You Can't Detect Me! Using Prompt Engineering to Generate Undetectable Student Answers

Marie Ernst, Fabian Rupp, Katharina Simbeck

2025

Abstract

Large Language Models (LLMs) have created the opportunity for students to generate answers to assignments. While educators rely on detection tools to identify generated content, students can employ prompt engineering techniques to modify the style of generated outputs and decrease likelihood of detection. In this study, we analyze the impact of intentional AI obstruction through student prompt variation on detection rate using three different AI detection tools. In addition, the AI generated answers are analyzed with regards to their complexity and readability. We found that AI detection tools reliably identified AI generated text. However, prompts leading to intentional imperfections, varied sentence structures and a dynamic writing style were able to reduce recognition rates drastically. We also confirmed that undetected answer were indeed generated in a less elaborated style, commonly associated with younger learners.

Paper Citation

in Harvard Style

Ernst M., Rupp F. and Simbeck K. (2025). You Can't Detect Me! Using Prompt Engineering to Generate Undetectable Student Answers. In Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU; ISBN 978-989-758-746-7, SciTePress, pages 304-311. DOI: 10.5220/0013357500003932

in Bibtex Style

@conference{csedu25,
author={Marie Ernst and Fabian Rupp and Katharina Simbeck},
title={You Can't Detect Me! Using Prompt Engineering to Generate Undetectable Student Answers},
booktitle={Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU},
year={2025},
pages={304-311},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013357500003932},
isbn={978-989-758-746-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Computer Supported Education - Volume 2: CSEDU
TI - You Can't Detect Me! Using Prompt Engineering to Generate Undetectable Student Answers
SN - 978-989-758-746-7
AU - Ernst M.
AU - Rupp F.
AU - Simbeck K.
PY - 2025
SP - 304
EP - 311
DO - 10.5220/0013357500003932
PB - SciTePress