Measurement Laboratory MIME 209 [3] Mathematical Applications Group D. 9-12 credits from: COMP 445 [3] Computational Linguistics COMP 550 [3] Natural Language Processing COMP 579 [4] Reinforcement Learning ECSE 415 [3] Introduction to Computer Vision ECSE 446 [3] Realistic Image Synthesis ECSE 507 [3] Optimization and Optimal Control ECSE 526 [3] Artificial Intelligence ECSE 544 [4] Computational Photography ECSE 552 [4] Deep Learning ECSE 557 [3] Introduction to Ethics of Intelligent Systems MECH 559 [3] Engineering Systems Optimization Or any 400 or 500 level special topics courses in the area of artificial intelligence with the
recognized an ASME Sparks Medal for his design and delivery of interactive learning experiences. His research has been in applied thermodynamics as well as scholarship of teaching/learning where he is widely cited for his work on process-oriented learning, assessment for learning, program assessment, and faculty development. ©American Society for Engineering Education, 2025 The Engineering Professional Skills Assessment 2.0: Preparing Engineering Students for Global Workplace ComplexitiesIntroductionProficiency in professional skills such as collaboration, knowledge application in contemporarycontexts, ethical judgment, problem solving, and
organization’s coherence. For exampleTELPhE, which was originally focused on technological literacy, received a remit in philosophy,which intersects with other divisions’ areas, such as ethics and liberal education.The fundamental questions facing ASEE and its divisions are: is its primary function to hold anannual conference and publish journals? If so, is this enough to sustain and grow membership?Or is ASEE’s purpose to promote research in engineering education that will have a broadersocietal impact? These considerations also apply to TELPhE, which must determine if it ismerely an internal discussion forum or if it should actively promote technological citizenship andengage in public discourse.For both ASEE and TELPhE, the challenge lies in adapting
Paper ID #46757Educating for DEI in Construction Engineering: Translating Findings onDisability Considerations on Worksites into Pedagogy and Course ContentProf. Sarah Jayne Hitt, New Model Institute for Technology and Engineering Dr. Sarah Jayne Hitt is the Lead for Transferable Skills at the Centre for Advanced Timber Technology and Founding Professor of Liberal Studies at the New Model Institute for Technology and Engineering in Hereford, UK. She specializes in curriculum development as well as integrating ethics, sustainability, and communication into engineering education, and serves as project manager for the Engineering
of GenAI presentsunique opportunities and challenges. In medicine, faculty must address the use of GenAI toenhance diagnostic accuracy, streamline administrative tasks, and analyze patient data, whilealso teaching students to navigate ethical concerns such as patient privacy, diagnostic errors, andthe balance between human clinical judgment and AI-assisted decision-making. Similarly, inteacher preparation programs, faculty are tasked with guiding future educators to critically assessGenAI tools for fairness, inclusivity, and their impacts on learning outcomes, ensuring thesetechnologies are applied ethically and effectively in diverse classrooms. In engineering education, faculty may leverage GenAI to enhance problem-solving skills
displacement of marginalized communities to be the most impactful aspect of the assignment.Students also highlighted increased ethical awareness, practical applications of communityfeedback, and a broader perspective on engineering’s societal implications. This paper reflects onthe course design and early outcomes of the intervention, demonstrating how historicallygrounded assignments can foster greater awareness of DEI considerations among engineeringstudents. By equipping students with the skills to critically assess the societal implications ofengineering decisions, the intervention lays the groundwork for creating inclusive urbanenvironments. Future efforts should focus on institutional support and scaling such initiatives topromote a more
learning experiences through curriculum and course design. Her primary teaching objective is to foster a lifelong learning mindset in her students by promoting critical thinking and problem-based learning. Dr. AbdelGawad’s teaching philosophy integrates real-life ethical dilemmas to encourage students to think deeply, challenge their opinions, and integrate ethics into their coursework to help shape them into successful, professional and socially responsible engineers. ©American Society for Engineering Education, 2025 Engineering Excellence through Strategic Team Management Shell Eco-Marathon STRATEGIES
will be analyzed using thematic analysis, following Braun and Clarke’s framework:(1) familiarization, (2) coding, (3) theme generation, (4) theme review, (5) themedefinition, and (6) reporting. Codes focus on critical thinking (e.g., analysis, evaluation,synthesis), decision-making, and AI use. NVivo software supports coding and themedevelopment. Critical thinking is measured by identifying instances of analysis (e.g.,breaking down design constraints), evaluation (e.g., comparing alternatives), andsynthesis (e.g., integrating AI insights with manual analysis) in journals and interviews.Comparisons to traditional methods are grounded in decision-based design principles.4.5 Ethical ConsiderationsThe study is IRB-approved, with informed consent
. This presented anopportunity to redesign the course to strengthen students’ design thinking skills by integratingpractical, real-life applications of BME. The redesign aims to create a transformative learningexperience that equips students with the skills and perspectives necessary to excel in a rapidlyevolving field. By prioritizing authentic engagement with real-world problems, the course seeksto inspire creative solutions that are ethical, user-centered, and sustainable, preparing students tomake meaningful contributions to the future of biomedical engineering. Assessment of theimpact of the redesigned course will involve a mixed-method analysis, incorporating pre/postsurveys, course artifacts (e.g. weekly deliverables ranging from
ethical considerations, scientific writing andpresentation development, human subject and animal research ethics, and graduate and medical schoolcareer guidance. Additionally, students participated in campus-wide social events including tours of campusand Northwest Arkansas, a game night at Arvest Ballpark, “Dinner and Dialogue” seminars and other eventsdesigned to bolster students’ sense of belonging and camaraderie.Large majorities of the students (5-6 out of the 7) reported Large or Very Large gains in acquiring newlaboratory skills, preparing a scientific poster, and understanding what day-to-day research is like.Additionally, large majorities of >5 students reported they were somewhat or very likely to pursue anadvanced graduate degree
took part in the camp. The camp aimed to enhance theirknowledge and skills in cybersecurity by offering a comprehensive blend of theoretical lessonsand hands-on activities. The curriculum not only focused on technical aspects, but alsoemphasized the importance of ethical and legal considerations when navigating the digital realm.Throughout the course of the camp, participants were encouraged to reflect on their learning bydeveloping detailed lesson plans, which they then presented on the final day. In addition, an exitsurvey was conducted on the last day to assess the camp's overall effectiveness. Overall, thecamp's combination of theoretical and practical components ensured that the participants gainedboth expertise and confidence needed to
either game as we will explain the rules during class. Furthermore, someliterature suggests that students think gamification is an engaging form of learning regardless oftheir prior gaming experiences [22]. Based on the learning objectives from Engineering for OnePlanet, the gamified course will expose students to environmental and social sustainability andsystems thinking. Students will develop skills such as teamwork, communication,problem-solving, critical thinking, and environmental assessment. Finally, students will alsoexplore ethical and technical problems. Our game design process includes identifying gamegoals, elements, dynamics, and mechanics and connecting them to the technical knowledge andskill objectives for statics.Game GoalsThe
, civil engineering students need both technical competencies andprofessional skills, such as the ability to communicate clearly, social aptitude,business acumen, ethical awareness, and an openness to others’ perspectives andideas. As courses focused on technical content leave little room to spare, muchdevelopment of such professional skills is outside the capacity of the traditionalcurriculum.A teaching technique to enhance student engagement and learning was attemptedin civil engineering courses at Mississippi State University periodically through aperiod of several years. The activity is called Ten Questions (10Q). In 10Q, studentsinterviewed professionals who work in a civil engineering field most relevant to thecourse subject. Students made
thedevelopment of evidence-based strategies for educational policy by gathering insights into theirobjectives for using Generative AI, their ethical considerations, such as concerns aboutmisinformation and policy ambiguities, and their recommendations for integrating Generative AIinto the curriculum. Understanding student behavior and perceptions is crucial; prior researchindicates that students predominantly maintain favorable attitudes toward applying Generative AIin academic contexts; however, they also raise valid concerns regarding accuracy and ethicaldilemmas. Our study offers quantitative insights into usage trends and qualitative perspectives onstudent recommendations, with a strong focus on a graduate-level STEM environment. Thefindings may
essential for solvingcomplex problems and working in multidisciplinary teams. This study aims to evaluate howSBL projects contribute to the development of social and professional skills in engineeringstudents. It examines which specific skills are enhanced through community projects and howSBL influences students' social responsibility and professional ethics. The research isconducted within the “Capstone Portfolio” course in Construction Engineering as part of aninstitutional initiative. In this project, students collaborate with women participating in the“Mujeres Jefas de Hogar” program, an initiative led by municipal public entities in Chile thatseeks to enhance women's access to personal and professional development opportunities.Over its four
critical exercises where students compare different platforms to determine suitabilityfor specific tasks, promoting a discussion on data ethics, privacy, and academic honesty. Topromote further implications for practice, the study showcases opportunities for reflection, bothas individual users and in groups through using Socratic Dialogue, as faculty and students testthe limitations of different platforms and address the ethics of using GenAI in a world thatincreasingly blurs the lines pertaining to Cyberethics.Keywords: Generative AI, Pedagogical Innovation, AI Usability Spectrum, Bloom’s RevisedTaxonomy, CyberethicsBackgroundWhen ChatGPT was released on November 30, 2022, it amassed a historic one million users inits first five days [1], with
[20], [7], [8], [17], 9 Civic engagement [14] Collaboration and [19], [14] Civic and ethical social development Collaborative exploration [18], [19], [14] engagement Respect for shared spaces [15], [14], Social skill development [7], [8], [14] 10 Sensory stimulation [21], [17] Leadership development [8] Sensory and Positive technological [13], [10][11], [14] emotional development Community
Conduct of Research (RCR), including research integrity and ethical practices. • Intellectual property rights, patents, and licensing. • Regulatory protocols like IRB, IACUC, and FCOI compliance. • Grant writing and proposal preparation. • Technology transfer and the commercialization of research. • Emerging topics in precision medicine and clinical inspiration for device design.The program’s holistic structure supports not only technical research skills but also the development ofsoft skills such as communication, teamwork, and time management. Events like plant tours andcollaborative workshops expose students to professional environments, broadening their understanding ofcareer applications.At the culmination of the
classrooms have long been sites of both struggle and possibility,where technical expertise can be cultivated alongside a critical understanding ofsocietal inequities and the systemic challenges faced by marginalizedcommunities. The integration of social justice and sustainability into engineeringeducation reflects a growing recognition that engineers are not just problem-solvers but also ethical actors with responsibilities to society and the environment.This transformative vision aligns with the Engineering for One Planet (EOP)framework, which equips engineering educators with tools to embedsustainability, equity, and justice into their curricula. By incorporatingframeworks like STEEP (Social, Technological, Economic, Environmental, andPolitical
theaccuracy of the returns.Methodologies and Limitations for Engineering Students using AIThe integration of artificial intelligence (AI) in the field of academic research has acceleratedinnovative changes in pedagogical methods, student outcomes, and ethical issues depending onthe discipline. Despite the numerous frameworks suggested for the integration of AI, there are notenough resources targeted at engineering and engineering technology students. This sectionincludes a review of seven frameworks that help students use AI tools in research and arepresented in a framework. While these frameworks are useful for understanding the technical,ethical, and pedagogical aspects, none fully describes the specific engineering domains’ needs.Therefore, we
module that emphasizes engineeringethics, including the ASCE Code of Ethics. The first is the “Environmental Theory” of FlorenceNightingale, the founder of modern nursing, who explains that, “…the chief purpose of the[nurse or engineer] is to modify the environment to prevent illness and enhance healing.” As partof the same module, students are introduced to the “Nursing Need Theory” of VirginiaHenderson who noted that the, “unique function of the [nurse or engineer] is to assist theindividual, sick or well, in the performance of those activities contributing to health or itsrecovery (or to peaceful death) that he would perform unaided if he had the necessary strength,will, or knowledge.” Thus, human health, and the health of the environment
social, ethical, andenvironmental consequences that their designs may elicit.Background ReviewSocio-Technical ThinkingIn recent years, engineering educators have been incorporating socio-technical thinking as part oftheir courses. Conventional engineering education frequently emphasizes technicalcompetencies, which may result in a deficiency in students' cognizance of the extensiveramifications of their endeavors on society. Socio-technical reasoning synthesizes both technicaland non-technical aspects, acknowledging that successful engineering solutions necessitate aharmonious integration of both facets to effectively confront intricate societal issues. Thismethodology underscores the importance of comprehending the societal context
challenges, particularly concerningplagiarism [28] and academic integrity [29]. Advanced AI tools, such as generative languagemodels, can produce essays, research papers, and other academic content that may be difficult todetect as non-original work. This raises concerns about students using AI to bypass learning andsubmit AI-generated material as their own. Beyond plagiarism, there is the challenge of ensuringthat AI tools are used ethically [30], as improper use can undermine the educational process anddevalue academic achievements. To address these issues, institutions must establish clearguidelines for AI use, educate students and staff on ethical practices, and invest in technologies toidentify and prevent misuse.Besides, the adoption of AI in
information, loss of critical thinking skills, and thepotential development of overreliance. Additional concerns emerged regarding ethical considera-tions such as data privacy, system bias, environmental impact, and preservation of human elementsin education.While student perceptions align with previously discussed benefits of AI in education, they showheightened concerns about distinguishing between human and AI-generated work, alongside ethi-cal issues of data privacy, system bias, and environmental impact. The findings suggest importantconsiderations for implementing AI chatbots in educational settings. To address students’ concernsregarding academic integrity and information reliability, institutions can establish clear policies re-garding AI use
addresses all seven ABET learning outcomes through lectures, workshops, team work, and individual assignments and culminates in a group-based final presentation and written paper. In addition to the project experiences, students complete several professional development activities intended to increase their understanding of various topics integral to the engineering profession, including economics, ethics, safety, social context, and technical communication. s part of their professional development, students were asked to develop their own performanceAassessments. At the beginning of the course, students were asked to design a series of activities they could complete in one month’s time in the categories of
the ability to work in or lead diverse teams. Ethical considerations arisingfrom cultural differences, understanding these differences in product design and engineeringtasks, and recognizing the interconnectedness of the global economy are also crucial. It alsoincludes exposure to international supply chain management, intellectual property, liability,business practices, and practical global experience. Finally, it encourages viewing oneself as aglobal citizen and appreciating worldwide challenges.I worried that our students hardly understood globalization or oversimplified it into ‘good’ or‘bad.’ I was sure they generally do not appreciate the profession’s role. Engineering is usingtechnology to solve problems, and engineering students often
intelligence (AI) into higher education has acceleratedsignificantly over the past decade, with AI increasingly being leveraged to personalizelearning experiences, streamline administrative processes, and enhance data-drivendecision-making. Despite this rapid expansion, there remain considerable challenges andgaps in knowledge regarding the effective and ethical implementation of AI technologiesin educational settings. Many institutions continue to grapple with issues related to dataprivacy, algorithmic bias, and the broader implications of AI on both teaching andadministrative practices. This work in progress seeks to explore the perspectives andexperiences of key stakeholders, specifically faculty and academic management staff,concerning the
and Scientists, the Gordon Maskew Fair Distinguished Engineering Educator Medal from the Water Environment Federation, the Engineering Education Excellence Award from the National Society of Professional Engineers, and the Robert G. Quinn Award from the American Society for Engineering Education. ©American Society for Engineering Education, 2025 Essentials of the Nurse+Engineer: Considering Nurses’ Awareness Raising of DEI Policy When Teaching Design in Engineering Education Daniel B. Oerther Missouri University of Science and Technology, 1401 North Pine Street, Rolla, MO 65409AbstractThe first tenant in the code of ethics of the Professional Engineer (PE
. Sociotechnical thinking, defined as engaging “the interplay betweenrelevant social and technical factors in the problem to be solved,” encourages students toapproach engineering challenges holistically, integrating technical analysis with societal,cultural, and ethical considerations [17]. This perspective seeks a more inclusive and sociallyresponsible approach to engineering, challenging traditional paradigms and expanding students’critical thinking. By engaging students with sociotechnical thinking by way of the ambiguities inherent ingeophysical methods in such cases and then collecting their responses, this study explores howengineering students perceive and respond to the integration of diverse ways of knowing andcultural knowledge systems
Paper ID #45692Foundational Methods for Inclusive Engineering Research: Reflexive DesignChoices to Foster Participation and Broaden ImpactDr. Elizabeth Volpe PhD, EIT, LEED-GA, University of Florida Elizabeth is a Civil Engineering postdoc at the University of Florida. Her research interests involve responsible and ethical AI in civil engineering, responsible engineering design, leadership, the experiences of early career engineers, social sustainability, and workforce sustainability. She is also interested in student and faculty development. Elizabeth received a B.S. from Clemson University and her and M.S. and Ph.D