hoped that this study inspires a much broader research on GGPL with both collaborating and/or competing groups addressing a much larger set of groups and their interactions ranging from small teams to the entire human race. Bibliography[1] J. Dewey, Experience and Education, Macmillan, N.Y., 1939.[2] D. A. Kolb, Experiential Learning: Experience as the Source of Learning and Development, Prentice Hall, Englewood Cliffs, N.J., 1984.[3] J. N. Harb, S. O. Durrant, and R. E. Terry, ”Use of the Kolb Learning Cycle and the 4MAT System in Engineering in Education,” Journal of Engineering Education, Vol. 82, April 1993, pp. 70-77.[4] J. N.Harb, R. E. Terry, P. K. Hurt, and K. J. Williamson, Teaching Through the Cycle: Application of
. During the six weekly in-classsessions, a total of 85,058 telemetry events were recorded. Telemetry data contain timestampswith events, which are listed together with their associated parameters in Table 1.Table 1. Subset of telemetry events as captured in the research version of codeSpark Academywith their visualization. The column “Visualization Markers” contains markers that will be usedin our visualizations, which will be discussed in the Methods section. Telemetry Event Marker PuzzleStart: Sent at the beginning of every puzzle level s PuzzleResult: Sent at the end of every puzzle level *,2*,3* CommandAdded: A
, statistical analysis, simulation processes, optimization techniques, and risk analysis at the strategic and network management level. Among his research sponsors are the National High- way Cooperative Research Program (NCHRP), Metropolitan Transportation Commission in California (MTC), the Texas Department of Transportation (TxDOT), the El Paso Metropolitan Planning Organiza- tion (MPO), and the City of El Paso. His academic work is documented in more than 100 publications in peer- reviewed national and international journals, conference proceedings, books, and technical reports. Dr. Chang also serves as the Chair of the ASCE Infrastructure Systems Committee, and Vice President of isMARTI in the U. S Research Coordinator
diversity & inclusion in the engineeringcurriculum and advocating for more women and minority groups in faculty, staff, and student body.ReferencesAntonio, A. L., Chang, M. J., Hakuta, K., Kenny, D. A., Levin, S., & Milem, J. F. (2004). Effects ofracial diversity on complex thinking in college students. Psychological Science, 15(8), 507-510DeAngelo, Linda, Ray Franke, Sylvia Hurtado, John H. Pryor, and Serge Tran. (2011). CompletingCollege: Assessing Graduation Rates at Four-Year Institutions. Los Angeles, CA: Higher EducationResearch Institute. http://heri.ucla.edu/DARCU/CompletingCollege2011.pdfFutrelle, David. (2013, Feb 19). Discrimination Doesn’t Make Dollars, or Sense. Time Feb 2013).Retrieved from https://business.time.com/2013/02/19
; Yuksek, B. Z., & Dakeev, U., & Baltaci, K. (2012, June), Design andImplementation of a 10 kW Wind Power and Instrumentation System Paper presented at 2012 ASEEAnnual Conference & Exposition, San Antonio, Texas. 10.18260/1-2—21148.[9] Ramirez, E. J. (2008). Engineering Design, Construction, Operation and Analysis of the 2007 TexasA&M University Solar Decathlon House. Energy Systems Laboratory. Available electronically fromhttp://hdl.handle.net/1969.1/85723.[10] Bdwawi, A., Al Ahbabi, H., Al Shamsi, S. A., Hussein, A.A., “Modular PV Charging Station forUAE University Golf Carts”, Elsevier, Energy Procedia, Vol. 75, August 2015, pp. 314-318.https://www.sciencedirect.com/science/article/pii/S1876610215011303.[11] Esfandyari, A
moreclosely with industry partners in order to meet their workforce expectations and develop curriculathat align with the workforce of tomorrow based on cloud computing job roles.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1801024. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the authors and do not necessarily reflect the views of the National ScienceFoundation.References[1] S. Fayer, A. Lacey and W. Watson, A. “BLS spotlight on statistics: STEM occupations- past, present, and future,” U.S. Department of Labor, Bureau of Labor Statistic, 2017. [Online]. Available: https://www.bls.gov/spotlight/2017/science-technology
and support aimed at improvingrecruitment, retention, and graduation for women in engineering and computing. Alumni whoidentify as women were recruited as volunteers to form and direct the advisory committee.Members include representation from each decade including alumnae from the 1970’s to the2010’s.This paper begins by explaining the origins of the committee and the evolution of thecommittee’s mission. Next the efforts to develop a strategic plan are discussed. Included is adiscussion of the methodology used to create the strategic plan, along with details regarding howthe process evolved as it included committee members from across the United States. Finally, theresults to date of the work are detailed and suggestions are provided for
-2017). She is also a judge for the Reimagine Education Awards (2016 – present). In May 2017 she won the ”Inspiring Professor Award” at Tec de Monterrey. She has organized successful Summer Programs in UK, Japan, China and Thailand. She has presented her Research and work at dif- ferent international forums: ASME, Pittsburgh, U.S. 2018 / The Festival of Teaching at Birmingham City University, 2017 / Hayashi Genjuro Art Gallery, Kurashiki, Japan 2016Dr. Gibr´an Sayeg-S´anchez, Tecnol´ogico de Monterrey American c Society for Engineering Education, 2021 Paper ID #33318Dr
internships. These results aredemonstrated in Figure 1. The vertical axis indicates the total number of learning behaviors (orfine codes) demonstrated in an internship and each bar indicates the number of learningbehaviors under each style. In this study, three learning styles dictated students’ internshipexperiences as demonstrated by subordinating learning behaviors. 9 8 7 6 5 4 3 2 1 0 ex ias y s t ax hn yn ley ecca na il y Ki m Al b elb ar
Undergraduate Engineering Students Enhance Novel Instrumentation to Detect the Mach Effect Peter Mark Jansson PE PhD and Peter S. Kaladius Bucknell UniversityAbstract – Undergraduate electrical engineers performing summer research have enhanced thereal-time data collection system of one of their professor’s novel detectors to uncover someremarkable results. Over the past two summers at Bucknell University students in engineeringhave been working on an innovative detector that has repeatedly produced results indicative of areal Machian like reaction force to inertia. Each summer (2018 and 2019) multiple studentscontinued to make electrical enhancements and
initiative is the first, and currently the only one of its kind,which makes college credit available at scale, worldwide. It also provides a pathway toadmission to the university for students who may not otherwise qualify. The MOOC explores theNational Academy of Engineering (NAE)’s Grand Challenges for Engineering and related globalchallenges. This course, based on an on-ground counterpart offered at ASU, is designed to alsohelp students develop the necessary interdisciplinary systems perspective and entrepreneurialmindset to solve the complex global challenges presented. This course fuses engineering with thesocial sciences, asking students to explore the interactions between society and technology,including the influences of human behavior
surveyed on their perception of the effectiveness of the CW. Cohort 1was polled as the course was ending while Cohorts 2 and 3 were emailed a survey link at thebeginning of the following semester. Cohort 1 had a 100% response rate with all 14 studentswhile Cohorts 2 and 3 were emailed a survey link that yielded 116 responses, 34% of theenrollment. Cohort 1 responded to a prompt that included all teaching exercises utilized by theinstructor while Cohorts 2 and 3 responded to the following prompt which asks about the CWspecifically. Tables 2 and 3 chart the breakdown of the responses. Table 2 is a reflection ofCohort 1’s response to the CW, specifically with a rating of 4.1/5.0. Cohorts 2 and 3 were notpolled separately and are shown combined in
examine these changes on student performance as well, and a morein-depth analysis with an automated tool needs to be conducted on how student code quality isimpacted. Also, future studies could look at developing methods to better enforce code qualityand good style practices in short exercises. In addition, future studies should confirm the Bloom’sTaxonomy level of CS exercises before their use, and perhaps they should even aim to work withother instructors to create a bank of CS exercises and come to a consensus on how to map CStopics to BT.References [1] S. Zweben and B. Bizot. The taulbee survey. Computing Research Association, 2018. URL https://cra.org/resources/taulbee-survey/. [2] Vincenzo Del Fatto, Gabriella Dodero, Rosella Gennari
Society for Engineering Education, 2020 Educating Civil Engineering TechnologistsIntroduction Civil engineering work has evolved to encompass the distinctive roles and competencies of professional engineers, technologists and technicians. A civil engineering technologist is a specialist trained to work in one or more technical areas within the civil engineering field. Engineering technologists often work under professional engineers, yet they are expected to demonstrate competency for completion of independent activities within their particular area(s) of specialty. In many cases, civil engineering technologists acquire unique skills and knowledge that complement those of a professional engineer. In contrast, civil
reflected in her publications, research, teaching, service, and mentoring. More at http://srl.tamu.edu and http://ieei.tamu.edu.Dr. Jacques C. Richard, Texas A&M University Dr. Richard got his Ph. D. at Rensselaer Polytechnic Institute, 1989 and a B. S. at Boston University, 1984. He was at NASA Glenn, 1989-1995, worked at Argonne National Lab, 1996-1997, taught at Chicago State University, 1997-2002. Dr. Richard is an Instructional Associate Professor, Aerospace Engineer and NSF REU Program Director at Texas A&M since 1/03. His research focuses on computational plasma model- ing using particle methods with spectral methods on Maxwell and Boltzmann equations. He has applied the lattice Boltzmann method to study
Under-Represented Minority Students in STEM Courses,” Texas Tech University in, 2016, pp. 1-161.11. Gosser, D. K., & Roth, V.,1998, “The workshop chemistry project: Peer-led Team Learning”, Journal of Chemical Education, 75(2), 185-187.12. Gosser, D. K., Cracolice, M. S., Kampmeier, J. A., Roth, V., Strozak, V. S., & Varma-Nelson, P.,2001, “Peer-Led Team Learning: A Guidebook”, Upper Saddle River, NJ: Prentice-Hall, Inc.13. Beck, P.,2012, “PLTL & Pre-Calculus at Prince George’s Community College. Peer-led Team Learning: Implementation”, Originally published in Progressions: The Peer-led Team Learning Project Newsletter, (3)2, Winter 2002. Retrieved from http://www.pltlis.org14. Hockings, S.C., DeAngelis
://www.vip.gatech.edu/how-vip- credits-count. [Accessed: 06-Feb-2018].[9] J. Sonnenberg-Klein, R. T. Abler, and E. J. Coyle, “Correlation between Academic Credit- use Policies and Student Persistence in Vertically Integrated Project (VIP) Courses,” presented at the Manuscript submitted for publication, 2018.[10] S. H. Russell, M. P. Hancock, and J. McCullough, “Benefits of Undergraduate Research Experiences,” Science, vol. 316, no. 5824, pp. 548–549, 2007.[11] S. A. Webb, “The Importance of Undergraduate Research,” Science | AAAS, 06-Jul-2007. [Online]. Available: http://www.sciencemag.org/careers/2007/07/importance- undergraduate-research. [Accessed: 27-Dec-2017].[12] J. C. Norcross, “Getting involved in research as an undergraduate
, piloting,and implementing new course content, we have been able to identify the strategies employed andthe challenges we have faced. As we continue to navigate this ongoing process, we areconsidering the lessons we have learned and continue building upon our strategies forimprovement. It is our hope that we can encourage further discussion regarding strategies forincorporating diversity and inclusion into curriculum, as well as programs and practices, invarious engineering contexts. 15 ReferencesBurgstahler, S. (2009). Universal design of instruction (UDI): Definition, principles, guidelines, and
solutions for increasing diversity.Amy’s storyAmy is the youngest of five children and the only member of her family to have graduated fromcollege. Her father was one of eight children and he completed his formal education at the end ofeighth grade in order to find a job to help support the family. This was typical of the time(1930’s), and within his community and social economic status of first generation immigrants tothe United States. Amy’s father learned a trade (welding) that enabled him to have a lifetime ofsteady employment in order for him to provide for his family. Amy remembers that her father atvarious times worked overtime, double time, second or third shift, each of which had differentincentives that increased the hourly wage for the
’ current major,mathematics progression, and overall academic progress during future terms. Additionalinterviews and follow-up with the participants will also be explored.AcknowledgementsThis paper is based upon work supported by the National Science Foundation under Grant No.1430398. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.BibliographyAlvarado, C., & Dodds, Z. (2010). Women in CS: An Evaluation of Three Promising Practices. ACM Technical Symposium on Computer Science Education. Milwaukee, WI.Charney, J., Hmelo-Silver, C. E., Sofer, W., Neigeborn, L., Colleta, S., & Nemeroff, M. (2007
can be found by simulation. An example of a basketballthrown with unknown speed at 45 degrees with known range can be found on page 73 of PhysicsFundamentals, Vincent Coletta, Second Edition, 2010, Physic Curriculum & Instruction Inc. Abasketball with unknown speed thrown at 45 degree going from (0, 2m) to (6m, 3m) is listed andthe book method contains algebra steps to solve for initial speed by eliminating time variable,with the answer = 8.4 m/s.The simulation results can be categorized in the following format for the illustration of deductionthinking and induction thinking:Science Deduction1 (Statement)If speed was 8.4 m/s, then ball entered basket.Science Deduction2 (Contrapositive)If ball did not enter basket, then ball was not thrown
– Penn State BerksReferences[1] R. Carson, Silent Spring. Boston, MA: Houghton-Mifflin, 1962.[2] G. Hardin, The tragedy of the commons. Northampton, MA, 2003.[3] T. Saarinen, "Book Review", Environment and Behavior, vol. 16, no. 3, pp. 406-408, 1984.[4] D. Glass and P. Appleman, "Thomas Robert Malthus: An Essay on the Principle of Population.", Population Studies, vol. 30, no. 2, p. 369, 1976.[5] "Stop whatever you're doing. Planet Earth has now used up its resources for 2017", Newsweek, 2017. [Online]. Available: http://www.newsweek.com/earth-overshoot-day-2017-climate-change-645296. [Accessed: 22- Aug- 2017].[6] P. Tikka, M. Kuitunen and S. Tynys, "Effects of Educational Background on Students
of DesignInputs, the criteria that governs thesolution(s). Students have to identify forwhom their solution is being developed Prototyping & Testing Design Inputsas well as who will utilize the solution(patients, governments, physicians, etc.).It is these customer needs that thestudents strive to satisfy with their Solution Selection
institutionalchange that occurs as the result of the realized value.Plans for Data Collection and AnalysisTo perform this study in the near future, we would use mixed methods to obtain data on how aFYECS can obtain value from living in the EIRC LLC located at Boise State University. Thisstudy will be conducted with the goal of learning how working with a LLC can create value forthe FYECS through using Wenger et al.’s Value Creation Framework [1]. Through the use of theValue Creation Framework, the researchers will provide a foundation for the evaluation processwhere the integration of heterogeneous sources of data will help to create a picture of hownetworks or communities can potentially create value for the FYECS [1].For this study, purposeful sampling
integrated approach to teacher professional development in stem. Journal of STEM Education: Innovations and Research, 13 (2), 69.[9] Bandura, A., (1997). Self-efficacy: The exercise of control: Macmillan.[10] Bandura, A. & Wessels, S., (1994). Self-efficacy.[11] Maddux, J.E., (1995). Self-efficacy theory. Self-efficacy, adaptation, and adjustment. Springer, 3-33.[12] Stohlmann, M., Moore, T.J. & Roehrig, G.H., (2012). Considerations for teaching integrated stem education. Journal of Pre-College Engineering Education Research (J- PEER), 2 (1), 4.[13] Shaughnessy, M.F., (2004). An interview with anita woolfolk: The educational psychology of teacher efficacy. Educational Psychology Review, 16 (2), 153-176.[14
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experimental de la capacitie portante du sable sous des foundations directes etablies en surface.” Annales des Travaux Publics de Belqique, Vol. 59, No. 3, pp5-58.4. Sutton, M. A., Orteu, J.-J., Schreier, H. W. (2009) Image Correlation for Shape, Motion and Deformation Measurements: Basic Concepts, Theory and Applications, Springer, New York.5. Hall, S. A., et al. (2010) “Discrete and continuum analysis of localized deformation in sand using x-ray μCT and volumetric digital image correlation.” Géotechnique, Vol. 60, No. 5, pp 315-322.6. Hall, S. A. (2012) “Full-field displacement/strain measurements and digital image correlation – principles and
could examine other ways to view studentvolunteerism and the potential effects that those experiences have on the attitudes of personaland professional social responsibility in engineering students.AcknowledgementsThis material is based on work supported by the National Science Foundation under Grant#1158863. Any opinions, findings, and conclusions or recommendations expressed in thismaterial are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.Bibliography1 A. W. Astin, L. J. Vogelgesang, E. K. Ikeda and J. A. Yee, How Service Learning Affects Students, Los Angeles: Higher Education Research Institute, 2000.2 J. S. Eyler, D. E. Giles, C. M. Stenson and C. J. Gray, "At a Glace: What We
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Related Careers," National Science Foundation, Washington D.C., 2013.[5] J. Arminio, T. K. Grabosky and J. Lang, Student Veterans and Service Members in Higher Education, New York: Routledge, 2015.[6] S. M. Lord, K. A. Kramer and R. T. Olson, "Work in Progress- Conecting Veterans to Customized Engineering Educaiton ath the University of San Diego," in 40th ASEE/IEEE Frontiers in Education Conference, Washington D. C., 2010.[7] J. B. Main, M. M. Camacho, C. Mobley, C. E. Brawner and S. M. Lord, "Understanding the Military Veteran's Human Resource Needs - Transition from Military Service to the Engineering Profession," in ASEE Annual Conference & Exposition , New Orleans, LA, 2016.[8] K. A