Understanding the Adoption of ChatGPT in Higher Education: A Comparative Study with Insights from STEM and Business Students
Open accessAbstract
Since ChatGPT’s introduction, generative artificial intelligence (AI) has significantly influenced the media, technological innovation, and educational discourse. Its increasing importance, especially in academia, necessitates a detailed examination of the impact of AI on higher education, particularly on how it changes teaching and learning processes. This study therefore looks at the factors affecting students’ attitudes towards AI technologies in the university setting, with a particular focus on the differences between business and STEM programmes. Using a mixed methods approach, the study combines surveys and interviews to collect data on students’ perceptions, attitudes and experiences with generative AI technology in academia. The data collected is analysed both quantitatively and qualitatively to reveal significant trends and insights into the adoption and use of generative AI tools in the university environment. The main objective of the study is to shed light on the determinants that determine the varying degrees of AI adoption in different academic disciplines. The findings have the potential to inform the implementation of educational technology and assist in the development of strategies for the effective integration of generative AI tools to meet the different needs and preferences of students in a range of academic contexts.
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Discipline affiliation substantially affects adoption patterns, with STEM and business students showing heightened engagement due to technical exposure and the direct relevance of AI to their academic tasks.
“Empirical research demonstrates that discipline affiliation substantially affects adoption patterns, with STEM and business students showing heightened engagement due to technical exposure and the direct relevance of AI to their academic tasks (Kubullek et al., 2024).”
From <b>Beyond Access: Socioeconomic, Academic and Disciplinary Determinants of Generative AI Use in Higher Education</b> (2026) · cites this paper as Kubullek et al., 2024
Cites
Students' voices on generative ai: perceptions, benefits, and challenges in higher education
Chan, C. K. Y., & Hu, W. (2023) · arXiv · doi:10.48550/arxiv.2305.00290 · Cited by 2,504 · see citing works
Students’ voices on generative AI: perceptions, benefits, and challenges in higher education
Chan, C. K. Y., & Hu, W. (2023) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-023-00411-8 · Cited by 2,301 · see citing works
ChatGPT is fun, but not an author
Thorp, H. H. (2023) · Science · doi:10.1126/science.adg7879 · Cited by 1,437 · see citing works
New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution
Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023) · Sustainability · doi:10.3390/su151612451 · Cited by 1,089 · see citing works
Strzelecki, A. (2024) · Innovative Higher Education · doi:10.1007/s10755-023-09686-1 · Cited by 477 · see citing works
Chatgpt for next generation science learning
Zhai, X. (2023) · XRDS Crossroads The ACM Magazine for Students · doi:10.1145/3589649 · Cited by 178 · see citing works
Student Perceptions on Artificial Intelligence (AI) in higher education
Ravi Kumar, V. V., & Raman, R. (2022) · 2022 IEEE Integrated STEM Education Conference (ISEC) · doi:10.1109/isec54952.2022.10025165 · Cited by 51 · see citing works
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Zafar, S., Shaheen, F., & Khan, S. A. (2026) · Journal of Political Stability Archive · doi:10.63468/jpsa.4.2.17
- Authors
- Kubullek, A.-K., Kumaç, N., & Dogangün, A.
- Affiliations
- Ruhr West University of Applied Sciences (DE)
- Ruhr West University of Applied Sciences, Germany
- Venue
- Proceedings of Mensch und Computer 2024
- Publisher
- ACM
- Published
- 2024-09
- Pages
- 684-689
- OpenAlex
- W4401880874
- Cited by
- 10
- References
- 7
- Citations by year
- 2026: 7 · 2025: 3
- FWCI
- 3.22
- Type
- conference paper
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Mensch und Computer (MuC) (publishedVersion, cc-by)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Keywords
- ChatGPT, generative AI, AI adoption in higher education, student attitudes toward AI, STEM students, business students, academic disciplines, AI in teaching and learning, educational technology integration
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