The Influence of ChatGPT on Social Science Students: Insights Drawn from Undergraduate Students in the United States
Open accessAbstract
Recently, the artificial intelligence known as ChatGPT has turned into a global sensation, especially among students. This research paper investigates the influence of this AI-powered chatbot, on undergraduate social science students based on insights drawn from semi-structured interviews. The study aims to understand the level of awareness, adoption, perceived usefulness, and impact of ChatGPT on academic performance. 200 undergraduate students were selected and verbatim transcription was used and later thematic analysis was implemented. We implied our custom code to analyze the data based on sample collection from the students. The findings indicate that most of the participants were aware of ChatGPT and had used it for academic work. Perceived usefulness and ease of use were found to be significant factors that influenced the adoption of this technology. Social influence was also found to be a significant factor, with peer recommendations playing a role in shaping students' attitudes toward new technology. ChatGPT had a positive impact on the academic performance of the participants, particularly in assisting them in understanding difficult concepts and providing them with relevant study materials. The study suggests that chatbots can be valuable tools for learning and academic assistance, particularly in disciplines such as social science that require extensive research and analysis. The findings provide useful insights for educators and researchers seeking to integrate chatbots into existing teaching and learning methods to optimize their benefits. More research is needed to assess the future impacts on students and the education sector alike.
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In educational settings, these expectations may be informed by course descriptions, instructor guidance, and peer experiences with similar tools.
“In educational settings, these expectations may be informed by course descriptions, instructor guidance, and peer experiences with similar tools”
From Exploring the Role of Generative AI as a Research Assistant in Undergraduate Sociology Research Methods (2026) · cites this paper as Jowarder, 2023
The 'Factors Leading to the Adaptation of this Software' section reports that peer recommendations and positive feedback influenced students’ decisions to adopt ChatGPT. It does not identify course descriptions or instructor guidance as sources of expectations, so only the peer-influence part is supported. No page number is available in our copy. (LLM, conf=0.86)
Experimental — accuracy not yet measuredGenAI tools have the capabilities to personalize and adapt learning to fit students' different learning styles by tailoring instructional content.
“GenAI tools have the capabilities to personalize and adapt learning to fit students' different learning styles by tailoring instructional content.”
From Exploring the Role of Generative AI as a Research Assistant in Undergraduate Sociology Research Methods (2026) · cites this paper as Jowarder, 2023
The Introduction (page unavailable) says chatbots provide students with personalized support, feedback, and guidance. It does not say they adapt learning to different learning styles or tailor instructional content; those more specific capabilities are unsupported. (LLM, conf=0.83)
Experimental — accuracy not yet measuredThis enables deeper student engagement with material, potentially fostering independent learning practices and improving educational outcomes.
“This enables deeper student engagement with material, potentially fostering independent learning practices and improving educational outcomes”
From Exploring the Role of Generative AI as a Research Assistant in Undergraduate Sociology Research Methods (2026) · cites this paper as Jowarder, 2023
In “Impacts on Academic Performance” (page unavailable), students report that ChatGPT helped them understand difficult concepts, and the paper describes a positive impact on academic performance. That supports the claim about learning and potential educational benefits, but not its suggestion that ChatGPT fosters independent learning: the Conclusion (page unavailable) reports students depending on it instead of exploring scholarly resources and says it should not replace independent learning. (LLM, conf=0.86)
Experimental — accuracy not yet measuredConcerns regarding academic integrity include plagiarism and the lack of proper citation.
“Concerns regarding academic integrity include plagiarism and the lack of proper citation.”
From Exploring the Role of Generative AI as a Research Assistant in Undergraduate Sociology Research Methods (2026) · cites this paper as Jowarder, 2023
The “Impacts on Academic Performance” section describes students submitting ChatGPT-generated assignments and receiving zero marks, supporting a concern about academic integrity. It does not discuss plagiarism explicitly or the lack of proper citation, so the claim is only partly supported. (LLM, conf=0.83)
Experimental — accuracy not yet measured
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- Authors
- Jowarder, M. I.
- Affiliations
- Lamar University (US)
- Corresponding author
- Jowarder, Mohaimenul Islam
- Venue
- Indonesian Journal of Innovation and Applied Sciences (IJIAS)
- Publisher
- CV. Literasi Indonesia
- Published
- 2023-06-30
- Volume
- 3
- Issue
- 2
- Pages
- 194-200
- ISSN
- 2775-4162 (ISSN-L)
- OpenAlex
- W4384157467
- Cited by
- 36
- References
- 35
- Citations by year
- 2026: 7 · 2025: 15 · 2024: 12 · 2023: 2
- FWCI
- 8.49
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Indonesian Journal of Innovation and Applied Sciences (IJIAS) (publishedVersion, cc-by-sa)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Artificial Intelligence › AI in Service Interactions
- Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
- Keywords
- ChatGPT, large language models, social sciences students, undergraduate students, technology adoption, perceived usefulness, perceived ease of use, social influence, peer recommendations, academic performance, academic dishonesty, educational chatbots, student attitudes toward AI
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