ISEDJ

Information Systems Education Journal

Volume 23

V23 N6 Pages 44-52

Nov 2025


Detecting AI-Generated Writing Using GPTZero


Karen Paullet
Robert Morris University
Pittsburgh, PA USA

Jamie Pinchot
Robert Morris University
Pittsburgh, PA USA

Evan Kinney
Robert Morris University
Pittsburgh, PA USA

Tyler Stewart
Robert Morris University
Pittsburgh, PA USA

Abstract: Generative AI tools such as ChatGPT are now in widespread use and are often utilized by students to help creating writing assignments intended to be written entirely by the student. This has spurred the need for AI detection tools such as GPTZero. This study sought to determine the accuracy of GPTZero’s AI detection in identifying whether writing was created by a human, generated by AI, or a mix of both. Because many students now submit work that is a mix of both their original writing and AI-generated text, it has become more important to be able to accurately identify mixed-generated writing. The study analyzed 500 writing samples of human, AI, and mixed origin and utilized GPTZero’s Deep Analysis to identify writing origin sentence-by-sentence in the mixed samples. Results from this study indicated that GPTZero accurately identified the writing origin of all samples, within an 89% to 93% accuracy rate of mixed-generated writing, and a 95-99% accuracy of writing that was written by a human or entirely by AI.

Download this article: ISEDJ - V23 N6 Page 44.pdf


Recommended Citation: Paullet, K., Pinchot, J., Kinney, E., Stewart, T., (2025). Detecting AI-Generated Writing Using GPTZero. Information Systems Education Journal 23(6) pp 44-52. https://doi.org/10.62273/PZWW7741