Paper ID #43681Frankenstein Lives! Teaching Mary Shelley’s Novel in the Engineering ClassroomDr. Benjamin J. Laugelli, University of Virginia Dr. Laugelli is an Assistant Professor of Engineering and Society at the University of Virginia. He teaches courses that consider social and ethical aspects of technology and engineering practice. ©American Society for Engineering Education, 2024 Frankenstein Lives! Teaching Mary Shelley’s Novel in the Engineering ClassroomIntroductionMary Shelley’s novel Frankenstein, widely regarded as the first work of modern science-fiction
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
disciplines, were presented with information on issues related to the ethicaluse of LLMs for class assignments. The primary research question was: “What are students’perceptions of the ethical use of LLMs in college coursework?”The research employs a mixed-methods approach. The survey of student attitudes concerning theethical use of LLMs was conducted in courses from six different academic disciplines –engineering technology, computer science, political science, chemistry, health education andhistory – during the fall 2023 semester. Both quantitative data and qualitative responses on thesame survey, designed to be given before and after a short learning module, were collected, aswas a student assignment. Since the research centers on student
and Biomolecular Engineering at Clemson University in the fall of 2023.Michael J. Ardoline, Louisiana State University and A&M College ©American Society for Engineering Education, 2024Development of a learning module to teach chemical engineering students aboutmoral reasoning in the context of process safety.AbstractIncorporating ethics and ethical decision-making into the chemical engineering curriculum hasalways been a challenge given that much of this theory is covered outside of engineering, usuallyin philosophy departments. Nevertheless, moral reasoning has been a component of ABETevaluations for years which means that we need to identify how we can teach and assess therelevant components. Recent work
adoption in theirworkplace, address its ethical implications, and enable better communication about AI initiativeswithin the organization. It also demystifies the technology, and ensures leaders can responsiblynavigate AI-driven changes.Most AI-related courses mainly focus on teaching programming languages and handling big data.A closer look at AI adult education reveals gaps and limitations in content suitable forprofessional adults – e.g in leadership, decision-making, ethics, governance and cultural aspectsof organizational change. Furthermore, AI education pedagogy for adult learners,is stillunderstudied. Literature suggests that adults are self-directed, experience-based learners.Therefore, their learning should involve self-planning
emergencetheory. The goal of this section is to guide and ground our systematized literature review withinthe broader context.A Primer on Interdisciplinary Perspectives to Micro-Meso-Macro Perspectives (Levels)To understand Micro-thriving, Meso-thriving, and Macro-thriving, it is important to firstacknowledge the distinctions between the terms “Micro,” “Meso,” and “Macro”, and therelationships among these terms. The distinctions between Micro, Meso, and Macro have beenwidely acknowledged in engineering ethics and related fields such as economics, sociology, andpsychology, as they provide a framework for analyzing ethical considerations at varying levels ofscale and influence within complex systems [12], [13], [14]. The Micro-Level pertains toindividuals
justice and vocational psychologies and in recent years has examined the social cognitive factors that explain social justice and engineering engagement. ©American Society for Engineering Education, 2024 Do Social Justice Case Studies Affect Engineering Professional Responsibility?IntroductionEngineers solve complex problems that incorporate specific constraints, including cost, time,federal regulation, racial and economic disparities, and political power. As we train ourundergraduate students to solve these problems, it is required by ABET Student Outcome (4) thatwe provide them with “an ability to recognize ethical and professional responsibilities inengineering
equal partners in the engineering process, rather than people theengineers are ‘helping’. Following these two pillars, ethical and empathetic decision making are the thirdpillar, encouraging engineers to base decisions beyond traditional resource justifications, such as cost andtime. Howcroft et al. emphasize that these pillars need to be continuously integrated over the course of adegree program to be impactful.Figure 1: Empathy models adapted from their source literature on a continuum from decontextualized tocontext-driven.DiscussionEach model reflects the context in which it was created and can each aid engineering educators inimplementing empathy in their curricula. Zaki’s [6] model developed by a psychologist, is the mostdecontextualized
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
Department of Biomedical Engineering at the Univ. of North Carolina at Chapel Hill and North Carolina State University. ©American Society for Engineering Education, 2024 Work in Progress: Understanding Student Perceptions and Use of Generative Artificial Intelligence for Technical WritingOpen generative artificial intelligence’s (AI’s) ability to craft human-like text concerns educatorswho fear students will complete assignments without meeting course objectives. Currently, AIdetection is unreliable, adding to educators’ concerns. While these fears are valid, we believe thebest way forward is to teach students how to use this powerful technology ethically andeffectively. Best practices for using AI
employed the Elo and Kyngäs inductive analysis approach, extracting data for publicationyear, study objectives, number of citations, authors’ related publications, stakeholders addressed,stakeholder perceptions, AI4K12 content coverage, and ethical considerations. We analyzed eachtopic, finding commonality and uniqueness among the articles. By analyzing the objectives, wefound these articles highlighted four primary themes: curriculum and program development,teaching and learning methods, student engagement and perceptions, and inclusion and diversityin education. We also found that there was a significant increase in publications of this sortpublished in 2022, with a decrease in publications in 2023.Using our other extracted data, we were able to
curriculawill include • Themes such as sustainability and climate change, racial and economic justice, technology and its impacts on society, community engagement and experiential learning, and universal design. • Elements of professional formation such as ethical and cultural awareness, emotional intelligence, leadership and communication, and continual learning, among many others.The authors envision that this paper will be the first in a series of papers that document theprocess of integrating professional formation and the university’s mission into the ECEcurriculum at Seattle University. This paper will focus on reimagining the curriculum, whilefuture papers will focus on revising, implementing, and evaluating the
intricacies and depthof a student's development and progress. In contrast, capstone project data provides richqualitative, multidisciplinary, and context-driven information. However, they are morechallenging to quantify and assess, requiring a detailed rubric that aligns with the capstoneprojects’ objectives.Introduction:The mission of the Electrical and Computer Engineering (ECEN) Program is to equip studentswith a robust foundation in engineering fundamentals, instill the highest standards of professionaland ethical behavior, and prepare them to meet the complex technical challenges of society. Theprogram’s educational objectives (PEO) [1] are directly related to the student outcomes (SO),which describe skills, knowledge, and behavior that our
engineering ethics curriculum. This study provides valuableinformation on how students view AI and provides a framework for instruction of AI in existingcivil engineering courses. AI holds great promise for civil engineering, but caution is necessarywhen applying this technology so that it is incorporated in a way that preserves the reliability andreputation of the profession.IntroductionThe use of generative artificial intelligence (referred to herein as AI) has become widespread.Although the concept of AI is not new—it has been around since at least the 1950s—AI usagehas increased recently due to advances in computing, algorithm development, and dataavailability. The increased interest in AI is apparent in scientific literature. A search of
enablingthe development of interactive lab experiences, simulations, and practical exercises to integrateand create a greater understanding of AI capabilities. These innovations create authentic learningenvironments, equipping students with hands-on experience and honing their problem-solvingskills. This study also scrutinizes the ethical implications and challenges tied to theincorporation of Generative AI in education. It emphasizes the need for unbiased AI algorithmsand responsible usage while calling for comprehensive training and support for instructors inharnessing this innovative technology. In conclusion, this study intends to demonstrate that harnessing Generative AI inengineering technology education has the potential to
to consider and design with ethical, equity, andsocial justice implications in mind. Further, there is still a general lack of diversity ofstakeholder parameters in early engineering design classes. Introduction to systems engineeringcourses lack integration of current thinking on community engagement ethics and that absencecan be seen across the systems engineering curriculum, as well. We ask: How do we createlearning opportunities/engineering interventions that are technically sound, and also prioritizecommunity voice, cultural appropriateness, and contextual efficacy? In this paper, we reviewthree methods of stakeholder analysis taught in system engineering courses and identify whereand how one can integrate community voices through a
andtechnical knowledge. For example, student outcomes specified by the Accreditation Board forEngineering and Technology (ABET) and the Canadian Engineering Accreditation Board(CEAB) include the following [4], [5]: generating engineering solutions that meet specified needs and with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors, communicating effectively to different audiences, recognizing ethical and professional responsibilities when faced with engineering situations and resolving any dilemmas while accounting for the impact of solutions in global, economic, environmental, and societal contexts, and functioning effectively in a multi-disciplinary team.A
Paper ID #41641Engineering Identity Development Among International Students in UK FoundationYearDr. Madeline Polmear, King’s College London Madeline Polmear is a lecturer (assistant professor) in engineering education at King’s College London. Her research interests relate to engineering ethics education and the development of societal responsibility and professional competence through formal and informal learning. Madeline received her Bachelor’s in environmental engineering, Master’s in civil engineering, and PhD in civil engineering at the University of Colorado Boulder, USA. Prior to joining KCL, she was a Marie
, students are exposed to othernon-technical aspects of engineering, such as how engineering decisions might be influenced byother factors such as business, ethics, and socioeconomics. A third-year engineering capstonecourse was recently transformed to incorporate real-world problem statements and industrialmentorship. For the 13-week semester, students worked in teams of six or seven people to solvea problem statement that a company had provided. This study explored how students viewedindustrial partnerships in this capstone course. It specifically examined how it influenced theirperception of problem-solving, consideration for ethics, and overall confidence as engineers. Weused the stratified random sampling technique to select 16 participants
Paper ID #43414Work in Progress: A Novel Two-Semester Course Sequence that IntegratesEngineering Design, Sociotechnical Skills, Career Development, and AcademicAdvisingDr. Benjamin J. Laugelli, University of Virginia Dr. Laugelli is an Assistant Professor of Engineering and Society at the University of Virginia. He teaches courses that examine social and ethical aspects of technology and engineering practice.Dr. Keith Andrew Williams, University of Virginia Born in Georgia, USA; moved shortly thereafter to Jordan and then to southern Africa, including Rhodesia (Zimbabwe), Botswana, and South Africa, attending local/native
, multicultural ingenuity, and ethicalintegrity). Further, this framework argues that conscientious negotiation of risks and benefits forthe betterment and transformation of societies is underpinned by four reasoning quadrants(experiential reasoning, trade-offs reasoning, first-principles reasoning, and future reasoning),fluently examined through the core practice of multicultural ingenuity and ethical integrity. Thispaper details the theoretical foundations of the socially transformative framework and providesexamples of its pedagogical translations to guide pedagogy practices.IntroductionEngineering, as commonly understood, is the practical application of scientific and mathematicalprinciples [1], the creation of new products [2], and the procedures
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
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 Biomedical Engineering and Applied Mathematics.Sabrina Olson, University of MichiganRicardo Elias, California State University, Los Angeles ©American Society for Engineering Education, 2024 Developing Critically-Conscious Aerospace Engineers through Macroethics Curricula: Year 1IntroductionAbsent from the undergraduate aerospace
Paper ID #43129Design Iterations as Material Culture Artifacts: A Qualitative Methodologyfor Design Education ResearchDr. Grant Fore, Indiana University-Purdue University Indianapolis Grant A. Fore, Ph.D. is the Assistant Director of Research and Evaluation in the STEM Education Innovation and Research Institute at IUPUI. As a trained anthropologist, he possesses expertise in qualitative methods and ethnographic writing. His primary research interest is in the teaching and learning of ethics in higher education through community-engaged and place-based pedagogies. ©American Society for
, 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
for educators [7]-[10]. Concurrently, academicinstitutions are grappling with ethical implications, such as the lack of equitable access to AI, andacademic integrity issues, such as tensions around cheating, that GAI technologies might bring[11]-[13].This work-in-progress paper provides an initial exploration of engineering faculty perspectiveson students' use of AI assistance in homework completion. The research draws upon role identitytheory [14], [15] and activity theory [16] as guiding frameworks. By doing so, the full researchwill uncover the multi-dimensional views of faculty regarding student use of AI, investigatingthe similarities or differences across engineering disciplines and between proponents andopponents of AI assistance in
in ResearcherReflexivity, Adhering to Research Ethics, Framing the Research Problem and Questions,Identifying a Critical Framework, Conducting the Literature Review, Choosing ResearchMethods, Engaging with Participants, Crafting Instrumentation and Collecting Data, Analyzingand Interpreting Data, and Reporting on Research.After analyzing 12 standards bodies from seven countries and several dozen research articles[12–23], the working group created guidelines for each of the major areas. For example, Figure 2shows the resultant critical framework guidelines resulting from the analysis.4 ReflectionThrough our analysis, the working group merged valuable standards offering insights, guidance,and concrete examples for conducting education research
establishment of the Global Forum on Nuclear Education, Science, Technology, and Policy. Aditi holds undergraduate and doctoral degrees in Nuclear Science and Engineering from MIT. Her work, authored for academic as well as policymaking audiences, has been published in Nuclear Engineering and Design, Nature, Nuclear Technology, Design Studies, Journal of Mechanical Design, Issues in Science and Technology, Bulletin of the Atomic Scientists, and Inkstick. Aditi enjoys hiking with her dog, reading speculative fiction, and experimenting in the kitchen.Dr. Katie Snyder, University of Michigan Dr. Snyder is a lecturer for the Program in Technical Communication at the University of Michigan. She teaches design, ethics, and
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