Unveiling the Attitudes of University Students Toward Artificial Intelligence

Abstract

The research seeks to delve into and comprehend the attitudes of university students regarding artificial intelligence (AI) and to identify potential factors influencing these attitudes. The research employs a descriptive research design with a quantitative approach. A sample of 240 university students, including both males and females, was selected using simple random sampling. The AI Attitude scale (AIAS-4) developed by Grassini in 2023 was used to collect the data. Statistical techniques, such as “descriptive analysis,” “indeoendent sample t-test,” “one-way ANOVA,” and “post hoc” test were used to analyze the data. The findings indicate that there was no statistically significant difference in attitudes toward AI between male and female university students. Furthermore, our research has substantiated a significant difference in attitudes toward AI among university students specializing in the fields of arts, science, and commerce. The findings of this study suggest that science students displayed a significantly more positive attitude toward AI when compared to their counterparts in the Arts and Commerce streams. Moreover, we examined the impact of educational level on AI attitudes and found no significant difference in attitudes across different educational levels among university students.

Exploring Generative AI Tools Frequency: Impacts on Attitude, Satisfaction, and Competency in Achieving Higher Education Learning Goals

“…Regarding the significance of the findings and their implications, the results of this study underscore the importance of fostering positive attitudes towards AI among university students to optimise educational outcomes. Recognising the positive relationship between attitudes towards AI and academic achievement, educational institutions can develop strategies to promote a culture of acceptance and openness towards AI technologies (Fietta et al, 2022;Hajam & Gahir, 2024;.…”

“…Several studies have investigated various aspects of AI in higher education, explaining its impact on learners and educators (Chai et al, 2020;Gupta & Bhaskar, 2020;Roy et al, 2022;Slimi, 2021;Suh & Ahn, 2022). Research by Hajam and Gahir (2024) focused on understanding college students' attitudes towards AI, aiming to identify the factors that influence these attitudes. This study provides valuable insights into how students perceive AI in the context of higher education, which is crucial for designing effective AI integration strategies.…”