Education, 2023Examining the impact of state-level affirmative action bans on the enrollment of historically excluded students in engineering schoolsIntroductionAffirmative action policies were originally implemented in the United States to correctdisadvantages felt by historically excluded groups [1]. Nine individual U.S. states have sincebanned affirmative action practices. These bans extend to college admissions, where applicantcharacteristics such as race and gender can no longer be taken into consideration. Past researchon university enrollment in all degree programs has shown a decrease in enrollment of Blackstudents, both overall and at public institutions specifically, associated with state-levelaffirmative action bans [2]. Because
effect on achievement of thecourse objectives for structural analysis.IntroductionConcrete, steel, and wood are the three most widely used construction materials. Design coursesfor two of these materials are offered at nearly all the colleges and universities in the UnitedStates, while only half of these institutions offer a course on the third [1]. A recent survey by theNational Council of Structural Engineers Association (NCSEA) found that only 52% ofprograms offered wood design, with most of those institutions only offering it once every twoyears [2]. The lack of wood design education is not limited to the United States. Canada,Germany, and Australia have also identified shortcomings in civil engineering education,specifically focused on wood
- terials science instructor for the Engineering 1 program at McMaster University. He was also one of the lead project developers for the first-year multidisciplinary project-based learning course (ENG 1P13). Dr. Yu’s pedagogical approach focuses on experiential learning, collaborative learning, gamified learning, student-centred education, and design-led materials science education. Dr. Yu joined the Department of Mechanical Engineering at the U. of Victoria in September 2022 as an Assistant Professor. He leads a research group (”Hybrid 3D”) that leverages additive manufacturing to develop new generations of hy- brid materials that are lightweight, recyclable and highly tunable to solve global sustainable development
University to redefinethe way engineering mathematics is taught, with the goal of increasing student retention,motivation and success in engineering.First implemented in 2004, the Wright State Model involves the introduction of a first-yearengineering mathematics course, EGR 101 Introductory Mathematics for EngineeringApplications (now running under semester course number EGR 1010) [1]. Taught byengineering faculty, the EGR 101 course includes lecture, laboratory and recitationcomponents. Using an application-based, hands-on approach, the EGR 101 course addressesonly the salient math topics actually used in the core first and second-year engineering courses.These include the traditional physics, engineering mechanics, electric circuits and
areas: (1) the webof relationships formed, which cohere into a community; (2) students’ transitions from receivingmentorship as first-year students to mentoring others in their sophomore and junior years; and (3)the feedback and iteration process by which the program has continuously developed, whichforefronts student voice and agency. The paper will provide specific examples in each of thethree key areas described, with a special focus on students’ own descriptions of the meaning theyhave made through their participation in the mentorship program. Recommendations will also beshared for those interested in implementing similar programs on their campuses.The mentorship program forms a complex web of relationships between and among students
past chair of the Research in Engineering Education Network (REEN) and a deputy editor for the Journal of Engineering Education (JEE). Prior to joining ASU he was a graduate research assistant at the Tufts’ Center for Engineering Education and Outreach. ©American Society for Engineering Education, 2023 Examining the Unique Experiences of Transgender and Gender Nonconforming Students in a Pre-College Engineering CourseIntroduction Very little research on transgender and gender nonconforming (TGNC) students inengineering has been undertaken to better understand the experiences of this underrepresentedand largely ignored population. Pawley et al. 's [1] review of published articles in
Ruengvirayudh, P.AbstractThis Complete Research paper will address the timely interventions the first-year science andengineering students used at Loyola Marymount University (LMU) to reverse their initialstruggles, measured by an early alert and/or midterm deficiency, to improved course grades.First-year undergraduate students in Science, Technology, Engineering, and Mathematics(STEM) disciplines face many challenges, including (1) transition and adjustment from highschool to college, (2) time management skills with academic, personal, and socialresponsibilities, and (3) addressing different levels of preparation for their STEM classes. Toaddress the struggles that the students face, the First-Year Advising Committee (FYAC) at LMUconducted a
training methods in the aspect of student attraction andengagement and exploring possibilities to improve them with appropriate game-like elements.1. IntroductionThe modern machining industry remains one of the vital sections of the world economy, with asubstantial workforce - in the USA alone, the machining industry has employed over 300,000skilled machine tool operators, as of 2021 [1]. The issue of an aging and declining machinistworkforce is brought up by industry sources, with an average age of trained professionals in thefield reported at approximately 45 to 56 years [2, 3]. The shrinking workforce causes a need todevise methods to ensure increased enrollment and retention of trained machinists to meet futureindustrial demands. If
Management from Indiana State University with specializa- tion in Construction Management. His research focus is in the area of contract administration on heavy civil projects. His teaching areas include 1. introduction to the built environment and construction man- agement, 2. construction materials and methods, 3. construction equipment, 4. building construction cost estimating, 5. heavy civil construction cost estimating, 6. project planning, scheduling, and control, 7. temporary structures, and 8. contract changes and claims management.Prof. Raymond Paul Giroux Dist.M.ASCE, NAC, Purdue University, West Lafayette Paul Giroux worked in the heavy civil construction industry for Kiewit for 45 years and played a key role
resultantsacrifices. We hope this paper not only provides an overview of some of the unique challengesfaced by international women of color, but also drives more interest in better understanding thisoft-overlooked group in engineering.Introduction "Intersectionality is a lens through which you can see where power comes and collides, where it interlocks and intersects. It’s not simply that there’s a race problem here, a gender problem here, and a class or LBGTQ problem there. Many times that framework erases what happens to people who are subject to all of these things" - Kimberley Crenshaw [1]Bi-directional ignorance of and lack of intentional training on working with people of differentbackgrounds, gross unfamiliarity of the
framework forfuture implementation is outlined for use at other institutions.BackgroundMany post-secondary educational institutions are confronted with the difficult task ofminimizing student attrition rates despite a variety of retention factors that may weigh on a givenstudent’s commitment to their institution. This challenge is readily apparent among U.S.engineering programs where annual rates of degree attainment within four to six years havelingered around 50% [1].In order to understand how to retain engineering students, it is first critical to understand whatcauses students to leave. One survey of fifty engineering student retention studies found thatcommon attrition factors included “the unwelcoming academic climate found in manyengineering
group of experts, Datamationidentified nine data predictions for 2022 [1]: 1. Addressing growing data quality concerns. 2. Investing in remote worker cybersecurity and threat detection. 3. The growth of natural language processing. 4. Commodifying the Internet of Things for genuine business needs. 5. Leaning on AI for network monitoring. 6. Data fabrics aiding the management of unstructured data. 7. Tech workers demanding new benefits. 8. Shifting cloud security landscape. 9. Localization meets globalization in data compliance.Interviewing another group of experts, a year later, Datamation identified six data predictions for2023 [2]: 1. AI Boom Fuels Data Science Growth 2. Machine Learning Growth to
(UTAs) have been demonstrated to be a valuable instructionaland supportive resource for students and instructors both inside and outside of the classroom [1].They have been shown to be incredibly helpful in primarily undergraduate universities fordecades providing support in both traditional lecture-based classes and lab-based classes [2].Luckie et al recently summarized the various ways in which UTAs provide support and raisestudent learning in several ways spanning traditional uses like grading and holding office hoursto assisting in the laboratory in both experimental preparation and assistance in experimentaldesign [1]. In a survey of the literature, Luckie and colleagues found that using UTAs in peer-ledteam learning (PLTL) resulted in
management, operation of automated systems,machining, and electro-mechanical maintenance skills, managing cyber-physical systems, andsystem-wide implementation and improvement of technological processes for manufacturingfirms.A curriculum development and assessment committee was formed in the Autumn of 2020 to devisea plan for measuring student learning outcomes based on the Engineering TechnologyAccreditation Commission (ETAC) of the Accreditation Board for Engineering and Technology,Inc [1]. During 2020-2021, the faculty team was charged with the implementation of a robustframework for the assessment of student learning outcomes using Canvas; the university’s learningmanagement system (LMS) which can be used as a tool to help in decision-making
in male students [18]. Among pre-pandemic students, we previously found thatfemale engineering students have a higher grade-threshold for seeking SI [1], are more likely touse SI and with a greater frequency [7], are more likely to find SI helpful [3], and receive greaterbenefits from SI, in terms of improved grade outcomes [2,7] compared to their male peers.Whether an individual is a first-generation college student and/or a member of anunderrepresented population may also impact their self-efficacy and inclinations to seek helpduring their first year of college. For example, Whitley et al. reported that first-generationstudents are less likely to seek out institutional resources, such as SI [19]. Engle and Tintohypothesized that this
, largely, to the student’s faculty advisorwho oftentimes serve as their supervisor/manager for assistantship roles. Theretention and success of graduate students has been shown to rely heavily onthe mentorship/guidance provided to them by their faculty advisors (Fedynichand Bain 2016, p. 1). A communicative, productive, and supportive facultyadvisor-advisee relationships are correlated with better student mental health(Tammy D. Allen and Eby 2010; Evans et al. 2018; Fedynich and Bain 2016;Lee 2018; Levecque et al. 2017; Paglis, Green, and Bauer 2006; Rice et al. 2009;Schlosser et al. 2011; Tenenbaum, Crosby, and Gliner 2001; Van der Lindenet al. 2018; Waldeck et al. 1997; Wrench and Punyanunt 2004). To create apositive environment for their
National Federation of the Blind (NFB) defines a person to be blind "if their sight is badenough--even with corrective lenses--that they must use alternative methods to engage in anyactivity that people with normal vision would do using their eyes" [1]. While the NFB recognizesthat a generally accepted definition for "visually impaired," "low vision," or "vision loss" doesnot exist, the fact remains that people with any level of blindness/visual impairments (BVI) musthave a fair opportunity to understand the world with which they interact. This is especially truefor students with BVI given their need to interact with educational course materials that are ofteninaccessible. Students with BVI face a difficult path in education, where lack of
electronic instruments and audiotechnology in music venues, it is vital that accessibility and equity is ensured for performers ofall sectors; from classical performers, to pop artists, to digital music performers and beyond. Asoutlined in Article 27 of the United Nations’ Declaration of Human Rights [1], “Everyone hasthe right to freely participate in the cultural life of the community, to enjoy the arts and to sharein scientific advancements and its benefits”. Furthermore, Article 19 of this document states that“Everyone has the right to freedom of opinion and expression (.. . )”. An increase in globalawareness of diversity inclusion has led the United Nations among other leadinghumanity-driven organizations to emphasize a need for unrestricted
trajectories through a learning outcomes enhancement cycleIntroductionThe way quality is defined in higher education (HE) depends on whether the object ofassessment is outcomes or processes. For Harvey & Green [1], the notion of quality can beunderstood as exceptional (special, very high standard), as perfection (no-defects), as fitnessfor purpose (meets requirements, fulfills objectives), as value for money (efficiency), and astransformative (qualitative change). Furthermore, quality in HE is linked to regulatoryframeworks and monitoring processes [2]. In the last few decades, quality assurance in highereducation, particularly in engineering education, has gradually shifted its focus towardexternal accountability [3]. In the
exposure to entrepreneurship practices [1]. While traditional entrepreneurshipeducation has focused on self-employment and venture creation, recent advancements haveshifted the emphasis toward developing entrepreneurially-minded graduates. In particular, EEPsin engineering have evolved to focus on cultivating entrepreneurial skills and mindsets,expanding beyond sole enterprise formation [2]. These EEPs are posited as a means to fosterinnovativeness in students' chosen fields of employment upon graduation [3]. Moreover,engineering EEPs have advanced from business-oriented programs to more immersive, real-world-oriented approaches that aim to help students acquire entrepreneurship-related traits,skills, and mindsets [2]. Alongside existing EEPs
(DAQ) device that uses NI LabVIEW based software instruments, allowing students to measure and analyze real-world signals [1]. A DC motor control system can support many experiments, and therefore is explored and used in this experiment setup [4]. The complete experimental hardware setup is shown in Figure 1. The NI myDAQ connects to the PC equipped with LabVIEW software via a USB (Universal Serial Bus) cable and to the myDevBoard prototype board via the 20-position screw terminal connector [1]. The designated analog and/or digital physical channels of the myDAQ are wired to the motor interface and driver circuit which is hand-wired on the myDevBoard prototype board. The main components of this
educationalenvironments, particularly at Primarily White Institutions (PWI), are often seen as a White space as definedby Anderson, in which people of color are “typically absent, not expected, or marginalized when present”[1]. Individuals in the majority (white staff, faculty, and students) often view these spaces as well integratedor neutral, yet REM people (faculty and students of color) and women approach these spaces with cautionas they often experience discrimination or isolation. Makerspaces are an area within the engineeringeducational environment that are approached with caution amongst REM people (faculty and students ofcolor) and women students.Makerspaces provide students with rich out-of-classroom experiences that deepen technical knowledge[2]and
study whichhypothesizes that women and URM students who persist in engineering programs are morelikely to 1) enter with and acquire/develop various forms/levels of the social capital and 2)resolve conflicts between their CMES and the culture espoused by the program. The researchquestion we address in this paper is: Why do women and URM students switch from engineeringundergraduate majors to non-engineering majors?Theoretical FrameworksWe are guided by social capital and cultural model frameworks to gain an understanding of thesocial, cultural, and cognitive factors that impact the retention and degree attainment of womenand minorities in engineering. Supported by the highly disproportionate graduation rates of URMundergraduate and doctoral
STEMdisciplines. With less than 30% of STEM PhD’s entering the professoriate, we are intentionallyassuring that BD Scholars are also aware of the breath of opportunities that are available beyondthe professoriate.The goal of this preparing future minority Ph.D. researchers (PFMPR) BD Program is to preparea cohort of 12 LSAMP BD Fellows to persist in STEM Ph.D. programs at N. C. A&T. Threecore objectives include: (1) Enroll a cohort of 12 verified LSAMP scholars into STEM graduatedegree programs at N.C. A&T; (2) Implement a comprehensive program that prepares, retains,and enables BD Fellows to successfully undertake STEM doctoral programs; and (3) Providesupport to BD Fellows beyond BD funding in preparation for graduation and career. Thisprogram
andTolerancing (GD&T) in design and manufacturing helps to minimize the above issues byimproving manufacturing output, productivity, cross-departmental communication, partassembly, part interchangeability while reducing cost and shortening schedule time [1],[2].Although industry have been implementing GD&T for decades, lack of comprehensiveeducations in undergraduate engineering/technology curricula make the transition of graduatedengineers to industry a difficult period. It was suggested that GD&T should be taught for 60hours during two quarters or during one whole semester [3]. Literature survey indicates only fewinstitutions in the USA have engaged students with GD&T activities in undergraduate programswhile some programs even
universities and organizations and was developed with funding from the NationalScience Foundation.1 Raison d’ˆetreThe construction of machines and robots involves the utilization of one or more mechanisms totransmit or convert motions between interlinked parts. It is widely accepted that an inadequate se-lection and design of mechanisms in robots cannot be rectified by advanced electronics or computerprogramming. During his keynote address at the International Foundation of Robotics Research(IFRR) Colloquia in 2020, Prof. Shigeo Hiroshe spoke about the significance of mechanism de-sign in robotics and emphasized that it is the foundation of a robot. He further mentioned that evenif considerable efforts are devoted to other aspects, such as
Examining the impact of early cybersecurity education in the selection of cybersecurity as a career among high school senior and university freshmen students Sai Sushmitha Sudha , Sai Suma Sudha1, Ahmad Y Javaid1, Quamar Niyaz2, 1 and Xiaoli Yang3 1 The University of Toledo, Toledo, OH 43607, USA {saisushmitha.sudha, saisuma.sudha, ahmad.javaid}@utoledo.edu 2 Purdue University Northwest, Hammond IN 46323, USA qniyaz@pnw.edu 3 CS Department, Fairfield University, Fairfield, CT, United States
Harvard University. ©American Society for Engineering Education, 2023 Making a Case for HyFlex Learning in Design Engineering Classes Sourojit Ghosh and Sarah Coppola, University of Washington, SeattleIntroduction The onset of the still-ongoing Covid-19 pandemic resulted in a rapid switch to remotelearning, with passing months seeing the rise in popularity of HyFlex learning, a learning modelwhich supports synchronous in-person and remote class attendance [1], thus accommodatingstudents who want to attend class in-person while also providing attendance options for thosestudents who might otherwise miss class for health or personal reasons. However, over the pastyear or so, public perception of
presented to show that engineering students can develop practical ML skills for engineeringapplications.KeywordsMachine Learning, Education, Predictive Maintenance.IntroductionThe past decade has seen the introduction of the fourth industrial revolution, characterized by anexplosive connection of devices, information, and automated processes [1]. Machine learning(ML) stands at the forefront of Industry 4.0, thanks in part to advances in processing and datatransfer/storage speeds [2]. Huyen [3] summarized the growth of ML tools, showing anexponential increase from 2012 onwards (Figure 1). As end-user tools continue to lower thetechnical barrier for entry, more and more fields will find use in ML [2], [4]–[6]. Software suchas Edge Impulse equips its
aspirations and goals. Furthermore, the theory recognizes that social andenvironmental factors, such as family and cultural values, role models, and opportunities, impactcareer choices. The social cognitive career theory has broad implications for career counselingand development interventions. It highlights the importance of promoting self-efficacy beliefsand creating supportive environments for career exploration and decision-making.2.6 Time[1] investigated the factors that influence the development of students' calculus skills in CalculusI courses using a qualitative case study approach. They found that various factors affect thedevelopment of calculus skills, including instructor pedagogy, course structure, studentmotivation, and study habits