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
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
challenges, this study amplifies the clarioncall for fostering participation and inclusivity in engineering doctoral programs.IntroductionPromoting diversity within the engineering workforce is a critical national priority, underscoringthe need for broader participation and the cultivation of inclusivity [1]. The infusion of diversityinto the field of civil engineering in the United States yields numerous advantages, including amultifaceted project perspective, heightened project value, the enrichment of knowledge, talent,and ideas, access to expansive networks, and the production of superior final products necessaryfor global competitiveness in infrastructure [2]. Consequently, achieving this imperative requiresa comprehensive examination of the
mastery experiences are not enough to build general computing self-concept. Sincea lack of computing confidence in women can cause negative attitudes towards the field ofcomputer science, future work should focus on ways in which this confidence can be increasedso as to try and minimize the number of women avoiding or leaving the field of computerscience.1. IntroductionThe gender gap in computer science is not a new problem. For over two and a half decades,women have earned less than 25% of bachelors degrees in computer science [1]. Diversityinequities such as this are a problem because they lead to computer science based innovationsthat are biased, like voice recognition software that cannot recognize female voices [2]. Theyalso take power away
AbstractFarmingdale State College (FSC) has taken a multi-faceted approach to tackle the issue of thelow number of women students enrolled in its computing degree programs. FSC has only 8-16%women enrolled in its computing degree programs over the past decade despite doublingenrollment in these programs during the same time. Recognizing the gender disparity incomputing is well-documented as a global and national issue, the three women in computinginitiatives (support programs) instigated at FSC from 2020 are as follows: 1) maintaining awomen in computing student club, 2) hosting summer orientation programs for womencomputing students, and 3) attending women in computing conferences. This study utilizes endof semester surveys as a quantitative tool and aims
performance.A student entering an engineering college in the 1980s may have heard the phrase, “Look to theleft, look to the right, only one of you will become an engineer.” While some of us may haveheard that phrase when entering college, today the aspirational objective should be, “Look to theleft, look to the right, all three of you have the opportunity to graduate as an engineer.”Several factors are creating challenges in meeting this aspirational objective: student preparation,student demographics, and student to college adaptation [1][2][3][4][5].Student preparation is one of the most challenging elements a college can face. Incoming studentpopulation preparation is changing. Over the last 5 years, students that are entering engineeringare less
impacted women students’ SoB and ASC.1. Introduction and BackgroundGender imbalance in computing programs is a persisting issue not only at Farmingdale StateCollege (FSC), but also at the national and international level. The authors have taken a multi-faceted approach to balance the gender gap by running multiple support programs at FSC moreconsistently since fall 2019 [1]. This paper focuses on the intervention of providing womenstudents with an opportunity to attend an overnight, women in computing conference. Preliminaryresults from the first in-person overnight mixed-gender field trip in spring 2022 were positive [2].This paper evaluates the impact of the second in-person overnight trip, that was limited to womenonly in spring 2023.Enrollment
University (HBCU); Experiment-Centric Pedagogy (ECP); Science, Technology, Engineering, Arts and Mathematics (STEAM). 1IntroductionThe overall goal of our project is to identify existing and future gaps in our country’s nuclear energyworkforce and to bring to the pool a trained workforce of minority students graduating from our HBCUs.This is important because the Board on Higher Education and Workforce (BHEW) at the USA NationalAcademies of Sciences Medicine and Engineering (NASEM) continues to provide the academiccommunity, policymakers, and businesses with insights and recommendations on critical highereducation and workforce issues facing our nation [1]. Secondly, BHEW previously identified that
,making education more accessible, efficient, and effective for students, like the introduction ofthe calculator. However, there are concerns that generative AI tools can also be misused and leadto unethical behavior. For example, students could use these tools to plagiarize essays, cheat onassignments and exams, and thereby devalue the learning experience for themselves and others.A mixed-method survey was developed to answer the following research questions:1. How many first-year ME students use generative artificial intelligence tools?2. How do first-year mechanical engineering students utilize generative artificial intelligencetools?3. What are the perceptions of first-year mechanical engineering students about the utilization ofgenerative
decades or so since the TELPhE division was founded from workshops held by theNational Academy of Engineering it seems, I would not wish to be dogmatic about this, tohave gone through three phases [1]. The first, was in the provision of engineering courses fornon-engineering students, and in particular as ‘minors’ [2]. This lasted, although excellentpapers continue to be submitted in this area of technology, until about 2014 when theDivision published a monograph on “Philosophical Perspectives on Engineering andTechnological Literacy” following the inclusion of ‘philosophy’ into its activities in 2013 [3].There was then a flurry of activity in the philosophy of engineering education, and three morevolumes were produced. Subsequently, while papers
, sustainability, resilience, the role ofhumans in ecosystems, and system-scale impacts and benefits to both humans and environment.The theoretical basis of ecological engineering is largely credited to Howard T. Odum, a systemsecologist who, in the early 1960s, began publishing his ideas on applications of ecosystem scienceto design systems that do useful work for people while at the same time benefiting the environmentunder the name of “ecological engineering” [1, 2]. The definition and practice of ecologicalengineering have since expanded to encompass a variety of systems that benefit people and naturalsystems, including constructed marshes to regulate water quantity and quality while providinghabitat functions, biologically diverse and hydraulically