critical reflection, ethical awareness,and systems-level thinking.The paper adopts a hybrid methodology that combines a review of relevant literature withreflective analysis based on extensive experience teaching design thinking and productdevelopment to engineering students, as well as facilitating futuring activities in community-based workshops and participatory design events. Key recommendations include leveragingmakerspaces as sites for exploratory learning, incorporating futuring tools into instructionalpractices, cultivating institutional support through communities of practice, and buildinginterdisciplinary partnerships.To evaluate the effectiveness of these approaches, the paper proposes preliminary assessmentstrategies including pre- and
Laboratory CourseAbstractIn the fall of 2025, Mechanical Engineering and Library faculty at California State University,Maritime Academy will develop and pilot Artificial Intelligence (AI) literacy learning outcomeswithin Mechanical Engineering and Physics courses. The university currently does not haveinstitution-wide AI literacy learning outcomes or systematic support for AI instruction. Inpreparation, the faculty will collaborate to create an AI literacy framework for courses in whichstudents carry out quantitative experimentation. Instructional and assessment materials designedto teach students about the uses, ethical implications, and limitations of AI throughout thetechnical paper writing process will be created. Students will practice and
engineering program. Wehypothesized that engaging students with real, integrated engineering content in the first years ofthe program would help them build an engineering professional identity (EPI) and improvestudent retention and success. Two new project-based courses for 1st and 2nd year students in theenvironmental engineering program were developed and offered for the first time during the2023 – 2024 academic year. The two courses integrated content on sustainability,professionalism, systems thinking, ethics, and social justice topics, with technical content onengineering design and tools. Surveys were given to the environmental engineering studentsenrolled in these new 3-credit courses, along with two cohorts of 1st year students in a 1
Mission for a Holistic Education: Pilot ImplementationAbstractThe evolution of engineering education over the past few decades reflects the growingcomplexity of the challenges engineers encounter in today’s world. Where once technicalproficiency was the primary emphasis of engineering education, there is now a growingrecognition of the distinct but complementary role that professional formation plays in shapingwell-rounded engineers [1] [2] [3]. A holistic approach to engineering education will help usshape future engineers who possess the foundational knowledge and applied skills in theirdiscipline, as well as across disciplinary boundaries, along with global and cultural awareness,social responsibility, ethical leadership, and sustainability
engineeringsolutions, aligned with the SDGs and NAE Grand Challenges, contribute to sustainability. Thereport also underscores the importance of cultivating global citizenship through education, whichUNESCO identifies as crucial for achieving sustainable development goals.Addressing the urgent need for a strategic approach to globalize education without additionalresources, the report emphasizes leveraging creativity and the growing diversity of the studentbody. It details how increased international student enrollment in the U.S. enriches educationalenvironments and supports global citizenship.Furthermore, the report discusses the essential values for future engineers, including empathy,ethics, and cultural awareness, proposing strategies for integrating
synthesize information. These students learned how to thinkcritically about the questions they need to ask to lead them to the answer they needed [5].Additionally, AI tools can be used to check answers and equations to provide a deeperunderstanding on complex engineering topics [6].The integration of AI in engineering education also presents challenges. Students may developand overreliance on AI tools and AI may negatively impact academic integrity [7]. Furthermore,concerns surrounding the ethical implications of AI include issues of bias, privacy, and inabilityto validate AI-generated information highlight the need for comprehensive training on theresponsible use of AI [8][5]. Educators must consider these challenges to ensure that AI tools
provides student agency inintellectual development, and (4) it provides content adaptability to emerging trends. 3For example, our first-year Chemical Engineering graduate curriculum comprises five courses:Thermodynamics, Kinetics and Reactor Design, Transport Phenomena, Mathematical Methods, and Safetyand Ethics (taught in one course together). Although this curriculum is reasonably standard in ChemicalEngineering graduate education, its structure leaves little room for customization, specialization, andflexibility on emerging topics. In contrast, one-credit modules enable students to adapt to their priorknowledge level - for example, by testing
pivotal moment inAI adoption driving rapid transformation across many fields. For higher education, the newtechnological wave demands a reevaluation of traditional teaching and learning models to remainapplicable in an AI-driven world [2]. Higher education institutions now face a monumental taskof embracing AI literacy as a core competency, akin to such fundamental competencies ascritical thinking and effective communication. However, integrating AI into higher educationpresents several challenges, including the lack of standardized guidelines for curricularintegration and established governance structures, ethical and safety concerns, facultypreparedness, quality and reliability of outputs, and the potential of increasing the digital divideand
stakeholders, and the characteristics of effective educationalleaders. Findings indicate that leadership quality significantly influences governanceeffectiveness, stakeholder engagement, and institutional culture. Public and private universitiesexhibit distinct governance models, impacting decision-making processes and leadershipexecution. The study also underscores the importance of adaptive leadership approaches thatbalance strategic objectives with operational realities. Effective leaders cultivate collaborativeenvironments, uphold ethical principles, and foster institutional resilience. This researchhighlights the interconnectedness of leadership styles, governance structures, and educationaloutcomes, offering insights into how HEIs can enhance
. ©American Society for Engineering Education, 2025 Critical Thinking (Mis)conceptions of First-Year Engineering StudentsAbstractCritical thinking, an essential skill for engineers, is a cornerstone of effective problem-solving,ethical decision-making, and innovative design. Despite its recognized importance, research onhow early undergraduate engineering students perceive and understand critical thinking islimited. This study explores first-year engineering students' conceptualizations of criticalthinking at a large Hispanic-Serving Institution with Very High Research Activity. Using anopen-ended question embedded in a classroom assessment, this qualitative study analyzesstudents' definitions of critical thinking through thematic analysis
Engineering Education, 2025 Scoping Review: Understanding the Place of Justice, Equity, Diversity, and Inclusion in EngineeringBackgroundAs engineering educators and researchers, we are motivated by the pressing need to bridge the gapbetween technical expertise and social responsibility in engineering education. Engineering is notjust about designing systems and solving technical problems; we argue that it is inherently aservice-oriented discipline that impacts diverse communities.Working with diverse communities requires historical context, ethical reasoning, and the inclusionof marginalized voices in the engineering design process [1]. However, traditional engineeringcurricula have often prioritized technical
“to advance the human condition and thus serve society” [1]. Engineers are in ourevery day lives from the homes we live in, the technology we use daily and the healthcare weengage in. The National Society of Professional Engineers (NSPE) has developed a code ofethics for engineers to follow. As part of the code of ethics, NSPE Code of Ethics, afundamental canon is to “hold paramount the safety, health and welfare of the public [2].” Inorder to satisfy or abide by this canon, I propose that engineering students must be civicallyengaged and as such it should be embedded into the engineering curriculum.Civic Engagement in Engineering“Civic Engagement involves working to make a difference in the civic life of one’s communityand developing the
Paper ID #45603BOARD # 437: Research in the Formation of Engineers: Prompting SociallyEngaged Divergent Thinking in Engineering Design by Leveraging GenerativeAIDr. Justin L Hess, Purdue University at West Lafayette (COE) Dr. Justin L Hess is an associate professor in the School of Engineering Education at Purdue University. Dr. Hess received his PhD in engineering education and his BS/MS in Civil Engineering, all from Purdue University. Dr. Hess’s research interests include understanding how empathy manifests in engineering and engineering education; advancing the state of the art of engineering ethics education; and promoting
, generative AI offers transformative opportunities, from fostering creativity inproblem-solving to streamlining instructional design. However, these advancements also present challenges,including ethical considerations, reliability concerns, and the risk of over-reliance on AI systems. To addressthese complexities and maximize the potential of generative AI, it is essential to explore how these tools arebeing implemented, the challenges they pose, and their implications for students and educators.This study conducts a scoping review to systematically examine the applications and innovations of generativeAI in engineering education. By employing the five-step framework proposed by [2] this review seeks toprovide critical insights into the current
integration of human-centered design principles within select courses across the Grainger College of Engineering. ©American Society for Engineering Education, 2025 Advancing Human-Centered Engineering (HCE): A Framework for Defining and Building the Emerging DisciplineAbstract: This paper examines the emerging field of Human-Centered Engineering (HCE), aninterdisciplinary approach that integrates engineering, human-centered design, social sciences,and creative practices. While drawing from Human-Centered Design (HCD), HCE distinguishesitself by embedding human-centered values systematically into engineering processes, balancingempathy, ethics, and societal impact with technical rigor and system
conflate sociotechnical engineering education with ethics education.Others have challenged the nature of sociotechnical learning activities, such as service-learningand community-based design projects, for their tendency to fail to engage with the ways powerdynamics shape interactions between faculty, students, and community members [8-12]. Thesecritiques elevate the need for clarity around defining sociotechnical design education.Other criticisms have come from local, state, and national legislative actors who have advancedefforts to curtail or ban the teaching of the “divisive issues” in primary, secondary, andpostsecondary education [13-14]. However, the form and function of these legislative attacksdiffers across sociopolitical contexts in the
platforms that produce text, images, and media based on prompts,known as Generative AI (GenAI). At the same time, researchers in industry, government, andacademia recognize a need for responsible governance of AIs. They question how to regulatepowerful AIs being developed at the frontier of computing. Engineers play an important,informative role in this process, offering valuable technical and design knowledge topolicymakers, including concerns about risks and ethical applications. This summary identifiedresearch papers, governance documents, and industry approaches to responsible AI policy designwithin the U.S. It provides an overview of the voices at the heart of designing AI policy anddemonstrates the challenge of responsibly regulating emergent
engineering design communitysignal an increasing dedication and desire in the community to understand, investigate, andengage with design justice in engineering.Though work incorporating design justice into engineering design has begun in the past few years,engineering education has long been calling for social justice to be further incorporated intoengineering education and design [13], [14]. Recent works have investigating design justice in thecontext of engineering education have focused on how design courses engage with design justice[15], how social, ethical, and policy considerations are incorporated by instructors [16], and howinstructors can be supported to embed design justice into their courses and build communitiesaround design justice in
solutions with empathic and ethical consideration forcommunities/societies, environmental justice, and cultural awareness.These outcomes are addressed in a 3-week project assigned in the class. Students are asked torecommend whether a condensing furnace run on natural gas or a heat pump should replace anold natural gas furnace in a private home. While some may find this to have an obviousengineering solution, the answer is not straightforward when considering the broader effects. Theidea is to increase system boundaries beyond the design objects to include the environment,society, and culture. Students are expected to analyze options by performing technicalcalculations in specific societal and cultural contexts, use appropriate engineering codes
competence, Undergraduate, Critical reflection,Communication 1. Background Perspective-taking, referred to as the cognitive ability to consider and interpret situations from another’s point of view [1], is a critical skill for fostering collaboration and communication inacademic, professional, and social settings [2]. It enables individuals to interpret the actions andintentions of others, thereby enhancing communication across cultural and interpersonaldifferences [3]. Hess et al. [4] emphasize that perspective-taking is a foundational component ofempathy, crucial for ethical reasoning, effective conflict resolution, and interculturalcommunication. As higher education increasingly prepares students for a globalized workforce[5], [6], the
Paper ID #45571Holistic Energy Education for Nuclear EngineersDr. Ira Harkness, University of Florida My bio is here. ©American Society for Engineering Education, 2025 Holistic Energy Education for Nuclear EngineersAbstractThis paper introduces holistic energy education for nuclear engineers, integrating technicalknowledge with social, environmental, and ethical perspectives to address complex,interdisciplinary challenges like climate change. Building upon existing frameworks of holisticand interdisciplinary education, holistic concepts were integrated into various nuclearengineering courses. Student feedback
be able to put forward my analysis. I may be aware thatalong the dimensions I am writing about the class, participants simply disagree about themeaning and interpretation of events, and as a critical scholar I’m not presuming to represent allperspectives equally. In any case, a thoughtful explanation of the member checking process andjustification for the choices made actually does enhance credibility, to the point that I rarely needto invoke the word to convey that impression to my reader.5.6. EthicsAs most of us are regularly reminded in our roles, researcher ethics is a crucial topic engage inour research practices. However, most statements regarding research ethics written in methodssections are generic and performative, such as “The
. IntroductionGenerative AI (GenAI) is reshaping education, challenging educators to reconsider what theyteach, how they teach, and how they engage and assess student learning in the classroom. Asstudents are already using these tools in their academic work at a higher rate than we expect [1],taking a proactive and forward-thinking approach to integrating GenAI into engineeringeducation is becoming increasingly important. Such an approach will not only equip studentswith the ability to critically evaluate AI-generated outputs but also encourage them to explore itslimitations and ethical and professional implications.In this case study, the authors explore the integration of two GenAI-based writing assignmentsinto a senior-level design course. The goals of this
purelytechnical and independent of the subjectivities of the practitioners and the sociopolitical contextin which engineering work is performed. Engineering students are often unaware of howengineering intersects with aspects of social justice due to the way they learn engineering. As aresult, they develop an apathy toward social and ethical considerations. To address this issue, theauthors of this paper designed a one-credit elective course. This course was offered to studentspursuing engineering and engineering technology degrees at the Rochester Institute ofTechnology. This paper documents in detail the design and delivery of the course along withstudent and instructor reflections of the experience. Student experiences are captured through thejournal
utilizingavailable qualitative data remain scarce. This methods paper describes the process of usingpublicly available podcast episodes as a data source for an exploratory study in engineeringeducation. The podcast we used (3,2,1…iRelaunch) features interviews with individuals who havetaken a career break, and it explores their strategies and experiences as they return to theworkforce. The authors were interested in studying the unique experiences of women engineerswho relaunched their careers through an analysis of podcast interviews. This paper outlines thedata source selection, ethical considerations, data retrieval, analysis, and reporting decisions. Theadvantages of utilizing podcast data include context-embedded data, eliminating the need for
over adopting AI tool use in their curriculum. Per the framework,components contributing to a sense of agency include past experiences, expectations of thefuture, and present cultural, structural, and material conditions that can be opportunities, barriers,and resources [1].At the onset of the project, our team theorized several factors which might impact teacher’s AIuse based on Biesta et al.’s framework, including social supports or hindrances from otherteachers or administrators, school and community resources and access to use AI tools,perceptions of added value of AI tools on teaching outcomes, opinions and ethical concernsabout AI tools, and familiarity with AI tools from prior personal or professional use.Ecological Systems TheoryBiesta
engineering education [2], [3]. Despite thewidespread use of GenAI tools, they are still relatively new in engineering education. Thisintroduces uncertainties, including issues regarding ethics, accessibility, and algorithmic bias [2],[4]. There are also concerns around the lag between the rapidly growing uses of GenAI tools andthe current policies regarding their uses in engineering education [5], [6].In addition to ChatGPT, there have been other GenAI and large language model (LLMs) basedtools, with widespread uses for students, educators, and researchers in engineering education [2],[3]. This has created opportunities for innovation within engineering education along withchallenges of using them in learning environments [3]. Due to the recent
engineering suggest thatstudents should be cognizant of and prepared to act upon these issues concerningmacroethics—the social responsibility of the engineering profession [1]. For example, ABETStudent Outcome 2 notes that students must develop an understanding of engineering designincluding “consideration of public health, safety, and welfare, as well as global, cultural, social,environmental, and economic factors.” [2]. Additionally, the American Institute for Aeronauticsand Astronautics’ Code of Ethics says that engineers are expected to “hold paramount the safety,health, and welfare of the public in the performance of their duties” [3]. These statements leavegreat latitude to the curriculum and the instructor in interpreting who counts as the
Paper ID #49216Sociotechnical integration in data science educationProf. Cathryn Carson, University of California, Berkeley Cathryn Carson is an STS scholar and a historian of science and technology who has been active in interdisciplinary collaborations in undergraduate and graduate education, including nuclear engineering and data science. Ari Edmundson is an STS scholar and intellectual historian who has collaboratively developed integrated course materials and dedicated courses to embed critical thinking about human contexts and ethics in data science curricula. Ramesh Sridharan is a computer scientist
focuses on human-computer interaction, human-AI interaction, and social and collaborative computing. Since 2023, Dr. Smith has been continuously involved in efforts to assess and understand student adoption of Generative AI (GenAI) across campus. She participated in writing institution-wide policies for Mines, and she has given numerous guest lectures and organized numerous workshops on the ethics and use of GenAI in engineering education. ©American Society for Engineering Education, 2025 Assessing Student Adoption of Generative Artificial Intelligence across Engineering Education from 2023 to 2024AbstractGenerative Artificial Intelligence (GenAI) tools and models have the