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_Monday June 26, 3:15 - 4:45

Collection

2023 ASEE Annual Conference & Exposition

Authors

Ronald P. Uhlig, National University; Shatha Jawad Jawad, National University; Bhaskar Sinha, National University; Pradip Peter Dey; Mohammad N. Amin, National University

Tagged Divisions

Engineering Ethics Division (ETHICS)

, chaired nine conferences including 2009 ASEE/PSW and 2015 ASEE/PSW and three USPatents. ©American Society for Engineering Education, 2023 Student Use of Artificial Intelligence to Write Technical Engineering Papers – Cheating or a Tool to Augment LearningAbstractConsiderable concern has emerged over the potential use of AI tools by students for completingassignments in their classes. Reactions in academia have been mixed, with some describing suchuse of AI tools as “cheating” while others compare it to the use of calculators and see it as theimpetus for enabling deeper learning by students. To analyze some of these issues, the recentlyreleased AI tool ChatGPT was used to respond to actual Discussion

Conference Session

Using technology in engineering ethics education

Collection

2024 ASEE Annual Conference & Exposition

Authors

Ronald P. Uhlig, National University; Shatha Jawad, National University; Phillip Zamora, National University; Elizabeth Niven, National University

Tagged Divisions

Engineering Ethics Division (ETHICS)

. It was concluded that it depended onspecific circumstances, but it was noted that students might potentially undermine their ownlearning by relying on tools like ChatGPT to answer questions and compose papers. This paperaddresses how to enable students to use these tools in a way that students are not cheatingthemselves.The introduction of calculators into the classroom in the early 1970s stimulated discussion onethical use of technology in teaching. A similar revolution is occurring with the introduction ofGenerative Artificial Intelligence tools such as ChatGPT, Bard (now Gemini), and many others,and a similar set of opportunities is emerging. A key issue is how to use GenAI toolsconstructively to encourage critical thinking in the solving

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, and Leadership

Collection

2024 ASEE Annual Conference & Exposition

Authors

B. Michael Aucoin P.E., Texas A&M University; Zhendi Zhang, Texas A&M University; Miles O. Dodd, Texas A&M University

Tagged Divisions

Engineering Ethics Division (ETHICS), Engineering Leadership Development Division (LEAD)

done on these topics. We conclude the paper witha discussion and recommendations for future work.IntroductionWhile generative artificial intelligence (Gen AI) first became available for widespread use in late 2022(in the form of OpenAI’s ChatGPT platform), this milestone is the latest in a long march ofincreasingly sophisticated developments in harnessing computational power [1] for a variety ofapplications. For this paper, we will generally address how computational power and the use of datais increasingly impacting the practice of leadership. We will speak broadly to the impact of big dataand more specifically to Gen AI, but all under the umbrella term of data-enhanced leadership. Weuse this phrase to capture the phenomenon that

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_Tuesday June 27, 9:15 - 10:45

Collection

2023 ASEE Annual Conference & Exposition

Authors

Laura Bottomley, North Carolina State University at Raleigh; Cynthia Bauerle; Lisette Esmeralda Torres-Gerald; Carrie Hall

Tagged Topics

Diversity

Tagged Divisions

Engineering Ethics Division (ETHICS)

learning community of the course? Ex. Engage students with personal knowledge that can enhance class activities like students from various origins or countries who can discuss how climate change is affecting their homes YES or NO Are students required to demonstrate self-reflective processes in evaluating engineering in society? Ex. Require students to express and defend opinions on engineering issues in the news on a regular basis, like the effects of ChatGPT on education YES or NO Are there opportunities for students to demonstrate their ability to integrate multiple values into evaluation and decision making in an engineering context? Ex

Conference Session

Engineering Ethics Division (ETHICS) Technical Session _ Monday June 26, 1:30 - 3:00

Collection

2023 ASEE Annual Conference & Exposition

Authors

Umair Shakir, Virginia Polytechnic Institute and State University; Justin L. Hess, Purdue University at West Lafayette (COE); Matthew James P.E., Virginia Polytechnic Institute and State University; Andrew Katz, Virginia Polytechnic Institute and State University

Tagged Topics

Diversity

Tagged Divisions

Engineering Ethics Division (ETHICS)

Improving Decisions in Engineering Education Agents and Systems (IDEEAS) Lab, a group that uses multi-modal data to characterize, understand, a ©American Society for Engineering Education, 2023 Pushing Ethics Assessment Forward in Engineering: NLP-Assisted Qualitative Coding of Student ResponsesAbstractRecent headlines have featured large language models (LLMs), like ChatGPT, for their potentialimpacts throughout society. These headlines often focus on educational impacts and policies. Weposit that LLMs have the potential to improve instructional approaches in engineering education.Thus, we argue that as an engineering education community, we should aim to leverage LLMs tohelp resolve

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