©American Society for Engineering Education, 2025 Work in Progress: STEMtelling as a Method towards Ethical Awareness in Machine LearningAbstractThe recent surge in artificial intelligence (AI) developments has been met with an increase inattention towards incorporating ethical engagement in machine learning discourse and development.This attention is noticeable within engineering education, where comprehensive ethics curricula aretypically absent in engineering programs that train future engineers to develop AI technologies [1].Artificial intelligence technologies operate as black boxes, presenting both developers and users witha certain level of obscurity concerning their decision-making processes and a
welcome constructive feedback from the audience to further refine and improve ourapproach. Through shared insights, we hope to enhance the effectiveness of our approach andultimately improve outcomes in mathematics courses for engineering students. In futureiterations, we aim to explore, and measure how context-based education support the overall well-being of learners throughout their educational journeys. 1. IntroductionToday's most pressing challenges, such as climate change, are often called complex or wickedproblems because of their complexity and interconnectedness [1,2]. Solving such problemsdemands professionals who can effectively balance their specialized knowledge with a broaderperspective. Particularly related to engineering
engineering challenges.IntroductionParticipating in project-based courses is a common experience across many engineeringprograms from first year design courses to capstone and more. The Canadian EngineeringAccreditation Board (CEAB) includes project management as one of the twelve graduateattributes engineering students must develop and demonstrate throughout their degree [1]. Oftenthis attribute is embedded within project-based courses, such as final year capstone courses, andfirst year and upper year engineering design courses [2]. Many of these projects are team-based,teaching engineering students important attributes, such as, individual and teamwork,communication, professionalism in addition to technical skills related to their disciplines
technical learning by producing podcasts and technical video content.1. IntroductionIn an era when most college students are digital natives, integrating digital media into courseworkis important for fostering a sense of connection and belonging. [1] Podcasts, for example, deliverdigital audio files through the Internet and are a medium to disseminate, transmit, andcommunicate information to a broader audience. More than just a tool for communication, theyare a powerful resource for enhancing learning. A vodcast is produced when a video is recordedin a podcast session, combining auditory and visual elements of digital engagement. Platformssuch as YouTube have significantly enhanced the dissemination of vodcasts/podcasts to diverseaudiences. As of
includes multiple international clinics, engineers, pedagogy experts, the COSPH, CoN, and SOM as part of an interdisciplinary project to improve medical device design education and methods. ©American Society for Engineering Education, 2025 Engaging Undergraduate Studentsin Ethical Thinking Through Fun and MoviesAbstractThis paper describes a classroom approach and activities that have been successful in increasingundergraduate student understanding and engagement with ethics in a first-year design course.Gamification, the incorporation of game-like elements into non-game contexts, has been shownto increase student motivation and engagement in learning activities [1], [2], [3]. By creating afun and engaging
bioinspired designs [1]. Softrobots can safely interface with humans. Compared to traditional robots, soft robots replace rigidlinkages with programmed polymers and flexible electronics [2]. The popularity of soft roboticsas a research field is a recent phenomenon since the early 2010’s [3]. In this time soft roboticsprinciples have been applied to the development of bioinspired designs [1], soft grippers ofdelicate fixtures [4], wearable robots [5], and implantable devices [6]. We previously showedthat biomedical and bioengineers are growing contributors to this area, contributing more thanthey do in traditional robotics research [7]. Providing opportunities for undergraduates to learnabout the field at scale in courses can cultivate interest and
student peer mentors inan undergraduate peer mentoring and tutoring program. This paper analyzes the survey responsescollected in the last four years from more than 30 peer mentors. Survey questions cover thosepeer mentors’ perspectives on the training they received regarding mentoring and tutoring skills,impacts on the mentees, and impacts on themselves. Different questions were asked under eacharea with a total of 23 questions in the survey. The results show that peer mentoring and tutoringactivities have positive impacts on the student mentors in various domains.Project Background The retention and graduation rates of STEM majors are national problems [1], [2], [3].The College of Engineering (CoE) at Texas A&M University-Kingsville
, creating an example of an inclusiveand effective STEAM educational activity model that values diverse perspectives andexperiences and is flexible to implement.IntroductionThere is an increased need for STEM professionals across all communities, but especially amongthose traditionally marginalized from STEM such as socioeconomically disadvantagedcommunities and women [1-7]. There are many challenges historically marginalized childrenface in STEM education, including gaps in knowledge, lack of early exposure, underutilizedexisting funds of knowledge, and a disconnect between children’s experiences and STEMcontent, all of which can ultimately affect children’s STEM identity and engagement [8]. Toaddress these challenges, we need to expose children
, preprocessing, featureengineering, and modeling. The subsequent section examines the preprocessed data and itsdiversity. Afterward, the paper presents and discusses the results of all experiments conducted.Finally, the concluding section explores potential future work and offers final remarks.Background and Related WorkVarious approaches to predicting student performance have been explored. Some studies involvedesigning specific randomized experiments [1], [2], [4], [6], while others, like this one, focus onleveraging data collected by ubiquitous Learning Management Systems (LMSs) based on studentactivities and interactions with course materials [3], [8], [9]. Additionally, some researchevaluates the efficacy of specific teaching methodologies [4], [5
positions including the chairman of the Department of Civil, Architectural and Environmental Engineering, Dean of Graduate College and Vice Provost for Graduate Academic Affairs and most recently for Faculty Affairs. He received his graduate degrees (MS and PhD) from the University of Illinois at Urbana-Champaign in civil engineering with a specialty in structural engineering. Among his many publications include a book on systems engineering (ISBN: 978-1-60427-055-6, J. Ross Publishing, 2012). Over several decades, he has been heavily involved in education of engineering students in such areas as system reliability, bridge management, systems engineering and structural design. A licensed structural engineer and
to problem-solvingmentioned above, this work seeks with explicit intentionality to observe the processsurrounding formation of the team, and specifically, observing what that informs as itrelates to a team working together on a sociotechnical research project. We 2conceptualize this work underpinned by the assumptions stated here: 1) ascriptions tomeritocratic and depoliticized ideologies are pervasive across engineering; 2) suchbeliefs are socialized into and through engineering education; and 3) the values heldby an engineer will translate to some extent, at a minimum, into their technologies andinnovations. Given the situated assumptions, the “who, how
textual data. For instance, we recently codedapproximately 10,000 state K-12 computer science standards, requiring over 200 hours of workby subject matter experts. If LLMs are capable of completing a task such as this, the savings inhuman resources would be immense.Research Questions: This study explores two research questions: (1) How do LLMs compare tohumans in the performance of an education research task? and (2) What do errors in LLMperformance on this task suggest about current LLM capabilities and limitations?Methodology: We used a random sample of state K-12 computer science standards. We comparedthe output of three LLMs – ChatGPT, Llama, and Claude – to the work of human subject matterexperts in coding the relationship between each state
of Engineering at Virginia State University. She received the B.S. degree in Mathematics from Virginia Union University, B.S. and M.S. degrees in Electrical Engineering (EE) from Howard U ©American Society for Engineering Education, 2025 1 Exploring Minority Students’ Learning Experiences in a Summer QISE Laboratory Course Backgrounds Quantum Information Science and Engineering (QISE) is a rapidly growing field of studyand is expected to revolutionize society in the coming decades. In the U.S., this talent need hasbeen
differences in age-based discrimination at Finnish technology workplacesIntroductionMany engineering/technology workplaces are (still) characterized by masculine cultures,connected to various forms of discrimination (e.g., [1]). Discrimination has been suggested asone explanation for the persistent gender gap in engineering/technology [1], [2]. A recentmeta-reanalysis of audit experiments [3] finds that women are discriminated against in hiringto relatively better paying male-dominated occupations, while women applicants are favoredin the (relatively lower paying) occupations dominated by women. The authors conclude thatgender-based employment discrimination thus preserves the status quo of gender distributionsand
, which ledto a perception of “mass-produced” dissertations. During this time, the dissertation defense,which was previously the only form of examination, evolved into a formality, much like it istoday. Institutions saw a need for earlier “barrier exams” to maintain academic rigor and controlquality [1]. Recent studies have identified three primary purposes of preliminary exams: (1)serve as a subject matter assessment, (2) support students’ development as independent scholars,and (3) gatekeeping to determine who should be allowed to continue in their studies [2].However, many critiques over the lack of intention and clear purposes of preliminary exams exist[3]. Some scholars advocate for the elimination of preliminary examinations altogether
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