Topic: Utah Tech Students' Use of AI
Goal: Find out to what degree students of Utah Tech are using AI, GPT, or LLMs in their academic or personal lives.
- Contractor, Zara, and Germán Reyes.
Generative AI in Higher Education: Evidence from an Elite College. IZA -
Institute of Labor Economics, 2025. JSTOR, http://www.jstor.org/stable/resrep71911.
Accessed 9 Sept. 2025. This paper has already done research at 80 different
colleges about AI, but focuses on how to implement its use without compromising
higher learning
- Nathan Ayele. The Usage of New AI
Technologies by College Students and Its Influence on Learning and Dependence.
2024. Honors Projects: Open Access (2019-present). Caldwell University
Archives, JSTOR, https://jstor.org/stable/community.37312334. Accessed 9
Sept. 2025. This paper uses the same study that claims 80% of college students
use AI. It tests that AI was able to help improve scores, but dependency on AI
learning rose too high, preventing critical thinking skills
- De Spiegeleire, Stephan, et al. “WHAT
IS ARTIFICIAL INTELLIGENCE?” ARTIFICIAL INTELLIGENCE AND THE FUTURE OF
DEFENSE: STRATEGIC IMPLICATIONS FOR SMALL- AND MEDIUM-SIZED FORCE PROVIDERS,
Hague Centre for Strategic Studies, 2017, pp. 25–42. JSTOR,
http://www.jstor.org/stable/resrep12564.7. Accessed 9 Sept. 2025. This paper
gives us better definitions of what AI actually is. It is important to define
the breadth of AI discussed.
- Bick, Alexander, et
al. “The Rapid Adoption of Generative AI.” SSRN Electronic Journal,
2024, https://doi.org/10.2139/ssrn.4964384.
This is the study most of the other papers are getting their numbers from. It
will be important for me to understand their methods
- UNESCO. “Regulating
the Use of Generative AI in Education.” Guidance for Generative AI in
Education and Research, UNESCO, 2023, pp. 18–23. JSTOR,
http://www.jstor.org/stable/resrep70313.9. Accessed 9 Sept. 2025. Ethics and
moral standing with AI in education
- https://utahtech.edu/ai/ I am not out to
get anyone in trouble, as this will be anonymous, but this is the question. Is
this being followed? Where are the strong/weak points
- Hu, De-Xin, et al. “Evaluating the
Effects of Generative AI on Student Learning Outcomes: Insights from a
Meta-Analysis.” Educational Technology & Society, vol. 28, no. 3,
2025, pp. 226–40. JSTOR, https://www.jstor.org/stable/48827959.
Accessed 9 Sept. 2025. What are the learning trends due to different levels
of AI use?
Hi Ryan, you have a very interesting topic. Due to the very recent nature of generative AI, I would've assumed finding sources would be somewhat difficult. However, you have a good list going! It's great that you have a mix of education-specific sources and more general applications of AI.
ReplyDeleteHey Ryan, good job finding all of these sources. Similar to Madison I would've assumed it would be harder to find some sources on this topic. Luckily it seems like there is a lot of research being done in this area. I'm excited to see what comes of your project! I think that it's great that you're already looking for the strong and weak points in each of your sources. This will allow you to know which sources to use and not to use and also see where your research can help contribute to the field.
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