencilerinin Yapay Zekaya Yönelik Kaygı ve Tutumlarının İncelenmesi

Artificial intelligence is rapidly transforming various sectors, including higher education. While the technical and pedagogical benefits of AI adoption have been widely discussed, its psychological and emotional effects have been under-researched. This study aims to understand university students' attitudes and concerns towards artificial intelligence. In the study, a cross-sectional design model, one of the quantitative research methods, was used. Data collection tools consist of demographic information, artificial intelligence attitude scale, artificial intelligence anxiety scale. The sample consists of 599 university students from three higher education institutions. Mean, standard deviation, independent sample t-test, ANOVA and Pearson correlation analyses were used to analyse the data. As a result of the research, it was determined that the participants exhibited moderate to neutral attitudes towards artificial intelligence. It shows that their concerns about artificial intelligence are generally between low and medium level. The findings indicate that there is uncertainty about the daily applications and societal impacts of AI. Moderate anxiety was observed about understanding AI functions and potential societal impacts such as changing jobs. Male students reported more positive attitudes and lower anxiety compared to female students. Differences in attitudes and anxiety levels were also observed between institutions. In addition, a significant negative correlation was found between AI attitude and AI anxiety. This indicates that promoting a positive attitude towards AI may help reduce anxiety. In future research, it is recommended to examine additional demographic and psychological factors that affect attitudes and concerns about AI.