ChatGPT in the Classroom: An Analysis of Its Strengths and Weaknesses for Solving Undergraduate Computer Science Questions Article Swipe
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1145/3626252.3630803
This research paper aims to analyze the strengths and weaknesses associated with the utilization of ChatGPT as an educational tool in the context of undergraduate computer science education. ChatGPT's usage in tasks such as solving assignments and exams has the potential to undermine students' learning outcomes and compromise academic integrity. This study adopts a quantitative approach to demonstrate the notable unreliability of ChatGPT in providing accurate answers to a wide range of questions within the field of undergraduate computer science. While the majority of existing research has concentrated on assessing the performance of Large Language Models in handling programming assignments, our study adopts a more comprehensive approach. Specifically, we evaluate various types of questions such as true/false, multi-choice, multi-select, short answer, long answer, design-based, and coding-related questions. Our evaluation highlights the potential consequences of students excessively relying on ChatGPT for the completion of assignments and exams, including self-sabotage. We conclude with a discussion on how can students and instructors constructively use ChatGPT and related tools to enhance the quality of instruction and the overall student experience.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3626252.3630803
- https://dl.acm.org/doi/pdf/10.1145/3626252.3630803
- OA Status
- gold
- Cited By
- 43
- References
- 17
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4392564705Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1145/3626252.3630803Digital Object Identifier
- Title
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ChatGPT in the Classroom: An Analysis of Its Strengths and Weaknesses for Solving Undergraduate Computer Science QuestionsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-03-07Full publication date if available
- Authors
-
Ishika Joshi, Ritvik Budhiraja, Harshal Dev, Jahnvi Kadia, Mohammad Osama Ataullah, S. Mitra, Harshal D. Akolekar, Dhruv KumarList of authors in order
- Landing page
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https://doi.org/10.1145/3626252.3630803Publisher landing page
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https://dl.acm.org/doi/pdf/10.1145/3626252.3630803Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://dl.acm.org/doi/pdf/10.1145/3626252.3630803Direct OA link when available
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Strengths and weaknesses, Computer science, Compromise, Coding (social sciences), Context (archaeology), Field (mathematics), Quality (philosophy), Mathematics education, Psychology, Biology, Epistemology, Statistics, Mathematics, Philosophy, Sociology, Pure mathematics, Paleontology, Social psychology, Social scienceTop concepts (fields/topics) attached by OpenAlex
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43Total citation count in OpenAlex
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2025: 27, 2024: 15, 2023: 1Per-year citation counts (last 5 years)
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17Number of works referenced by this work
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-
10Other works algorithmically related by OpenAlex
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