New Scale Measures University Students' Confidence in AI Use
Researchers at Koç University School of Nursing have developed a method to assess university students' confidence in utilizing artificial intelligence technologies. The study, led by Associate Professor Remziye Semerci Şahin and Assistant Professor Seda Güney, focused on perceived self-efficacy regarding AI. To achieve this, the team adapted the Artificial Intelligence Self-Efficacy Scale (AISES) for use in the Turkish language and rigorously evaluated its psychometric properties. The findings of this research were subsequently published in the International Journal of Human–Computer Interaction, providing a new tool for understanding student AI competency.
The development of scales to measure self-efficacy in AI use reflects a growing societal need to understand public perception and readiness for emerging technologies. As AI integration accelerates across educational and professional spheres, tools like the adapted AISES become crucial for identifying potential gaps in digital literacy and confidence. This research provides a foundation for educators and policymakers to design targeted interventions, ensuring students can effectively leverage AI. Future efforts might explore how these self-efficacy measures correlate with actual AI proficiency and how they evolve over time in response to technological advancements and pedagogical strategies.
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