and swiftly. However, this shift also necessitates a reevaluationof the skill sets required in the workforce. Engineering managers will need to focus on developingskills in AI oversight, ethical use of AI-generated data, and integrating AI tools with human-centricdecision-making processes. The future work environment will emphasize collaboration betweenhuman intelligence and AI capabilities, where strategic thinking, creativity, and ethicalconsiderations in AI application become paramount [13]. Generative AI's impact extends beyondmere automation, heralding a new era of enhanced creativity, efficiency, and innovation inengineering management. By embracing these changes, organizations can unlock unprecedentedopportunities for growth
increased flexibility in thinking and an enhanced ability to comprehend needs inrelation to ecology, the environment, and providing agency and transparency in interactions withtechnology, particularly in an age of complex artificial intelligence (AI) systems. Thisnecessitates a deeper understanding and application of empathy and knowledge of globalcomplexities. It emphasizes flexible thinking to anticipate and access the ethical, economic,political, and health impacts of the proposed designs, technology, and solutions that students willengineer. These implications also encompass the broader health and addiction impacts oftechnology, as well as its effects on the social and the ecological fabric [10].The challenges confronting engineering include
Aeronautical University Jeff Brown is a professor of civil engineering at Embry-Riddle Aeronautical University in Daytona Beach, FL. His research interests include ethics and professional formation in engineering education, service learning, and structural health monitoring of reinforced concrete structures. Dr. Brown received his PhD in structural engineering from the University of Florida in 2005.Joseph Roland Keebler, Embry-Riddle Aeronautical UniversityJenna Korentsides, Embry-Riddle Aeronautical University 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
solicitation of the College of Engineering in 2020 and a three-yearredesign was undertaken and completed in Fall 2023 with its third iteration.This paper assesses how the redesign achieved the initial goals and how its delivery reflects thedesired characteristics. Four course outcomes were adopted: 1) Develop creative solutions byapplying engineering design, math, science, and data analysis, 2) Construct an effectiveprototype or model using technology and tools, 3) Demonstrate improved power skills(communication, teamwork, information literacy, professionalism), and 4) Employ NSPE Codeof Ethics to examine case studies and extrapolate for other situations. In terms of the courseoutcomes, this paper describes how students self-assessed their achievement
courses and explore opportunities for scaling up this project. In this paper, weexplore gaps in existing STEM curricula that demonstrate the need for such a course, describe outcomesof the workshop, outline essential elements of a course effectively introducing STEM students to thistopic (including historical and political context, moral and ethical frameworks, lived experience, humanrights principles, and technical and analytical skills, as well as suggested teaching strategies), and presentour own approaches, through the course we are currently piloting at Boston University called EngineeringApproaches for Refugee Health, in aiming to create a course that not only instills in students a long-termdesire to engage with the issue of forced
be used in education in a creative and ethical way.Dr. Kristi J. Shryock, Texas A&M University Dr. Kristi J. Shryock is the Frank and Jean Raymond Foundation Inc. Endowed Associate Professor in Multidisciplinary Engineering and Affiliated Faculty in Aerospace Engineering in the College of Engineering at Texas A&M University. She also serves as Director of the Craig and Galen Brown Engineering Honors Program. She received her BS, MS, and PhD from the College of Engineering at Texas A&M. Kristi works to improve the undergraduate engineering experience through evaluating preparation in areas, such as mathematics and physics, evaluating engineering identity and its impact on retention, incorporating
andimagination. While limiting technology's usage is impossible to stop, learning how to incorporate itefficiently in the educational system is essential. Integrating machine learning (ML) and artificialintelligence (AI) in education is a significant shift in educational methodologies. This transformationoffers the possibility to change learning approaches while presenting challenges in the ethical field.This research paper explores the impact of machine learning (ML) and artificial intelligence (AI),particularly large language models like Chat GPT, on education in our classrooms. This topic isessential because it signifies a change in the methods that educators and students use to engage in acourse, transforming the learning outcomes while upholding
Ethics Institute and the Leonhard Center for Enhancement of Engineering Education—to facilitate exchange and collaboration between philosophers and engineers. Prior to joining Penn State, he was a postdoctoral research fellow at the Science History Institute working on the history of engineering ethics education. Shih earned his PhD and MS in science and technology studies (STS) from Virginia Tech. He also has a graduate certificate in engineering education (ENGE) from Virginia Tech and a Bachelor of Science in electrical engineering from National Taiwan University. ©American Society for Engineering Education, 2024 Generative Artificial Intelligence (GAI) Assisted Learning: Pushing the
Paper ID #42803Countering Passive Engagement: STS Postures and Analyzing Student Agencyin Everyday EngineeringDr. David Tomblin, University of Maryland, College Park David is the director of the Science, Technology and Society program at the University of Maryland, College Park. He works with STEM majors on the ethical and social dimensions of science and technology.Dr. Nicole Farkas Mogul, University of Maryland, College Park Nicole Mogul is a professor of engineering ethics and Science, Technology and Society at the University of Maryland, College Park.Christin J. Salley, University of Michigan
Rui Liu, Behnam Ghalamchi Cal Poly, California Polytechnic State University, San Luis ObispoAbstractThis study presents an in-depth exploration of the implications of integrating digital twins intoengineering education. Drawing on an extensive review of published research papers, conferencepapers, and case studies, the research is structured into several key chapters focusing on thedefinition of digital twins (DT), their relationship with engineering education, their influence ondiversity and inclusion, and their alignment with ethical engineering principles. The studyculminates in proposing a novel approach to integrating digital twins into engineering education.We propose a new lab for the mechanical vibrations course
urbaninfrastructure and equity as a subject for critical reading and writing. At Gonzaga University, amedium-size private university, a first-year seminar is designed as a multidisciplinaryexploration of infrastructure and equity. One of the primary learning outcomes of the course is todifferentiate the ways in which knowledge is constructed across multiple disciplines, soinfrastructure’s impact on society is viewed through the lens of sociology, history, public health,economics, and engineering. At the University of Colorado Boulder, a large research-intensiveuniversity, a 1-credit civil engineering seminar course touches on the topic of infrastructureequity through the lenses of engineering ethics and sustainability. In all three courses, studentscreated
Leveraging Large Language Models in Education: Enhancing Learning and Teaching Professor Hossein Saiedian The University of KansasAbstract. The integration of Large Language Models (LLMs) into education represents asignificant advancement in the realm of teaching and learning. This paper explores thepotential benefits, challenges, and ethical considerations surrounding the use of LLMsin education. Through a detailed analysis of various LLM tools, including ChatGPT, andpractical examples, this paper demonstrates how LLMs can enhance personalizedlearning, improve teaching practices, and empower both students and educators in thedigital age.Keywords
in Engineering Education from Purdue University.Chrystal S JohnsonSiddika Selcen Guzey, Purdue University ©American Society for Engineering Education, 2024 Project DECIDE: A K12 Civics and Engineering Education Curricular Partnership (Works in Progress)IntroductionMany have expressed concern about ethics and civic-mindedness of engineers and theirreflection on their responsibility and public impact of their work[1]. Universities hope tograduate ethical engineers, but may not have intentionality about the education towards civicresponsibility. Lin and Hess[2] argued that civic responsibility requires special attention inengineering education. Hess and Zola[3] found that few youth
ofengineering and computing as professions and disciplines. The course is designed to serve as afoundational exploration into the interconnected worlds of engineering principles andcomputational problem-solving. The course covers professional and ethical considerations, careerdevelopment, and communication skills vital for success in these fields. Students are alsointroduced to the resources available in MakerSpace, including but not limited to 3D printing, lasercutting, and microcontroller applications. Through hands-on projects and instructional activities,students explore fundamental concepts in engineering while fostering critical thinking andproblem-solving skills. This paper outlines the course, and the project structure details, andprovides a
also been the PI on an NSF REU site focused on multi-scale systems bioengineering and biomedical data sciences, a collaboration involving faculty in SEAS, SOM, SDS, and CLAS at UVA, as well as six partner institutions in the mid-Atlantic and Southeast. Dr. Allen has been the recipient of 11 teaching awards and honors and is an elected Fellow of AIMBE. ©American Society for Engineering Education, 2024Work-in-Progress: A collaborative, principle-focused curriculum design process for a BMEundergraduate programHow biomedical engineering (BME) students learn to approach problem-solving is critical—theymust consider ethical and societal implications; develop and implement systems of increasingcomplexity
should be taught when viewing through the lensof teaching CS to high school students in the year 2030 and what content should be prioritized.Our analysis sought to delineate and synthesize their sentiments. Six major priorities emergedfrom our analysis: societal impacts and ethical issues, algorithmic thinking, data and analysis,inclusive computing culture, AI, and career knowledge. The significance of our findings is thatthey present a broad overview of what a variety of relevant parties consider to be the mostimportant CS content for high school students; this information is important for educators,administrators, and those who develop curriculum, standards, and/or teaching tools.1 Introduction and BackgroundThe field of computer science (CS
the team.ethics, group development, peer review, public speaking, and technical applying skills with their group.communication are essential for lab managers to be successful mentors. We 3. At the end of the semester, labcreated seven three-to-five-minute videos to teach ETMET students about each of • Equips LMs with the skills and knowledge to address ethical managers will take a 20the
coursesnot only enhance students' knowledge in the energy domain but may also raise awareness aboutthe growing demand for energy. The focus of instruction is often on engineering design, analysis,and technical problem-solving, with less emphasis on dealing with sustainability and other globalissues. Also, students who opt for other electives within the electrical engineering major may notget effectively exposed to the energy crisis or its environmental impact and the need forsustainable solution.Ethics education in engineering curricula at many universities is typically delivered througheither a standalone ethics course or by integrating it into "bookend" courses, such asIntroduction to Engineering and senior-level Capstone courses. Often, selected
].The codes mostly fell under one of two main categories: positive comments and negative comments.Table 2 below provides a list of the codes that fell under each category, as well as an example commentfor each one. Table 2: Different Categories of Student Responses with Examples for Each One EXAMPLE POSITIVE COMMENTS About teammate's work, work “He was very good about getting the most out of everyone. Very ethic, and/or personality committed to creating a good product for every assignment.” “I feel that the work has been evenly and fairly distributed across About entire team's work
International Humanitarian Trips: Objectionable or Estimable? Katherine Abrey, Maddy Cronin, Deanna Malone, and Libby (Elizabeth) Osgood Faculty of Sustainable Design Engineering, University of Prince Edward IslandAbstractThe ethical considerations surrounding student international humanitarian trips are complex. Thisarticle considers the benefits and drawbacks of such trips by examining existing literature anddiscussing personal experiences. The positive aspects of these trips for communities includeessential work being accomplished, economic support, and job creation for support staff. Thebenefits for students include professional, personal, and technical growth, global awareness,research opportunities, leadership
the follow-up question, why do engineers solve problems?is not as frequently communicated. Engineers solve problems for the benefit of society. Evidencefor this role is seen within the National Society of Professional Engineer’s code of ethicscannons and rules of practice, the first of which is “Engineers shall hold paramount the safety,health, and welfare of the public [1].” While not every engineer will be providing individualizedproblem solutions, i.e. care, the discipline of engineering is intended to provide solutions andcare to society. Engineers are societal caregivers. The problems engineers are called on to solve, are complex, not just from anintellectually rigorous perspective, but also from the myriad of societal, ethical
and signal Data collection and signal Hardware processing processing13 Machine learning for EEG-based Machine learning for EEG-based Data Analysis BCI BCI14 Machine learning for EEG-based Machine learning for EEG-based Data Analysis BCI BCI15 Ethics in BCI Ethics in BCI Summary Sessions16 Student’s project presentation Student’s project presentation Presentation2.3.1 Neuroscience Concept The first portion of the course focuses on an introduction to BCI and the
- ter. Outside of academia, Dr. Szajnfarber has worked as a systems engineer at MDA Space Missions (Canadarm Program) and Dynacon Inc. (Microsatellites); and as a researcher at the European Space Agency (Advanced Concepts Team).Dr. Robert Pless, The George Washington UniversityRyan Watkins, The George Washington University ©American Society for Engineering Education, 2024 Building Interdisciplinarity in Engineering Doctoral Education: Insights from DTAIS Summer IncubatorAbstractIn an era where the ethical, social, and technical complexities of artificial intelligence (AI)demand innovative approaches, the significance of diverse
faculty members in Environmental Engineering as well as facultyfrom Civil Engineering, Chemical and Biological Engineering, History and Philosophy, BusinessManagement, Political Science, and English. From the outset, the team adopted an outcomes-based approach to curricular redesign. In the first phase of the project, the multidisciplinary teamdeveloped a comprehensive list of knowledge, skills, values, and attitudes desired in successfulenvironmental engineering graduates. Targeted competencies encompass discipline-specifictechnical knowledge, as well as cross-disciplinary skillsets related to ethics, communication,teamwork, social justice, economics, sustainability, and public policy. The list of desired studentlearning outcomes was produced
]. The existing literature, though in its nascent stage,has started to uncover several dimensions of GAI’s influence on assessment, highlighting thetransformative potential of GAI in education alongside ethical considerations and the necessityfor responsible implementation strategies [6], [7], [8].Herein, we present a portion of a larger study on engineering faculty members’ mental models ofassessment in the era of GAI. The overarching question for this study is:RQ: How do engineering faculty members’ responses to the arrival of GAI in their assessmentpractices vary based on their demographics?By answering this research question, we aimed to explore if there are trending responses acrosscertain demographics as a start of our study. The findings
improve the extraction of information, expedite processes, and maximize efficiency in construction management [3]. 7. AI Ethics and Sustainability: a. Teach students about the ethical considerations of AI in construction, including data privacy, bias mitigation, and responsible AI deployment. Emphasize the importance of AI in promoting sustainability in the construction industry. Ensuring ethical considerations is crucial in order to mitigate any hazards and prevent any instances of unfair benefits[8]. b. Regulations should encompass matters such as the process of making decisions in crucial circumstances and guarantee impartiality within the
requires ethical responsibility to ensure equity and 85 justice. The interconnected relationship between sustainable development, transportation systems, 86 and human rights becomes apparent by studying their principles and values. Human rights are at 87 the core of the Sustainable Development Goals (SDGs), and 14 out of 17 are, in turn, affected by 88 public transportation in the United States [9]. Furthermore, main concepts such as (a) accessibility, 89 (b) inclusivity, and (c) intergenerational equity have made their way into transportation, 90 emphasizing the critical need for a comprehensive understanding of the long-term consequences 91 of transportation decisions on the environment. At its core, sustainability in
AI in Higher Education The unstoppable use of AI tools by students has prompted institutions of higher educationto assess the impact of this emerging technology within their academic settings. Whileuniversities have begun to address this trend through their academic integrity and ethics policies,students will continue to utilize AI regardless of rules and regulations that support or forbid useof AI. Educators must equip themselves and their students with information literacy and criticalthinking skills, which will help ensure that students utilize AI ethically and responsibly.Focusing on effective use, rather than forbidding use entirely, will better prepare students forsuccess academically and professionally. As educators, the
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
in teams of 3-4, each with a defined rolemodeled after those from the medical devices industry. Teams explored three medical deviceunits in spring 2022: surgical staplers, breast pumps, and stents. Each 4-week unit consisted offour key topics: needs identification, design requirements, regulatory, and ethics. The coursefocused on understanding these existing devices and their limitations, not on designing a newdevice. To scale up the needs-finding benefits of traditional clinical immersion courses whileavoiding some of the restrictions [5]-[7], students accessed the voice of the customer (VoC)through pre-recorded video interviews conducted by the instructor. Each unit included 4-5 VoCinterviews with medical device users and clinicians, which