Engineering and Computing (SPECTRA) program is an NSFScholarship in STEM (S-STEM)(Award # 1834081) based out of Clemson University in SouthCarolina. The SPECTRA program focuses on aiding transfer students interested in anEngineering or Computing degree by offering scholarships, opportunity to form cohorts, andaccess to professional skill-building programs. The goals of SPECTRA are as follows: (1) to provide scholarship opportunities to low-income students who wish to pursue engineering or computing at Clemson (2) to build cohorts of transfer students to support their transition into Clemson while also allowing for the Advisors for Cohorted Engineers (ACE) Fellows program to aid in the
participation in engineering, teaching technology innovations, and engineering entrepreneurship, as well as EEE discipline-based topics such as energy-water-environment nexus and sustainable biomanufacturing. Previously, Dr. Zhang was a Teaching Assistant Professor of Engineering at West Virginia University and has successfully led and expanded their summer bridge program for incoming first-year engineering students called Academy of Engineering Success (AcES). ©American Society for Engineering Education, 2024 Institutionalization Challenges for an NSF S-STEM ProgramAbstractBased on the experience of an R1, public, land-grant institution, this complete evidence-basedpractice paper employs a
include modeling, robust control, decentralized control, fault diagnosis, renewable energies, and machine learning.Alex BlinderDr. Mohsen Azizi, New Jersey Institute of Technology Mohsen Azizi is an assistant professor in the School of Applied Engineering and Technology at New Jersey Institute of Technology (NJIT). He received the M.Sc. and Ph.D. degrees in electrical and computer engineering from Concordia University, Montreal, Canada, in 2005 and 2010, respectively. From 2010 to 2013, he was an R&D engineer at Aviya Tech Inc. and Pratt & Whitney Canada Inc., Longueuil, Canada, where he designed and developed control and fault diagnosis systems for jet engines. His research has been focused on decentralized
Destructive Testing NDT of Bridges. Mahmoud Al-Quzwini, Ph.D. Mahmoud Al-Quzwini is a senior lecturer with the department of Electrical and Computer engineering at Stevens Institute of Technology. He received his Ph.D. in Communications Engineering (2008) and, M.Sc. (1998) & B.Sc. (1995) degrees in Electronic and Communications Engineering from Al-Nahrain University, Iraq. He was a postdoctoral fellow at Florida State University in 2010. His current research interests include embedded systems and engineering education. ©American Society for Engineering Education, 2024 Introducing Spectral Analysis to Undergraduate Engineering Students Najjiya Almallah1 and Mahmoud Al
understanding of the components, that is, each organization’s culture andpriorities, and how – or if – they align for the success of the collaborative [4]. When cultures andpriorities are taken for granted, ambiguous, or interpreted differently by individuals acrossorganizations, misunderstandings or differential experiences can lead to issues arising in MTS.This is further compounded by individual team member’s experiences within the sameorganization [5].Project BackgroundWe created a multisector MTS to develop and implement a project funded by the NationalScience Foundation’s (NSF’s) Scholarships in Science, Technology, Engineering andMathematics (S-STEM) program titled “Improving Access to Career and EducationalDevelopment (I-ACED) for Talented, Low
Third World Poverty in First-YearEngineering Capstone Projects: Initial Findings,” 2010 American Society for EngineeringEducation Annual Conference and Exhibition, paper AC 2010-197.15. G.P. Halada, “Integrating Humanitarian Values into First Year Engineering Coursework,”proceedings of the 2021 American Society for Engineering Education, paper 35336.16. C. Mitcham and D. Muñoz, Humanitarian Engineering (San Rafael, CA: Morgan &Claypool, 2010).17. K.M. Passino, Humanitarian Engineering: Advancing Technology for SustainableDevelopment, 3rd ed. (Columbus, OH: Bede Publishing, 2016); https://ece.osu.edu/humanitarian-engineering-book.18. C.L. Dym, A.M. Agogino, O. Eris, D.D. Frey, and L.J. Leifer, “Engineering Design Thinking,Teaching, and
, 2019[7] Yehudit, J. D., Belcher, J. Learning electromagnetism with visualizations and activelearning - Center for Educational Computing Initiatives, Massachusetts Institute ofTechnologyhttp://web.mit.edu/jbelcher/www/TEALref/Chapter8_Dori_Belcher_FINAL_8_12_2004.pdf- [Accessed Nov. 29, 2019].[8] Goodhew,p. Teaching Engineering - All you need to know about engineering educationbut were afraid to ask. The Higher Education Academy UK Centre for Materials Education,September 2010[9] Dori, Y. J.; Belcher, J.; Learning Electromagnetism with Visualizations and ActiveLearning. Visualization in Science Education. Models and Modeling in Science Education.Volume 1, 2005, pp 187-216[10] Du.X; De Graaff,E.; Kolmos, A. Research on PBL Practice in
, Beijing, China, in 2006 and his M.S. and Ph.D. in electrical and computer engineering from the Ohio State University, Columbus, OH, in 2007 and 2010, respectively. He worked as an analog IC designer at Texas Instruments, Dallas, between 2011 and 2012. He was a Member of Technical Staff, IC Design at Maxim Integrated, San Diego, CA, between 2012 and 2016, and a Staff Engineer at Qualcomm, Tempe, AZ, between 2016 and 2019. In 2019, he joined the School of Electrical and Computer Engineering at Oklahoma State University, where he is currently an assistant professor and Jack H. Graham Endowed Fellow of Engineering. His research interests include power management IC design, hardware security, and energy-efficient
. “Theliteral meaning of ‘skew’ is a bias, dragging, or distortion towards some particular value, group,subject, or direction” (Shanmugam & Chattamvelli, 2015, p. 89). If a sample is skewed to theleft, the responses cluster on the higher side, with the median higher than the mean; if a sample isskewed to the right, the responses cluster on the lower side, with the median lower than the mean(Ott & Longnecker, 2010). Skew values of zero indicate symmetric distributions, positive skewvalues indicate distribution tails that point to the right, and negative skew values indicatedistribution tails that point to the left (Minitab, 2023). On the other hand, “kurtosis measures therelative concentration or amassment of probability mass toward the center
this mini-unit’s essential question. The suggested prompt is as follows: It’s a hot summer day and the AC is out at your place (or you don’t have one). What are some things you can do to cool down the room you’re in? List both the actions you can take and try to describe how things in the room change as a result of your actions.After giving students time to recall, brainstorm, and jot down responses on their own, theeducator invites students to share their answers aloud, initiating a whole-group discussion. Theeducator (or a designated student scribe, if the classroom management structure provides forsuch a role) visibly records key details of student answers for all to see. One method tographically organize student
of interventions that continue this Freshman Year experience with Sophomore,Junior, and Senior Year Innovator Experiences, with an increasing portfolio of skills each year.AcknowledgementsThe authors express their gratitude to the participating instructors: Sandra Morrow, Erika Perez,and Michelle Alvarado, as well as the students involved in this project. Funding for this projectwas provided by NSF award 2225247.References[1] Brown, S. V. (1994) Under-represented minority women in science and engineering education. Princeton, NJ: Educational Testing Service, 1994.[2] A.A. Fuentes, S. Crown, R. Freeman, Human Bone Solid Mechanics Challenge Functionally Graded Material Structure with Complex Geometry Loading, AC 2001-2056, ASEE 2008
Research: Reducing Global Carbon Emissions.Washington, DC: The National Academies Press, 2016.[3] G. DeLeonardo, “2019 Turbo Expo Presentation.” 2019.[4] “U.S. Energy-Related Carbon Dioxide Emissions, 2019,” 2020.[5] B. E. Logan, R. Rossi, G. Baek, L. Shi, J. O’Connor, and W. Peng, “Energy use for electricity generationrequires an assessment more directly relevant to climate change,” ACS Energy Lett., vol. 5, no. 11, pp.3514–3517, 2020.[6] M. Borrego, D. B. Knight, K. Gibbs, and E. Crede, “Pursuing graduate study: Factors underlyingundergraduate engineering students’ decisions,” J. Eng. Educ., vol. 107, no. 1, pp. 140–163, 2018.[7] E. Crede and M. J. Borrego, “Undergraduate engineering student perceptions of graduate school andthe decision to
, “On Change III: Taking Charge of Change: APrimer for Colleges and Universities,” An Occasional Paper Series of the ACE Project onLeadership and Institutional Transformation, American Council on Education Publications,1999, https://eric.ed.gov/?id=ED450621[4] M. Borrego, J.E. Froyd, and T.S. Hall, “Diffusion of engineering education innovations: asurvey of awareness and adoption rates in U.S. engineering departments,” Journal ofEngineering Education, 99(3), 185-207, 2010.[5] C. Henderson, A. Beach, and N. Finkelstein, “Facilitating change in undergraduate STEMinstructional practices: An analytic review of the literature,” Journal of Research in ScienceTeaching, 48(8), 952-984, 2011.[6] J.M. Williams, E. Andrijcic, S. Mohan, C. Margherio, E
new skills and connections, they must beutilized in conjunction with, or integrated, within existing coursework or domain expertise (Burrows etal. 2016). Other prominent researchers agree that teaching advanced content (e.g., programming, automa-tion, circuit design) as an elitist endeavor, instead of as a skill or an experience, is not in K-12 students’best interest (Sengupta et al. 2018; Wilensky and Papert 2010).There are many examples of K-16 students utilizing technology within computer science (Basu et al. 2013;Berland and Reiser 2011; Sengupta et al. 2015; Svihla and Linn 2012; Vattam et al. 2011). These prior com-puter science projects and researcher outcomes enables the continued exploration of computing in K-12settings by using
Educational Fair and the St Louis Science Center. These innovative educational modules developed have received nation-wide attention of general public. His recognitions also include the ASME Chao and Trigger Young Manufacturing Engineer Award (2013); the ICO prize from the International Commission of Optics (2011); an invited participant of the Frontiers of Engineering Conference by National Academies in 2010; the NSF CAREER Award (2009) and MIT Technology Review Magazine’s 35 Young Innovators Award (2008).Dr. John Liu, Massachusetts Institute of Technology Dr. John Liu is the Principal Investigator of the MIT Learning Engineering and Practice (LEAP) Group, which applies design principles to solving challenges to better
exchangestudents participated in the project efforts. Their contributions are acknowledged with thanks.Maryland Space Grant Consortium and the NASA MSTAR program have funded the synergisticAIRSPACES and DREAM project at UMES. Their support is gratefully acknowledged.Bibliography 1. Summer Exchange Internship Program Presentations ( July 31, 2023) https://md.spacegrant.org/2023-student-research-symposium/ 2. Nagchaudhuri, A., Teays, T., Chen, G., Bowden, M., Henry, R.C., Paper # AC 2010-1761: “Broadening Student Research Experiences through Summer Exchange Program Across Campuses”, Proceedings 2010 Annual Conference of American Society for Engineering Education, Louisville, Kentucky, June 20-23, 2010. 3. Nagchaudhuri, A., Zhang, L
as fundamentally central to the problem-solving work of engineers (Matusovichet al., 2012; Poe et al., 2010; Wolfe, 2009). Second, when communication skills are disjointed fromtechnical content, there is often a void of context-specific communication discourse (Paretti et al.,2014), such as training mining engineering students to effectively communicate geotechnical riskswith the public (e.g., Conrad, 2009; Hadjigeorgiou, 2020; Noppé, 2014; Stewart & Lewis, 2017).In addition to these documented limitations of stand-alone technical communication courses, at leastthree major influences have contributed to an overall shift in engineering education towardembedding communication skills into core engineering curriculum. First, the ABET
justice issues in New York City. His 2010 Ph.D. from Arizona State University was the nation’s first in sustainability. His research, which has been widely published, focuses on renewable energy systems and sustainable building strategies to reduce the negative impacts of urbanization.Gabrielle Grace Hershey, Illinois State UniversityDaniel Patrick Gibson ©American Society for Engineering Education, 2024Utilizing the Solar District Cup Competition as a Case Study for a Renewable Energy Capstoneto Enhance Students' Learning ExperienceA team of faculty and students at Illinois State University participated in the U.S. Department ofEnergy (USDOE) Solar District Cup Competition as part of their renewable energy
the World Bank (2019) [1], the number of people without access to electricity suppliesdecreased from 1.2 billion in 2010 to 759 million in 2019. Electrification through decentralized solutionsbased on renewable Energy gained momentum. According to the same report, the number of peopleconnected to isolated mini electrical grids (called microgrids) doubled between 2010 and 2019, goingfrom 5 to 11 million people. However, there is still much to do. Through her presentation in TED talks,engineer Rose Mutiso (2019) [2] presents the problem and describes alternative solutions with theintroduction of sustainable electricity production (wind and solar) in the same communities.In Mexico, according to Energía Hoy (Servin, 2021) [3], there are more than
: Example EWB-USA student chapter projects. EWB-USA Gateway Professional Members of student and industry partnered to complete a Chapter partnered with EWB-USA construction project that diverts water under a roadway Southern Illinois University though a culvert system and built a bridge over a ravine Project Location: Pimienta, for both vehicles and pedestrians. Honduras EWB-USA University of Pittsburgh Students made three trips to the community to assess Student Chapter community needs before building the farm in planning Project Location: Makili, Mali and constructing a fish farm 2010. The farm has been a success, adding an additional source of protein to local
the Institute of Networked Autonomous Systems at the University of Florida, Gainesville where he focused on the research and development of small, autonomous aerial and underwater vehicles, sensors and actuators. He received a BS and MS degree from the Aerospace Engineering Sciences department at CU Boulder in 2010 and 2011 respectively.Nathan Eric Whittenburg, University of Colorado Boulder Nathan Whittenburg is currently pursuing a degree in Aerospace Engineering with a minor in Computer Science at the University of Colorado Boulder. He serves as a Lab Assistant in the Aerospace department, where his responsibilities include employing Large Language Models and Natural Language Processing to enhance educational
AnnualConference & Exposition, Baltimore , Maryland. https://peer.asee.org/42457[3] Andrade, N., & Smela, E., & Nguyen, V., & Bigio, D., & Egyen-Davis, A., & Nganjo,D. (2022, August), Environmentally and Socially Responsible Engineering - AssessingStudent Empowerment Paper presented at 2022 ASEE Annual Conference &Exposition, Minneapolis, MN. https://peer.asee.org/41569[4] S. Hoffmann, I. Hua, E. Blatchley, and L. Nies, "Integrating sustainability into coursesacross the engineering curriculum: a faculty workshop model," in ASEE Ann. Conf.Expo, Louisville, KY, Jun 20-23 2010, pp. AC 2010-1802, 15.773.1, doi:DOI:10.18260/1-2--16732. https://peer.asee.org/16732[5] A. L. Welker, V. Smith, S. Shrestha, and K. M. Sample-Lord
institution’s goal of reaching R1 status (Ford, 2023; Weissman, 2023).The Carnegie Classification® is the leading framework for recognizing and describinginstitutional diversity in U.S. higher education. The Carnegie Commission on Higher Educationdeveloped the system in 1973 to support its research and policy analysis program. Derived fromempirical data on colleges and universities, the Carnegie Classification® was updated in 1976,1987, 1994, 2000, 2005, 2010, 2015, 2018, and 2021 to reflect changes among colleges anduniversities. The system includes any institution of higher education that conferred at least onedegree during 2019-20, as reported through the National Center for Education Statistics (NCES)Integrated Postsecondary Education Data System
model:(ASA) Self-awareness: The degree to which the instructor has an understanding of self, in thecontext of what they bring to the classroom.(AE) Empathy: The degree to which the instructor commiserates with the social context of, andauthentically listens to, students.(ACE) Classroom climate: The general temperament created in a course, including factors suchas physical layout, the nature of verbal interaction with students, and the structure ofinteractions between students.(AP) Pedagogy: The approaches used to maximize (deep) learning and retention of coursematerial.(ANL) Network leverage: The use of campus support structures to facilitate student success.The resonance of the deep teaching model with our results is somewhat unsurprising, as
Tips for What Makes Cover Examples Way to Negotiate Acing Your a Great Letter for Follow Up and First Job Resume? (with Students + After an Counter a Interview Examples Quick Interview Job Offer and Tips) TipsAfter analyzing each SCALE University Partners’ professional development resources for eachtopic area, there were specific criteria and
provided by Science Citation Index," Scientometrics, vol. 84, no. 3, pp. 575- 603, Sep 2010, doi: 10.1007/s11192-010-0202-z.[3] L. Bornmann, R. Haunschild, and R. Mutz, "Growth rates of modern science: a latent piecewise growth curve approach to model publication numbers from established and 13 new literature databases," Humanities and Social Sciences Communications, vol. 8, no. 1, p. 224, 2021/10/07 2021, doi: 10.1057/s41599-021-00903-w.[4] M. Borrego, M. J. Foster, and J. E. Froyd, "Systematic literature reviews in engineering education and other developing interdisciplinary fields," Journal of Engineering
view of individual differences in self-regulated learning,”Learning and individual differences, vol. 8, no. 4, 1996, pp. 327-353.14. P.H. Winne, “Theorizing and researching levels of processing in self‐regulated learning,”British Journal of Educational Psychology, vol. 88, no. 1, 2018, pp. 9-20.15. J.L. Nietfeld, et al., “The effect of distributed monitoring exercises and feedback onperformance, monitoring accuracy, and self-efficacy,” Metacognition and learning, vol. 1, 2006,pp. 159-179.16. P. Winne and A. Hadwin, “Studying as self-regulated learning. In, DJ Hacker, J.Dunlosky, & AC Graesser,” Metacognition in educational theory and practice, 1998, pp. 277-304.17. M. Pressley and E.S. Ghatala, “Self-regulated learning
]. While this paper is focused on minorities in construction, the existingliterature provides insight into what is currently collected and reported. As of 2010, there wereapproximately 1.5 million persons in U.S. engineering roles, and they identified as 72% White,1% two or more races, 4% Black, 17% Asian, and 5% Hispanic [19], as depicted in Figure 3.Hispanic persons were not identified separately in Figure 3 but are 13.5% Hispanic and 86.5%non-Hispanic [15]. Figure 3. Construction Manager Workforce by Race [15]United States Minority College DemographicMinorities represent a significant portion of the U.S. demographics. According to the U.S.Census Bureau [20], minorities (non-white alone) represent 41.1% of the population in
learning strategies, as well as their achievement goalorientation. As the AGQ-R is a measure that has four constructs that are not mutually exclusive,if they score high in one category, that does not automatically indicate that they will score low onanother. Therefore, by conducting a cluster analysis, we will be able to identify whether cleargroups emerge to investigate the relationship between student’s reported 4 achievement goalorientation scores and metacognitive self-regulation in the classroom.After standardizing the variables via Z-Scores in SPSS, we started with hierarchical clusteringusing Ward’s method to determine the change in agglomeration coefficients (AC). The ACsindicated a 3- to 5-cluster solution would be appropriate. Based on