Reference health
Students’ voices on generative AI: perceptions, benefits, and challenges in higher education
43/43 checkable references clean · checked 2026-07-25
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
10 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 43 checked references that resolve
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The 10 references without a DOI — listed, not checked
no DOI — not checkedAtlas, S. (2023). ChatGPT for higher education and professional development: A guide to conversational AI. https://digitalcommons.uri.edu/cba_facpubs/548
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no DOI — not checkedGoodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014). Generative Adversarial Networks. arXiv preprint arXiv:1406.2661
no DOI — not checkedHu, K. (2023, February 2). ChatGPT sets record for fastest-growing user base—analyst note. Reuters. Retrieved from https://www.reuters.com/technology/chatgpt-sets-record-fastest-growing-user-base-analyst-note-2023-02-01/
no DOI — not checkedJeffrey, T. (2020). Understanding college student perceptions of artificial intelligence. Systemics, Cybernetics and Informatics, 18(2), 8–13. https://www.iiisci.org/journal/sci/FullText.asp?var=&id=HB785NN20
no DOI — not checkedKingma, D. P., & Welling, M. (2013). Auto-Encoding Variational Bayes. arXiv preprint arXiv:1312.6114
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