AI in the Hands of Students: How Undergraduate Use and Perceive Generative Tools

Authors

DOI:

https://doi.org/10.46328/ijonses.5987

Keywords:

generative artificial intelligence, AI literacy, student use of technology, higher education, ethical use, academic integrity, STEM education

Abstract

As generative artificial intelligence (AI) tools such as ChatGPT, Copilot, and BearcatGPT become more common in higher education, undergraduate students are increasingly using them to support learning, often without formal guidance from instructors. This mixed-methods study explores how students use, perceive, and navigate AI in their coursework, focusing on both learning benefits and ethical challenges. With Institutional Review Board (IRB) approval, data were collected from 240 anonymous survey responses and 40 semi-structured interviews in General Chemistry, Biology, and other STEM courses. Results show that nearly three-fourths of students have used AI for study support, most commonly to review concepts, generate practice problems, and clarify feedback. ChatGPT and Grammarly were the most frequently used tools, followed by Copilot and BearcatGPT, an institutionally managed generative AI platform developed for educational use. While students valued AI for its accessibility and immediacy, nearly half expressed uncertainty about what constitutes ethical use, citing confusion about academic integrity policies. Qualitative analysis revealed themes of curiosity, self-directed experimentation, and a strong desire for clearer faculty guidance. Findings suggest that students are using AI as a supplemental learning aid rather than a shortcut, but the lack of consistent instruction can lead to inequitable outcomes. The study concludes with recommendations for embedding AI literacy and responsible-use frameworks into course design to promote effective and ethical engagement with emerging technologies.

References

Alam, A. (2023). The impact of ChatGPT on academic writing: A study on integrity, authorship, and responsibility. Journal of Applied Learning and Teaching, 6(2), 45–56. https://doi.org/10.37074/jalt.2023.6.2.5

Baidoo-Anu, D., & Owusu Ansah, L. A. (2023). Education in the era of generative artificial intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. SSRN. https://doi.org/10.2139/ssrn.4337484

Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., ... & Wright, R. (2023). So what if ChatGPT wrote it? Multidisciplinary perspectives on opportunities, challenges, and implications of generative conversational AI for research, practice, and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642

Hasanein, A. M., & Sobaih, A. E. (2023). Drivers and consequences of ChatGPT use in higher education: Key stakeholder perspectives. European Journal of Investigation in Health, Psychology and Education, 13(11), 2599–2614. https://doi.org/10.3390/ejihpe13110181

Holmes, W., Bialik, M., & Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning. Center for Curriculum Redesign. https://curriculumredesign.org/wp-content/uploads/AIED-Book-Excerpt-CCR.pdf

Kasneci, E., Seegerer, S., Kasneci, G., & Winkler, S. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 102, 102274. https://doi.org/10.1016/j.lindif.2023.102274

Rudolph, J., Tan, S., & Tan, S. L. (2023). Higher education’s generative artificial intelligence paradox: Opportunities, challenges, and implications. Computers and Education: Artificial Intelligence, 5, 100156. https://doi.org/10.1016/j.caeai.2023.100156

Shao, H., & Chen, M. (2023). Students’ voices on generative AI: Perceptions, benefits, and challenges. International Journal of Educational Technology in Higher Education, 20(1), 1–16. https://doi.org/10.1186/s41239-023-00411-8

Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., & Adeel, A. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(15), 1–24. https://doi.org/10.1186/s40561-023-00252-7

UNESCO. (2023). Guidance for generative AI in education and research. UNESCO Publishing. https://unesdoc.unesco.org/ark:/48223/pf0000386283

Zhai, X. (2023). ChatGPT for next-generation science learning. Journal of Science Education and Technology, 32(3), 403–414. http://dx.doi.org/10.2139/ssrn.4331313

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Published

2026-01-01

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Articles

How to Cite

AI in the Hands of Students: How Undergraduate Use and Perceive Generative Tools . (2026). International Journal on Social and Education Sciences, 8(1), 115-128. https://doi.org/10.46328/ijonses.5987