ABSTRACT VIEW
STATISTICAL EVALUATION OF UNIVERSITY STUDENTS' ATTITUDES TOWARD ARTIFICIAL INTELLIGENCE
G. Sart, F.H. Sezgin
Istanbul University-Cerrahpasa (TURKEY)
Artificial intelligence (AI) has brought about a significant transformation in many fields, from education to business, from art to medicine. University students' attitudes toward AI determine how they use this technology, how they adapt to it, and what role it plays in their academic and professional development. Students with a positive attitude perceive AI as an opportunity, enabling them to accelerate their learning processes, enhance their research efficiency, and develop innovative approaches to their careers. Therefore, it is crucial for university-level students to understand AI, be aware of its ethical boundaries, and use it correctly to adapt to the requirements of the digital age.

Attitudes toward AI are directly related to an individual's perceptions and emotions about this technology. If a student views AI solely as a threat or as a factor that could harm traditional learning processes, they may remain distant from this technology and be reluctant to take advantage of its benefits. On the other hand, students with a conscious and inquisitive attitude can use AI ethically to access information more quickly, improve data analysis skills, and enhance their creative thinking abilities. At this point, it is essential for educational institutions to raise awareness among students about AI and prepare them for the opportunities this technology presents.

The aim of this study is to statistically evaluate the attitudes of students studying in different faculties at Istanbul University-Cerrahpaşa in the 2024-2025 academic year in terms of demographic and general characteristics. A total of 550 students participated in the study. The AI Attitude Scale (AIAS-4), developed by Grassini (2023), was used as the measurement tool. The AIAS-4 scale consists of four items and a single dimension. Since the results of the Kolmogorov-Smirnov and Shapiro-Wilk normality tests were p>0.05, a normal distribution was achieved. An independent samples t-test was used for comparisons between two groups, and a one-way ANOVA test was used for comparisons among more than two groups. According to the analysis results, the AI attitude levels of female students, engineering faculty students, students with a high perception of income, fourth-year students, students living with their families, and students with two siblings were found to be significantly higher.

In conclusion, attitudes toward AI can also influence students' career paths and future success. Today, employers increasingly prefer individuals with high AI-related skills and invest more in professionals who can effectively use technology. Students who develop a positive and adaptive attitude toward AI can adapt more quickly to the evolving job market and gain a competitive advantage. Therefore, universities should develop programs to increase AI literacy and encourage students to embrace innovations in this field, contributing to their success in both academic and professional domains.

Keywords: Artificial intelligence, Attitudes, University Students, Statistical Analysis.

Event: EDULEARN25
Track: Digital Transformation of Education
Session: Data Science & AI in Education
Session type: VIRTUAL