tools in thesenior capstone design project considering those hypotheses. The survey, located in Appendix A,asks the students to describe how their team collaborated during the previous week, rate theircontentment with their work role on a scale of 0-10, and rate their team member’s level ofengagement and work ethic in the previous week on a scale of 0-10. H-1 will be evaluated usingthe results of this survey. H-2 and H-3 will be evaluated using a combination of the surveyresults and final prototype testing and presentation results.4. Case Study – Design of Aeronautical Fixture for Undergraduate Education LaboratoryThe Senior Capstone Design course is traditionally a semester-long, sponsored design project forsenior mechanical engineering
concepts, andengineering tools like Excel and GIS in a project-based learning format. EENV 202, SustainableWaste Management, combines systems thinking concepts, an introduction to ethics and socialjustice topics, and technical content related to solid and hazardous waste management with a life-cycle assessment project on laboratory waste streams. The initial offering of these courses tookplace in the 2023-2024 academic year. This paper reviews the design and implementation ofthese two new project-based courses and shares lessons learned. The findings can guide otherprograms in collaboratively designing integrated project-based engineering courses (IPBC) forfirst- and second-year students.1.0 IntroductionEnvironmental Engineering (EENV) faculty at
values among engineering talents. Engineering education in China hastraditionally focused more on the imparting of professional knowledge and skills, buthas not placed sufficient emphasis on the content related to engineering philosophy andculture. Particularly, in the "Washington Accord" which outlines the qualityrequirements for engineering graduates, aspects such as "Engineers and Society,""Professional Ethics," and "Environment and Sustainability" are relatively lacking.There is an almost complete absence of dedicated courses on these topics at theundergraduate level.Purpose: Consequently, Zhejiang University has introduced the "EngineeringPhilosophy and Culture" course for all first-year engineering students, making it the"first lesson" for
expectations, supporting faculty intheir development, communicating effectively, behaving ethically, and managing the departmentin an organized and fair manner are valued for leading, developing, and supporting faculty.IntroductionEffective department head or chair leadership is an important part of both faculty and studentsuccess. The civil engineering community has invested significant effort into developingoutstanding faculty over the last 25 years through the American Society of Civil Engineers(ASCE) Excellence in Civil Engineering Education (ExCEEd) Teaching Workshop [1, 2]. Whilethere is evidence that the ExCEEd Teaching Workshop also develops great leaders [3] andfosters an inclusive environment [4], there has not been much effort applied to
sustainability, human-centricity, and resilience of industrial systems [2], [3], whereengineers are key players [4]. These societal and technological shifts demand not only technicalproficiency but also a blend of adaptive, interdisciplinary, and ethical capabilities [5], [6].However, existing engineering competency models lack empirical grounding in this new contextand do not sufficiently reflect the holistic skillsets now required [6]. This study addresses thatgap by empirically validating a future-oriented competency framework aligned with the evolvingdemands of Industry 5.0.2 Literature ReviewThe industrial landscape has undergone significant transformations from Industry 1.0 to Industry4.0, and with the steep trajectory, we can reach Industry 5.0
path to follow are some of life’s biggest.Further, decisions about where and who to work for are value-laden. Especially for soon-to-beengineering graduates, job choices can have distinct social and ethical pressures from oneself,friends, family, and society given that engineering work can conflict with societal beliefs aboutwhat is “good” (i.e., manufacturing weapons for the military, mining for precious metals, drillingfor oil, etc.). Although what is “good” may differ from person to person, the engineeringprofession has a duty to society often referred to as social responsibility. Social responsibility ishighlighted by professional societies and academic bodies as a key engineering principle [1], [2][3], and several Bodies of Knowledge (BOK
principles for equity-centered engineering education are therefore instructional infocus and address the development of equitable classroom environments, including equitableassessment strategies, and the need for assessment of equity content. To date, most publications on equity-centered engineering course implementationsdescribe efforts in engineering design or ethics courses and modules. This may suggest that anequity lens is only or most relevant in those courses; however, if the goal is to promote students’capacity for equity-minded engineering practice, educators must center equity in a variety ofimpactful courses across students’ academic paths [17]. Indeed, Leydens and Lucena [18] arguethat engineering science courses are perhaps the
students to thinkcritically about ethical considerations in engineering and empowers them to propose approachesthat promote inclusivity in design while thinking about how to mitigate and/or prevent bias.These objectives align with the course's broader goal of developing sociotechnical mindsets thatbridge the gap between technical expertise and social responsibility. The activity specificallyaddresses one of the course's guiding questions: "In what ways do cultural, personal, and societalfactors influence engineering decisions, processes, and outcomes, and how can we activelymitigate biases in these areas?" By engaging with this question through concrete examples,students begin to understand their responsibility as future engineers to create
Paper ID #49512Discussion Lead Paper for TELPhE Session on AIDr. Jerry W. Gravander, Clarkson University JERRY W. GRAVANDER is past chair of Clarkson’s University’s Department of Humanities and Social Sciences and currently is the co-chair of Clarkson University’s Department of Arts, Culture and Technology. He has written and presented widely on liberal education for engineering students, as well as engineering ethics and the philosophy of engineering. He was the 1996 recipient of the Sterling Olmstead Award of ASEE’s Liberal Education Division. ©American Society for Engineering Education, 2025
Paper ID #47445WIP: Self-tracking Time-On-Task to promote self-organization skills in anUndergraduate Engineering Design CourseDr. Constanza Miranda, The Johns Hopkins University, Laurel Constanza is a multidisciplinary academic interested in the intersection between the creativity of design, the ethics of cultural anthropology, and the tech aspects of engineering. She is the Assistant Dean for undergraduate mentoring at the Whiting School of Engineering in Baltimore and an associate teaching professor in BME. She holds a Ph.D. in Design with a focus in anthropology from NC State University and was a Fulbright grantee. As
content (e.g. economics, ethics) and skills (e.g. writing, oral presentations) that are usefuland necessary for both personal and professional development. However, students can often seethese courses as not useful or unrelated to their future careers. In this study, a first semestercourse in Civil Engineering was designed and delivered to make deliberate and clear theconnections between the general education portion of the curriculum and students’ future careersas civil engineers. An existing instrument was adapted to measure student aptitudes towardsdifferent skills and knowledge typically presented in general education courses and given to thestudent pre and post instruction, revealing statistically meaningful increases in the
project is approved by the Cal Poly IRB (2024-120-CP) and does not require anonymization of the department or institution. We intentionallysituate this project in the specific context of this work.This paper examines seven different syllabi in two junior-level courses and highlightssimilarities and differences in policies, teamwork dynamics, and emphases on ethics anddiversity in different sections of these courses via thematic analysis. ● “Computer Architecture” is the second course that students are introduced to in the realm of Computer Architecture and Organization, following one of two introductory Computer Organization courses. The course includes quizzes, labs, and exams focused on a particular ISA (Instruction Set
elements effectively and creating content tailored to both students andinstructors.IntroductionThe majority of engineering undergraduate programs lack sufficient guidance on social andethical responsibility in the field of engineering. Both the U.S. National Academy of Engineeringand ABET accreditation emphasize the necessity to embed ethics and social responsibility toaddress ethical, global, cultural, social, environmental, and economic impacts [1]-[3] Researchhas consistently demonstrated the value of sociotechnical awareness in engineers. For instance,engineers must prioritize public well-being and ethical responsibilities in their work [4]-[8],understand the societal impacts of engineering solutions [9]-[12], and challenge cultural normsthat
education culture and institutional change, focusing on marginalized students and educators. An AI enthusiast, Kellam explores the ethical and equity implications of generative AI in engineering education, leveraging AI to foster human connection, challenge inequities, and prepare students for an AI-driven future. ©American Society for Engineering Education, 2025 Critical Consciousness, Equity, and Speculative Futures: Reframing AI as a Catalyst for Human Connection and Systemic Change in Engineering EducationThis practice paper explores the intersection of power, equity, and artificial intelligence (AI).Through a theoretical argument and three narratives about my
between the groups and anotable preference for a more structured and practical educational approach, especially amongstudents with a more robust foundational knowledge. This highlights the relevance of personalizedand applied teaching methods in real-world contexts.This approach examines how AI tools can be effectively integrated into an educationalenvironment, preparing students to face future technological challenges with an innovativeperspective on information systems management.Keywords: Artificial Intelligence (AI), Information Systems (IS), Alternative Evaluation,Automatic Code Generation, Operational Efficiency, Decision Making, Automation, AI Ethics,Information Management, AI Tools.IntroductionIn the digital era, Artificial Intelligence
1Engineering Just Futures: Preparing Engineers to Integrate Technical, Sociocultural, and Environmental Perspectives [Work in Progress]Engineers of the future need to not only be technically skilled but also able to address complexproblems that include social, cultural, ethical, and environmental dimensions. Undergraduateengineering education therefore needs to prioritize the diverse skills needed for complex problem-solving practice [1]-[3]. Traditionally, undergraduate engineering education programs havefocused on technical training in the engineering sciences, to the exclusion of broader concerns [4]-[6]. There are, however, a growing number of programs that aim to expand engagement withsocial, cultural, and environmental
opportunities for students to apply technical learning in a real world context in additionto building professional teamwork and communication skills. However, students often focusmore on the technical solutions and deprioritize the contextual and human factors in design. Thishas been described as an instrumentalist orientation, which focuses on engineering education as anarrow means to solve technological problems and provide job training [3], [4]. Scholars have called for integrating STS theory into engineering education to expandstudents’ understanding of engineering practice [5], [6]. While ethics education is required forABET accreditation, many engineering ethics units are reductive, based on Western/GlobalNorth perspectives, and focused
addresses the integration of artificial intelligence (AI) topics intointroductory engineering courses. With the proliferation of AI in everyday life, it is important tointroduce the topic early in the engineering curriculum. This paper focuses on generative AI andmachine learning topics using two different educational strategies. The objective of this researchwas to explore students’ comprehension of AI and their motivation to engage in AI learning afterbeing introduced to AI tools.In a first-semester project engineering course, generative AI was introduced as a tool. Studentswere guided on the ethical and effective use of generative AI and were encouraged to discuss itslimitations. Students had the option to use generative AI for their writing
Paper ID #47821Exploring the Intersection between Lifelong Learning and Workforce Developmentin EngineeringMr. Arsalan Ashraf, Virginia Polytechnic Institute and State University Arsalan Ashraf is a Ph.D. student in the Department of Engineering Education at Virginia Tech. His research interests include AI ethics, ethics and social responsibility, and lifelong learning. He has broad experience in academia and industry, which motivates him to do research on these vibrant areas. He is a first-generation student from a small village in Punjab, Pakistan. He completed his B.S. in Aviation Management from Lahore in 2017, and
demand for professionals equippedwith unique skill sets that complement AI systems is surging [1], [2]. To maintain a competitiveedge in this evolving environment, educational institutions must prepare students not only withtechnical knowledge but also with professional skills such as critical thinking, adaptability,creativity, collaboration, and ethical decision-making [3], [4]. These competencies are essentialfor thriving in AI-enhanced workplaces, where traditional roles are being redefined, andinterdisciplinary approaches are becoming the norm. In light of these challenges, the role ofeducators is pivotal in reshaping curricula and teaching strategies to address the gaps betweentraditional education and the demands of AI-driven industries [5
Technology Program. Thecurriculum revision focused on two key topics from the EOP framework: EnvironmentalLiteracy and Responsible Business and Economy. Through this integration, students wereintroduced to sustainability principles such as whole life cycle thinking, closed-loop systems, andinclusive business models that prioritize product durability, ethical practices, and responsivenessto evolving social, economic, and environmental demands. Retrospective pre- and post-courseevaluations revealed significant improvements in students' understanding of sustainabilityconcepts. These improvements were demonstrated by their ability to recognize opportunities foraddressing environmental challenges and assess risks and trade-offs in sustainable
are fourkey areas which will be most impacted: TK, TPK, TCK and TPACK as a whole. TechnologicalPedagogical Knowledge (TPK) focuses on how AI can enhance instructional methods, such asusing AI-driven analytics to track student progress or implementing chatbots for personalizedtutoring. Technological Content Knowledge (TCK) addresses how AI can facilitatesubject-specific instruction, such as using AI-driven simulations in engineering or automatedtranslation tools in language learning. Recent studies emphasize the importance of facultydevelopment in AI literacy, particularly in establishing clear institutional guidelines on ethical AIuse and assessment (Gambhir et al., 2024).While TPACK provides a structured approach to technology integration
academiccommunity. There is ongoing debate about whether faculty should teach students how to use GAItools, restrict their usage to maintain academic integrity, or establish regulatory guidelines forsustained integration into higher education. Unfortunately, limited research exists beyondsurface-level policies and educator opinions regarding GAI, and its full impact on studentlearning remains largely unknown. Therefore, understanding students' perceptions and how theyuse GAI is crucial to ensuring its effective and ethical integration into higher education. As GAIcontinues to disrupt traditional educational paradigms, this study seeks to explore how studentsperceive its influence on their learning and problem-solving.As part of a larger mixed-methods study
suggests that while GenAI tools can improve problem-solving and technical efficiency, engineering education must also address ethical, human-centered, and societal impacts. The dVC framework pro- vides a structured lens for assessing how GenAI tools are integrated into curricula and research, encouraging a more holistic, reflective approach. Ultimately, this paper aims to provoke dialogue on the future of engineering education and to challenge the prevail- ing assumption that technical skill development alone is sufficient in an AI-mediated world.1 IntroductionWe take as our starting premise that engineers have a responsibility to society, and conse-quently, that engineering educators have a responsibility to convey
Colorado Boulder in the Department of Civil, Environmental, and Architectural Engineering (CEAE) and Director of the Engineering Education Program. She has been active in the American Society of Civil Engineers (ASCE), including service on the Body of Knowledge 3 Task Committee and the most recent Civil Engineering Program Criteria Task Committee. Bielefeldt’s engineering education research interests include ethics, community engagement, and sustainability. She is a Fellow of the American Society for Engineering Education (ASEE) and a licensed Professional Engineer in Colorado.Dr. Rhonda K Young P.E., Gonzaga University Rhonda Young is an associate professor in the Department of Civil Engineering at Gonzaga University
a growth in academic integrityfilings since the advent of ChatGPT. In fact, [2] points to a Stanford University survey where1/6th of students said they had used ChatGPT on assignments or exams. This article [2] alsopoints towards the issues of hallucinations, where AI focuses on generating text that sounds goodbut may not be scientifically accurate. However, [1] also points to potential efficiencies andutility of AI in higher education, such as teaching ethical use of AI, growth of tutoring/teachingassistants and for operational efficiencies. Auon [3] discussed the impact of AI on the humanexperience in physical (personalized medicine/drug delivery and disease identification),cognitive (increased workplace productivity, focused effort on
by AI has made AI literacy a crucial competency forindividual development, turning its cultivation into a “human issue [3].” This need isparticularly urgent for higher education students [4], as industries worldwide require top talentswith AI literacy to drive the intelligent transformation of business processes and products,while making trustworthy and ethical decisions [5]. In response, students are calling for AIliteracy to be integrated into their higher education curricula to better prepare for the challengesof the intelligent era and future careers. For instance, a survey on the use of generative AIamong undergraduates [6], found that students most commonly recommended offering relevantcourses and lectures, with a particular focus on
and equity causes” [6, p.708]. As such, Black facultymentors see current and prospective student mentees as an extension of themselves [6]. In response,Black faculty mentors apply social empathic and equity ethic practices in their mentoringapproaches, which builds trust and rapport with students [6]. As a result, Black faculty mentors areflooded with a disproportionate number of requests from students as well as institutions toparticipate in formal and informal diversity-related service as compared with their Whitecounterparts [6]. However, there is still an overall lack of knowledge of the types of asset-basedstrategies used by Black faculty mentors [8]-[10] in lieu of their cultural taxation [6] and howprofessional development can be used
curriculum frameworks thatemphasize systems thinking, ecological literacy, and holistic problem-solving approaches [2]. Byintegrating sustainability principles across technical disciplines, universities can cultivate a newgeneration of engineers who are not only technically proficient but also ethically conscious andenvironmentally responsive. This paradigm shift requires ongoing pedagogical innovation andinstitutional commitment to reimagining engineering's societal role.Realist review, or a realist synthesis, is a method for studying complex interventions in responseto the limitations of conventional systematic review methodology as it examines the differences,intended or unintended, between contexts, mechanisms and outcomes for individual
central cognitive andbehavioral learning outcomes students should develop in community-based, sociotechnicalengineering design education. Others point to frames of thinking about people and communities,such as asset-based (i.e., vs. deficit-based) thinking and reflexive engagement [7]. More still,others point to the need for paradigmatic shifts in the ways engineers learn about and engagewith ethics education. For example, Devon and Van de Poel [10] argue for a “social ethics”paradigm, which centers “an examination of structure and process” and “involves socialrelations, their structure, and the norms and policies that characterize them” (p. 461).Herein, we adopt the social ethics paradigm to examine and describe the process by which wedeveloped