Science University Research Symposium (SURS)
Psychology: Measuring Generative AI Dependency In College Students
Publication Date
Fall 11-24-2025
College
College of Sciences & Mathematics
Department
Psychological Science, Department of
SURS Faculty Advisor
Dr. Amber Turner
Presentation Type
Metadata Only
Abstract
The presented study seeks to create a measure for Generative Artificial Intelligence dependency in college students. We hypothesize that the measure we have created will demonstrate convergent validity with other pre-existing scales such as the Generative AI Dependency Scale. Additionally, we hypothesize that our measure will demonstrate reliability through various measures of internal consistency. By looking into current methods of measurement pertaining to Generative AI use, we aim to contribute to a future body of research toward understanding the effects of Generative AI on students. Our measure was created by narrowing down a large item pool to twenty-one items categorized into three subscales of Usage, Dependency, and Attitude. Participants were recruited from introductory Psychology classes at Belmont University, and were all over the age of 18. They were compensated with credit for their classes through SONA. Participants completed an online survey consisting of our scale, demographic questions, and the Generative AI Dependency Scale for convergent validity. Implications and future directions of these initial findings will be discussed.
Recommended Citation
Tidwell, Katherine M.; Begay, Tedd; Mora Gonzalez, Sofia; and Manzana, Jasmine, "Psychology: Measuring Generative AI Dependency In College Students" (2025). Science University Research Symposium (SURS). 277.
https://repository.belmont.edu/surs/277
