-based economy.1. IntroductionThe advent of technology has brought a tremendous transformation of the teaching-learningprocess in engineering education regarding its content and delivery. As technologically assistedpedagogic approaches become increasingly common and data-driven decision support systemsgain prominence in the professional domain, there is an urgent need to equip students to thrive ina knowledge-based economy [1]. Technological innovations in analytics, optimization,information sourcing, and prediction using tools like artificial intelligence help studentsovercome the barrier of resource access in the learning process [2,3]. The aforementioned toolsare found to be effective in assisting the industry in rapid production and
attractive to underrepresented groups in engineering.The purpose of this paper is to describe the course and assess its effectiveness both in terms ofimplementation and in terms of student learning. Specifically, this paper will: (1) describe thecourse objectives, course topics, and course assignments, (2) describe what has worked well andidentify areas for improvement, (3) provide recommendations for other faculty interested inimplementing a similar course or incorporating these themes into already-existing courses, and(4) summarize students’ perceptions of and learning within the course. To evaluate studentlearning and feedback on the course, a final reflection assignment, as well as comments withinteaching evaluation surveys, both completed by
ethical dilemmas, this cases were coded and analyzed andgrouped for this study. Case study examples were developed from the first-hand cases shared bythe participants, individually, with the ones with more detail selected for this paper.Demographics of the ParticipantsThe demographic data for 13 participants who were selected and completed the interviews arepresented in Figure-1 below, for gender, race, current place of employment, years of professionalexperience, are field of employment. As can be observed from the pie charts, majority (75%) ofthe participants identified as male, with 69% reporting their race as white. At the time of theinterview, most of the participants (54%) were employed by the private sector, followed byacademia (23%) and
engineering degree programs is the critical ability of mental rotation, whichunderscores the significance of engineering design graphics courses. The ability tomentally rotate objects is fundamental to the engineering design process, making thesecourses crucial for student success so much that The Accrediting Board for Engineeringand Technology (ABET) promotes that programs provide experiences in engineeringgraphics courses committed to strengthening students' visualization and mental rotationabilities [1, 2, 4]. As gauged by GPA, academic success significantly shapes a student's academicand social journey within an institution (13). This correlation underscores the pivotal roleof academic success in influencing retention and persistence rates
† Angel Flores-Abad5*† 1 Post-Doctoral Research Fellow 2 Undergraduate Researcher 3 Associate Professor 4 Professor 5 Assistant Professor afloresabad@utep.edu * Aerospace Center ** Engineering Education and Leadership Department † Aerospace and Mechanical Engineering Department The University of Texas at El Paso, El Paso, Texas 79968, USAAbstractAcademic intervention in underrepresented students during the early years of their engineeringprogram plays a
of social media is becoming widely recognizeddue to its ability to enhance student participation, engagement, and the overall learning experience[1]. The rapid evolution of social media platforms like Facebook, Instagram, and Twitter, initiallycreated primarily as social networking sites, has made them viable platforms for educationalpurposes, reshaping how information is disseminated and consumed in academic settings. Pleasenote, in this study, we are not referring to Twitter as “X” intentionally, as when we first startedworking on this article, Twitter had not been renamed and all sited sources predate Twitter’s namechange to “X”.Recent studies in engineering education suggest a shift. Traditional teaching methodologies arebeing
thefuture.IntroductionEngineering design, defined by ABET [1], “is a process of devising a system, component, orprocess to meet desired needs and specifications within constraints. It is an iterative, creative,decision-making process in which the basic sciences, mathematics, and engineering sciences areapplied to convert resources into solutions. Engineering design involves identifyingopportunities, developing requirements, performing analysis and synthesis, generating multiplesolutions, evaluating solutions against requirements, considering risks, and making trade-offs toobtain a high-quality solution under the given circumstances. For illustrative purposes only,examples of possible constraints include accessibility, aesthetics, codes, constructability, cost,ergonomics
population of undergraduate biomedical engineers (BMEs).Establishing a strong sense of belonging is inextricably linked with student engagement [1, 2],community building [3, 4], and retention of college students [5]. Students who feel like theybelong to their university, their major, or at least feel a sense of belonging in their highereducation are not only more likely to stay with their field of study [1] but also perform betteracademically [6], engage more attentively in their classes [7], and become more persistent [8].Strategies for improving the sense of belonging have documented an increase in the performanceof students and successful graduation from their respective engineering major, which translatesinto improved success in setting and
initialoutcomes of our reimagined first-year seminar, with a specific focus on evaluating preciseengineering skills through the application of the Engineering Student Entrepreneurial MindsetAssessment (ESEMA) survey [1].As a pivotal component of this transformative initiative, we introduce the "Mission to Mars"project, serving as a cornerstone within the Engineering Fundamentals course. Far beyond aconventional educational endeavor, this project epitomizes the commitment to instilling anentrepreneurial mindset [2] in students. This approach is meticulously designed to not only exposestudents to the challenges and wonders of engineering but also to foster an innovative andentrepreneurial spirit.The KEEN FrameworkThe Kern Entrepreneurial Engineering
-methods research projects centered around diversity and inclusion in engineering. She will begin a Ph.D. in Biomedical Engineering with a focus on Engineering Education at the Georgia Institute of Technology in Fall 2024. ©American Society for Engineering Education, 2024 Work-In-Progress: How an Engineering Education Research Team’s Culture Impacts the Undergraduate Research ExperienceIntroductionThe impact of undergraduate research experiences (URE’s) on students' development asresearchers and STEM professionals has been studied since the early 2000s [1]. Students whoparticipate in UREs have reported that such experiences helped them clarify and confirm theircareer choices and
paradigm isexpanding to a more holistic view that also considers the socioeconomic impact of physicalfailures (i.e., community resilience). Given multi-faceted disaster impacts on society, it is alsobecoming more critical to consider and balance varying impacts among multiple stakeholders. Toprepare future civil engineers to fulfill a risk manager role, the civil engineering curriculumshould expand to also address these elements. These skill sets are also directly related tofostering the 3C’s of the KEEN Network’s Entrepreneurial Mindset for creating value,connections, and curiosity to promote entrepreneurial mindset learning [1]. This development isfurther supported by the ABET engineering education criteria expansion, specifically for
instruction in first-year engineeringprograms. IntroductionGenerative artificial intelligence (GenAI) is increasingly used in both academic and professionalsettings, including engineering and engineering school. With GenAI, users can prompt largelanguage models (LLMs) that have been trained on existing data to generate text, images, andother media with similar characteristics. Used appropriately and ethically, GenAI could supportengineering students in their problem-solving, ideation, design, and learning [1]. But studentsmay use GenAI software inappropriately, possibly leading to intentional or unintentionalacademic dishonesty, inaccurate source citations, or reduced competence in essential skillsneeded
diverse educational tools to improvecomprehension and application in realistic scenarios.Keywords: circuits, potential differences, current, Phet simulations, physics course, engineeringstudents, educational innovation, higher educationIntroductionIn the wake of the COVID-19 pandemic and the subsequent shift to Preventive and MandatorySocial Isolation measures, educators and students alike have been prompted to reevaluatetraditional teaching structures [1], [2]. This global crisis has accelerated the adoption of hybridteaching modalities, necessitating innovative approaches to ensure effective learning outcomes[3] – [5].Among these approaches, the Interactive Lecture Demonstration (ILD) methodology, pioneeredby [6] Sokoloff and Thornton in 1997
Virginia Tech.Todd Schenk, Virginia Polytechnic Institute and State UniversityLucas Michael Goodman, Virginia Polytechnic Institute and State University ©American Society for Engineering Education, 2024 Combating the Spread of Antibiotic Resistance Negotiation Simulation: Using Serious Games to Simulate Policy DeliberationIntroductionAntimicrobial resistance (AMR) is a critical public health threat both in the United States andglobally. AMR is when microorganisms, such as bacteria, fungi, and parasites, no longer respondto the medications that are intended to kill them [1]. In 2019 alone, 1.27 million people globallydied as a direct result of antibiotic-resistant infections, and it has been
about a newconcept. In creating a mental model through the application hierarchical level, participants wouldassess similarities and differences between concepts, test ideas, and conduct further research asneeded. Within the analysis hierarchical level, participants would use mental models by breakingdown information into (1) what was given or what was known (2) additional information wasneeded and (3) steps needed to solve the problem. If participants used the synthesis hierarchicallevel to build a mental model, information would be connected to old mental models to create alarger mental model or wider understanding of a topic. Finally, when asked about use of mentalmodels within the evaluation hierarchical level, four participants had a clear
onengineeringThroughout the co-development process, we made space and time to gather the opinions andinsights of stakeholders. We were intentional about everyone bringing their own interdisciplinaryknowledge, as well as disciplinary knowledge, to the discussion. The co-development processincluded six steps. These steps are delineated and articulated below.first stepFirst, we worked with industry stakeholders and industry funders to define the skills, knowledgeand dispositions needed to become a successful entrepreneur whose business model emerges atthe intersection of social entrepreneurship and engineering. We did the following: 1. Started with a research-based list of competencies and gathered feedback from industry stakeholders on that list 2
the habitat. Finally, the smaller groups integrated theircomponents and collaborated to maximize the energy efficiency and performance of the Solar-powered Habitat.The assessments of this project were designed for each level of teamwork: 1) Studentshighlighted their contributions through an Engineering Portfolio. 2) Smaller groups reflected ontheir design and building process by submitting weekly engineering logs and a semester-endposter. Finally, 3) Each group habitat (comprising 5~6 groups) presented its energy-efficienthabitat design in the first-year design expo at the end of the semester. The ongoing datacollection of this effort on project-based, multidisciplinary, multilevel teamwork proved how thisproject design effectively cultivated
semester and at the end of each semester of a 2-semester long coursesequence at a large, midwestern, public, R1 university. We hypothesize that students’ teamworkpredisposition score on teaming may attribute to low evaluations of team effectiveness. Theresults may have important implications for engineering educators and practitioners who seek todevelop effective teamwork among their students and colleagues. Using teamwork predispositionas a criteria for creating teams can be an important factor in better team effectiveness andlearning outcomes in engineering coursework.Keywords: Teamwork Predisposition; Team EffectivenessINTRODUCTIONEffective teamwork is critical for professional success in today's complex and dynamic world[1]. Collaborative work
Site in 2017, continuous trainings (courses)are offered to undergraduate and graduate engineering students. During spring, summer and fallsemesters, students are guided to conduct interviews with potential users of their innovations andrefine their entrepreneurship skills. After seven years of successfully impacting students (blindfor review 1 and 2) a team of investigators is looking into aspects of the training that might havebeen unperceived during prior assessments. In this study, we analyze via quantitative andqualitative methods, the answer to the research question: What aspects of the I-Corps Siteprogram experience could be enhanced or modified based on performance and perceptions ofparticipants? To answer this question, we focused on
, presents challenges related to self-regulation andadaptability [1].The COVID-19 pandemic has significantly impacted online learning, leading to a shift fromtraditional face-to-face teaching to emergency remote teaching. This transition has underscoredthe importance of a thoughtful design and development process in online education to ensureeffectiveness [1]. The pandemic has also prompted a rapid shift to online teaching in highereducation institutions, emphasizing the need for innovative approaches to maintain the quality ofeducation [2].Online education has been recognized as a valuable platform for providing educational services,including specialized training and adult retraining programs. Online platforms have particularlybenefited individuals
traditional daytime undergraduate curriculum. By"compressed version," we mean teaching the same program as the daytime undergraduateprogram, with the same level of demand, but in a shorter period and without makingsignificant adaptations to the reality of "working students."At least initially, there exists a perception that generally, only a minority of students enteruniversity driven by intrinsic motivation [1], and an even smaller portion envisions a careeras an academic or researcher [2]. Typically, motivations tend to be more pragmatic,especially acquiring a degree and the necessary learning to gain access to employment orundertaking ventures that allow them to make a living. Working students aim to obtain aprofessional degree that offers them
that does not have a tangible product as an outcome or answer, and sometimes struggleto relate concepts that, while important, are more theoretical to their intended majors and careers[1]. In the authors’ experiences, foundational engineering courses that cover non-technical skillssuch as problem solving, teamwork, communication, recognition of holistic issues, and otherimportant transferable skills are especially prone to this challenge of engaging students whocome into the discipline expecting engineering to look more like the more concrete math orscience courses they are familiar with from their prior studies. Community engagement projects,also commonly referred to as service-learning projects, are one way that instructors facingsimilar
data were collected throughwritten responses to questions on specific positive or negative student experiences and attitudes.Four main outreach trends emerged: 1) Students enjoy attending outreach events and find ithelpful to themselves and to society; 2) Attending events leads students to want to participate inmore; 3) Lack of time is by far the top hinderance; 4) Students are motivated by mentor support.Study findings suggest three possible steps to implementing a targeted strategy for broaderimpact student outreach that aligns with student desires at university research centers: 1) Choiceof outreach events should emphasize the contribution to society; 2) Outreach recruitment shouldemphasize skills students will gain; 3) Faculty mentors
formationof civil engineers through development of engineering identity, sense of belonging to theprofession, and motivations to pursue civil engineering and continue to persist in the degree andcareer.IntroductionEarly-stage undergraduate engineering courses often include open-ended design problems to givestudents an opportunity to practice engineering at the beginning of their academic pathway.Problems have two attributes: they are an unknown entity in some situation, and solving theunknown entity will have social, cultural or intellectual value [1]. Most fundamental science andengineering classes outside of design courses feature problems that are complex in that they havemany interrelated variables; they are also well-structured. These types of
Shifting Perceptions, Attitudes, and Cultures in Engineering (SPACE) Lab group and her research interests include broadening participation in engineer- ing, engineering leadership, and experiential learning experiences in engineering. She received her B.S. in Industrial Engineering from the University of Pittsburgh and her M.S. in Human Systems Engineering from Arizona State University.Dr. Meseret F. Hailu, Arizona State University Dr. Meseret F. Hailu is an Assistant Professor of Higher and Postsecondary Education at Arizona State University. Her research focuses on the retention of minoritized women in STEM higher education path- ways. Recently, her work has focused on 1) how Black immigrant women in the U.S. persist
Research Experiences for Teachers (RET) program is seen as vehicle for introducing Page 26.350.2engineering into secondary school curriculum to enhance science and mathematics instruction aswell as a strategy that prepares teachers for improving interest and achievement of students in theSTEM subjects 1. A RET program was implemented at our university to provide an authenticresearch experience for high school science and technology/engineering teachers, as part of aresearch team, within a University research center, and in collaboration with a K-12 Centerwithin the University. The professional development program was designed to provide the
Education, 2025 Supporting Engineering Graduate Students to Create Inclusive Learning Environments: A Professional Development Program at a Hispanic-Serving Institution Keywords: Graduate, undergraduate, engineering IntroductionIncreasing diversity and equity remains a national goal for STEM (science, technology,engineering, and mathematics) education in the United States [1], as men and white individualscontinue to receive a disproportionate share of STEM bachelor's degrees and are overrepresentedin the national STEM workforce [2]. Creating cultures of inclusion at institutions and withinSTEM departments and classrooms is vital for the success of
. 4Purpose & Research QuestionsOur study seeks to address the unique challenges faced by Black/African American undergraduatestudents in STEM entrepreneurship and to develop targeted solutions. By identifying specificbarriers and motivations within this demographic, we aim to enhance the STEM-RAEE programand better address these issues. The following results and discussion provide insights from ourresearch that will guide the creation of tailored interventions to increase diversity in the STEMentrepreneurship ecosystem.Utilizing pilot survey data from over 80 Black/African American students across two HBCUs, ouranalysis focused on three primary research questions: 1. Barriers: What specific barriers do students anticipate encountering
. The key advantages of this approach were access to equipment,flexibility on when and how experiments are conducted, and the curiosity-driven engagementfostered. However, this approach lacks one-on-one engagement, academic dishonesty, and theuse of specialized equipment [1], [2]. It established a difference and, in some respects, increasedstudent engagement. The development of troubleshooting skills and confidence in settingexperiments are a few key observations [3]–[5].The COVID-19 pandemic, which hinders knowledge transfer to students by restrictingmobility and providing significant logistical and safety issues, has rendered this traditional modeof instruction ineffective. With little to no time to consider the effects of the transitions on
important not only as a sources of future leaders in science andengineering, but also as an indispensable underpinning of national strength and prosperity—sustaining the creativity and intellectual vigor needed to address a growing range of social andeconomic concerns” [1, p. 17]. The National Academies also strongly advised that the ultimatesuccess of graduate STEM education depends on the diversification of access and practices that“create an equitable and inclusive institutional environment” [1, p. 77].While most literature aggregates “graduate students” together, it is imperative that the research,practice, and student support communities begin to understand the differences between PhDstudents and master’s students, and the roles they fill in