Researchers at Koç University School of Nursing have developed a validated Turkish-language tool to measure how confident university students feel about using artificial intelligence. Associate Professor Remziye Semerci Şahin and Assistant Professor Seda Güney adapted the Artificial Intelligence Self-Efficacy Scale (AISES) into Turkish and tested its reliability and validity, publishing their findings in the International Journal of Human–Computer Interaction.
The scale assesses perceived self-efficacy, a psychological construct measuring individual confidence in performing specific tasks. As AI tools become increasingly integrated into higher education and workplaces, understanding students' comfort levels with these technologies offers valuable insights for curriculum design and support programs.
The researchers adapted the existing AISES instrument rather than creating one from scratch, a methodologically sound approach that preserves comparability with prior research while accounting for cultural and linguistic differences. Turkish universities serve a student population that may have varying exposure to AI technologies, making locally validated assessment tools essential for meaningful measurement.
Self-efficacy scales inform educators about potential barriers to AI adoption and help identify students who may need additional training or support. For nursing students specifically, AI applications range from diagnostic assistance to patient monitoring systems, making confidence in these tools directly relevant to clinical practice.
The study's publication in a peer-reviewed international journal signals that the Turkish adaptation meets rigorous psychometric standards. This allows researchers across Turkish-speaking institutions to use a validated instrument rather than relying on translated versions that may not accurately capture the original scale's properties.
The work reflects growing recognition that technological proficiency involves both skill and confidence. Two students with identical technical abilities may perform differently based on their self-efficacy beliefs. By measuring this psychological dimension, institutions can tailor interventions to boost confidence alongside competence development.
The scale's availability in Turkish removes a practical barrier for future research on AI adoption among nursing students and other populations in Turkey. This enables