toolswere adapted and integrated in third and fourth year design courses in two Engineering programsat the University of Waterloo. 1. IntroductionSustainability is a broad term that can refer to a wide range of concepts, includingenvironmental, social, and economic sustainability dimensions, United Nations SustainableDevelopment Goals (UN SDGs), and circularity principles or life cycle thinking, among others.It has been a topic of discussion in multiple contexts and disciplines, including politics,engineering, economics, and policy-making - since the 1990s. The growing importance ofsustainability is also associated with the development of technologies aimed at addressingcomplex societal problems and transitioning to a more sustainable future.The
among graduates are not uncommon [1] [2]. While capstone projectshave been implemented among universities to improve the students’ ability in problem-solving andsystematic design, the participation of industrial partners is limited. Recent works have suggested closecollaboration between the university and the enterprise in capstone projects can benefit the student s’employability skills [3] [4].We identified a common problem faced by both higher education institutions and enterprises:universities find it challenging to remove established components from their well -developedcurriculum architecture, while enterprises struggle to allocate addition al training hours to equipemployees with new digital skills alongside traditional training modules
professional practice [1].Indeed, team-based, project-based learning experiences are thought to support myriad social,technical, and sociotechnical learning outcomes for engineering students, such as learning tothink and communicate in the languages of engineering, technical writing and communication,prototyping and fabrication, and so on [1]–[3]. However, existing research has indicated that thebenefits of participating in team-based, project-based learning experiences are not always sharedby all students, and sociodemographic characteristics, such as race/ethnicity, sex/gender,socioeconomic status, and international student status, can inform the socioacademic dynamicsby which students come to participate (in)equitably in engineering teamwork.The
analytics for load-flow systems through the application ofmachine learning and blockchain technologies.This study addresses the following specific areas:• Mitigation of Smart Grid Load-Flow Data Vulnerabilities: Based on thevirtual template for load-flow bus-generator (BUS-GEN) modelreinforcement, this study proposes improved mitigation strategies (refer toFig. 1).• Countermeasures for Overall Grid Resilience Enhancement:Countermeasures are proposed to address cyber-physical threats, aiming toenhance the resilience of smart grid load-flow networks.• Threat Landscape Mapping: An in-depth analysis of various threats isprovided, along with corresponding countermeasures, establishing adetailed research framework for mitigating critical vulnerabilities
context, requiring social competencies to balance technical expertise with interpersonal, cultural, and environmental sensitivity. Empathy, an ability to understand others, experience their feelings, and behave responsively, is an essential skill and orientation for solving these complex engineering problems and holistically serving society. However, studies suggest engineers are not learning empathy during their collegiate years [1] and collegiate engineering culture can devalue social and professional competences [2]. This lack of empathy formation in college students prompted our research team to conduct focus groups where we asked ten engineering educators “What areas of engineering formation could be enhanced by
they serve their students, graduate students are often omitted from the conversation. Thechallenges faced by first-generation college students (undergraduate and graduate) areexacerbated due to recent legislation in some states putting forth anti-DEI measures. Inparticular, it is known in the literature that first-generation graduate students face challenges inexercising their social and cultural capital, navigating social processes, and maintainingpersistent beliefs. First-generation students have lost many of the support mechanisms that werepreviously made available to them, and they must seek out other resources, if any, such asstudent organizations and student success programs with significantly lower or in some cases, nobudgets [1
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
language models (LLMs) AI that permeate popular discourse. Student familiarity andsentiments regarding AI are collected at the start and end of class to understand how the courseactivities influenced their perceptions of AI’s utility. By exposing students to many facets of AI,with a focus on engineering applications, we seek to develop student capabilities utilizing AI inworking through their academic and professional duties.1 IntroductionTechnology improvements are a part of the human story from the earliest of our historical records,controlled fire and rolling wheels in prehistoric times, to automobiles and computers in moderntimes. Each of these changes has brought about questions about the pros and cons of a giventechnology compared to the
, focusing on exploration and testing of technologies such as Google Glass, smartphone technologies that make up the Digital Doctor’s bag, Virtual and Augmented Reality, 3D Printing, and now Butterfly iQ handheld ultrasound machines. ©American Society for Engineering Education, 2025IntroductionWith the rising need for hospitals to deliver higher quality care, healthcare innovation hasaccelerated rapidly within recent years [1, 2]. This is due to the incorporation of newtechnologies such as artificial intelligence, wireless health, and personalized medicine throughgenomics [3, 4, 5]. Physicians need to be involved as active participants in healthcare innovation,as their input and “buy-in” can catalyze and sustain
Identity, Rural Identity and Teacher Mindset, and, lastly, Teaching Perceptions and Computational Thinking. Qualitative data collected through reflective journals provide information on teachers’ backgrounds and teaching experiences, as well as anticipated professional growth. Following training, the findings show that rural teachers reported positive changes in their identities and teaching competencies and are more likely to advocate for more students to take computer science courses. Teachers in rural areas also showed a marked improvement in confidence and commitment to teaching computer science.1 IntroductionComputer science (CS) education gained significant attention after the publication of aconcerning
declined across all demographic groups. These findings underscore the need fortargeted interventions to enhance inclusion and support student wellbeing within engineeringeducation.1. IntroductionMental health challenges among college students have become a growing concern for institutionsof higher education. These challenges, which include anxiety, depression, and other mentalhealth conditions (MHC) [1], significantly impact students' academic performance and retention[2]. Despite the availability of resources and support services, many students remain reluctant toseek help due to stigma and other barriers [3]. This reluctance to seek help is particularlypronounced in engineering students, who face unique challenges stemming from the
]. Addressing systemicinequities can be challenging in any profession, but particularly so when members are socializedto think of themselves as free agents, unencumbered by social structures [2,3]. Our paperexamines the prevalence of agentic and structural explanations of career mobility among 952Canadian engineers who responded to a national engineering career path survey. We found that49.3% of racialized men, 71.6% of white women, 75.6% of racialized women and 68.0% ofLGBTQ2SI+1 engineers, compared to only 26.3% of white men, believed their social locationhad impacted their careers suggesting that individuals who are relatively under-represented in theengineering profession are more inclined to view their social location as a non-neutral feature
EM student leadership series andcapstone course intervention is also discussed. Video data from legacy hackathons will becompared with the new data extracted from the first full run of the EM-infused competition.Finally, the paper will discuss lessons learned from the initial implementation of theinterventions that can be applied to future competition trials.1. IntroductionHackathons have emerged as a beneficial platform for fostering innovation and practicalproblem-solving skills among students. These events encourage participants to prototypesolutions to complex problems rapidly and promote personal and professional growth. As onepart of a grant effort, it was proposed to study how students reflect upon, articulate, and exhibitthe
-part hypothesis motivated further study and change in the assignment gradingscheme: 1. Can the de-coupling of “evaluation” and “assessment” criteria in an assignment reduce student stress? 2. Can the same de-coupling assignment design improve student writing effectiveness?Literature ReviewAssignment construction is a long-researched endeavor continuing to evolve as scholars study thecomplex relationship between faculty and students. Research questions focused on the increaseddemand on faculty in academic settings, such as increases in class sizes compounded by higherresearch productivity goals, are sometimes answered by use of new technologies allowing forautomations of the grading process [1], [2], [3], [4], [5], [6]. Potentially
Technology. Dr. Panchal’s research interests are in (1) design at the interface of social and physical phenomena, (2) computational methods and tools for digital engineering, and (3) secure design and manufacturing. He is a recipient of CAREER award from the National Science Foundation (NSF); Young Engineer Award, Guest Associate Editor Award, and three best paper awards from ASME; and was recognized by the B.F.S. Schaefer Outstanding Young Faculty Scholar Award, the Ruth and Joel Spira Award, and as one of the Most Impactful Faculty Inventors at Purdue University. He received the Distinguished Alumni award from IIT Guwahati. He is a co-author of two books and has co-edited one book on engineering systems design. He has
. ©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