Demystifying Attitudes and Effects of Usage of Large-Language Models Among College-Aged Students
Location
John Q. Imholte Hall, Room #113
Event Website
https://2026undergraduateresearchsy.sched.com/event/2Ix8J/demystifying-attitudes-and-effects-of-usage-of-large-language-models-among-college-aged-students
Start Date
15-4-2026 4:00 PM
End Date
15-4-2026 4:30 PM
Description
In compiling literature for my senior seminar on combating hallucinations present within responses from large-language models (LLMs), such as ChatGPT, there exists significant variance of the opinions on the ethics and trustworthiness of LLMs among undergraduate and graduate students. Therefore, for this companion presentation to my more theory-focused senior seminar presentation, I seek to provide an overview of the perception of LLM usage in college students for non-CSci majors. While this presentation aims to briefly overview the process behind the inner workings of LLMs, the crux of this project lies in aggregating the results of various computer science and psychology-related studies to gain a greater understanding of the facets behind college students’ views of artificial intelligence. More specifically, this talk overviews students’ trust and understanding of LLMs, assess students’ ethical views on the usage of LLMs (e.g., sustainability, cheating), and discuss long-term outcomes of LLM usage (e.g., the debate around brain deterioration from LLM usage). While this presentation relies solely on present findings within the literature, it is the hope of the presenter that students with non-CSci backgrounds gain a greater understanding of college LLM usage.
Publication Date
2026
Demystifying Attitudes and Effects of Usage of Large-Language Models Among College-Aged Students
John Q. Imholte Hall, Room #113
In compiling literature for my senior seminar on combating hallucinations present within responses from large-language models (LLMs), such as ChatGPT, there exists significant variance of the opinions on the ethics and trustworthiness of LLMs among undergraduate and graduate students. Therefore, for this companion presentation to my more theory-focused senior seminar presentation, I seek to provide an overview of the perception of LLM usage in college students for non-CSci majors. While this presentation aims to briefly overview the process behind the inner workings of LLMs, the crux of this project lies in aggregating the results of various computer science and psychology-related studies to gain a greater understanding of the facets behind college students’ views of artificial intelligence. More specifically, this talk overviews students’ trust and understanding of LLMs, assess students’ ethical views on the usage of LLMs (e.g., sustainability, cheating), and discuss long-term outcomes of LLM usage (e.g., the debate around brain deterioration from LLM usage). While this presentation relies solely on present findings within the literature, it is the hope of the presenter that students with non-CSci backgrounds gain a greater understanding of college LLM usage.
https://digitalcommons.morris.umn.edu/urs_event/2026/oralpresentations/15