Demystifying Generative AI: adoption and utilisation among Higher Education students
De Vita, Katharina ORCID: https://orcid.org/0000-0002-5030-5588 and Lawlor-Morrison, Natasha
ORCID: https://orcid.org/0000-0003-1681-2815
(2024)
Demystifying Generative AI: adoption and utilisation among Higher Education students.
In: XXXV ISPIM Innovation Conference: “Local Innovation Ecosystems for Global Impact”, 9th - 12th June, 2024, Tallin, Estonia.
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50319 LAWLOR-MORRISON_Demystifying_Generative_AI_Adoption_And_Utilisation_Among_Higher_Education_Students_(CONFERENCE PAPER)_2024.pdf - Published Version Restricted to Repository staff only Download (367kB) | Request a copy |
Abstract
This study investigates students' perceptions and utilisation of generative AI (GenAI) technologies in higher education (HE) exploring the role of students' demographic characteristics. Findings suggest that students' general attitudes towards technology correlate with their GenAI perceptions, aligning with the hypothesis that technology-savvy individuals value GenAI more for academic tasks. Surprisingly, older students and those working part-time rate GenAI's importance higher, contrasting assumptions about younger, tech-native students. Moreover, international student status and English proficiency do not significantly impact GenAI importance ratings. Qualitative data highlights how GenAI is used by students in academic tasks, aiding ideation, comprehension, and writing. Notably, it facilitates inclusive engagement for students with disabilities. Despite varied adoption levels and ethical concerns, this research underscores GenAI's potential to enhance educational inclusivity and urges tailored support and training to bridge technology gaps among diverse student groups. Such insights inform policy and educational strategies, fostering equitable GenAI integration in HE.
Item Type: | Conference or Conference Paper (Paper) |
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Additional Information: | ISBN: 978-9526506968 |
Uncontrolled Keywords: | generative AI; student experience; teaching; learning; higher education; students; ChatGPT; AI literacy; digital pedagogy, user innovation |
Subjects: | H Social Sciences > H Social Sciences (General) L Education > LB Theory and practice of education > LB2300 Higher Education T Technology > T Technology (General) |
Faculty / School / Research Centre / Research Group: | Greenwich Business School Greenwich Business School > School of Business, Operations and Strategy Research and Enterprise Training Unit (RETI) |
Last Modified: | 07 May 2025 15:55 |
URI: | http://gala.gre.ac.uk/id/eprint/50319 |
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