AI Across Borders
Exploring Perceptions and Interactions in Higher Education
Bibliographic Data
| ID | 22043167 |
|---|---|
| Authors | Jean Gerard (0000-0003-3985-4022, University of Ulster, corresponding author), Shiveshwar Pratap Singh (0000-0001-7963-824X, Indian Institute of Technology Delhi), Sahajpreet Singh (0000-0003-1357-273X, Indian Institute of Technology Delhi), Morgan Macleod (0000-0003-2572-5414, University of Ulster), Michael Mckay (0000-0003-1496-7434, University of Ulster), Antoine Rivoire (University of Ulster), Tanmoy Chakraborty (0000-0002-3374-8125, Indian Institute of Technology Delhi), Muskaan Singh (0009-0008-2638-7000, University of Ulster) |
| Year | 2025 |
| Volume | 15 |
| Issue | 8 |
| Pages | 1039 |
| Publication date | 2025-08-13 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Education Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2227-7102 • E-ISSN: 2227-7102 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/educsci15081039 |
| OpenAlex | W4413159789 |
| Language | EN |
| Citations received | 1 |
| References cited | 8 |
This study investigates students’ perceptions of Generative Artificial Intelligence (GenAI), with a focus on Higher Education institutions in Northern Ireland and India. We collect quantitative Likert ratings and qualitative comments from 1211 students on their awareness and perceptions of AI and investigate variations in attitudes toward AI across institutions and subject areas, as well as interactions between these variables with demographic variables (focusing on gender). We found the following: (a) while perceptions varied across institutions, responses for Computer Sciences students were similar, both in terms of topics and degree of positivity; and (b) after controlling for institution and subject area, we observed no effect of gender. These results are consistent with previous studies, which find that students’ perceptions are predicted by prior experience; crucially, however, the results of this study contribute to the literature by identifying important interactions between key factors that can influence experience, revealing a more nuanced picture of students’ perceptions and the role of experience. We consider the implications of these relations, and further considerations for the role of experience
Higher education · Mathematics education · Perception · Political science · Artificial Intelligence in Healthcare and Education · Ethics and Social Impacts of AI · Explainable Artificial Intelligence (XAI · Psychology
| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |