study employs a comprehensive approach by incorporating both qualitative and quantitativesurvey questions to gather insights from faculty and students. It delves into various aspects suchas the extent to which educators embrace or oppose the use of genAI, specific use cases inteaching and research, and the ethical considerations surrounding the use of these technologies.Additionally, the research discusses students’ perspectives on the advantages and potentialmisuse of genAI tools in their education, providing a balanced view of the impact of thesetechnologies on engineering education. Through these two perspectives of educators and studentsanalysis, the study aims to contribute valuable insights into the evolving role of generative AI inthe
misinformation, over-reliance on technology, academic paradox highlights the complex and evolving nature of instruc-dishonesty, algorithmic bias, and data privacy. These findings tor perspectives on AI adoption.highlight the necessity of transparency, ethical AI development,and regulatory oversight to build trust. Addressing these chal- Building trust in AI tools is a crucial factor in theirlenges is vital for successfully integrating AI into education, successful implementation. Studies have shown that trust infostering an inclusive and dynamic learning environment. This AI among educators depends on multiple factors, includingstudy offers valuable insights for future research and practice
strategies. These results suggest the viability ofengineering education courses to not only increase students’ knowledge of their public welfareresponsibilities (the typical approach of ethics and professionalism courses), but to better equipthem to uphold their responsibilities as public welfare watchdogs.IntroductionFormal engineering education is one of the only institutional spaces with the explicit goal oftraining neophytes to become responsible members of the profession [1]. Once they graduate,engineering students are unlikely to receive effective public welfare responsibly training in theirworkplaces or professional societies [2]. Yet, due to curricular challenges like ever-expandingtechnical content that crowds out other topics and cultural
Engineering Education, 2025 Project-Based Learning and the AI4K12 Framework in High School AI Curriculum: A Systematic ReviewAbstract— This systematic literature review investigates how Project-Based Learning (PBL) andthe AI4K12 Five Big Ideas framework enhance high school students' AI literacy, includingfunctionality, application, and ethics. Six peer-reviewed empirical studies were synthesized toaddress four research questions: the observed learning outcomes and challenges of high schoolAI education, the use of PBL pedagogy, and the inclusion of the AI4K12 Five Big Ideas.The purpose of this study is to explore effective methods for integrating AI literacy into existinghigh school curricula. This urgency stems
sociotechnical education in theclassroom. [5] For example, we examine approaches to engage technically-minded students toconsider sociotechnical skills as central to their engineering education. This holds for broadengineering ethics courses as well as ethics modules embedded within core technical courses.Courses that explore engineering culture by integrating ethics and history encourage students,many of whom are interested in using teamwork to solve problems, to think how they mightimprove upon past collaborations if equipped with hindsight. We also discuss classroomexperience with students who are technically-minded (or expertise-minded) but have their homein Colleges of Arts and Science and major in pre-med, pre-law, or pre-business fields such
concepts, foster collaboration,fidence in ethical considerations, greater appreciation for AI’srole in learning, and improved career readiness. The results and build career competencies in line with the Nationalhighlight the transformative potential of AI when thoughtfully Association of Colleges and Employers (NACE) standards [7].integrated into coursework, fostering an inclusive environment To measure the effectiveness of these interventions, surveysthat enhances academic and professional development. This were conducted at the beginning and end of the semester.paper discusses the methodologies, findings, and implications for The findings reveal a shift in students’ perceptions of AIeducators aiming
support an engineering conceptdevelopment from cradle to grave. For SE students, that full life cycle planning and designhappens in their capstone course. The Systems Engineering Capstone class is usually taught asthe last course for any Master of Systems Engineering program. Within the class, students pursuea team project where they apply systems engineering methods to a specific problem. They thencreate the final deliverable with a systems engineering management plan. While students receivestrong technical training within this experience, ethical and justice-oriented skillsets andmindsets are lacking if not non-existent. For example, decolonization strategies – the ability tocritically examine systems and power differentials through systems
] suggestspotential biases and ethical issues, indicating that future research should address these concernsand develop user-friendly AI tools for education.From the learner’s perspective, Sokhibov et al. (2024) [5] suggested that AI can improve teachingeffectiveness, learning outcomes, and accessibility, but also raise concerns about data privacy,algorithmic bias, and the changing role of educators [5]. Their study [5] examines thetransformative potential, challenges, and ethical implications of integrating AI into highereducation, aiming to enhance teaching efficacy, personalized learning, and inclusivity. Researchers[5] suggested that future research should develop ethical frameworks and regulatory mechanismsto ensure transparency, accountability, and
systems, personalized assessments, and competency-presenting both unprecedented opportunities and formidable based models, are discussed alongside real-world applicationschallenges. This study describes the transformative role of of Gen AI in engineering practice. At the same time, criticalgenerative AI in engineering education and identifies both the ethical considerations (academic integrity, bias, and fairness)potential benefits and the inherent dangers. Academic integrityissues, overdependence on AI-generated solutions, and the are looked at as challenges that must be managed
focused on promoting diversity in the next generation ofneuroengineers to perform convergent science by integrating the latest advanced in neuroscience,engineering, and computer science in an ethical way. NeuralStorm promotes diversity andconvergent science by integrating multiple programs on campus, with core members beingneuroscience, psychology, biomedical engineering, computer science, mechanical and aerospaceengineering, and electrical and computer engineering. The program has since enrolled 16 fundedPh.D. student fellows, of whom 8 are women and 3 are underrepresented minorities. Everystudent who is interested in neuroengineering can register as an unfunded trainee and attend theevents organized by NeuralStorm. An additional 77 Ph.D
that prioritize transparency, personalization, and ethical safeguards.This study contributes evidence-based insights to guide educators, developers, and policymakersin ensuring the ethical and effective adoption of AI in education.Keywords: Generative AI, ChatGPT, perception, TAM, adoption, education, ethicsIntroductionArtificial Intelligence (AI) has emerged as a groundbreaking technology across industries, and itspotential in education is equally promising. It has reshaped how processes are conducted, decisionsare made, and interactions are facilitated. AI has demonstrated immense educational potential torevolutionize traditional pedagogies, enhance administrative efficiency, and improve personalizedlearning experiences. The capacity of AI
, we share the design aims and lessons learned from delivering the workshop tofurther the discussions on generative AI among faculty through an interdisciplinary, collaborativelens – in doing so, we identify two primary themes among our participants' perspectives ongenerative AI that are relevant to our future work: 1) a need for generative AI curriculumintegration and skill development and 2) a need for more exploration of its ethical and socialimplications.Structure of the WorkshopOur workshop explored four interconnected themes, thoughtfully chosen to promote a holisticand interdisciplinary understanding of generative AI and its societal impact. Drawing from ourexpertise in communication, philosophy, computer science, and engineering
University of Guelph, in addition to an MLIS from the University of Western Ontario. Her research interests include information seeking and evaluation, interdisciplinary applications of sociological theory, and critical librarianship. ©American Society for Engineering Education, 2025 From essential to ridiculous: Exploring instructor perceptions of empathy-focused instructionAbstractEmpathy skills have been recognized within engineering as beneficial in the context of design,ethics, and professionalism. However, the inclusion and success of empathy-focused instruction isdependent on instructors. This study investigates engineering instructors’ perceptions of empathyand
itslearning success. The dimensions of learning objective educational integrity even when AI tools are used.attainment are: Educators should identify tasks where AI assistance • Cognitive Depth - The cognitive complexity of an does not compromise the learning process but rather assignment can be measured using Bloom’s enhances it. Designing assignments that require human Taxonomy, which classifies learning into hierarchical judgment, ethical considerations, and nuanced levels: remembering, understanding, applying
practices, and the broader impacts of digitaltechnology use, is a pressing issue in our modern world. By incorporating digital wellnesseducation into the engineering curriculum, educators can equip students with the tools requiredto create more ethically minded and user-centric technologies. This study explores datacollection surrounding the implementation and integration of digital wellness content inundergraduate engineering education at the University of Calgary's Schulich School ofEngineering. Multiple methods were used to determine average daily digital technology use anddigital wellness perceptions in students and educators. The results suggest that students andeducators spend a significant amount of time using technological devices yet
of technical knowledge with social, ethical, and contextualconsiderations—is key to addressing these gaps and must be actively embedded intoengineering education (Reddy et al., 2023). Adopting sociotechnical approaches to engineering involves the intentionalconsideration of how the full realm of factors¾environmental, social, ethical,economical¾come to inform the needs of empathy-driven innovation. Of particularimportance in this approach is the need to proactively consider what the impact oftechnologies and innovations will be on people, society and the planet. To date, a hostof innovations have failed and/or proven to inconsistently perform as a function of usercharacteristics (i.e., hair texture in electroencephalography caps) due
short-term student experiences over long-term community outcomes, the RIDEEcosystem emphasizes ethical collaboration, shared knowledge, and sustainable infrastructuredevelopment. [2]At the heart of this model is a partnership network that includes universities such as CornellUniversity, The Ohio State University, and the New Jersey Institute of Technology, as well asnonprofit organizations like AguaClara Reach (ACR) and Agua Para el Pueblo (APP). Thesecollaborations have contributed to the construction of 25 gravity-powered water treatment plantsacross Central America, providing safe drinking water to over 100,000 people. The plants,designed to operate without electricity, are sustained by local communities, ensuring long-termfunctionality and
Paper ID #46249Issues at the Intersection of Engineering and Human Rights: Insights from aSymposium of the National Academy of EngineeringMs. Casey Gibson, National Academy of Engineering Casey Gibson, M.S., was an Associate Program Officer at the National Academy of Engineering of the U.S. National Academies of Sciences, Engineering, and Medicine from 2023-2025. She primarily helped lead initiatives related to the Cultural, Ethical, Social, and Environmental Responsibility in Engineering program. Gibson holds an M.S. in Humanitarian Engineering and Science with a specialization in Environmental Engineering from the
%) categorized it as MediumPriority, and 4 respondents (9%) categorized it as Low Priority.DiscussionObservation of the results suggested the following focus areas for our discussion: - the three skillsets that stand out to us are critical thinking skills, ethics, and a comprehensive understanding of the problem to be solved; - Mathematics and algorithms and Programming and coding had a relatively large number of responses that categorized them as Low Priority; - the three highest rated mindsets (ethics; lifelong learning, and adaptability/open mindedness) offer interesting insights.Skillset: Critical ThinkingCritical thinking is a cornerstone skill for both engineering as well as the integration of AIeffectively into our
/university) and or fabricate fake personas for identity theft and fraud.individuals in the workplace to become discerning users and Simultaneously, news and information sources areethical stewards of technology. Key themes include: i) Buildingthe Learning Paradigm: Establishing critical thinking, digital harder to authenticate, with contradictory narrativesliteracy, and cybersecurity as foundational elements in education emerging across outlets, making it increasinglyand workplace training. Understanding ethical, social, and difficult to assess accuracy
can be used in education in a creative and ethical way.Sidney Katherine Uy Tesy, Texas A&M University Sidney Katherine Uy Tesy is a second-year student at Texas A&M University’s College of Arts and Sciences, where she is pursuing a degree in Philosophy and Sociology (BA) and a minor in Psychology. She is a recipient of an Undergraduate Glasscock Scholarship, which has allowed her to engage in qualitative research on digital ethics, mobile apps, and social stigma, working alongside one her faculty mentors. Her research interests focuses on the intersection of technology and social institutions that concern education and legal systems.Dr. Kristi J. Shryock, Texas A&M University Dr. Kristi J. Shryock
are prioritized while social, ethical, and environmental dimensions aresidelined. This dualistic framing limits engineers' ability to engage in sociotechnical thinking[4], which is essential for addressing complex sustainability challenges.To effectively address the climate crisis, it is crucial for engineering education to go beyondthe traditional focus on technical skills. There is an urgent need to cultivate a deepunderstanding of the social, ethical, and environmental implications of engineering projects[5], integrating principles of environmental justice [6], [7] and sustainability into thecurriculum. This shift necessitates a re-evaluation of teaching methods, incorporatinginterdisciplinary learning, emphasizing real-world case studies
%), natural resources and environmental science (1.79%),biochemistry (0.89%), and more. In addition, majority students are juniors (32.1%) and seniors(65.2%). After covering the environmental risk topics, an environmental risk assignment aboutthe military burn pit exposure and TEAM Act (Toxic Exposure Associated Military) was giventowards the end of the semester. After analyzing the burn pit exposure issue from the perspectiveof environmental risk, professional and ethical responsibility, students were asked to writereflection essays to respond to the following questions: (1) How has this course connected youracademic preparation to the challenges of managing environmental risk in real-world scenarios?(2) How has this course influenced your personal
from Northwestern University and with her MS and PhD in Civil Engineering with an emphasis on Environmental River Mechanics from Colorado State University. Her graduate work focused on exchange of surface water and groundwater, as well as nitrate uptake, in streams with varying degrees of rehabilitation. Dr. Mueller’s areas of interest include water quality, sustainable design, watershed hydrology, and river hydraulics. Current projects involve pedagogical studies for incorporating sustainability and ethical decision making in undergraduate engineering education, with an emphasis on touchpoints throughout the four-year curriculum.Dr. Namita Shrestha, Rose-Hulman Institute of Technology
undergraduate education. Dr. Yao is a senior member of Institute of Electrical and Electronics Engineers (IEEE) and an active IEEE volunteer. ©American Society for Engineering Education, 2025 Study Historical Cases, Learn Today’s Tools, and Prepare for the FutureThe rapid development of artificial intelligence (AI) since the emergence of ChatGPT has beenoverwhelming. The swift transformation that such powerful and disruptive tools brought to theindustry urges engineering educators to prepare their graduates not only with the skills to usethese new tools, but with an understanding of the ethical and moral implications involved intheir applications. Inspired by Marcus Aurelius’ quote "To predict the future
2025 ASEE Northeast Section Conference, March 22, 2025, University of Bridgeport, Bridgeport, CT, USA. AI-enhanced Open Educational Practices (AIOEP) Managing Security, Privacy, and Ethics of Artificial Intelligence in Engineering Education Peter Cavanaugh Jun Zhang, Department of Technology Management Department of Technology Management University of Bridgeport University of Bridgeport Bridgeport, CT, USA Bridgeport, CT, USA
when engineers appreciate and strive forfairness [4]. Understanding the educational context and the importance of integrating equityissues is crucial to help engineers develop an equity ethic. However, the rigid and technology-focused nature of engineering education, rooted in meritocracy and a lack of political awareness,often prevents engineering students from exploring the social aspects of their field. To promotesocially just engineering practices, we must change how engineering students are taught andequipped to address issues of inequality in the workplace. Like in many other professions,engineering culture and values may be imparted to students through belief systems that arediscussed in more subtle ways rather than just fundamental
ColorAbstractThis WIP paper intends to supplement our current understanding of political awareness andethical disengagement among engineering undergraduates. As an integral part of the productionof globally-sold technology and weaponry [1-6], engineers in the United States need to have anactive and informed interest for global public welfare as well as the political applications of theirwork [7]. Part of developing this informed interest is supposed to occur as they get theirbachelor’s degree, as ABET expects graduates to be able to “recognize ethical and professionalresponsibilities in engineering situations” (Criterion 3: Student Outcomes) and make decisionsthat give weight to the global and societal impact of their work [8]. In spite of this effort
values, indicating avoidance of directly teaching or assessing them. Facultywith 6–10 years of teaching experience were more likely to express discomfort with teachingvalues directly, while older and younger faculty appeared more comfortable addressing theseoutcomes.1. IntroductionEngineering education occupies a critical role in preparing students for both professional successand societal impact [1]. Engineers hold a position of significant power and privilege in society,influencing the allocation of resources, opportunities, risks, and harms across diverse socialgroups [2]. This responsibility necessitates an educational approach that extends beyondtechnical proficiency to include the development of ethical and values-based competencies [3].In
while also addressing the systemicinequalities in the STEM ecosystem.Theoretical FrameworkThe theoretical framework that underlies this research integrates several concepts and theories thatare necessary to contextualize the challenges faced by racially underrepresented students in STEMentrepreneurship. We place a special focus on concepts that shed light on the motivating factorsthat would lead a STEM entrepreneur to take interest in using their knowledge to address racialinequities and create positive social change in their communities.The central concept in this framework is Equity Ethics, developed and created by Dr. Ebony O.McGee. Equity Ethics is described as one’s principled concern for racial and social justice as wellas the well-being