, provide stakeholders with a clear sense of the ways in whichRED and REDPAR contribute to the transformation of undergraduate engineering education.This material is based upon work supported by the National Science Foundation under GrantNo.’s #1649379, 1649318, 2005244, & 2005307 Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the authors and do not necessarilyreflect the views of the National Science Foundation.References[1] London, J. A content analysis of how STEM education researchers discuss the impact oftheir publicly-supported research. International Journal of Engineering Education, 34(3), 1120-1137, 2018.[2] Brewer, J.D. The impact of impact. Research Evaluation, 20(3), 255–256. 2011
college. Based on the comments from the fourteen students, they believed that NSTI had animpact on the career choice. Therefore, NSTI offered at Rowan University continues to have a long-termimpact on the students.ACKNOWLEDGEMENTThe authors would like to acknowledge the USDOT, the Federal Highway Administration, and the NewJersey Department of Transportation/Division of Civil Rights for funding this study through the NationalSummer Transportation Institute.References1. Ali, A. Mehta, Y., Patel, S., Evaluation of the 2017 National Summer Transportation Institute Hosted atRowan University, Proceedings of the 2018 ASEE Annual Conference Proceedings, Salt Lake City, UT.
-0.03863 1.0000 0.0171 0.02995 1.0000 0.0151 4 8 -0.05851 1.0000 0.0402 0.02649 1.0000 0.0208 – 4 of 9 – Table 3: Self-rating and Peer-rating Across Dimension (Convergence) ANOVA AnalysisInterventi Difference P-value Effect Size Difference P-value Effect Size on Mean (Self- (Cohen's d) Dispersion (Cohen' s d) Peer) (Self-Peer) 1 -0.5043 <0.0001 0.4761 -0.4978 <0.0001 1.1806 2 -0.5110 <0.0001 0.4759 -0.4921 <0.0001
this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.Reference[1] Chandramouli, M., & Jin, G., & Heffron, J. D., & Fidan, I., & Cossette, M., & Welsch, C. A., &Merrell, W. (2018, June), Virtual Reality Education Modules for Digital ManufacturingInstruction, Paper presented at 2018 ASEE Annual Conference & Exposition , Salt Lake City, Utah.10.18260/1-2—31225[2] El-Mounayri, H. (2005, June), Virtual Manufacturing Laboratory for Training andEducation, Paper presented at 2005 Annual Conference, Portland, Oregon. 10.18260/1-2--15154[3] Yingxue Yao, Jianguang Li, Changqing Liu, A Virtual Machining Based Training System ForNumerically Controlled Machining
development while evaluatingthe impact of the program more broadly. Future work will include initial coding the data fromthe other cohorts and completing the longitudinal coding for each faculty participant. Based onthe findings, we hope to learn more about how faculty continue to develop their identity asresearchers and their motivation to participate in public outreach events. Overall, we hope toimprove STEAM research communication holistically and advance STEAM literacy in our localcommunity.AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.1811119. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect
, pp. 1–7, 2013.[2] S. Provasnik, A. KewalRamani, M. McLaughlin Coleman, L. Gilbertson, W. Herring, and Q. Xie, “Status of Education in Rural America,” Washington, DC, 2007.[3] J. J. Versypt and A. N. Ford Versypt, “Mapping Rural Students ’ STEM Involvement : Case Studies of Chemical En- gineering Undergraduate Enrollment in the States of Illinois and Kansas Mapping Rural Students ’ STEM Involvement : Case Studies of Chemical Engineering Undergraduate Enrollment in t,” in ASEE Annual Conference and Exposition, Conference Proceedings, 2013.[4] L. Zahedi, M. Ross, and J. Batten, “Pathways and Outcomes of Rural Students in Engineering," no. June 2019.[5] K. M. Ganss, “The college transition for
important aspect in this course. Whiledeveloping the curriculum, this topic was intended to be a smaller unit which would take oneweek to complete. The students were taught the different types of models, both physical andvirtual. They were also taught the situations where one would prefer one type of model overanother. For example, strength model v/s an elastic model. To increase student enthusiasm,the students were encouraged to make a model. This model could be any kind of model andof any size. The only requirement needed to discuss with the instructor and provide theinstructor with the estimated cost. This was done to ensure that the scope of the model wasfeasible, and it was within the budget. Students made a variety of models including
participants, ten have transferred intoengineering majors at four-year universities (43%), two have transferred into other STEM majors(9%), eight continue to take transfer preparatory courses at CCC (35%), and the educationalstatus of three students is unknown (13%). Anecdotally, several of the transferred students haveindicated that they continued to seek out research opportunities after transferring.AcknowledgementsThis material is based on work supported by the National Science Foundation S-STEM GrantNumber 1564587 and by the University of California at Davis AvenueE program.References[1] L. Fleming, K. Engerman, and D. Williams, “Why Students Leave Engineering: TheUnexpected Bond,” in 2006 Annual Conference & Exposition, Chicago, Illinois, USA
which 21 werehigh school students, and 37 Solutions Architects including 10 high school students.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-engineering-and- mathematics-stem-occupations-past-present-and-future/pdf/science
these aspects of the course. (Memory) In the box below, describe what you learned and indicate the most important thing(s) you took away.What the students reported learning is summarized in Table 1 and described in more detail withillustrating quotations below, either in the sub-sections that follow, or in Appendix B for thosethat are more mundane, less prevalent, and likely to be of interest to fewer readers.Table 1: Summary of All Themes Theme Description Prevalence (# of students) Roles indications of the roles of facilitator and/or
and ownership of course design and implementation[9]. We also found that trust between faculty resulted in informal coordination [8], particularly inthe assistance provided to members of the community that needed larger levels of support toovercome difficulties in the online teaching environment.References[1] S. Freeman, S.L. Eddy, M. McDonough, M.K. Smith, N. Okoroafor, H. Jordt, and M.P.Wenderoth, “Active learning increases student performance in science, engineering, andmathematics,” PNAS, vol. 111, pp. 8410-8415, Jun. 2014.[2] A. Kezar and J. Lester, Enhancing Campus Capacity for Leadership: Stories and Lessonsfrom Grassroots Leadership in Higher Education. Stanford, CA: Stanford University Press,2011.[3] E. Wenger, Communities of
://engineeringunleashed.com/card (accessed May 24, 2021).[10] S. E. Brownell and K. D. Tanner, “Barriers to Faculty Pedagogical Change: Lack of Training, Time, Incentives, and…Tensions with Professional Identity?”, CBE—Life Sciences Education, vol. 11, no. 4, pp. 339-346, Oct. 2017, doi: 10.1187/cbe.12-09-016.[11] J. L. Borgford-Parnell, "A pedagogy of larger concerns: Grounding engineering faculty development in research on teaching conceptions," in 2015, DOI: 10.18260/p.23421[12] MURAL. “MURAL” www.mural.com (accessed May 24, 2021).[13] M. Vansteenkiste, W. Lens and E. L. Deci, "Intrinsic Versus Extrinsic Goal Contents in Self-Determination Theory: Another Look at the Quality of Academic Motivation," Educational Psychologist, vol
of confidence with operating machinery sincethey would already understand the machines and how to write manufacturing plans. Regardlessof whether it becomes a supplemental course or not, the strategies employed may provebeneficial to implement for more long-term or permanent online course offerings.References[1] C.A. Berry, “Teaching an Electrical Circuits Course Online,” in ASEE Annual Conference & Exposition, Seattle, WA, USA, June, 2015, 10.18260/p.24801.[2] R. Parkhurst, B. Moskal, G. Downey, J. Lucerna, T. Bigley, and S. Ruff, “A Comparative Analysis Of Online And In Class Versions Of Engineering Cultures,” in ASEE Annual Conference & Exposition, Chicago, IL, USA, June, 2006, 10.18260/1-2—672[3] X. Song, P
for Research in Mathematics Education, 9, 40-62.[8] Borrego, M., Froyd, J. E. & Hall, T. S. (2010). Diffusion of engineering education innovations: A survey of awareness and adoption rates in U.S. engineering departments. Journal of Engineering Education, 99, 185-207.[9] Boyce, W. E. & DiPrima, R. C. (2005). Elementary differential equations. Wiley.
," [Online]. Available: http://www.aneaes.gov.py/v2/application/files/4215/3356/6368/Criterios_de_calidad_Ingenierias.pdf. [Accessed 2021].[2] Facultad de Ingeniería, BUAP, "Gruppo de Ciencas Espaciales," [Online]. Available: https://sites.google.com/site/gcespacialesfibuap/home/-que-son-las-ciencias-espaciales. [Accessed 2021].[3] C. P. S. U. Cal Poly, CubeSat Design Specification Rev. 13, San Luis Obispo, California: The CubeSat Program, 2014.[4] TWI Ltd, "TWI Global," [Online]. Available: https://www.twi-global.com/technical- knowledge/faqs/what-is-petg. [Accessed 2021].[5] J. Velásquez, "MyOpenLab Software," 2017. [Online]. Available: https://myopenlab.org/inicio
Rehabilitation, SUNY Upstate Medical University, Syracuse, NY. Registered Professional Engineer (Ohio). Robinson’s ethics teaching style comes from an amalgam of academic, industrial (Bell Labs), governmen- tal (VA) and clinical experiences, plus an interest in ethics from his undergraduate days.Ms. Loretta Driskel, Clarkson University Since the late 1990’s Loretta’s passion has been to create engaging, diverse teaching and learning ex- periences for students and faculty. As the senior instructional designer at Clarkson University, she has presented at conferences such as the Online Learning Consortium and over the past two decades, she has also presented at a wide variety of other venues including ADEIL; Sloan-C
, Tracy Volz, “Assessing Design Capabilities Following a Client-BasedFreshman Design Course,” 4th First Year Engineering Experience (FYEE) Conference,Pittsburg, Aug. 9-10, 2012.[3] Nagel, R. L., Pierrakos, O., Nagel, J. K., Pappas, E. C., “On a Client-Centered, SophomoreDesign Course Sequence, ASEE Annual Conference, San Antonio, TX, 2012.[4] Zarske, M. S., Schnee, D. E., Bielefeldt, A. R., Reamon, D. T., “The Impacts of RealClients in Project-Based Service-Learning Courses,” ASEE Annual Conference, Atlanta GA,2013.[5] Oaker, W., Thompson, M., “Integration of Service Learning into a Freshman EngineeringCourse,” ASEE Annual Conference, Salt Lake City, UT, 2004.[6] Building a Better Emergency Room, An Architects Perspective, Emergency
session: Pathways into engineering education research,"In 2020 IEEE Frontiers in Education Conference (pp. 1-2), 2020.[6] M. Borrego, "Conceptual difficulties experienced by trained engineers learning educational research methods." Journal of Engineering Education, vol. 96(2): pp. 91-102, 2007.[7] R. A. Streveler, K. A. Smith, and R. L. Miller, "Enhancing engineering education research capacity through building a community of practice," in ASEE 2005 Annual Conference and Exposition, 2005.[8] J. S. Brown, "Internet technology in support of the concept of “communities-of-practice”: the case of Xerox." Accounting, management and information technologies, vol. 8(4): pp. 227-236, 1998.
land fires, renewable energy technologies, fire dynamics and electro- chemical energy storage and conversion devices (Fuel cells and Batteries). He has developed and refined 1D and 3D dynamic solvers for species transport, heat transfer, electrochemical reactions (adsorption and desorption), impedance, polarization and electrical potential for solid oxide fuel cells (SOFCs) and sodium sulphur batteries (Na-S). He also has developed a novel model to predict the nickel coarsening in high temperature SOFCs based on electro-migration. His current research is related to computational modeling of liquid atomization, drag coefficient of complex geometries, combustion, fire dynamics and heat transfer mechanisms of 3D direct
://www.datasciencedegreeprograms.net/rankings/affordable-bachelors/ • https://blog.collegevine.com/the-list-of-all-u-s-colleges-with-a-data-science-major/ • https://www.usnews.com/best-colleges/rankings/computer-science/data-analytics- science3.3 Datasets A total of 171 undergraduate Data Science programs were initially crawled, but only 136programs were evaluated for this study. 35 undergraduate programs were omitted from theanalysis due to the following: • no data science courses were evident in the list of core requirements for the program • only a graduate degree was offered • only a Data Science minor was offered. No Data Science major was offered. Each institution’s course offering as listed on the institution’s website, department
its firstyear of operation, we summarize the current state of the program and make some suggestionsabout the future of the program.Background and LiteratureThe term, data science, likely coined in 2001 by W. S. Clevland [2], has had a number ofdefinitions. For the purposes of this paper, we focus on considering data science as a disciplinethat combines the fields of computer science, mathematics, statistics, and information technologybut with a focus on the generation, organization, modeling, and use of data to make scientific andbusiness decisions. Needless to say, a distinguishing feature of data science is the centrality of‘data’ to the mission of the discipline and its professionals. Data science programs shouldproduce data scientists
remains to incorporate other teacher feedback into a more complete analysis.Teachers also gave regular reflections through the course management site, and participated infocus groups a few times throughout the year. This initial investigation of individual teacherinterviews, when supplemented with this additional data, should allow us to investigate teachermotivation and perception of success more fully.Acknowledgements:The authors appreciate the contributions of the entire e4usa team. This material is based uponwork primarily supported by the National Science Foundation (NSF) under NSF Award NumberEEC- 2033445. Any opinions, findings, and conclusions, or recommendations expressed in thismaterial are those of the author(s) and do not necessarily
assessments (i.e., particularexam questions pass rate, written reports, etc.). The report may not consider the learning processstudents had during their course(s) or throughout their undergraduate program. In other words,assessment-centric self-study reports are not concerned with existing pedagogical practices anddata on how and why engineering students achieve the desired competencies of the requiredoutcomes. Given the emphasis of ABET on continuous improvement, it is surprising, andantithetical to commonly accepted quality assurance and continuous improvement processes, thatABET processes do not formally require student perceptions of their achievement of the studentoutcomes. Although employers and faculty are both recognized as
, D.P. French, and S. Sohoni, “Need Assessment for Graduate Teaching Assistant Training: Identifying Important but under-Prepared Roles,” in Proceedings of the ASEE Midwest Section Annual Conference, 2010.
threshold, then same response as 4b above. b. For those metrics that previously were less than the established threshold from 4b: i. If the metric now exceeds the threshold value, then no action is required, ii. If the value of the metric again is less than the established metric value, then the situation is considered to be a concern. The departmental faculty will at this time develop potential corrective action(s) that will be agreed upon by consensus. 6. For subsequent evaluation cycles: a. If the value of the metric exceeds the established threshold value, then no action is necessary, b. If the value of the
. Skills and Tasks for Jobs - A SCANS (Secretary's Commission on Achieving Necessary Skills) report for America 2000, U.S. Department of Labor, U.S. Government Printing Office, ISBN 0-16-036177-X. 5. http://nsse.iub.edu/html/about.cfm, National Survey of Student Engagement (NSSE), the Center for Postsecondary Research (CPR) in the Indiana University School of Education. 6. http://www.merriam-webster.com/dictionary/engagement 7. http://www.career-journal.com/en/leadership/206.html?infoView=25455, Which are the Employability Skills – Hard Skills or Soft Skills? Prof. M. S. Rao, March 31, 2010. 8. Career Directions, 10, 2003, pp. 22-23. 9. http://www.uwplatt.edu/pacce/ 10. http://www.ccsse.org
and minorities more strongly attracted to opportunities forcollaborative, interdisciplinary scholarship (cluster-based) than to traditional departmental(replacement hire) positions?In order to assess the gendered faculty climate at Michigan Tech and to determine areas forrecruitment improvement, he A ca S e a de e ed (Appendix). This survey wasdesigned and distributed in conjunction with the University Affirmative Programs Office andsent to all faculty applicants prior to initial screening and before interviewing. The survey wasa ed b M ch ga Tech I a Re e B a d (M0334).The Applicant Survey wasvoluntary and consisted of 20 questions meant to highlight various individual gender and racedistinctions as
payload module will fit within a 3.5 x 3.5 x 7 inch volume (total rapid prototype volume available for each team). Must be safe for a typical college student to operate.Each eam a lied i h a De ign S o Ki ha incl ded all he ma e ial andequipment necessary for the reverse engineering of the rocket as well as the fabrication of theCam-A-Rok system. The components included in the Design Support Kit are listed in Table 1and can be seen in Figure 2. Table 1 Design Project Support Kit Parts List Item No. Description 1 Project Case Proceedings of the 2011 North Midwest Conference 2 Camera Kit