. IntroductionEngineering curriculum frequently focuses on technical, analytical, and decision makingknowledge and skills, evident by the common focus of courses on math and physics principles[1]–[3]. Course problem sets and projects routinely focus on determining variables and solvingequations where there is one “right” answer [4]. However, engineering work is inherently bothtechnical and social [5], [6]. To address major problems of today’s world, engineering studentsneed to develop contextual and cultural competencies, ethical responsibility, and socialengagement knowledge and skills, as well as the ability to work across disciplinary boundaries[7]–[10]. Engagement in these skills, which we collectively call “comprehensive engineeringknowledge and skills”, are
Paper ID #40028Engineering Global Competencies through Study AbroadDr. Patrick Tunno, Pennsylvania State University Patrick Tunno is the inaugural Director of Penn State’s Center for Global Engineering Engagement and an Associate Teaching Professor. He has overseen and continues to lead the development and expansion of diverse international initiatives. Under his leadership, the college has established an award-winning Global Engineering Fellows Program, launched Penn State’s first 3+1+1 program for international stu- dents to pursue a one-year master’s degree, and initiated new interdisciplinary faculty-led study abroad
howindividuals experience disability. This paper will present a disability justice-informedperspective in hopes of allowing librarians who work with disabled STEM student to gain a morenuanced understanding of ableism and the many barriers disabled people encounter in STEMfields as well as more broadly in higher education. IntroductionIn recent years, there has been a significant and much needed focus on diversity, equity, andinclusion (DEI) in academia. Although some progress has been made regarding DEI policies,programs, and awareness [1], [2], critics have pointed out there is still much to be done, notingthat many students and scholars continue to regularly experience oppression and discriminationon
support for implementing these ideas into the classroom.Incentives Extra credit in academic settings is a hot topic depending on what side of the institutionyou reside. For instructors, it can be hotly debated on the practical use for increasing learningwhile others will debate the grade inflation aspect [1, p. 27]. As for students, a much moreoptimistic view of the concept is more widely accepted since extra credit works in the benefit ofthose partaking. In the existing literature, there is no universal positive or negative opinion onextra credit in the classroom as the practice is mostly left up to the individual instructor. Whetherthe practice remains in a contested environment or not, the use of extra credit can have positiveimpacts in
expectancy. We analyze the data of 600 engineering students enrolled in a CS1 courseand find that gender and PPE are statistically significant factors that influence students’ learningself-efficacy. We also find that learning self-efficacy and GPA are statistically significant predictorsof outcome expectancy. We believe these results will help advance our understanding of engineer-ing students’ motivational beliefs and help instructors identify specific groups of students that mayneed additional support and assistance.1 IntroductionAs the importance of acquiring computational skills increases, there is a growing emphasis onadding more programming and data analysis courses in the undergraduate curriculum, especiallyfor engineering majors [1
formalizing extensive pre-trip activities prior to research abroad improved participant outcomes. The findings support the conclusion that exposing undergraduate and graduate students to the challenges of an international research environment has impacts that carry on to the future workplace. Index Terms International programs, Intercultural competence, Research evaluation criteria I. I NTRODUCTION Engineering challenges and problems are increasingly global in nature necessitating an international effort to address variedissues pertaining to sustainability, health, and security [1]. This globalization of
mainly involved in identifying the research questions for the projectsand making decisions about how the results of the research-focused projects will beimplemented. This paper presents a replication of a model focused on university-communitycollaboration, student engagement and Science, Technology, Engineering, and Math (STEM)attraction and retention using three research-focused projects addressing community needs. Thethree projects are (1) empathic design project aimed at improving quality greenspaces andpedestrian streetscape experience, (2) food justice project to study the disparities in food accessbetween local regions, and (3) analyzing water quality in a local creek. The projects provided aunique opportunity for students to directly
academicresources and maximizing opportunities in their college environment have a relationship withstudents’ academic achievement and the progress they make with their learning [1]–[3].Satisfaction with college outcomes has also been found to have a relationship with studentengagement in academic activities [4]. Active classroom learning strategies have facilitatedstudents’ involvement in course learning. Such pedagogical strategies that have improvedstudents’ engagement with course learning and academic achievement in engineering classroomsinclude project-based learning, problem-based learning, flipped classroom, cooperative learning,questions, and discussions [5], [6].Furthermore, it has been found that motivation has the strongest relationship with
and executing these pillars, the CIRCUIT program is a model for accomplishing na-tionally recognized goals of increasing diversity in STEM — in both recruitment and retention.Supporting trailblazing students increases the quantity and quality of the STEM workforce overallas students have the confidence to apply for relevant positions and the technical credentials to ex-cel. In this work, we share our model and longitudinal student outcomes developed over the pastsix program cycles.IntroductionProgram OverviewOur program originated in 2017 as part of a computational neuroscience project 1 to satisfy the mis-sion need for talented, engaged proofreaders at a scale not possible with conventional approaches 2 .Since then, we have expanded this
(PBL) of aerospace and aviationdesigns, specifically focusing on UAS integration. The validation of peer-to-peer interaction as aperformance measure has led to the development of a framework to enhance flight operation.The four KPIs for measuring the overall effectiveness of the project solution are based on theuser guide for rotorcraft systems and include:: • Indicator 1: Investigation of key performance measures and the flight analysis data related to the ability to create an interactive model according to the user’s decision- making approach; • Indicator 2: Interpretability of the system design requirements and the UAS integration to performance the necessary input to execute in various conditions and limitations; • Indicator 3
learning. AI is proving to be an effective tool for educators teaching anywhere from K-12 [1] or in sec-ondary education [2] to enhance teaching and provide students with personalized learning experi-ences. State-of-the-art AI technologies have been able to analyze vast amounts of data to identifypatterns, adapt to student needs, and provide real-time feedback with little up-front implementa-tion costs. As such, it has been shown that this tailored instruction and support to each studentcan improve their learning outcomes [3], [4]. Moreover, AI has been used to automate routinetasks such as grading, assessment, and administrative duties, freeing up educators’ time to focuson higher-level tasks. In this way, AI has been the catalyst in a
, anexperiment was performed where people viewed three Navy job descriptions in their respectiveSTEM fields and were asked their level of interest. This paper will show that women who do nothave a background in the jargon are less likely to apply on jargon-filled, STEM job descriptionsthan men. Conversely, when women have a background with the jargon, this paper will showthat these women have a higher interest in the jargon-filled job advertisements than men do.KeywordsDiversity, Jargon, STEM, Job Advertisements, Gender.IntroductionResearch has shown that science, technology, engineering, and mathematics (STEM) careers aremale dominated [1]. Among first-year college students, women are much less likely than men tosay that they intend to major in STEM
coined by Anthony Klotz, who is an Associate Professor ofManagement at the May Business School at Texas A&M University [1].Wikipedia defines it asthe “ongoing economic trend in which employees have voluntarily resigned en masse, beginningin early 2021. Possible causes include wage stagnation amid rising cost of living, long-lasting jobdissatisfaction, safety concerns of the COVID-19 pandemic, and the desire to work forcompanies with better remote-working policies” [2]. Dictionary.com defines it as the “informalname for the widespread trend of a significant number of workers leaving their jobs during theCOVID-19 pandemic” [3]. Investopedia.com defines it as the “elevated rate at which U.S.workers have quit their jobs starting in the spring of
- neering. His research interests include complex systems, cyber-physical systems, and system dynamics. ©American Society for Engineering Education, 2023 University Coursework as an Alternative to a Professional Certification ExamAbstractThe International Council on Systems Engineering (INCOSE) offers three levels of individualcredentialing, two of which require participants to pass a standardized test, as shown in Figure 1.While the standardized test is an efficient way to test participants' knowledge of systemsengineering, the newly introduced INCOSE's Academic Equivalency (AcEq) Program providesan alternate path to becoming certified systems engineer. AcEq allows participants
. His research includes undergraduate engineering education with focus on engineering design, problem-based learning, co-curricular involvement and its impact on professional formation, and the role of reflection practices in supporting engineering undergraduates as they transition from student to professional. ©American Society for Engineering Education, 2023 Using the CAP model to Equitably Redesign a First-Year Engineering SeminarIntroductionThe student body in higher education keeps changing, making it critical to pay attention to newgenerations' challenges toward achieving their academic goals [1]. Generation Z students are the core ofthe current student population at colleges and
research workforce, but not inengineering. According to national statistics, only 32% of undergraduate students in STEMdisciplines are female and this percentage is decreasing as women dropout from STEM asthey move forward in their education. The analysis of the interviews revealed the mainbarriers, challenges, and issues influencing females and ranked their importance. A keyoutcome of the study is the importance of support, mainly from family and teachers, as it hasthe biggest impact on building confidence and retaining female engineers in their careers.Keywords: Transitional economy, STEM Education, Gender Gap, Female Engineers,Kazakhstan.1. IntroductionThe study of science, technology, engineering, and mathematics (STEM) fields can be
technology and technology workplaces. ©American Society for Engineering Education, 2023 Interplay of gender and nationality in the early careers of Finnish engineering doctoral graduatesIntroductionThe effect of gender on engineering careers has been an interest of researchers for a longtime, yet there seems to be a shortage of studies revealing the way gender interplays withother categories [1]. Most of the recent intersectional research on engineering seems to focuson the interplay of gender and race [2], [3], [4], but also the intersection of gender with thesocioeconomic situation [5], [6], sexual orientation [7], family situation [8], [9], and age [10]has been investigated. Much of the
. It allows for planningand providing the appropriate remedial services that students need in a timely manner. It requiresthe ability to predict student performance several times throughout courses. Many predictivemodels have been proposed and used to varying degrees of success to make such predictions.Some of these models are at the exam level, some at course level and some at the degree level.These models require the use of data sets that typically come from multiple sources such asstudent information systems (SIS's) and pre-college information, to name a few.This study builds upon the work done by a previous paper which focused on a few ComputerScience (CS) courses taught by three instructors [1]. The present paper applies and expands
questions will be randomized. Demographic information of students willbe collected without identifying information. Conclusions will be made on the impact ofterminology on student success. This paper is a work-in-progress, and more data is needed tomake the conclusions statistically significant.IntroductionHigher education institutions in Minnesota are putting substantial energy and effort into makingevery classroom diverse [1]. To provide equal opportunity to success in engineering classes forevery member of the classroom, a substantial effort should also go to making higher educationready for the diverse student bodies. Effective communication (both oral and written) plays a keyrole in the success of students, especially in the early years of
-University Relationships in Environmental Engineering Service-Learning Courses: Social Network Vectors and Modalities of CommunicationIntroduction This work offers an initial and essential exploration of the ways in which universities andcommunities become connected in service-learning programs. Since numerous studies havefound that service learning offers an array of benefits to undergraduate students [1], [2], it isequally important to consider perspectives of the partnering communities. Specifically, in somecontexts, university-community partnerships, both generally and service-learning programs inparticular, are exploitative due to the power imbalance caused by the “concentration of powerand knowledge” of universities [3]. In this
research experience and benefit for community membersaddressing their water quality concerns.BackgroundCommunity-university-partnershipsCommunity-university partnerships are collaborations between communities and universities toachieve shared goals through community-engaged scholarship [1] [2, pp. 463–469]. Key tenantsof community-university partnerships and community-based research involve genuinereciprocity, mutual benefit for communities and participating students [1], building connectionswithin and between organizations [3, Vol. 4], generation of knowledge to meet a communityidentified need, involving the community throughout, from problem definition to resultsdissemination [4, pp. 412–428] and funding [3, Vol. 4].Community-university
Engineering Education (ASEE) [1]. World War II curtailed the activities of bothgroups. After the war, however, the engineering librarian communities in ACRL and ASEE grewquickly, offering new opportunities for professional development, networking, informationsharing, research, and advocacy.This paper seeks a deeper understanding of the academic engineering librarian community in the1940s and early 1950s through the analysis of data compiled from the Directory of CollegeEngineering Library Personnel [2], published in 1949 by the Engineering School LibrariesSection of ACRL and supplemented by data from other sources such as Who’s Who in LibraryService [3]. The Directory is a rich source of data that includes details such as position titles,degrees
), a review ofbranch specific websites (e.g. search for “Navy education benefits”) for education benefitsrevealed the most common and longstanding programs that are highlighted in this paper.History / BackgroundSince its inception in 2009, the Post-9/11 GI Bill has been a transformative investment of morethan $53 billion to support the post-secondary education of more than 1.4 million servicemembers, veterans, and their families [1]. Prior to World War 1, there was little to none in theprovision for veterans’ participation in higher education. It seems the only compensation was inthe form of pensions for some disabled veterans following the Revolutionary War. Thiscompensation continued into the next century through the Civil War [2]. However
activities. In this paper, we describe the structure of these programs and associatedmetrics. Early results indicate very high interest by students and employers, high retention ratesin cybersecurity careers, and gains in participation by underrepresented groups. 1. IntroductionThe cybersecurity workforce gap is large, with an estimated 1.1 million employed workers and770 thousand job openings across the country. From the employers’ perspective, the curriculumin some cybersecurity degrees should be more closely aligned with requirements of the jobmarket, enabling new employees to be productive from day one. Meanwhile, new graduatessometimes express frustration with the expectations of job descriptions for entry-level positions,which often include
majors. Historically, 2nd-year retention in LSU CoE majorshas been 67 percent and for BEE students this is now 77 percent.1. BackgroundSince 1991, the Louisiana State University Summer Scholars Program has been providingincoming, under-represented first-year students with a residential program to transition to collegeacademics and life. The Summer Scholars program is for students the summer before theirfreshmen year, and it provides participants the opportunity to take academic courses for credit,develop leadership skills, and build social and cultural connections. The structured environmentincluded scheduled homework sessions, tutoring sessions, academic counseling, and groupactivities [1]. Faced with the suspension of all in-person programs
(PMP) certifications for Construction Management (CM) students. The goal isto address the challenges faced by the students, adult learners and working professionals for continuousprofessional development.Automation, Robotics and Manufacturing - ECET and MET CertificationThe technology is evolving rapidly, and smart manufacturing systems are being integrated, automated,and widely utilized in the industry [1]. In modern manufacturing facility, industrial robots are used formaterial handling, painting, assembly etc. The goal of such certifications in field of automation andmanufacturing is to address the skill gap and meet the needs of future automation and manufacturing workwithin the next 10 years [2]. The US automation and manufacturing
professional identity with the student and helping them in ways that didnot violate the ethical principles of engineering and teaching. The results of this interaction werethat the student made it successfully through the semester and is finishing their program in goodstanding. The final takeaways from this experience are the use of empathic mentoring, being thechange that one wishes to be in engineering education, and taking extreme ownership of one’smentoring role to develop and guide their mentees.IntroductionEngineering as a discipline has had a reputation for having a difficult curriculum where manystudents do not succeed [1]–[7]. The most recent numbers regarding engineering retention ratesfor United States universities show that approximately
such as mechanical andcivil engineering [1]. The tools of the engineer in students’ minds are often closer to a hammer ora wrench rather than a test tube or beaker, and thus their conception of engineering is oftenlimited at best [1]. This can get further complicated by the lack of interdisciplinarity exemplifiedin the engineering classroom. When engineering instruction is scaled at the university level, thereis the potential to lose interdisciplinarity as well as too much emphasis on limited topics relevantto the field of engineering [2]. When this happens, the curriculum may revert to limiting thecurriculum to the most popular images of engineering, fields such as mechanical, civil, andcomputer engineering [1].The goal of this work is to
belonging; women in constructionIntroductionLatest figures from the National Employment Survey conducted by the Chilean NationalStatistics Institute [1] show that female participation in the labor market in the quarter fromNovember 2021 to January 2022 was 48.3%. This contrasts with particular economic sectors thathave been traditionally male-dominated, such as construction, in which female participation in2021 was a mere 9.6%. Other parts of the world report similar statistics, for example, womenaccount for just 9.9% of the construction labor force in the United States [2]. Similarly, Regis etal. [3] state that this figure exceeds no more than 10% in Brazil. A salient fact is that women'sparticipation in the labor force is at office and sales
US Department of Veteran Affairs estimates that over 1 million veterans and familymembers have used these benefits to attend college.Student veterans continue to face myths, stereotypes, and bias on campus and in employmentdespite their growing presence on college campuses and the value they contribute to theclassroom and their post-graduation employers. Myths about student veterans are persistentamong the public and while not intentionally malicious, can impact student veteran learningoutcomes and transition experiences [1].The research reported in this paper investigates stereotypes of student veterans by using acounter-balanced survey with two populations: student veterans and non-veteran student peers.Questions from this survey sought