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, 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_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