AI Across Borders: Exploring Perceptions and Interactions in Higher Education Article Swipe
J Gérard
,
Swaran P. Singh
,
Michael MacLeod
,
Michael McKay
,
Antoine Rivoire
,
Tanmoy Chakraborty
,
Muskaan Singh
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2501.00017
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2501.00017
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.
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Metadata
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- preprint
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- en
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All OpenAlex metadata
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https://doi.org/10.48550/arxiv.2501.00017Digital Object Identifier
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AI Across Borders: Exploring Perceptions and Interactions in Higher EducationWork title
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preprintOpenAlex work type
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enPrimary language
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2024Year of publication
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2024-12-15Full publication date if available
- Authors
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J Gérard, Swaran P. Singh, Michael MacLeod, Michael McKay, Antoine Rivoire, Tanmoy Chakraborty, Muskaan SinghList of authors in order
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https://arxiv.org/abs/2501.00017Publisher landing page
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
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Perception, Psychology, Political science, NeuroscienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- Related works (count)
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10Other works algorithmically related by OpenAlex
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