integral partof many professional codes of conduct. Table 1 provides examples from three existing codes. organization[s] “CESER” principles • Protect, and where possible improve, the quality of built and natural environments. Engineering Council and • Maximise the public good and minimise both actual and the Royal Academy of potential adverse effects for [engineeers’] own and succeeding Engineering (2014) [5] generations. • Be aware of the issues that engineering and technology raise for society, and listen to the aspirations and concerns of others. • Engage responsibly with
implies that engineering educationshould not shy away from offering specific ethics courses so that faculty can help guide studentsin converging the diversity of ethics frameworks.LimitationsOur study faces three primary limitations concerning our sample, our methods, and our scope.Additionally, we offer suggestions for future research connected to each of our limitations.First, our findings come from a narrow sample. The interviewees came from two departments atone large university in the southern United States. Therefore, findings drawn from theirperspectives are limited in their generalizability. Despite these limitations, however, we didreach a level of data saturation with our current sample which gives us confidence in the findingswe did
approaches used by the other capstone instructors differed, they weremotivated by the objective above. The approach piloted in Fall 2022 is described next.Students were first asked to pick one recent news story related to the CSCE field that exposes anethical issue. The team explored the issue and were asked to prepare a 20-minute class discussionon the news story and related ethical concerns. Thereafter, the presenting team incorporated whatthey learned from the class discussion to create a short video that can be used in future courseofferings or other courses in the CSCE curriculum.The assignment for the 20-minute ethics discussion required the student teams to avoidconducting a standard presentation, and instead required them to design an
. Aaron W. Johnson, University of Michigan Aaron W. Johnson (he/him) is an Assistant Professor in the Aerospace Engineering Department and a Core Faculty member of the Engineering Education Research Program at the University of Michigan. His lab’s design-based research focuses on how to re-contextualize engineering science engineering courses to better reflect and prepare students for the reality of ill-defined, sociotechnical engineering practice. Their current projects include studying and designing classroom interventions around macroethical issues in aerospace engineering and the productive beginnings of engineering judgment as students create and use mathematical models. Aaron holds a B.S. in Aerospace Engineering
-focused positions and findings from other researchers and educators, we propose anasset-based approach to building faculty competencies for ethics instruction and describe threesets of faculty assets for practitioners to consider. Given that questions concerning the morepersonal, self-directing side of an educator’s professional growth have only been systematicallyexplored in literature outside engineering education, we hope that our examination of the roles offaculty and their assets may begin a similar dialogue in engineering education.IntroductionWith the growth of publications and shared resources coming to light for the engineeringeducation community, instructors are continually presented with new approaches and strategiesthey can apply in
traditional engineering casestudies, which tend to be generalized and focused on community impacts, and personalnarratives as told by both the engineers and individuals impacted by the scenario. Others haveused documentaries or reports to help students contextualize real events or challenges or to givebackground to case studies. More recently some faculty have created narrative based games thatexplore ethical considerations inside a professor-generated story based on the science of spaceexploration and colonization [11]. When considering narrative pedagogy, students and professorsmay share their personal experiences through essays concerning particular engineering problems[12]. Narrative ethics uses stories to explore ethical issues and possibly
shortcomingsThe results of this study indicate that foreign language affects ethical reasoning and moralintuitions in different ways. It affects ethical reasoning in the manner hypothesized, but notmoral intuitions. To an extent, previous research can help to make sense of these findings.As was mentioned, research has found that people are more likely to endorse ostensiblydisgusting [15] and sacrificial behaviors in a foreign than a native language [16]. Since disgustjudgements concern issues of sanctity and denigration [10], it would make sense that participantswould score higher on measures of sanctity in a native than a foreign language. Similarly, sinceethical reasoning – understood as the application of ethical principles to resolve issues
when faculty across the College of Engineering were interviewed. This is discussed more inthe Student Engagement Section.When asked if there existed an activity where a topic relevant to their course was analyzed forethical merit, would faculty prefer to send students to tackle that outside of the classroom, manyexpressed an interest in that. This could help take the onus of new ethics based content creationoff the faculty member’s shoulders and still be used related to their course without giving upprecious lecture time.We also received feedback from students that in previous iterations of the required, senior-levelethics and professional issues in computing course, there were some lectures where the free andopen discussion became difficult
ethics requirements inundergraduate CS and engineering programs. The past couple of years has also seen the coming together of CS educators around the issue ofthinking about and developing guidelines for the Teaching of Responsible Computing [2]. While theseare welcome developments the style of teaching ethics tends to stay at one of two extremes. A courseheavily focused on the philosophy of ethics and a course that spends a great deal of time consideringthe impacts and harms of technology, particularly for speci�ic application areas such as AI [1]. Bothapproaches are valuable in their own way, but a concern for me has been that neither of theseapproaches equips students with how to actively engage in ethics throughout their future
uploaded 550 (pre-processed) students’ written responses in the traditionalqualitative coding software Dedoose. We next read students’ responses to define, refine, andassign codes [33]. When we observed the saturation point was reached (i.e., no new codes wereemerging), we downloaded all codes and their excerpts from Dedoose in .csv format. This filecomprised our initial example bank.The most commonly identified ethical issue was whether or not to install the Big Belly trash cansin Sans Francisco. Students saw this as a tradeoff between keeping the city clean and removing asource of income for the homeless population in the city. The second most common ethicaldilemma related to data privacy concerns. This involved a tradeoff between sending
fulfill this role and forestall abuse,many faculty members have understandably limited and scrutinized student use of Gen AI. Perhapsthis stance comes across as curmudgeonly. How best to make use of this technology in the academywill be an important and evolving process that may significantly impact our paradigms on curriculardelivery and student assessment.Notwithstanding real concerns over abuse, the proverbial genie will not return to the bottle. The issuefor students who will practice engineering leadership is how to apply it effectively and in a way thatdoes not promote abuse. Similarly, the issue for faculty is how to welcome this technology in teachingwhile upholding high ethical standards.Leadership is fundamentally an intervention
-ethics early in their undergraduate experience (sophomore level),then expanding their studies into macro-ethics during their senior year after students were furtheralong in their technical studies and often had gained work experience (through internships, etc.).As Herkert explains in the abstract to his paper: “Microethics” considers individuals and internal relations of the engineering profession; “macroethics” applies to the collective social responsibility of the profession and to societal decisions about technology.... Integrating macroethical issues and concerns in engineering ethics involves broadening the context of ethical problem solving. This in turn implies: developing courses emphasizing both micro and
knowledgesharing and collaboration among computer science researchers in virtual communities to identifyand address potential undesirable consequences of their work. By sharing best practices anddeveloping new solutions, researchers can help computer scientists use their research for societal 4good. Finally, IT #7 leverages faculty social networks to expand the impact of the research ethicstraining program, promoting a culture of responsible research across disciplines and institutions.Theoretical FrameworksSimilar to the findings in the motivation section above, there are two groups of theories ortheoretical frameworks used by these institutional
case studies. Team membershave developed, delivered, and further refined this course over several years [1], [2]. It has takenthe form of a semester-long, two-credit hour course. We have found that participants scoredsignificantly higher in measures of ethical reasoning post- than pre-course and developed agreater concern with fairness and loyalty [3], [4]. These measures include the Engineering andScience Issues Test (ESIT) and Moral Foundations Questionnaire (MFQ) – both of which arefurther described in “Research Design and Methods.”However, given the limited time and space in engineering curricula, and limited number ofqualified instructors to teach global engineering ethics, one goal of this project was to determinewhether a course with
cognitive space where the dilemma is acknowledged andanalyzed, to preliminary interactions with trusted others to better understand the issue, to © American Society for Engineering Education, 2024 1 2024 ASEE Annual Conferenceassessing organizational cultures and stakes, to ultimately engaging with others to raise concernsand seek alternatives. Stepwise rehearsal of interactions includes a breakdown of the stepsnecessary to engage with others at each of these circles, from preparing to frame concerns toscripting difficult conversations. This paper presents the pedagogical foundations for this
as byself-imposed inhibitory practices. [14]Artificial General Intelligence (AGI), Intelligent Agents (IA), Multi-Agent Systems (MAS) -Al Definitions of the “Self”The field of Artificial Intelligence (AI) employs co-related terms such as Artificial GeneralIntelligence (AGI) or “strong” AI, Intelligent Agents (IA), and Multi-Agent Systems (MAS) inorder to engage with questions concerning AI Self and its relation to ethical principles, ethicalreasoning, and responsibility. The emerging field of Intelligent Agents (IA) addresses issues ofagency, autonomy, self-interest and so on. Likewise, the related field of Multi-Agent Systems(MAS) extends this framework to model interactions between autonomous agents and theiremergent properties. MAS
flexibility opens upthe possibility of increasing the number of faculty qualified to teach engineering ethics but alsocreates ambiguity about the knowledge base on which engineering ethics relies. One possibleexplanation for the lack of clarity is that engineering ethics is fundamentally interdisciplinary,which means that no particular area of disciplinary expertise is uniquely relevant.In their discussion of “Interdisciplinarity in Ethics,” Mitcham and Wang argue that “Ethics isinherently interdisciplinary, yet not always pursued as such” [21, p. 241]. Its strongestdisciplinary association is with philosophy, but “Especially in its contemporary applied orpractical versions, ethics is a hybrid of disciplinary concerns in, for example biomedical
with information-processing and virtualobjects through information networks [6]. The new intelligent manufacturing environmentinvolves the Internet of Things (IoT), increased automation, cloud computing, big data, systemintegration, and increased connectivity [7]. From an ethical responsibility perspective, one of thebiggest changes has been the prevalence of robots created by engineers to work alongside people.This issue will be explored in depth in the following section of the report. 4. Ethical Considerations of COBOTs 4.1 COBOT Basics The term COBOT is short for collaborative robot. A COBOT works alongside humanbeings and collaborates with them based on machine learning and human learning-based strategies[8]. COBOTs are
, 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
actual samples from the Hindenburg wreckage toidentify the cause of failure. We plan to integrate diversity and inclusivity issues into this modulein the future (based on a current laboratory study on the impact of skin color on the accuracy ofpulse oximeter readings, for example). Student results from the final two modules were notavailable at the preparation of this manuscript, but will be presented at the ASEE annual meetingand will be added to a future version of this study. However, preliminary informal feedback fromstudents concerning the two interviews with alumni (both currently successful engineers at majorcompanies – Boeing and Blue Origin), has been extremely positive. In particular, many studentsfind these interviews to be inspiring
education. All this has led to Wake Forest Engineering achieving unprecedented student diversity (42% women, 25% racial and ethnic minorities) and faculty diversity (50% women, 25% racial and ethnic diversity). Olga is an engineering education researcher, biomedical and mechanical engineer, and national leader in transforming undergraduate engineering education. She has served as founding faculty of two brand new engineering programs (the first at James Madison University) and served on several national roles across ASEE, ABET, AAAS, NSF, KEEN, etc.Lasya Agasthya ©American Society for Engineering Education, 2024 How Good is Our Undergraduate Engineering Ethics Training? A
ethicaldilemmas, and current undergraduate engineering courses must prepare engineers to deal withthese complexities. Issues of how to program the judgment of self-driving cars and the issues ofhow to protect individual privacy while advancing AI and machine learning algorithms areamong the current list of such ethical issues. Central to the preparation of the next generation ofengineers is instruction that goes beyond simple rote knowledge of codes of ethics, but insteadchallenges undergraduate engineering students to wrestle with the complexities of realisticsituations in which rules and guidelines are at odds with higher ethical goals. This leavesengineering faculty with the question of how best to prepare engineers to both understand theethical
. In 2011, began as an Assistant Teaching Professor in First-year Engineering Program where she redesigned the curriculum and developed courses with sustainability and clean water themes. In 2017, she moved to ChE Department where she has taught core courses and redesigned the Capstone design course with inclusion pedagogy practices. She has also developed and ran 9 faculty-led, international programs to Brazil focused on Sustainable Energy. She has won several teaching awards including ChE Sioui Award for Excellence in Teaching, COE Essigmann Outstanding Teaching Award, and AIChE Innovation in ChE Education Award. She also won best paper at the Annual ASEE conference in both Design in Engineering Education
related to ethical followership. Ethicalvoice is defined as “employees communicating concerns about violations of societal ethicalstandards (e.g., honesty, fairness, care, and respect) and/or suggestions about upholding ethicalstandards to people who might be able to effect changes (e.g., managers or coworkers)” (Chen &Treviño, 2023, p. 1316). It draws on a broader definition of voice as “informal and discretionarycommunication by an employee of ideas, suggestions, concerns, information about problems, oropinions about work-related issues to persons who might be able to take appropriate action, withthe intent to bring about improvement or change” (Morrison, 2014, p. 174). To avoid construct proliferation, it is important to explain why
engineer’s right to a politicalopinion, and civic engagement, with an engineer’s duty to objectivity and truthfulness. The BERraises the question of whether the engineer’s statements about the working conditions of theplant violated their duty to issue statements in an objective and truthful manner, as dictated bythe code of ethics. Additionally, the BER argues that since this engineer is running for publicoffice, the political nature of their statement and the associated media attention must beconsidered when evaluating if the engineer acted in an objective or truthful manner.The BER acknowledges it is possible that Engineer A had a legitimate concern for worker safetybut criticizes the engineer for not speaking to management about the allegations
Paper ID #41401Ethical Use of Generative AI in Engineering: Assessing Students and PreventingThem from Cheating ThemselvesDr. Ronald P. Uhlig, National University Dr. Ron Uhlig is currently Chair, Department of Engineering, Data and Computer Sciences, National University School of Technology and Engineering, College of Business, Engineering and Technology. From 2010-2014, he served as Dean, NU School of Business and Management. He returned to the engineering faculty in 2014. From 2000-2005, he was President/CEO, SegWave, Inc., an educational technology systems company he founded. Previous positions include Vice President
Institute and Research Fellow in the Institute of Social Cognition and Decision-making, Shanghai Jiao Tong University. His research and teaching interests lie at the intersection of moral psychology, engineering and technology ethics, and Chinese philosophy.Dr. Qin Zhu, Virginia Polytechnic Institute and State University Dr. Zhu is Associate Professor in the Department of Engineering Education and Affiliate Faculty in the Department of Science, Technology & Society and the Center for Human-Computer Interaction at Virginia Tech. Dr. Zhu is also an Affiliate Researcher at the Colorado School of Mines. Dr. Zhu is Editor for International Perspectives at the Online Ethics Center for Engineering and Science, Associate
researcher, biomedical and mechanical engineer, and national leader in transforming undergraduate engineering education. She has served as founding faculty of two brand new engineering programs (the first at James Madison University) and served on several national roles across ASEE, ABET, AAAS, NSF, KEEN, etc. ©American Society for Engineering Education, 2024 Educating the Whole Engineer: Leveraging Communication Skills to Cultivate Ethical Leadership CharacterABSTRACT - Effective communication skills are fundamental to the practice of engineeringand thus essential to engineering education. In this paper, we highlight how effectivecommunication skills can also become a vehicle to
analysis as a proxy for toolkit useand stakeholder interviews that provide insight into direct usage, the impact analysishighlighted the Toolkit as a high-value resource for ethics education instruction but also as alearning resource directly used by students as secondary stakeholders. Other uses such as aresource for UK engineering chartership has not been explored and offers new directions todevelop the resource and tools. Furthermore, efforts to widen its reach towards the equality,diversity and inclusion commitment is needed.References[1] B.E. Barry and M.W. Ohland, "ABET Criterion 3.f: How Much Curriculum Content isEnough?", Science and Engineering Ethics, vol. 18, no. 2, pp. 369-92, 2012.[2] A. AlSagheer and A. Al-Sagheer, “Facultys
Paper ID #43795Pedagogy of Engagement: Exploring Three Methods in an Engineering Ethicsand Professionalism CourseJessica Wolf, University of British Columbia Jessica Wolf is a PhD student in the Department of Mechanical Engineering at UBC. Her research focuses on equity issues in engineering education, particularly looking at the impacts of engineering outreach programs on historically marginalized groups in STEM.Gayatri Gopalan, University of British Columbia Gayatri Gopalan is a PhD student in the Department of Curriculum and Pedagogy in the Faculty of Education at the University of British Columbia. Her research