of the authors and do not necessarily reflect the viewsof the funding agencies. The research study has been approved by theInstitutional Review Board at George Mason University. 1 Discussion about Algorithmic Data Bias • Algorithms and AI support almost every technological system today. • Algorithmic data bias refers to systematic errors in an algorithmic system that hurt or favor one group of individuals over others. Can occur at any point of the data pipeline (collection, cleaning, analysis, reporting), Are difficult to fix depending on the context of the data, Can have many
to the NSF. At this point in the process we need you to think about the steps it would take for you to form your own S-SEM project. As you think about this process, prepare to answer these following questions: 1. What strategies would you use to identify partners? 2. What goals and interest would you share with your partners? 3. What resources would you share? 4. What other information do you need? If you desire additional resources around reflecting about partnerships or with partners, please see Appendix B in this open access journal article: https://doi.org/10.1002/jee.20403Research Methods: Descriptive Case StudyA case study is a research design methodthat involves collecting data from a specificsubject.A descriptive case
other academicinstitutions to develop effective targeted programming.1. Introduction1.1 Existing demographics of STEMHistorically and currently, science, technology, engineering, and mathematics (STEM) fieldshave been characterized by a lack of diversity, with limited representation from variousdemographic groups [1-6]. Although the workforce has become more diverse in recent years,there are still significant disparities in the representation of women, racial minorities, and otherhistorically underrepresented demographics [2,7-9]. Within the US, the dominance of White menin STEM flourished due to legal barriers that prevented access for other groups until the 1960s[2,7-9]. This domination has been institutionalized through a range of laws and
PolyPomona). Identifying the CSFs is essential as sociocultural, academic, and environmental factorssignificantly affect transfer students' academic performance. The author composed a series ofquestions that fall into sociocultural, academic, and environmental factors (this survey wasapproved by the CPP IRB 23-003). A total of 41 transfer students responded to the survey, andthe author identified CSFs for transfer students as 1) a sense of belonging, 2) networking withfaculty, staff, and peers, and 3) advising for career development and available resources from theuniversity. The identified factors should be addressed when the university develops a newprogram for transfer students.IntroductionThe State of California, which has the most extensive
Denver-Metro Engineering Consortium),funded by the US Department of Defense1 is a pathways model designed to introduceunderrepresented community college students to engineering bachelor’s degree programs andentry into the engineering workforce. As part of this six-year-long program to encourage studentsinto and through a pathway that prepares them for an engineering career, the EngineeringMomentum initiative incorporates multiple programs that foster engineering awareness, includinga robust summer internship which allows students to gain valuable engineering researchexperience. The program anticipates 425 students will participate in Engineering Momentumthroughout the six years of the grant (see Table 1), with a subset of ~300 of these
uncertaintywithin these bureaucratic structures and adversely affecting the students' academic and careerpaths (McGee, 2023). 1 The organizational culture also significantly contributes to the stress experienced byBlack doctoral students in STEM. This culture, embedded within universities and STEMinstitutions, leads to feelings of isolation and imposter syndrome, intensifying the "chilly"climate and impeding academic progress and success (McGee et al., 2019). McGee et al. (2022)also shed light on the influence of organizational culture in fostering racism camouflaged asimpostorism within STEM institutions. This perpetuates the "chilly" climate by reinforcingfeelings of not belonging and self-doubt
critical contributor towards the development of aglobally competent scientific and engineering workforce. The Open Doors report published bythe Institute of International Education, the leading not-for-profit educational and culturalexchange organization in the United States has shown that over the decade pre covid-19 therewas a steady increase from 273,996 students participating in Study Abroad in 2010/2011 to347,099 in 2018/2019, a 27% increase in the number of US studying abroad. The percentage ofSTEM students have also increased over that period from 19.0% in 2010/2011 to 26.8% in2018/2019. All minority students and STEM students accounted for 28% and 25% respectively,in 2015/2016, and increased to 30.9% pre pandemic [1]. The 2023 Open Doors
empirical comparison of undergraduate online courses and equivalent face-to-facemechanical engineering courses indicated that the overall learning effectiveness and studentsatisfaction were equivalent between online and traditional classroom education. The authorsconclude “that the overall learning effectiveness of online learning is equivalent to traditionalclassroom education, and it is not degraded due to the online format of instruction which is themajor concern of many educators”. Online students even rated their acquisition of knowledgeand the quality of the course marginally better [1]. Furthermore, a study at South Dakota StateUniversity based on the development of an Active Learning Cloud Program found thatblended/hybrid learning in
impact on studentengagement, retention, and workforce development. The use of active learning techniques inSTEM fields has grown in popularity as a successful way to improve undergraduate students'educational experiences and academic performance. Active learning aims to increase studentparticipation, foster self-efficacy, and motivate students to pursue careers in STEM fields.Over the past few decades, active learning has grown in popularity as a set of teaching strategiesin higher education. In contrast to traditional passive learning through lectures, active learninginvolves students directly in the learning process [1]. Active learning is a teaching strategy thatinvolves involving students in the process of learning by using collaborations
hardware—typically acamera—and software—typically control code or other image processing operations—thatinterprets information from an image to inform decisions in many different applications [1].These applications include—but are not limited to—manufacturing processes, control ofautonomous vehicles, and medical imaging. With the advent of self-driving vehicles and othersimilar technologies, students are becoming increasingly familiar with consumer uses formachine vision. In turn, the application of machine vision in various engineering disciplines isbecoming increasingly apparent to student; thus, the perceived utility of creating a machinevision system in a project-based learning environment may be motivating to students [2].Previous work
methods to increase the participation and success of marginalized communities and non-traditional students in engineering and construction management. ©American Society for Engineering Education, 2024 Can Construction Education Programs at HBCUs Increase the Number of African-American Construction Managers in the United States?Abstract – The U.S. Construction Industry continues to grow even as other industries slow downor decline. This growth fuels a need for more people to enter the field of construction not only astradesmen or laborers, but also as construction managers. According to the Bureau of LaborStatistics, in 2022, 89.8% of construction managers in the U.S. were white. [1] Although debatecontinues
, EA runs directly against most cases for “Engineering as an altruistic STEM career” [1].EA doesn’t pose a higher good of civic involvement or service against the temptation tomaximize elevated personal earnings. Most surprisingly, EA advocates often treat empathy, acentral focus of much current engineering education research, as a mere shortcoming in decision-making, misdirecting altruistic impulses to causes that are emotionally engaging but logicallysubordinate to causes with more proven need or measurable benefit to be discovered by “runningthe numbers.” This paper looks at the prominence of effective altruism among STEMprofessionals, considers its tensions with practices in empathic and socially engaged engineeringeducation, and treats
, succeed a lot”: How validating experiential learning influenced civil engineering students’ approach to coursework.IntroductionThe U.S. workforce needs engineers, and current enrollment, persistence, and graduation inundergraduate engineering programs are not on track to meet those needs. Civil engineersdesign, construct, and manage projects to meet society’s need for transportation, water,buildings, bridges, water and wastewater treatment and other infrastructures. With continuedU.S. investment in these backbone systems, the demand for civil engineers is increasing at a rateof 5% over the next 10 years which is faster than the average for all occupations [1]. Like otherengineering disciplines, an entry level position requires
-American female currently teaching in the faculty of the College of EngineeringKyle Turner, University of Cincinnati ©American Society for Engineering Education, 2024 “Draw an Engineer” (Work in Progress, Diversity)AbstractAmerica is falling behind in terms of educational success on the international stage [1].Institutions across the US have noted that to strengthen our next generation of thinkers, a focuson improving the diversity of thought is needed, an issue easily solved by expanding the racial,ethnic, and gender diversity of those working on innovative problems [2]. This is most evidentlyobserved in the science, technology, engineering, and mathematics (STEM) fields where therenot only
programs. However, after admission, the problem ofretention becomes salient for underrepresented minority groups (URMs) in academia 1 . As youngBlack engineers continue to enter advanced graduate studies, it becomes important to examine thefactors that impact how they enter and ultimately decide to leave the institution. In this work, weused the autoethnographic method to share our experiences and illustrate the issues faced by BlackPhD students at elite research institutions. We relate our experiences chronologically starting withthe expectations from peers once arriving on campus, moving into the expectation of solving auniversity’s equity problems, and ending with the mental burdens of coping with an unhealthywork environment. All of these
. Women of color (WOC) are anunderrepresented and underserved community [1] in engineering who can offer underutilizedintellectual capital. Despite efforts in engineering education, however, WOC remain repressed inengineering as well as most university-level engineering programs in the US [2]. A possiblereason for the repression of WOC in engineering may be from the underlying epistemologies ofthe field itself.The foundational epistemologies of engineering in the US were established in the mid-19thcentury through engineering societies in various universities [3]–[7]. Not surprisingly, due to thesociopolitical climate in the US at the time, the only individuals with access to these societies(who therefore shaped their values and cultures) were
Research Fellowship and an Honorable Mention for the Ford Foundation Fellowship Program. ©American Society for Engineering Education, 2024“I see myself as an engineer”: Disentangling Latinx engineering students’perspectives of the engineering identity survey measureIntroductionConsiderable effort has been made to understand undergraduate students’ engineering identityformation and its effect on student success. Engineering identity development is a criticalpsychological construct impacting student experiences within engineering. Particularly,engineering identity has been linked to improved feelings of belonging [1], [2], [3], [4], motivationto enroll in an engineering program [5], leads to greater certainty of
student experiences, computing education, fostering mastery-based learning mindsets, and assessments. ©American Society for Engineering Education, 2024 (Re)visions: Approaches to Teaching Technical Communications and Professional Development in a Multidisciplinary Engineering Capstone Course1. IntroductionIntegrating writing pedagogy-based practices and instruction into capstone curriculumdemonstrates the interconnectedness of the disciplines. While engineering programs and alumniof those programs report a need for technical and professional communication skills as part oftheir career success [1]. Success in their careers will depend on their ability to
only deepens understandingbut also enhances innovation as students learn to navigate and manipulate the interfacebetween digital and tangible realms. The workshop at ASEE 2023 [1] was crafted with these imperatives in mind, aiming to bridgethe gap between theoretical constructs and their real-world applications. It focused on PBL, aneducational approach that fosters critical thinking, problem-solving, and collaboration throughcomplex and challenging projects that reflect the ambiguity of real-life scenarios. Hands-onactivities were not merely ancillary; they were central to the learning process, ensuring thatparticipants could apply theoretical principles in a tangible setting, reinforcing their learningthrough direct experience. The
Engineering Education, 2024 A Case Study of Integrating Leadership Competencies in a Global Engineering Design Course: A Work in ProgressIntroductionEngineers have a strategic leadership role in tackling the world’s challenges such as the globalenvironmental challenges, infrastructure modernization needs for an expanding population,technological innovations and developments demands, and global health problems [1].Similarly,the engineering world has become increasingly global with many companies establishing globalpartnerships, international alliances, cross-border mergers and acquisitions for increasedproductivity and competitiveness [2][3]. For instance, the recent merger between two techcompanies, Broadcom and VMWare, required
PRISMA-ScR (Preferred Reporting Items for Systematic reviews andMeta-Analyses extension for Scoping Reviews) checklist (Tricco et al., 2018). Our reviewfollowed the six stages presented by the JBI Manual: 1) Objectives and research questions, 2)Information sources and search strategy, 3) Inclusion criteria, 4) Data management and selectionprocess, 5) Data collection, item, and synthesis, and 6) Outcomes. The current work-in-progresspaper focuses on stages 2) and 3), highlighting the significance of developing an effective searchprotocol and strategy and its impact on the quantity and quality of the identified literature. Theobjectives and research questions of the scoping review are presented below.Objectives. Identifying and synthesizing
, and the Journal of Applied Research in theCommunity College. For this review, the team bound the study and selection criteria to ensure that thescholarship included was relevant to the topical area rather than simply relying on theresearchers’ familiarity or agreement with the available scholarship. Exclusion criteria wereidentified to outline how researchers eliminated studies from consideration and defined thepurpose of the study (DePoy & Gitlin, 1994). For this study, inclusion and exclusion criteriaincluded: 1 1. The study was published between 2013 and 2023. 2. The study was peer-reviewed articles, book chapters
communicate expected deliverables to the need-knowerat the time of recruitment and interview. This preliminary work must be followed by furtherstudies in order to establish generalizable results. Regardless, we present potential methods formanaging projects in assistive device classrooms that focus on early product design stages.IntroductionMechanical engineering is a discipline that encourages invention in the service of individuals andsociety, a motivating factor for many students to pursue this discipline. 1 Naturally, assistivedevice design classes enjoy popularity; they also interact with ableism and cultural tensionsbetween disability and technology. 2 As instructors seek to expose students to real-world designscenarios, many community members
engineering instructorsuse pedagogical knowledge in their practices to achieve these more general objectives [1].Instructors' pedagogical knowledge affects their classroom practices, which in turn affects boththe effectiveness of students' learning and their attitudes about learning [2]. Whatinstructors bring to the table is the primary factor that influences how they make decisionsconcerning college-level courses and activities [3]. Understanding how instructors' pedagogicalknowledge is put into practice for the best possible student learning and accomplishment wouldhelp us to create sustainable progression.Retention statistics persistently demonstrate that American engineering students who discontinuetheir studies do so during the first two years
silica fume. Thefirst mix was a control group consisting of concrete with typical ingredients (Test A), while theother four mixes were Test B, Test C, Test D, and Test E. Test B consisted of mix in Test A +flyash (1/3rd the weight of cement in the mix), Test C involved replacing 1/3rd of the weight ofcement in Test A with an equivalent weight of fly ash, Test D consisted of mix in Test A +silicafume (1/3rd the weight of cement in the mix), and Test E involved replacing 1/3rd of the weightof cement in Test A with an equivalent weight of silica fume. The addition of pozzolan affects the properties of fresh and hardened concrete such astemperature, workability, density, air content, compressive strength etc. Therefore, studentsconducted
Innovation:Course Vision: Our Global Engineering course is deeply rooted in the vision and values of theSchool of Engineering at the University of Mount Union. The School of Engineering is committedto providing a holistic engineering education that prepares students for the challenges of aglobalized world while fostering their leadership and communication skills. Our institution's visionfor engineering education is encapsulated in our four pillars of engineering education, which areguided by the National Academy of Engineers' principles [3] and Mount Union's tradition as aliberal arts institution. These pillars are: 1. Providing Extensive Hands-On Real-World Engineering 2. Nurturing Global Engineering Competence 3. Integrating Engineering
challenges. A fundamental aspect of this preparation lies in programming proficiency,which serves as a vital tool for analyzing data, simulating systems, and developing solutionsacross various biomedical engineering domains [1]. Much discussion has been had aroundwhich programming language best prepares students for success in the biomedical engineeringworkforce.In recent years, the programming landscape within BME education has witnessed a shift,mirroring broader trends in the medical technology and biotechnology industry [2].. MATLAB,long regarded as a staple in biomedical engineering classrooms for its robust numericalcomputation capabilities and user-friendly interface, has begun to share the spotlight withPython, a versatile and increasingly
broaderrange of student responses).IntroductionThe landscape of educational data collection is rapidly evolving, with significant increases instudent enrollments and class sizes leading to an unprecedented growth in textual data fromacademic sources, such as assignments, assessments, and student feedback instruments [1] - [3].This proliferation of textual data presents a critical challenge: manual analysis methods areincreasingly untenable due to their time-intensive nature, highlighting the necessity forautomation in the assessment process, whether in whole or in part [4]. In response to this need, asignificant body of recent research has focused on the use of Natural Language to assess studentwork in the form of short answers, essays, or other
. 3.2. Walked through the parts of the sensor using example sensor that we (the virtual instructor) had. (*Note – At Pitt, we had the same monitor so we were able to talk about the monitor through both pictures on the slides and physically over Zoom.) 4. To prepare for the next module, we instructed the students to consider what places or areas they want to set up the monitor to collect data. Module Session 5 LO 5. Creating a Monitoring Program and Collecting Data 1. Reviewed major takeaways from previous modules 2. Creating a Monitoring Plan 2.1. Defined what a Monitoring Plan is for the students 2.2. Think-Pair-Share Exercise on brainstorming AQ monitoring locations 2.3. Finalized the Monitoring Plan
including: 1) bio-instrumentation,2) drug kinetics, 3) mechanical systems, and 4) organ models. Undergraduate biomedicalengineering students frequently struggle with the intersection of mathematics in these domains asthe problems require students to freely recall various techniques to solve systems of differentialequations in story-problems. This is in contrast with many differential equations textbooks thatemphasize rote memorization methods or provide subtle hints of the particular method and orprocess to be used to solve pre-written mathematical functions. Within engineering disciplines, itis important for students to actively read story problems or interview stakeholders to identify keyconstraints, and governing physical and biological