“It's not like Jarvis, but it's pretty close!” - Examining ChatGPT's Usage among Undergraduate Students in Computer Science
Open accessAbstract
Large language models (LLMs) such as ChatGPT and Google Bard have garnered significant attention in the academic community. Previous research has evaluated these LLMs for various applications such as generating programming exercises and solutions. However, these evaluations have predominantly been conducted by instructors and researchers, not considering the actual usage of LLMs by students. This study adopts a student-first approach to comprehensively understand how undergraduate computer science students utilize ChatGPT, a popular LLM, released by OpenAI. We employ a combination of student surveys and interviews to obtain valuable insights into the benefits, challenges, and suggested improvements related to ChatGPT. Our findings suggest that a majority of students (over 57%) have a convincingly positive outlook towards adopting ChatGPT as an aid in coursework-related tasks. However, our research also highlights various challenges that must be resolved for long-term acceptance of ChatGPT amongst students. The findings from this investigation have broader implications and may be applicable to other LLMs and their role in computing education.
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The pre-workshop survey results that students used ChatGPT for various purposes are consistent with findings of numerous studies that investigated student use and perceptions of ChatGPT.
“This is consistent with the findings of numerous studies that investigated student use and perceptions of ChatGPT, which found that students appreciated the technology's ability to provide personalized guidance, facilitate understanding of difficult concepts, and assist with writing tasks (Budhiraja et al. 2024;Ding et al. 2023;Li 2023;Mahapatra 2024;Malik et al. 2023;Yan 2023).”
From Fostering AI Literacy in Undergraduates: A ChatGPT Workshop Case Study (2025) · cites this paper as Budhiraja et al. 2024
Students appreciated ChatGPT's ability to provide personalized guidance, facilitate understanding of difficult concepts, or assist with writing tasks.
“Students appreciated Chat-GPT's ability to provide personalized guidance, facilitate understanding of difficult concepts, or assist with writing tasks (Budhiraja et al. 2024;Ding et al. 2023;Li 2023;Mahapatra 2024;Malik et al. 2023;Yan 2023).”
From Fostering AI Literacy in Undergraduates: A ChatGPT Workshop Case Study (2025) · cites this paper as Budhiraja et al. 2024
Students surveyed and interviewed by Budhiraja et al. expressed a desire for more training on effective uses of GenAI tools.
“For example, students that were surveyed and interviewed by Budhiraja et al. [23] expressed a desire for more training on effective uses of GenAI tools”
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- Authors
- Budhiraja, R., Joshi, I., Challa, J. S., Akolekar, H. D., & Kumar, D.
- Affiliations
- Indraprastha Institute of Information Technology Delhi (IN)
- Birla Institute of Technology and Science, Pilani (IN)
- Dept of Mech. Eng. & School of AIDE, IIT Jodhpur, India
- Venue
- Proceedings of the 26th Australasian Computing Education Conference
- Publisher
- ACM
- Published
- 2024-01-29
- Pages
- 124-133
- OpenAlex
- W4390490886
- Cited by
- 52
- References
- 31
- Citations by year
- 2026: 14 · 2025: 26 · 2024: 12
- FWCI
- 19.80
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- Australasian Computing Education Conference (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Computer Science Applications › Teaching and Learning Programming
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Keywords
- ChatGPT, large language models, computer science undergraduates, student use of AI, student attitudes toward AI, student perceptions of AI tools
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