STUDENT PERCEPTIONS ON THE ADOPTION OF ARTIFICIAL INTELLIGENCE IN THE UNIVERSITY ENVIRONMENT

Abstract

This research employs a quantitative exploratory approach aimed at gaining a preliminary understanding of a phenomenon, issue, or situation. To determine the sample, a non-probabilistic convenience sampling technique was used, selecting 87 students from the Autonomous University of Nayarit. Data collection was carried out through a closed-ended questionnaire, whose reliability was validated using Cronbach’s Alpha coefficient, yielding a value considered acceptable. The data was analyzed using statistical software SPSS, through which frequency tables were generated. Based on the results, most respondents (66.7%) believe that their institution is moderately prepared; 25.3% think their institution is poorly prepared to integrate AI, suggesting that about a quarter of the institutions face significant challenges in this area. Additionally, 5.7% of respondents are unsure about their institution’s level of preparedness. The findings indicate that AI education in higher education is an area that could benefit from further research to explore students’ perceptions and knowledge levels, as well as the barriers and limitations they face in accessing and understanding these technologies. From this, it is evident that students are increasingly aware of AI’s presence in higher education, which reflects a strong interest in learning about and applying this type of technology in academic activities. Furthermore, these technologies contribute to academic development and enhance the ability to understand new strategies for problem-solving. Therefore, engaging with AI can be seen as an opportunity to advance the field of education by effectively promoting both individual and collaborative active learning.