. ©American Society for Engineering Education, 2025 Sparking Reflexivity: Data Generation Methods and Recommendations for Eliciting Complex Belief Sets in Engineering Education ResearchIntroductionIn this full methods paper, we discuss data generation methods and considerations for elicitingcomplex belief sets in engineering education research.Engineering work is inherently sociotechnical as it addresses challenges that involve anunderstanding of the interplay between societal needs and technical knowledge [1]. As such,progress on society’s most pressing and complex problems requires the collective contributionsof diverse stakeholders: both engineers and non-engineers (in which both groups
engineering, the role of engineers, and global health. Bycombining technical training with critical reflection on systemic inequities, this course equipsstudents with the skills and mindsets necessary for inclusive, impactful engineering practice. Thefindings underscore the potential of integrating AOP into engineering education to cultivatesocially conscious, globally engaged engineers capable of co-creating equitable solutions withdiverse communities.1. IntroductionAs global connectivity and communication networks continue to grow, so too does awareness ofthe disparities in health, resources, and opportunities across different regions of the world. Thisheightened awareness has spurred a shift among engineering students, who are
Engineering Education Research (EER). She focuses on developing evidence-based teaching methodologies to foster authentic learning environments and works to develop novel educational assessment instruments. ©American Society for Engineering Education, 2025 Factorial measurement of epistemological theories of developmentAbstract:This paper explores the challenges and opportunities in measuring personal epistemology and epistemiccognition (PE&EC) with a special focus on the unique challenges of engineering education. It is structured intwo parts: (1) a retrospective evaluation of current PE&EC measurement instruments and (2) a novel theorizedapproach to measurement and evidence of validity.Our evaluation
developmentfor more than 200 years [1]. The fourth industrial revolution, aka Industry 4.0, has revolutionizedmanufacturing processes by integrating digital and smart technologies, transforming traditionalpractices into what is now known as smart or advanced manufacturing [2]. The adoption ofadvanced technologies such as the Industrial Internet of Things (IIoT), artificial intelligence (AI),cloud computing, and extended reality (XR) have significantly improved manufacturingprocesses by reducing costs, minimizing production time, and enhancing operator efficiency [3].Thus, it has become essential to maintain competitiveness in the face of rapid technologicaladvancements and global competition [4]. This digital transformation in the manufacturing
decision-making; and theintegration of human rights into systems and product design. Sessions explored the evolving integrationof human rights in the engineering profession and identified areas where further efforts are needed. Theevent also raised awareness of human rights issues among practicing engineers and within engineeringeducation communities.This paper and an accompanying presentation at the 2025 American Society for Engineering Education(ASEE) Annual Conference summarize the major findings identified, issues raised, and the suggestionsfor future action put forward by the symposium participants. These takeaways are framed using thehuman rights principles for engineering outlined by Chacón-Hurtado et al. [1]. These are also comparedto
, simulation and subsystem prototyping,while the second semester focuses on system integration, fabrication, testing, and optimization.The whole course is structured to meet all seven ABET student outcomes in multiple formatsover the two semesters. A guide for implementing this method of engineering capstoneinstruction is available in [8], an open educational resource. Course milestones are shown inTable II.1: Table II.1: Capstone Sequence Milestones Milestone 1 Detailed design Semester 1 midterm Milestone 2 Prototyped subsystems Semester 1 final Milestone 3 Integrated subsystems Semester 2 midterm Milestone
creativity of future aerospace engineers.Incorporating history into engineering courses can help students contextualize engineeringpractice [1] and establish themselves as problem solvers who work within a particular set ofconstraints and opportunities [2]. Understanding the history of a field also sets the starting pointfor future progress; Ryan [3] notes at the end of their NASA technical report: “Lessons from thepast contain the keys to the future, if used appropriately.”Yet – studying history does not always come naturally for engineering students. At the beginningof the Fall 2024 semester, students in Introduction to Aerospace Engineering at the University ofMary Hardin-Baylor (UMHB) were asked to read the first chapter of the course textbook
, inclusion, engineeringeducation, curriculum, instruction1. IntroductionIn recent years, the field of engineering has witnessed a surge in full-time undergraduateenrollment, marking a growing interest in this pivotal discipline [1]. However, within thispromising trend, a disheartening reality persists. A significant number of students either transferout of engineering majors or leave the university before graduation. The dropout rates withinengineering programs continue to be a matter of critical concern, with graduation ratesstagnating at a persistently low rate (50% in the United States) over the past six decades [2, 3].This issue highlights a pressing challenge within engineering education that extends beyond highenrollment numbers.While
theoretical knowledge and practical application by providing content directly applicableto real-world scenarios [1], [18]. This method focuses on delivering specific, actionableinformation that learners can immediately use in their daily tasks or professional activities.Core computer science courses require a solid grasp of algorithms, programming logic, complexcomputations, and the principles of computer systems. These subjects necessitate focusedattention from students. Educators play a crucial role in incorporating real-world scenarios intocourse materials to elucidate logical concepts or computational theories, making students feelempowered and integral to the learning process. For instance, when teaching propositional logic,the implication "𝑝
, single-solution problems[1], [2], [3]. These problems are distinct from the ill-defined, open-ended problems common in engineering jobs[2]. To solve “real-world” engineering problems, students must develop the practices of engineers: the ability to interpret data, identify and conceptualize complex engineering problems, apply engineering judgment, and communicate with the broader engineering community[2], [4], [5], [6], [7], [8]. These practices align with current ABET accreditation requirements[4], but are generally not developed through traditional assessment [7], [9], [10], [11], [12]. Authentic assessment is one solution to this misalignment[13], [14]. It is an
education a more socially just and safe space for all and uses writing, speaking, and research to address each of these important aspects of her academic career.Steven Blake Warth, Austin Peay State University ©American Society for Engineering Education, 2025 Retrospective Insights in Choosing a Career in Engineering Abstract Women have historically been underrepresented in science, technology, engineering, and mathematics (STEM) fields [1]. The gender gap in participation in engineering remains especially large, and the cause of this gap is the question of many researchers [2],[3],[4]. Research teams have found that perceptions of the
pillars of national development. In 2023, its contribution tothe Gross Domestic Product (GDP) reached a notable 6%, highlighting its significance as adriver of economic activity. Additionally, the sector accounted for an impressive 63% of totalaggregate investment, solidifying its position as a key engine for sustainable economicgrowth and development in the country [1]. On a global scale, the potential impact ofgenerative artificial intelligence on the construction sector is estimated to range between0.8% and 1.3% of the industry's total revenues, with an annual economic contributionprojected at $90 to $150 billion. These technologies promise to optimize key processes suchas research and development, structural design, and logistics, which are
in pursuing researchopportunities and STEM pathways, improved research literacy (see Figure 1), and quantifiableresearch contributions such as research equipment servicing, data collection, and publicationauthorship. These outcomes align with the university’s public equity agenda. Nevertheless, aftertwo years of demonstrable impact, faculty leadership declined to renew the program, citingnebulous “institutional constraints”. If equity-centered programs like this one demonstrablyadvance institutional equity goals, why do universities still fail to sustain them?Drawing from organizational theory, social identity theory, feminist social theory and criticaltheory, we present a critical self-reflective autoethnography of the creation of the
access to microfluidic technology. ©American Society for Engineering Education, 2025 Scaling Mentoring for Graduate School: An Algorithm to Streamline the Formation of Mentoring Circles for the GradTrack Scholars ProgramAbstractThe GradTrack Scholars program prepares undergraduate students for graduate school whilebuilding a community of students excited to pursue advanced study. GradTrack uses mentoringcircles – a proven model for supporting individuals pursuing graduate school [1], postdoctoralroles [2, 3], and faculty careers [4]. In GradTrack, each mentoring circle unit consists of twograduate student mentors and 6–8 undergraduate mentees, where each unit is part of a scalablementoring system. In 2024
student engagement and success. His professional expertise includes process simulation and optimization within the oil and gas sector. Recently Craig has started pursuing a Ph.D. in Interdisciplinary Engineering, Engineering Education at Texas A&M University. ©American Society for Engineering Education, 2025 The Staying Power of Socializing Engineers: A Systematized ReviewIntroductionMany engineering graduates pursue an engineering profession, and remain involved for theirentire career; however, there are also multiple career paths many choose to take that include anexit from engineering practice [1]. This phenomenon of deciding to stay or leave the
growing body of research onsustainability education in geosciences and engineering in Latin America, offering insights forcurriculum development and policy formulation to prepare professionals committed to sustainabledevelopment.Keywords: engineering education for sustainability, SDGs, student perceptions, sustainabledevelopment, sustainability educationINTRODUCTIONIn recent years, there has been an increasing emphasis on integrating sustainability into geoscienceeducation, driven by the need to address environmental challenges and equip future generations withthe knowledge and skills necessary to promote sustainable development [1-3]. This shift seeks toincorporate sustainability and related skills into curricula, fostering competencies to face
Jackson State University and a Ph.D. in Computer Science and Software Engineering from Auburn University. Her research interests include responsible computing, human-centered computing, STEM education, and the persistence of minorities and women in engineering. ©American Society for Engineering Education, 2025Creation of an intervention-focused mental health help-seeking beliefs instrument for engineering studentsIntroductionThis is a Full Paper reporting on Empirical Research. Engineering students report high rates ofmental health conditions such as depression and anxiety [1, 2]. However, while national dataindicate that engineering students are not experiencing significant
Technology and Education Policy, Zhejiang University. His research interests include Engineering Education, Science Technology and Education Policy. ©American Society for Engineering Education, 2025 Designing AI Literacy Curriculum for Multidisciplinary Undergraduates: Insights from a Case Study on General AI Courses1. IntroductionArtificial intelligence (AI) is increasingly integrated into human activities. Generative AI,particularly industry-specific large models, has entered a phase of rapid growth and is nowembedded across various sectors, including finance, healthcare, education, and law. Accordingto the IBM 2023 Global AI Adoption Index [1], approximately 42% of enterprise-levelcompanies
ofethical decision-making skills among recent graduates 1,2 . Therefore, it is critical for educators todevelop more effective approaches for teaching students engineering ethics.Traditional approaches to engineering ethics education have been largely limited to the use ofcodes of ethics of engineering societies and regulatory boards and the so-called “disaster cases”as case studies 3 . Engineering ethics has been expressed primarily in rules, and these rules areprimarily negative or prohibitive in nature. However, the use of rules is limiting. 1) Rules cannotadequately account for the place of discretion, judgment, and background knowledge in meetingsome professional obligations. 2) This rule-based approach, along with a focus on technicalethics
[1]. A newerchallenge for civil engineers is accounting for the heavier vehicle weights of electric vehicles(EV’s) in their designs and calculations for new and existing infrastructure. This paper describesthe additional weights of EV’s and why it is important in civil engineering education. Facultyperspectives are shared and are accompanied by examples of potential coursework to helpintroduce this topic to students.Electric vehicles have had an increasing trend over the past decade. In 2013, 97,000 electricvehicles were sold in the United States and in 2023, that number had increased to over 320,000electric vehicles sold in the United States [2]. And the total number of electric vehicles registeredglobally hit approximately 14 million in
alignment with its mission,several pillars point to the need for introspection of constituents and how they engage with thesesystems to acknowledge, explore, and share how we contribute to the enactment of equity,culture, and social justice. Participatory action research (PAR) emphasizes the involvement ofstakeholders throughout the research process to ensure both accuracy and relevance. By focusingon context-specific action, PAR provides a valuable way to elevate participants’ voices duringresearch and intervention development [1]. It also helps ensure that the perspectives of thosedirectly engaged in the work are included in the analysis [1].In this arts-based research paper, we explore the experiences of engineering student researchersthrough
inintegrating career planning into their curriculum.IntroductionThis full paper explores how electrical and computer engineering (ECE) master’s studentsresponded to a professional development module embedded within a high-enrollment ECEcourse at a large, public, research-intensive institution in the Southeastern United States. Thefield of ECE is broad, offering diverse career opportunities to students [1]. Supporting studentsin navigating these career opportunities requires addressing two key areas. First, students mustdevelop an understanding of their discipline, including the nature of work associated withvarious roles. This knowledge is typically conveyed through technical coursework and internshipexperiences, although opportunities remain to
in engineering education. A digital twin is a detailed virtualmodel of a physical system, constantly updated using real-time data, advanced computing, and visualmodeling [1]. Unlike static models, digital twins allow two-way interaction between the physical anddigital worlds. This makes it possible to run simulations, monitor systems in real time, and predict futureperformance. For instance, a mechanical engineering student could use a digital twin to test how stressaffects a structure, while an electrical engineering student might explore how circuits behave underdifferent loads. These examples show how digital twins can make complex engineering principles easierto understand and apply. Using digital twins in classrooms has the
surveys and lightweight formal-proof templates, thereby connectingpedagogical insight to empirical validation. By foregrounding trust by design rather thanethics by exhortation, the paper offers educators and practitioners a theoretically grounded,practically actionable framework for graduating developers who can embed durablecooperation and public-interest safeguards into the next generation of AI technologies. 1. IntroductionArtificial-intelligence (AI) systems now bargain, collaborate, and sometimes compete onhumanity’s behalf—whether as high-frequency trading bots allocating capital, federated-learning clients exchanging medical parameters, or autonomous vehicles negotiating right-of-way (Hendershott et al., 2010; Dayan et al., 2021). In
roles in the engineering profession.Keywords: leadership, higher education, professional development, leadership profile,leadership in engineeringIntroductionLeadership has become an essential competency for 21st-century engineers, who mustsolve technical problems and lead multidisciplinary teams, make strategic decisions, andadapt to a constantly changing global environment. The increasing complexity of social,economic, and technological challenges highlights the need to train leaders who combinetechnical and professional skills [1]. In this context, higher education institutions are calledto play a fundamental role in developing these capabilities, transforming engineeringeducation to better prepare students for effective leadership roles [2
. When there is an established way of doing things for instance, sharingone’s ideas or seeking to try out new methods that may challenge the status quo could go againstthe vested interest of other participants - hence there is a personal risk consideration [1]. Giventhe nature of organizations, the presence of roles and positions set the stage for a participantintroducing a new input to be viewed in a negative light or as unsuccessful if theirexperimentation with a new approach is not successful [2].In higher education institutions, multi-institutional research networks collaborate acrossdisciplinary contexts, geographical regions, institutional cultures, and academic ranks, all thewhile seeking to develop cohesive and inclusive teams. In this
findings reveal how institutional practices,programmatic approaches, and field assumptions can reinforce deficit-based thinking even asprograms strive to address global inequities. Specifically, we found that: (1) a lack of diversityin HE programs undermines students' sense of belonging and cultural worth, (2) an emphasis onhardships diminishes recognition of students’ assets, and (3) savior narratives perpetuate deficitviews of partner communities. However, our research also identifies transformative momentswhere programs recognized and built upon students' cultural wealth, suggesting pathways forinstitutional change. This research illuminates specific ways that deficit mindsets persist ineducational settings, while highlighting concrete
. Gunturi1, Jeremy J. Blum1, Tyler S. Love2 1 Pennsylvania State University, Harrisburg 2 University of Maryland Eastern Shore AbstractGenerative AI, powered by Large Language Models (LLMs), has the potential to automateaspects of software engineering. This study implemented a monostrand conversion mixed-methods approach to examine how computer science students utilize generative AI toolsduring a competitive programming competition across multiple campuses. Participants usedtools such as ChatGPT, GitHub Copilot, and Claude and submitted transcripts documentingtheir interactions for analysis. Drawing
years, he taught undergraduate tutorials for Keble, New, University, and Harris Manchester Colleges, was College Lecturer for New College and a Senior College Lecturer in Engineering Science for Keble College. He has interests in the formation of engineering identity, and increasing synopticism at a curricular level. ©American Society for Engineering Education, 2025 Post-Pandemic Motivations and Barriers for Office Hours Attendance in Biomedical EngineeringIntroductionOffice hours represent one of the most common and longstanding support mechanisms in highereducation, providing dedicated time and space for student-faculty interaction outside the classroom[1], [2], [3], [4], [5
layer of experiential opportunities. However, work scheduling requirements oftenconflict with class attendance.The Engineering Technology program at Kansas State University Salina Campus balances thesecompeting objectives through partial HyFlex course delivery and lab scheduling options.Challenges to the instructor include (1) developing and managing both in-person and onlinelearning opportunities within the same class section with quality and sustainability and (2)scheduling and integrating appropriate experiential learning and equipment access. We reviewstandards in HyFlex instruction and recent examples in the engineering education literature.Instructors of manufacturing and automation courses offer case examples of hybrid/HyFlexapproaches