Paper ID #38301”Better Living through Chemistry?” DuPont & TeflonDr. Marilyn A. Dyrud, Oregon Institute of Technology Marilyn Dyrud retired in 2017 as a professor emerita in the Communication Department at Oregon In- stitute of Technology, where she taught classes in writing, speech, rhetoric, and ethics for four decades. She received her BA in 1972 from the University of the Pacific in Stockton, CA, and her graduate degrees from Purdue University: MA in 1974 and PhD in 1980. She became involved in engineering education by joining ASEE in 1983 and is currently active in two divisions: Engineering Ethics and Engineering
success, and how to investigate and avoid unintended negative implications of solutions ordesigns. 3. The nature of engineering risk – The role of probabilistic risk assessment, examinedvia theory as well as case studies in engineering disaster (includes video site visits andinterviews, including a number of historic and local examples) 4. Causes of engineering disasters – Examination of causes of engineering disasters,including extreme conditions, design flaws, materials failures, and human factors. Includes videosite visits as well as video laboratory demos showing how engineers use forensic techniques toanalyze the technical causes of failure. 5. Complexity, a changing world, and failure – A learning module focused on
method.The technical implementation of kNN method included the following three steps: (a) sentenceembedding, (b) calculating cosine similarity, and (c) assigning labels by identifying a majorityvote (when k =3).Sentence Embedding. We embedded the raw text—sentences from the unlabeled dataset andthe example bank—into a 768-dimensional vector space using the pre-trained MPNet embeddingmodel [8]. The pre-training means the model have been already trained on large text corpus togenerate embeddings. After embedding both data sets, we determined similarity scores betweenunlabeled sentences and labeled sentences.Similarity Score. We used the cosine similarity score between embedding vectors of labeled andunlabeled sentences [36]. Theoretically, the
suggests that typically, engineers’ sense of civic responsibility declines over the courseof their engineering education, as studied by Cech 2 . Pierrakos et. al 3 , in their work onreimagining ethics in engineering curricula, acknowledge this culture of disengagement andpiecemeal treatment of ethical roles 4 5 as a driving reason requiring re-engagement. These studiesinspired our work.In this paper, we describe our pan-engineering efforts working with faculty, alumni andundergraduate students from many engineering disciplines to help determine if our understandingof the need to integrate better ethics engagement is echoed by other faculty and students. Thisinvestigation was conducted over several years, in different capacities. The early
graduate of Dayton Public Schools. Dr. Long has a B.S. and M.S. in Mechanical Engineering from Wright State University and Ohio State University. He also has a Ph.D. in STEM (Engineering) Education from Ohio State. Dr. Long has interned with Toyota and he owns a small education-based company. For more details see: leroylongiii.comJenna Korentsides, Embry-Riddle Aeronautical University - Daytona Beach Jenna Korentsides is a Ph.D. student in the Human Factors department at Embry-Riddle Aeronautical University in Daytona Beach, FL. Jenna works under the advisement of Dr. Joseph R. Keebler in the Small Teams Analog Research lab where she studies various topics including team performance and training across domains including
-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
-selection bias, in thatstudents who voluntarily took a class on “Engineering Ethics and the Public” may have placedgreater value on that subject matter than those in the control group who decided to take anotherclass enhancing technical skills. Alternatively, it may reflect success in achieving course objectives(Table 1) [8], [9]. Table 1: Ethics Course Objectives for Fall 2020 Semester Learning Objectives 1. Define unethical conduct in engineering and science 2. Discuss potential “costs” of misconduct and “benefits” of morally sound conduct 3. List personal, professional, or societal motives, other than profit, that can foster unethical behavior 4. Describe
Paper ID #39690Character-Based Engineering VirtuesDr. Kenneth McDonald, United States Military Academy, Department of Systems Engineering Dr. Kenneth McDonald is a Professor of Engineering Management, Department of Systems Engineering, West Point. His academic focus is on capacity development, planning, and consequence management. He also studies engineering ethics and how it applies in today’s complex world. Dr. McDonald has au- thored and co-authored over 50 technical publications to include book chapters and refereed publications on infrastructure, capacity development, geotechnical engineering, engineering management
think aboutethical decision-making. To connect these important approaches from the Philosophy of Tech-nology to Engineering, we propose embracing a playful approach to engineering education,specifically the queer art of failure, to expand the strategies and tools available for engineeringeducators in conveying complicated practice of teaching ethics to engineering students.III. T EACHING E NGINEERING E THICS : T HE S TATE OF THE C RAFTPresently, the incentives that American engineering programs currently have to teach ethicsis to meet hard requirements, such as those set out by ABET Accreditation [3], which areaccreditation bodies within the educational system that judge engineering curricula across allinstitutions and verify that they are
is Professor of Information Sciences & Technology and Director of Technocritical Research in AI, Learning & Society Lab (trailsLAB) at the College of Engineering and Computing at George Mason University, USA. He studies how technology shapes learning across formal and informal settings and the ethical implications of using technology. He publishes broadly in the fields of engineering and computing education, and educational technology. His research has been recognized with several best paper awards and his co-edited volume, the Cambridge Handbook of Engineering Education Research (CHEER), received the 2015 Best Book Publication Award from Division I of AERA. Most recently he served as a Fulbright-Nokia
subjects that introduce more active first-persondecision making into the curriculum. Educational games provide a unique and social learningenvironment that can be engaging and interactive for some learners, allowing players to learnthrough exploration and discovery [3]. Drawing on the contemporary learning theory of situatedlearning [1], [2], such playful learning may aid instructors in creating assignments that enablestudents to break free of the typical student mindset of finding the “right” answer and engage inauthentic consideration of how they might act ethically or make trade-offs in ethical goals.Undergraduate engineering students need to begin to develop a sense of the complexity of theircareers that includes social and interpersonal
of compassion togenerate designs that prioritize the security, empowerment, and dignity of end-users [1]. FollowingGilbert et al. [3], we conducted the early stage of assessment of the Compassionate Engagement andAction Scales (CEAS), which can be used to evaluate compassion's caring motivational processing andthe competencies required for integration into engineering education. Through this exploration, we hope 2to pave the way for a paradigm shift in engineering education, fostering a generation of engineers whoexcel in technical prowess and embody a profound commitment to compassionate and ethical practice.The Compassionate
of student understanding of engineering ethics, a pre-post survey was conducted,evaluating three learning strategies: (1) analyzing current ethics cases and writing a technical report, (2)reviewing online resources (videos) and assessment based on an individualized test, and (3) activelearning, which involved developing and performing a skit by the engineering student group andpresenting an alternative ending to the class.The surveys sought feedback from students on: (1) the impact of engineering ethics in their engineeringeducation and career, (2) their preference for individual technical writing or group active learningapproaches, (3) their initial thoughts on the task of making a skit, and (4) their experiences inscriptwriting and skit
deeper learning of ethics principlesto be applied to their specific projects. Our results are useful for instructors who wish toincorporate ethics into their CSCE courses while also supporting student engagement, autonomy,and peer learning.IntroductionEthics has been part of the ABET required outcomes since 2004 [1]. Computer science andengineering (CSCE) students after completing their senior capstone are expected to possess “anability to understand ethical and professional responsibilities and the impact of technical and/orscientific solutions in global, economic, environmental, and societal contexts” through a varietyof curriculum content and enhancements [1].In the Computer Science and Engineering Department at [Blinded] University, a large
improve things can be invaluable training todemonstrate to students that: 1. The solution(s) presented are not the only possible solutions. 2. Ethically better solutions are possible, and, can be outlined by professionals-in-training such as themselves. 3. In some cases, the ethically poorer solutions are also technically less challenging and it is kind of fun to develop the more challenging solution. The above are starkly apparent in the case of the case study involving voice assistant devices suchas Alexa and the choice to stream data back to a central location. In fact, students reach the conclusionthat not only is constantly streaming data back to a central location unnecessary to meet theapplication needs but also may be a
earned a Doctor of Philosophy in Policy and Governance at the Australian National University in Canberra, a Bachelor of Engineering (Mechanical) from Carleton University in Ottawa; a Certificate of Graduate Studies in Natural Resources Organization Management from the University of Michigan in Ann Arbor; and Master of Arts in Environmental Security and Peace from the University for Peace in Costa Rica. For approximately a decade, Sergio worked on sustainable energy policy and finance throughout Latin America and collaborated with leading U.S. government agencies, multilateral banks, and public interest organizations involved in international clean energy policy and rural electrification, including the
for International Perspectives at the Online Ethics Center for Engineering and Science. He is also serving as on the Board of Directors of the Association for Practical and Professional Ethics, and the Executive Committee of the International Society for Ethics Across the Curriculum. Dr. Zhu’s research interests include engineering ethics, global and international engineering education, engineering cultures, and the ethics of human-robot interaction and artificial intelligence.Dr. Rockwell Franklin Clancy III, Virginia Polytechnic Institute and State UniversityLisa M. Lee, Virginia Polytechnic Institute and State University ©American Society for Engineering Education, 2024 Conceptualizing the
ethical terms to applying ethical principles to a dilemma?Communicating the importance of social skills to incoming students is difficult as they often havean expectation that the focus of engineering education is solely the development of strong technicalskills. Historically, a strong technical background was the main requirement when hiringengineering graduates due to the fast development of technology [1]. More recently, there has beena growing demand for better-rounded graduating engineers with well-developed professional skills– often referred to as soft skills [2]. It is difficult to intentionally teach professional skills inengineering studies, as students and faculty typically prioritize the technical aspect of their degree[3]. This
are capable of and/or qualified to deliver teaching inthis area [2]; and lack of research-informed pedagogical resources on ethics specificallydesigned for engineering teaching contexts [3].An Engineering Ethics Toolkit was proposed to help overcome these barriers by specificallyaddressing the latter concern. This proposal emerged as an output of a high-level review ofethical culture and practices in UK engineering initiated by the Royal Academy ofEngineering’s Engineering Ethics Reference Group. The report on this review, “MaintainingSociety’s Trust in the Engineering Profession” proposed specific actions designed to facilitatea “more ethical culture in the UK’s engineering profession” (Royal Academy of Engineering,2022). One of these
the boss wants to know why a team member is not meeting deliverables and the plan ofaction on the part of the technical lead. This is sticky/awkward because tech leads want toencourage their teams and they only have a dotted line reporting structure to their teams - theboss has the hardline reporting and thus more authority - so this kind of feedback needs to bedone just right. We used the 5 conversation strategies to help the engineer have a powerfulconversation with the boss, see below: 1. Say A Person’s NAME 2. Start with CONTEXT 3. Ask PERMISSION first 4. End on mutual AGREEMENTS 5. Set and honor BOUNDARIESTopic 6: Influence with the Leadership LanguageThe influence one can exert with the right language in the business
stores”physically separated by a distance of over 75-meters at opposite ends of a long corridor near theclassroom. This distance adds a time demand and a need for forethought. The material stores,themselves, have small built-in time delays in their operation (see: Appendix D) that result in studentqueuing. The design of the “9-legged helper robot” is technically trivial (it is composed of smallfoam blocks, toothpicks, and stickers), yet it is laborious to assemble, with a specific pattern oftoothpicks required at internal connection points (Figure 1); moreover, there are four of them tobuild. All of these time demands are meant to instill pressure upon the teams to make decisions aboutresource acquisitions quickly; they are meant to mimic real