Paper ID #42491Applied Ethics via Encouraging Intuitive Reflection and Deliberate DiscourseLucas J. Wiese, Purdue University Lucas Wiese is a PhD student in Computer and Information Technology at Purdue University. He studies AI ethics education and workforce development and works in the Research on Computing in Engineering and Technology Education lab (ROCkETEd) and the Governance and Responsible AI Lab (GRAIL).Dr. Alejandra J. Magana, Purdue University Alejandra J. Magana, Ph.D., is the W.C. Furnas Professor in Enterprise Excellence in the Department of Computer and Information Technology and Professor of Engineering
EthicsIntroductionIt is well accepted by both engineering education practitioners and researchers that developingethical engineers is critical for preparing engineering students to meet the obligations ofprofessional practice upon entering the workforce. Yet despite changing society contexts, and inan era where active changes are being seen in post-secondary engineering students (e.g., Sottileet al., 2021; Sottile, Cruz, & McLain, 2022) engineering ethics education largely looks the sameas it did a generation ago. This paper re-examines the question of engineering ethics educationwith an eye towards evaluating how students and faculty respond to relatively modernengineering ethical situations.Literature ReviewA Case for Case StudiesAs Martin, Conlon, and
Paper ID #38412Promoting Research Quality to Study Mental Models of Ethics andDiversity, Equity, and Inclusion (DEI) in EngineeringDr. Justin L. Hess, Purdue University at West Lafayette (COE) Dr. Justin L Hess is an assistant professor in the School of Engineering Education at Purdue University. Dr. Hess’s research focuses on empathic and ethical formation in engineering education. He received his PhD from Purdue University’s School of Engineering Education, as well as a Master of Science and Bachelor of Science from Purdue University’s School of Civil Engineering. He is the editorial board chair for the Online Ethics
Paper ID #43356Working Towards GenAI Literacy: Assessing First-Year Engineering Students’Attitudes towards, Trust in, and Ethical Opinions of ChatGPTDr. Campbell R. Bego, University of Louisville Campbell Rightmyer Bego, PhD, PE, studies learning and retention in undergraduate engineering programs in the Department of Engineering Fundamentals at the University of Louisville’s Speed School of Engineering. She obtained a BS from Columbia University in Mechanical Engineering, a PE license in Mechanical Engineering from the state of New York, and an MS and PhD in Cognitive Science from the University of Louisville. Her current
students’understanding of ethical dilemmas in aerospace engineering. Macroethics is particularly relevantwithin the aerospace industry as engineers are often asked to grapple with multi-faceted issuessuch as sustainable aviation, space colonization, or the military industrial complex. Macroethicaleducation, the teaching of collective social responsibility within the engineering profession andsocietal decisions about technology, is traditionally left out of undergraduate engineeringcurricula. This lack of macroethics material leaves students underprepared to address the broaderimpacts of their discipline on society. Including macroethical content in the classroom helpsnovice engineers better understand the real implications of their work on humanity
Paper ID #37451Work in Progress: Undergraduate Student Perceptions of MacroethicalIssues in Aerospace EngineeringMs. Elizabeth Ann Strehl, University of Michigan Elizabeth is a graduate student at the University of Michigan studying Engineering Education Research under doctoral advisor Aaron Johnson. Her research focuses on weaving macro ethics into existing aerospace engineering curricula and institutional support methods for working class engineering students. Elizabeth earned her undergraduate degree from the University of Michigan in 2019 with foci in Biomed- ical Engineering and Applied Mathematics.Megan Ennis
ChatGPT evolving in the future andwhat impact do you think it will have on education? (3) What ethical considerations should beconsidered when using ChatGPT in an educational setting? and (4) Can ChatGPT promote criticalthinking and problem-solving skills in students? Why?The responses were coded using NVivo to examine the perceptions of engineering students usingChatGPT. A total of 269 responses were included in the analysis. The responses revealed diverseviewpoints on the future of ChatGPT in education, examining its potential impact on teaching andlearning. While advancements are anticipated, ethical concerns like privacy, academic integrityand equitable access surfaced as significant issues. Opinions on ChatGPT’s role in boosting
technologicaladvancements. Generative AI, with its unparalleled capabilities for creating new content, problem-solving, and driving innovation, offers untapped potential for educational reform. Its applicationin engineering education could fundamentally alter how students engage with complex concepts,fostering environments that are more interactive, personalized, and conducive to deeper learning[8-10].However, the path to integrating generative AI into engineering curricula is fraught withchallenges. Ethical considerations, the quality and bias of AI-generated content, and thepreparedness of both educators and students to engage with this new paradigm are critical issuesthat must be addressed. This study, by focusing on the multifaceted aspects of generative AI’s
syllabi and learning management system data was assembled into codes.Table 1. Original Course Change Typology dimensions and descriptions Dimension Description Significant Learning Degree of focus on engineering domain learning: ABET 1 (problem - Technical solving; STEM principles), 2 (design) and/or 6 (experimentation & data) Significant Learning Evidence of addressing professional skills development: ABET 3 - Professional (communication), 4 (ethics), 5 (teaming, leadership), or 7 (learning strategies) via course grade or course activity Significant Learning Evidence of bringing together technical and professional outcomes - Integration
, ensuring a personalized match in research interests.The coordination team's efficacy is evident in the program's 100% placement rate last year,successfully pairing students with appropriate mentors and projects, reflecting a keenunderstanding of both student and faculty needs.A key aspect of the program is its dual focus on hands-on research and educational seminars.Students engage directly in real-world research under expert guidance, applying classroomtheories to practical scenarios, fostering innovation and inquiry. Concurrently, weekly seminarscover essential topics like research ethics, intellectual property rights, IRB and IACUCprotocols, and grant writing skills, and technology transfer.The program’s holistic structure develops not just
collectedin summer and fall 2023, and 323 responses were included in the analysis. Exploratory factoranalysis (EFA) revealed four factors learning tool, trustworthiness, ease of access and concernswith ChatGPT, and the dimension ‘ethical considerations’ was suggested to be removed after theEFA. The Cronbach’s alpha ranged between 0.62 to 0.82 suggesting good internal consistencyreliability between the items.Keywords: ChatGPT, concerns with ChatGPT, ease of access, ethical considerations, learningtool, trustworthinessIntroductionChat Generative Pre-Trained Transformer (ChatGPT) is a language model created by engineersworking in Open Artificial Intelligence (OpenAI). It is a type of artificial intelligence (AI) systemthat generates human-like text
higher self-efficacy in using ChatGPT as a learning tool in comparison with othergender identities. Furthermore, Freshmen engineering students tend to have high perceptions onusing ChatGPT as a learning tool, while junior engineering students have the lowest. Finally,freshmen engineering students tend to have high perceptions on ease of accessing ChatGPT, whilesophomore engineering students have the lowest.Keywords: ChatGPT, concerns with ChatGPT, ethical considerationsIntroductionEngineers working in Open Artificial Intelligence (OpenAI) developed the language model ChatGenerative Pre-Trained Transformer (ChatGPT). It's a kind of artificial intelligence (AI) systemthat can produce text responses to a variety of questions and prompts that seem
teaching and learning, and how artificial intelligence can be used in education in a creative and ethical way.Dr. Jorge Baier, Pontificia Universidad Cat´olica de Chile He is an associate professor in the Computer Science Department and Associate Dean for Engineering ˜ Education at the Engineering School in Pontificia Universidad CatA³lica de Chile. Jorge holds a PhD in Computer Science from the University of Toronto in CaMart´ın Eduardo Castillo, Pontificia Universidad Cat´olica de Chile Mart´ın Castillo is currently pursuing a Bachelor of Science in Robotics Engineering at the Pontifical Catholic University of Chile. His interests lie in the
ChatGPT, posing a potential threat to theequilibrium of academic integrity. The adaptive strategies employed by institutions in responseto GenAI are also discussed in this paper, and we have explored whether instructors restrictstudents’ access using sophisticated detection systems or simply advocate ethical and responsibleuse of GenAI. The potential consequences of these policies on students’ learning were alsoexplored with an emphasis on whether students feel unfairly disadvantaged when detectionsystems fail or if they perceive the need to rely on GenAI tools to maintain academiccompetitiveness.Keywords: Engineering education, generative AI (GenAI), adaptive strategies, undergraduateBackgroundEngineering education is an ever-changing field that
, including working directly with a client andconsidering the ethical implications of their solutions. These correlations point to areas wherestudents may need additional help in design thinking.BACKGROUNDA purpose of engineering design education is to support students’ movement along the path frombeginning toward informed designers. However, the pathways that students progress along thispath are not straightforward. Often, students are introduced to engineering design as first-yearstudents and do not see a design-focused course again until much later in their education,sometimes not until a capstone design experience in their final year. Both first-year and final-yearengineering design courses have been studied in a variety of contexts (e.g. [1
Paper ID #39845A Literature Review to Explore a Relationship: Empathy and Mindfulness inDesign EducationMs. Rubaina Khan, University of TorontoDr. Adetoun Yeaman, Northeastern University Adetoun Yeaman is an Assistant Teaching Professor in the First Year Engineering Program at Northeastern University. Her research interests include empathy, design education, ethics education and community engagement in engineering. She currently teaches Cornerstone of Engineering, a first-year two-semester course series that integrates computer programming, computer aided design, ethics and the engineering design process within a project
artificial intelligence can be used in education in a creative and ethical way.Prof. Catalina Cortazar, Pontificia Universidad Cat´olica de Chile Catalina Cort´azar is a Faculty member in the engineering design area DILAB at the School of Engineering at Pontificia Universidad Cat´olica de Chile (PUC). Catalina holds a Ph.D. in Engineering Science with a focus on Engineering Education from PUC, an MFA in Design and Technology from Parsons The New School for Desing, an MA in Media Studies from The New School, and a bachelor’s degree in Civil Engineering, with a concentration in Structural Design.Dr. Jorge Baier, Pontificia Universidad Cat´olica de Chile He is an associate professor in the Computer Science Department
technical engineering courses fail to raise students’ awareness of thesocial and ethical context of engineering design [16, 20], efforts have been made to increasestudents’ understanding of the sociotechnical nature of engineering by integrating engineeringcourses that highlight this relationship into the curriculum [e.g., 1, 21, 22].Emphasizing the societal context of engineering may also help broaden participation amongstudents from underrepresented groups, given previous research suggesting that marginalizedstudents’ attitudes toward engineering and sense of belonging may be positively impacted byintegrating societal relevance into engineering coursework [23-25]. Students’ attitudes (e.g.,sense of belonging, self-confidence, etc.) play a major
experience in thecontext of a broader cultural experience.Methodology and MethodsThis work was determined to be IRB exempt by Brandeis University’s IRB and followed ahuman subjects protection protocol (#23232R-E). Elements of this protocol were designed topromote research quality through the lens of ethical validation [16], described in this section. Weused the quality in qualitative research (Q3) framework to actively promote the validity andreliability of our work through making and handling of data [16], [17]. This work was part of alarger study on both variability and mathematical modeling in engineering student culture;below, we present an episode from this context to illustrate our ongoing consent procedure.Collaborative Autoethnography (CAE
that some skills were more commonly associated with specific activitysystems across different project teams, not for quantitative analysis. TABLE I PROFESSIONAL SKILLS PLACED IN THE ACTIVITY SYSTEM Category Professional Skill Community Networking (11), Teamwork (5), Interpersonal Communication (2), Communication, Cross-Cultural Skills, Public Speaking Objective Strategy (6), Creativity (5), Global Awareness (3), Problem Solving (3), Public Speaking (3), Teamwork (3), Written Communication (3), Interpersonal Communication (2), Critical Thinking, Cross-Cultural Skills, Ethics
community engagement (e.g., likes) and interaction features (e.g., “stitch”) uniqueto this platform [29].To protect autonomy and equality of individuals, we designed our research following the InternetResearch: Ethical Guidelines 3.0 [64] when centering neurodivergent voices on the internet usingperson-centered research methods. We collected publicly available content only (not private) andstored the data in a secure Box folder. To protect the identity of the creators, we also usedpseudonyms for each content creator and blurred out faces and usernames on shared screenshots.We will delete all content on Box at the end of the analysis providing a deidentified dataset to theinstitution’s digital commons for study replication.4.2. Data Collection and
. IntroductionEngineering curriculum frequently focuses on technical, analytical, and decision makingknowledge and skills, evident by the common focus of courses on math and physics principles[1]–[3]. Course problem sets and projects routinely focus on determining variables and solvingequations where there is one “right” answer [4]. However, engineering work is inherently bothtechnical and social [5], [6]. To address major problems of today’s world, engineering studentsneed to develop contextual and cultural competencies, ethical responsibility, and socialengagement knowledge and skills, as well as the ability to work across disciplinary boundaries[7]–[10]. Engagement in these skills, which we collectively call “comprehensive engineeringknowledge and skills”, are
urbanplanning method. These approaches shift the power relationships traditionally established ininterview settings and allowed student participants to shape the direction of their interviews andstorytelling.In this paper, we first describe the central ethical and justice challenges to soliciting andengaging BIPOC students in research about their experiences. After describing the goals of thestudy, we explain two key strategies that allowed us to address these challenges in our datacollection: 1) Use of boundary objects to elicit participants narratives, and 2) the integration ofparticipatory urban planning methods.We show sample data sets to explain the ways our methods provided opportunities to learn morefrom students, to gain a comprehensive
within the industry.Literature ReviewProfessional competencies are essential for the success of engineers, influencing careerpersistence, employability, and early career experiences. Professional skills, as emphasized bythe Accreditation Board for Engineering and Technology (ABET) board [7], highlight thatteamwork on multi-disciplinary teams, comprehension of ethical responsibility, and effectivecommunication are some of the key professional skills that the engineering curriculum shouldintegrate. In other words, the engineering curriculum should meet the goals of cultivating holisticskills that are beyond the foundational technical knowledge.In the context of successful engineering practice, a list of 38 competencies has been identified
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 serving as Associate Editor for Science and Engineering Ethics, Associate Editor for Studies in Engineering Education, Editor for International Perspectives at the Online Ethics Center for Engineering and Science, and Executive Committee Member of the International Society for Ethics Across the Curriculum. Dr. Zhu’s research interests include engineering ethics, global and inter- national engineering education, the ethics of human-robot interaction and artificial intelligence, and more recently Asian American students
graduate students (e.g. when they would consider departure, when they wouldchoose to depart) and put through various graduate school experiences. Based on these attributesprogrammed agents can respond to positive or negative examples of the attrition themes identifiedwith the same logic as humans and provide researchers greater insight into different attritionphenomena. ABM also allows for a larger scale of students to be studied in a shorter amount oftime as well as preventing any negative ethical ramifications on human subjects. In this paper, we use two different programming languages to apply ABM to qualitative-focused research data to demonstrate the efficacy of ABM in qualitative research. To achieve thisgoal, we aim to create agent
can plan my office hour effectively’, ‘I can create instruments forevaluating group performance in a collaborative activity’, ‘I understand in what situationsimplementing a group activity is more effective than implementing an individual activity’, etc. Atotal of six factors emerged from the EFA, however, the scale ‘Harnessing the Power ofTechnology’ did not make it to final factors and a new factor was suggested ‘Ethical Practices’.The factor loadings of the final factor structure are shown in Table 4. The factor loadings for thefirst factor (F1) ranged from 0.56 to 0.8, second factor (F2) from 0.58 to 0.77, third factor (F3)from 0.54 to 0.84, fourth factor (F4) from 0.54 to 0.78, fifth factor (F5) from 0.42 to 0.81, andsixth factor (F6
attributes of, “The ability to learn a new skillfairly quickly.” (Student-05). Being organized as in “staying on top of your tasks” (Student-03),along with having “a positive, upbeat attitude” (Student-03), and being empathetic, patient,collaborative, self-aware and ethical were also important attributes mentioned by students.Learning to manage one’s education. Students responded to the question about what they woulddo differently if they could start over in their engineering education. Most emphasized theimportance of joining organizations, clubs, and making better use of the resources offered by theschool and university (e.g., Career Services and advising). Some described the importance ofhaving an open mind and being more proactive about having a
, andthe environment is also vitally important. There is increasing recognition among engineers,educators, and industry leaders of the importance of preparing engineers to account for thesesociocultural dimensions [1]-[4]. We use the term “sociotechnical dimensions” or “practices” torefer to social or contextual factors such as ethics, engagement with stakeholders, and therecognition of power and identity and their role in engineering broadly. Environmental factorssuch as sustainability and the potential future impacts of engineering work are also categorizedas sociotechnical dimensions as they draw attention to possible consequences to the naturalenvironment. A call for broader engineering skills is reflected in the Accreditation Board
-prepared to enter the professional practice ofengineering [15]. Being effective at design thinking may lead to outcomes such as the capacity forinnovative problem-solving [16], the capability to convert ideas to practical real-lifesolutions/applications [17], effective teamwork [18], leveraging uncertainties [19], developing asense of responsibility and ethical decision-making [20]. All these characteristics are highlydesirable in the engineering job market.2. PURPOSEAs evidenced by the above discussion, spatial ability, and design thinking have independently beenthe subject of a significant number of research studies. Still, there is a scarcity of research thatexplores the relationship between spatial ability and design thinking. Only a handful