skills through START internshipIntroductionA shortage of 3.4 million skilled technical workers by 2022 (or 13% of the U.S. workforce ages25 and older) was predicted by the National Academies of Sciences, Engineering, and Medicine[1]. With the increasing demand for spatiotemporal computing skills in the real-world jobmarket, project-driven internships have become an important source of work experience forstudents with interests concerning geographic information systems (GIS) and related geospatialtechnologies [2]. However, while GIS internships offer benefits to college students, rarely do 2-year college students being trained in this field, even rare to see such internships being evaluated,especially during the
framework could help educators make better decisions on how to effectively integratethese new technologies within the curriculum to enhance and augment the learning ofengineering concepts for students.Introduction Extended Reality (XR) is an umbrella term for various types of electronically enabledrealities like Virtual Reality (VR), Augmented Reality (AR), and Mixed Reality (MR) [1].Extended reality (XR) devices and applications are being utilized to augment training andeducation within engineering and beyond. These include a broad spectrum of devices rangingfrom immersive virtual reality headsets with handheld controllers to augmented reality headsetswith finger tracking and smartphones with intelligent machine vision. Fig. 1 shows
at three U.S.institutions have collaborated as part of the National Science Foundation's InternationalExperience for Students (IRES) Site Track-1 project to develop a program to improve the globalcompetencies of undergraduate engineering students through a 6-week summer internationalresearch training program in collaboration with Universiti Teknologi PETRONAS (UTP),Malaysia focusing on applications of data science and artificial intelligence to solve energy andrelated infrastructure problems. This paper presents a case study of a collaborative IRES programfocusing on implementation challenges stemming from the pandemic and university policies andpractices. The COVID-19 pandemic has transformed/disrupted university and workplaceactivities
Ethics Reasoning Instrument (EERI), and concept map assessment to characterizewhere students “are at” when they come to college, the results of which can be found in past ASEEpublications. Additionally, we have developed a suite of ethics-driven classroom games that havebeen implemented and evaluated across three universities, engaging over 400 first-yearengineering students. Now in its third year, we are modifying and (re)designing two of the game-based ethics interventions to (1) more accurately align with the ethical dilemmas in the EERI, (2)allow for more flexibility in modality of how the games are distributed to faculty and students, and(3) provide more variety in terms of the contexts of ethical dilemmas as well as types of dilemmas.As
quantitative description of students’ community and belonging at IRE.1.1 Iron Range EngineeringIRE students complete lower-division coursework at community colleges around the nation [1]. Thenstudents join IRE for one semester on campus for preparation focused on developing students’professional, design, and technical skills. After this first semester, students earn their degree whileworking in a co-op and earning an engineering salary (average $21.5k per semester). Students remain fulltime students through the co-op based learning format by taking 1-credit hour technical competencies anddesign, seminar, and professionalism coursework, and earn course credit for coursework related to theirvaluable co-op experience by applying and further developing
would embed data science topics related to data retrieval, instrumentation, andapplications related to hardware equipment has not been developed yet, and emergingtechnologies have not watched the pace in the typical engineering technology curriculum that isfocusing on electronics and data acquisition.Data science has dramatically expanded with high demand in many industries, from energy,healthcare, finance, manufacturing, and many more 1 . As a result, there is a growing call for datascientists and engineers who can work with large amounts of data and extract meaningful insightsto support decision-making in all industries, and in particular in manufacturing and processingengineering applications. To meet this demand, the development of a data
practice. Leaders in industry and government began to recognize this in the 1980sand 1990s [1] [2], and major employers, spearheaded by Boeing, made concerted efforts duringthis time to pressure universities into better equipping engineering students with skills codifiedas most valuable for career-readiness [3].Tensions between industry needs and higher education came to a head in the mid-1990s when“American industry successfully lobbied the National Science Foundation to fund reform ofeducation” and influenced the Accreditation Board for Engineering and Technology (ABET) tooverhaul the basis for accreditation in 1996 with Engineering Criteria 2000 (EC2000) [4].Although EC2000 has been mostly successful in improving engineering education, the
of educationaltools for teaching computational thinking. The entire solution will be used in summer camptraining to teach programming skills to a young audience in Colombia. New projects havederived from the results, like the development of instructional guides for practices that use thesolution, and the development of enhanced versions that can reduce the costs of production andintroduce wireless communication.I. IntroductionIn “The Future of Jobs Report 2020” [1], the world economic forum (WEF) built a list of tenskills that will be most required in jobs by 2025, one of them being “technology design andprogramming”. Having technological skills is becoming crucial to find better job opportunities indifferent domains, but that poses a
expected withother variables in the dataset.IntroductionEngineering, along with other STEM fields, remains slow to design learning environments thatsupport minoritized students and their interests in or talents for STEM work. This troublesomediversity issue takes shape through participation barriers that filter out promising contributions tosolving some of society’s most complex problems [1]. Importantly, people from minoritizedbackgrounds broaden the variety of perspectives working on these pressing issues and the STEMworkforce benefits from their participation [2]. Newer lines of research are revealing how sexualorientation and different gender identities shape participation in STEM [3], adding to theimportance of understanding and counteracting
understandings of stress andparticipants’ decisions to depart. The results are transformative in gaining insight for themonitoring and understanding attrition in higher education.Introduction, Literature Review, and Theoretical FramingThe rate of attrition in engineering doctoral programs is substantial, with 44% of women and 36%of men leaving their Ph.D. programs, according to the Council of Graduate Schools [1]. Theattrition across disciplines and in the US has received attention due to heightened competitivenesswithin global higher education [2]. Several crises, including financial/economic crises, Covid-19,and systemic racism (the combination of Covid-19 and racism being called the ‘dual pandemic’[3]) together have decreased students’ certainty
elements (i.e., peers, instructor, and in-class instruction) were discussed in 55% of thereflections as positive “surroundings.” Within the classroom ecosystem, feelings about positiveCoI “surroundings” balanced 54% of respondents who discussed the physical room attributes asnon-supportive to learning. Interestingly, when students identified their CoI as a type ofsurrounding, they less-frequently identified physical attributes of the classroom as non-supportive.Thus, the presence of a Community of Inquiry may have diminished the perception or impact ofphysical room features. Overall, our results preliminarily suggest the positive influence that aninteractive flipped classroom structure can have on students’ perceptions of their “surroundings.”1
separating this course out is twofold: 1. To remove the computationalrequirements for Intro to Engineering Design so it is accessible to any student at the college, and2. To have students gain another transferrable skill early in their academic career.When designing the introductory courses for this program, we also considered the local K-12landscape, as we draw many students from these schools. Students can receive college credit forour Intro to Design class if they complete an introductory course through the Project Lead theWay high school curriculum and a capstone project at their high school. Based on expressedinterest by the high schools, we are offering a section of our first-year MatLab and CAD coursesin the evening in addition to the more
pursuing higher education, particularly in demanding STEM majors, is notsimple. Some young people in lower socio-economic status (SES) households have many morethings to consider than ‘am I qualified?’ Their decisions generally involve other family membersand home responsibilities [1] [2]. To work through these considerations and to prepare for anacademically demanding collegiate major, and then be denied admission into it at their local stateinstitution can be emotionally crushing [3] [4]. It is particularly upsetting when it is known thattraditional engineering admissions metrics discriminate against otherwise qualified students fromchallenged backgrounds [5] [6]. Researchers at Purdue University attempted to design analternative means of
question. The results suggest that nestedness is linearly proportional tousage, both increases and decreases. As such, tracking the nestedness of a makespace over timecan serve as a warning that unintended restrictions are in place, intentional restrictions and/orpolicies may be too severe, or whether a space has effectively recovered from temporaryrestrictions.Introduction and BackgroundEngineering makerspaces in academic settings are becoming significantly more common asresearch continues to hail their benefits for engineering education [1-4]. Network modeling ofthe spaces have successfully identified critical tools within the space, however the effects oflarge-scale events affecting usage over time has not yet been explored[4]. The importance
) Portal is used as the programming environment.This project focuses on the automation of an industrial manufacturing system through several toolssuch as PLC, TIA PORTAL (V16), and PROFIBUS. The control of the whole system isimplemented by using Siemens Sematic PLC. The main objective of this project is to create a fullyautomated production line for college education. The system consists of Buffering, Sorting,Assembly, Processing, Testing, Handling, and Storage to minimize the risk to workers’ health [1]and the occurrence of accidents and increase production efficiency.IntroductionIndustrial automation plays a crucial role in enabling the manufacturing industry to competeglobally in terms of productivity, cost, and demand-supply proportion [2
reactors and harvested for food and in this case biofuel for the structurethrough the fermentation of the biomass collected in a storage tank and fermented into hydrogenor methane fuel. Figure 1: Algae Bioreactor An algae bioreactor uses photosynthetic microorganisms to CO2 from the air andproduces biomass that can be then used as a renewable fuel source. The bioreactors come insystems such as open ponds, closed systems, or photobioreactors, these are generally operatedunder different conditions depending on the desired outcome.Microbial Fuel Cell MFC as they are referred to use bacteria to convert organic matter into electricity. Theywork to break down the organic matter and generate electrons
kitchen appliance), and the “design” ofthe students’ academic career pathways. The purpose of this paper is to present the progress onthe project supported by NSF award 2225247.The main objective of this project is to help freshman engineering students develop problem-solving skills that can be applied to their academic success. The college readiness, and hence theacademic success of incoming students at UTRGV College of Engineering and ComputerScience (CECS) needs to be improved. Statistics, shown in Table 1, indicate low levels ofretention and graduation rates particularly for CECS.Table 1. UTRGV College of Engineering and Computer Science First Year Full Time Freshman 1st Year Retention Rate
diverseengineering workforce that is adequately prepared with a range of skills required to solvecomplex, interdisciplinary, sociotechnical engineering problems. Questionnaire data from 314undergraduate engineering students at a small private university were used for psychometricanalysis. Exploratory factor analysis (EFA) revealed a six-factor structure. Three factors relate tostudents’ attitudes: (1) academic self-confidence and self-efficacy; (2) sense of belonging inengineering; and (3) attitudes toward persisting and succeeding in engineering. The other threefactors focus on: (4) students’ understanding of the broad nature of engineering; and how theyappreciate the importance of (5) non-technical and (6) technical skills in engineering
Higher Education.IntroductionThe NSF supported NYC Louis Stokes Alliance (NYC LSAMP) at CUNY has, since itsinception in November 1992, been at the forefront of a concentrated effort to substantiallyincrease the number of underrepresented minority students (African-Americans, Hispanics,Native Americans and Native Pacific Islanders), who pursue and graduate with BaccalaureateDegrees in Science, Technology, Engineering and Mathematics (STEM). Since inception inNovember 1992 (through 2018), over 18,000 baccalaureate degrees have been awarded tounderrepresented minority students in CUNY. The campus based NYC LSAMP ActivityCoordinators (ACs) served a critical role in the LSAMP from inception [1].At every participating campus of the NYC LSAMP, the AC
older than 25, a single parent, financiallyindependent from their parents, and/or working full-time [1]. The Department’s primarydemographic is non-traditional and Underrepresented Minority (URM). These individuals sufferfrom reduced retention rates and longer timeline to graduation [2, 3, 4, 5]. Non-traditional studentsoften use non-curricular work to finance their education. This employment is most often temporarynon-STEM jobs [6]. Working less than 15 hours per week can be beneficial to an educationalprogram [7]. Non-traditional students often work at least 20-40 hours per week. The same reportidentifies these longer work hours as a risk for academic success. Low-income students withsubstantial work hours that are not major related have an
arediscussed.1. Introduction1.1 Overview and Scope of the Interest in Engineering StudyResearchers in Engineering Education at J. B. Speed School of Engineering at the University ofLouisville (UofL) are in the preliminary stages of a multi-year study aimed at exploring theeffectiveness of a formal, makerspace-based course in increasing engineering retention amongfirst-year undergraduate, engineering students. Specifically, the study explores the impact of theinterest-in-engineering (IIE) construct on engineering student retention by examining howstudents’ experiences in a formal makerspace-based course can influence their interests in coursefeatures and engineering in general. The aforementioned makerspace course is titled EngineeringMethods, Tools
Engineering at San Diego State University (SDSU), where he directs the Safe WaTER Lab (safewater.sdsu.edu) and teaches courses on the introduction to environmental engineering, water and wastewater treatment systems, and microbiological processes of environmental engineering. ©American Society for Engineering Education, 2023Improving STEM and social science students’ research efficacy and career motivation through international transdisciplinary research experiences Bettina J. Casad1, Monica Palomo2, Erika Larkins3, Natalie Mladenov4, Matthew E. Verbyla4*1 Department of Psychological Sciences, University of Missouri, St. Louis, MO, USA2 Civil Engineering Department, California State Polytechnic
Experiences for Undergraduates (REU)program in a chemical engineering department at a large, Research 1 (R1) university. In additionto learning technical research skills through the REU program, REU administrators hoped topromote and assess a host of educational and psychosocial skills, including the interest andmotivation for participating in undergraduate research, the likelihood of attending graduateschool, engineering growth mindset, sense of belonging, and creative identity. To measure anypotential changes in participants in these areas from before to after participating in the REU,evaluators conducted both pre- and post-surveys and individual interviews with the participants.With the mentioned host of learning outcomes associated with
, Dr. Jośe Muñoz, and Lisa BerdieIntroduction The authors of this paper hosted a 2-day conference that brought a group of Latiné/x/a/ocontingent faculty from the California State University (CSU) system together to betterunderstand the barriers they face in their professional roles and responsibilities while alsoidentifying assets they bring to the classroom and institutions. Contingent faculty face mountingand compounding barriers that have devastating effects, not only on the faculty, but also thestudents they serve since a majority of contingent faculty are hired to teach first-generation,working class, and students of color [1]. This paper seeks to synthesize a follow-up to theconference in where five STEM deans within CSU system
harrowing for gender minority (GM, e.g.,transgender, gender nonbinary) students [1]–[8]. The STEM climate is important to address dueto its likely impact on the lower persistence of sexual and gender minority (SGM) students [9]–[12]. Professional STEM societies provide students with a range of resources that help thempersist in STEM [13]. Specific societies created to serve LGBTQIA+ STEM students, such asoSTEM, have been shown to help students manage their identities in STEM in the face ofunwelcoming STEM climates. At the same time, these societies may offer less professional andacademic resources and prioritize identity management [4], [14], [15]. Because the impacts ofprofessional society participation may be different for gender minority
students’ learning experience as well as their overall learning outcomes.Introduction and BackgroundProject-Based Learning (PBL) is a learner-centered pedagogical approach used to engagestudents in authentic projects [1]. In PBL, students work collaboratively or individually toaccomplish the project tasks that require content knowledge and skills and produce a product toshow their knowledge of the content [2]. The assignments in PBL require students to acquire andapply information, concepts, and principles and they have the potential to improve students’competence in thinking (learning and metacognition) [3]. Moreover, working on real-worldprojects helps students realize the impact of those projects, which in turn, gives them a sense ofagency and
mentors, and their motivations and/or persistence. The first part of her career was spent designing residential split system HVAC equipment and Indoor Air Quality (IAQ) unitsfor Trane in Tyler, TX. Kristin has taught about design, engineering, and manufacturing to students of all ages in various places including to preschoolers via Schaefer Engineering’s STEM outreach, to senior mechanical engineering undergraduates at TAMU, to eighth graders in KatyISD at Beckendorff Junior High, and to freshmen mixed major undergraduates at UH. Kristin is also the mom of one smart teenage boy whose journey through learning differences and Type 1 Diabetes (T1D) has enabled her to connect with and support students with a broad spectrum
. Overall, this research and case study contribute to the attention needed toaddress equity, inclusion, and representation challenges of black women in CS by highlightingissues faced when trying to develop and establish themselves in the field.1. IntroductionThe field of computer science (CS) has grown rapidly in recent years. Despite this progress,disparities in the industry persist, particularly for individuals from underrepresented groups. Forinstance, black women, who pursue CS as a career choice, experience significantunderrepresentation in the field. This underrepresentation is also reflected in the percentages ofblack women who are awarded Bachelor’s, Master’s, or their Doctorate in CS and related fields[12]. By examining challenges faced by
Career Theory StudyAbstractThe present paper assessed the attributes that could influence career decisions amongundergraduate engineering students in Singapore. The social cognitive career theory (SCCT)was employed as the theoretical guideline for the investigation. This paper was directed bythree main research questions: (1) How do self-efficacy (SE), outcome expectation (OE),social support (SS), barriers (BR), and interests (IN) affect career decisions amongengineering students? (2) How do SS, OE, SS, BR, IN, and career goals (CG) correlate? (3)Are there any differences in the psychological factors between freshmen and seniorundergraduate students? 27 participants were recruited from an internationally recognizedresearch institution in
average in both overall pass rate and most topic areas.1. IntroductionAlmost all of the world's most pressing problems would benefit from Science, Technology,Engineering, and Mathematics (STEM)-based solutions [1]. Fourteen of the sixteen fastest-growing "industries of the future" are STEM industries, and all of the top twenty-five degrees bypay and demand are in STEM subjects. By 2025, 3.5 million STEM jobs will be open in theUnited States alone. To deliver efficient and effective STEM education to most students ischallenging due to the many dimensions involved in the teaching and learning processes. One ofthem is that GenZ students always have access to modern technology such as the internet,computers, and smartphones, which could have a strong