Arlington, TX, Texas
March 9, 2025
March 9, 2025
March 11, 2025
11
10.18260/1-2--55077
https://peer.asee.org/55077
19
Lance White is a Ph.D. student at Texas A&M University in Interdisciplinary Engineering with a thrust in Engineering Education. He is working as Lecturer for the Engineering Academic and Student Affairs group in the College of Engineering.
Karan L. Watson, Ph.D., P.E., is currently a Regents Senior Professor of Electrical and Computer Engineering, having joined the faculty at Texas A&M University in 1983 as an Assistant Professor. She is also serving as the C0-Director of the Institute
Living in a world where generative AI (GenAI) is saturating every space available to us has become in some ways extremely rewarding, and in other ways somewhat discouraging. Academic dishonesty is one space in higher education that has seen a significant spike in relevance and visibility as GenAI continues to infiltrate every orafice of the engineering education profession. This work seeks to explore this issue and presents findings of a shift from digital assessment to paper assessment in a post digital world. In the Summer of 2024 faculty at Anonymous University decided to make a shift in assessment methods for a foundational first-year engineering course to discourage and inhibit academic dishonest use of ChatGPT during exams. The significance of this work is the scale at which this change was implemented, with over 4,000 students in a first-year engineering course, this added bandwidth on the logistical side of implementing this shift will also be explored. Prior to this shift exams were provided on the Learning Management System (LMS) Canvas and were proctored in person. This was very convenient for grading and management of use logs during the exam, presenting very simple modes of catching academic dishonest. Although these modes of detection were simple and the simplicity of having our exams in a digital format was comforting, the rate of cheating perceptibly rose in comparison to prior semesters. To mitigate this surge in unethical GenAI usage our first-year engineering cohort of faculty moved towards an all paper mode of assessment, a stark shift from our trend to paperless and completely digital existence. The performance of students on these different modes of assessment will be examined in this work along with the rate of academic dishonest behaviors.
White, L. L. A., & Watson, K. (2025, March), Stepping Back from a Digital Age: Paper and Pen Coding Exams in a post GenAI world Paper presented at 2025 ASEE -GSW Annual Conference, Arlington, TX, Texas. 10.18260/1-2--55077
ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2025 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015