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This study delves into the attitudes of undergraduate students in Mangaluru City towards the integration of Artificial Intelligence (AI) in educational settings. The purpose of this research is to uncover potential disparities in student perspectives based on their field of study and academic year. Employing a structured Likert-scale questionnaire with 30 questions across three hypotheses, the research methodology involved collecting responses from 268 participants representing diverse academic disciplines. Statistical analyses, including Kruskal-Wallis tests and post hoc tests, were conducted to examine the significance of differences in attitudes. Findings reveal that academic discipline plays a role in shaping students' attitudes toward AI integration in education. The data also suggests that as students use AI-powered apps more frequently in their daily lives, they also tend to be more comfortable with AI-integrated educational tools. The study proved that there was no significant difference in the perceptions of students towards the impact of AI integration on the role of educators in the learning process based on their academic year. Limitations include the regional focus on Mangaluru City, which may impact generalizability. Educators can use the insights to tailor AI integration strategies based on disciplinary nuances, enhancing the learning experience. Socially, the study contributes to the discourse on AI in education, emphasizing the importance of considering diverse student perspectives. The originality of this work lies in its focus on a specific geographic region, shedding light on contextspecific attitudes that can inform localized educational policies and practices.
Pereira et al. (Sat,) studied this question.