Conference Session

Engineering Ethics Division (ETHICS) Technical Session - GenAI in ethics education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Tianjiao Zhao, East Carolina University; Angela Whitehurst, East Carolina University; George C. Wang P.E., East Carolina University; Xi Lin, East Carolina University; Xi Wang, Drexel University; Ron Chance, East Carolina University; Chelsea Rebecca Buckhalter, East Carolina University; shahrooz Ghorbani, East Carolina University

Tagged Divisions

Engineering Ethics Division (ETHICS)

success in engineering education.Ron Chance, East Carolina UniversityChelsea Rebecca Buckhalter, East Carolina Universityshahrooz Ghorbani, East Carolina University ©American Society for Engineering Education, 2025 ChatGPT in Engineering Education: Revolutionizing Writing, Navigating Ethics, and Promoting Responsible UseAbstractSince its release in November 2022, ChatGPT has significantly influenced writing practicesacross educational disciplines, particularly in engineering writing courses. This studyexpands on a prior investigation that surveyed 110 undergraduate engineering students ontheir attitudes toward ChatGPT's role in writing tasks. To explore evolving perceptions, afollow-up survey with

Conference Session

Engineering Ethics Division (ETHICS) Technical Session - GenAI in ethics education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Sourojit Ghosh, University of Washington; Sarah Marie Coppola, University of Washington

Tagged Divisions

Engineering Ethics Division (ETHICS)

weights as a percentage of the totalfinal grade and were graded complete/incomplete based on meeting the assignment requirements. The use of GAItools to complete assignments was permitted, since the authors believe that such tools could be important equitymeasures in a reading-heavy course [16], with the requirement that students attribute their usage of such toolswherever used, such as signing assignments with “proofread by ChatGPT” if done so. Students were alsoencouraged, in line with some assignment requirements mentioned below, to experiment with various GAI assistantsin writing and completing assignments, thus being able to determine which tool could best support which action.The course was offered in a synchronous HyFlex format [8], where

Conference Session

Engineering Ethics Division (ETHICS) Technical Session - Case Studies

Collection

2025 ASEE Annual Conference & Exposition

Authors

Mary Kay Camarillo, University of the Pacific; Luke S. Lee P.E., University of the Pacific; Yadhira Garcia Ruiz, University of the Pacific

Tagged Divisions

Engineering Ethics Division (ETHICS)

Study EvaluationGenAI was used to produce engineering ethics case studies. The following case studies wereused: Hurricane Katrina, Deepwater Horizon/Macondo Well Blowout, and Flint Michigan WaterCrisis. These case studies are well-known, routinely used in ethics courses, and described in themost recent edition of the textbook [21] that we use.The following GenAI tools were used: ChatGPT-4o, Gemini 1.5 Pro, and Microsoft Copilot.First, a simple prompt was used (Table 1). Then, a more detailed prompt was used that was basedon ABET [18] and the “CARE” case study evaluation method [19]. Detailed prompts wereentered using a single prompt in one chat session and then, in another chat session, the detailedprompt was used again where each question was

Conference Session

Engineering Ethics Division (ETHICS) Technical Session - Ethics education methodologies and interventions

Collection

2025 ASEE Annual Conference & Exposition

Authors

Robyn Mae Paul, University of Calgary

Tagged Topics

Diversity

Tagged Divisions

Engineering Ethics Division (ETHICS)

ethics in engineering education. Science and Engineering Ethics, 10(2), 343–351. https://doi.org/10.1007/s11948-004-0030-8Paul, R. M., Hugo, R., & Falls, L. C. (2015). International expectations of engineering graduate attributes. 11th International CDIO Conference.Piers, C. (2024, February 7). Even ChatGPT Says ChatGPT Is Racially Biased. Scientific American. https://www.scientificamerican.com/article/even-chatgpt-says-chatgpt-is- racially-biased/Riley, D. (2012). Aiding and ABETing: The Bankruptcy of Outcomes-based Education as a Change Strategy. 2012 ASEE Annual Conference & Exposition Proceedings, 25.141.1- 25.141.13. https://doi.org/10.18260/1-2--20901Ross, S. R. (2019). Supporting your

Conference Session

Engineering Ethics Division (ETHICS) Technical Session - GenAI in ethics education

Collection

2025 ASEE Annual Conference & Exposition

Authors

Bernd Steffensen, University of Applied Sciences Darmstadt/European University of Technology; Bettina von Römer, University of Applied Sciences Darmstadt

Tagged Divisions

Engineering Ethics Division (ETHICS)

: 1. the statement of the lawyer in printed form. This also con- tains the correct information about the sources that were en- tered into the chatbot to gener- ate the statement with ChatGPT. When creating the printed statement, the rules of academic

Conference Session

Engineering Ethics Division (ETHICS) Technical Session - Ethics in ML/AI

Collection

2025 ASEE Annual Conference & Exposition

Authors

Jenny Tilsen, Bucknell University; Robert M Nickel, Bucknell University; Stewart Thomas, Bucknell University; Sarah Appelhans, Lafayette College; Alan Cheville, Bucknell University

Tagged Divisions

Engineering Ethics Division (ETHICS)

each other’s STEMtells and offer feedback on how to improve the STEMtell. 3. STEMtellers rewrite their STEMtell based on the feedback received in their groups. 4. Step 4 was an additional step and suggested by Author 2, to specifically engage with the context of STEMtelling in a machine learning course. In this Step, students were asked to upload their STEMtells into a LLM of their choice (ChatGPT, Claude, etc.), with the following prompt: “First, summarize each story. Second, assess the quality of these stories and provide suggestions on how to improve the stories based on story structure, sensory details, and other components of a story. Third, provide feedback on how factual

Conference Session

Engineering Ethics Division (ETHICS) Technical Session - Ethics in ML/AI

Collection

2025 ASEE Annual Conference & Exposition

Authors

Emad Ali, Virginia Polytechnic Institute and State University; Bailey Kathryn McOwen, Virginia Polytechnic Institute and State University; Arsalan Ashraf, Virginia Polytechnic Institute and State University; Dayoung Kim, Virginia Polytechnic Institute and State University

Tagged Divisions

Engineering Ethics Division (ETHICS)

Conference Session

Engineering Ethics Division (ETHICS) Technical Session - Student understanding

Collection

2025 ASEE Annual Conference & Exposition

Authors

Eman Hammad, Texas A&M University; Celeste Arden Riley, Texas A&M University - Kingsville; Virginia Pederson; Pierre Atieh

Tagged Divisions

Engineering Ethics Division (ETHICS)

and ChatGPT) models were used to help simplify the survey questionsto avoid complicated discipline specific jargon [32]. The LLM models were prompted torephrase the given question for target reader of an 8th grader. This level was selected based onrecommendations that 85% of a general audience understand information at an eighth gradereading level [32].The revised version was later edited by the research team to ensure alignment and consistencywith the involved disciplines (engineering, psychology) and the question intent. The studyprotocol is followed to administer the surveys to the target student population and to collect thatdata. Depending on the sample size, the proper analysis tools are used to gain insights.A. Study ProtocolThe IRB