support for students to succeed in research. The students completedweekly reports to keep them on task and allowed them to track their progress during the 10 weeks of theprogram. Questions included in the progress report were: • What did you do this week? • What is/are your research question(s)? • How have your research questions been developed or refined this week? • How is the research methodology being developed and why it is appropriate? • What literature did you find/explore this week and what was the most useful? • What data was collected this week? (Feel free to attach a few pictures or graphs of your data at the end of this document.) • Problems or potential problems this week? • Questions or
, and C. Funk. “STEM jobs see uneven progress in increasing gender, racial and ethnic diversity: Higher education pipeline suggests long path ahead for increasing diversity, especially in fields like computing and engineering,” Pew Research Center. 2021 [Online]. Available: https://www.pewresearch.org/science/2021/04/01/stem-jobs-see-uneven-progress-in -increasing-gender-racial-and-ethnic-diversity/[3] P. Baxter and S. Jack (2008). “Qualitative Case study methodology: Study design and implementation for novice researchers,” The Qualitative Report [Online]. 13(4), 544-559. Available: http://www.nova.edu/ssss/QR/QR13-4/baxter.pdf[4] V. Braun and V. Clarke (Dec. 2006). “Using thematic analysis in psychology
] T. Hunt, R. Carter, L. Zhang, and S. Yang, “Micro-credentials: the potential of personalizedprofessional development,” Development and Learning in Organizations: An InternationalJournal, vol. 34, no. 2, pp. 33-35, 2020.[2] B. Hoanca, B. and B. Craig,. “Invited Paper: Building a K-16-Industry Partnership to TrainIT Professionals,” Journal of Information Systems Education, vol. 30, no. 4, pp. 232–241, 2019.[3] L. Wheelahan and G. Moodie, “Gig Qualifications for the Gig Economy: Micro-Credentialsand the ‘Hungry Mile’,” Higher Education: The International Journal of Higher EducationResearch, vol. 83, no. 6, pp. 1279–1295, 2022.[4] NIST Computer Security Resource Center. Nice Framework Competencies: AssessingLearners for Cybersecurity Work (2nd
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institutions can affect faculty diversity. In L. L. Espinosa, J. M. Turk, M. Taylor, & H. M. Chessman (Eds.), Race and ethnicity in higher education: A status report (pp. 273-279). The American Council for Education.Hokanson, S. C., & Goldberg, B. B. (2018). Proactive postdoc mentoring. In, A. Jaeger & A. Dinin (Eds.), The postdoc landscape: The invisible scholar (pp. 91-120). Elsevier.National Science Foundation. (2018). Building the future: Investing in discovery and innovation– NSF strategic plan for fiscal years 2018-2022. https://www.nsf.gov/pubs/2018/nsf18045/nsf18045.pdfPyhältö, K. (2018). Function of supervisory and researcher community support in PhD and post- PhD trajectories. In E. Bizer, L
, 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
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
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
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.
theory and reflective practice. Projects supported by the National Science Foundation include exploring disciplines as cultures, liberatory maker spaces, and a RED grant to increase pathways in ECE for the professional formation of engineers.S Masters, Virginia Polytechnic Institute and State University S. Masters is a doctoral student and Graduate Research Assistant at Virginia Polytechnic Institute and State University. Masters received a B.S. in Mechanical Engineering from University of Delaware and is currently pursuing a Ph.D. in Engineering Education at Virginia Tech. Masters’ research interests include equity and social justice in engineering with particular attention to the experiences of women & LGBTQ
invitation. Thefocus group interviews will coincide with the annual conference American Society forEngineering Education in Columbus, OH for the 124th Annual Conference & Exposition, June24 - 28, 2017.AcknowledgmentThis material is based in part upon work supported by the National Science Foundation underGrant Numbers 1535456 and 1712618. Any opinions, findings, and conclusions orrecommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.References1. Hill Collins, P. Toward a new vision: Race, class, and gender as categories of analysis and connection. Race Sex Cl. 1, 25–45 (1993).2. American Society for Engineering Education. Engineering Database System
focus on testing what learner characteristics contribute to MOOC usagethrough predictive models, building a course analytics pipeline for visualizing learnerperformance, mapping of course characteristics, and development of evaluation tools (criteriaand rubrics) useful for MOOC evaluation.Bibliography[1] Davidson, E. J. (2005). Evaluation methodology basics: The nuts and bolts of sound evaluation. Thousand Oaks, CA: Sage.[2] Hicks, N., Zielinski, M., Wang, S. H., Douglas, K. A., Bermel, P., Diefes-Dux, H. A., & Madhavan. Intended Outcomes of Teaching a STEM MOOC. (Abstract submitted). IEEE Frontiers in Education Conference. Indianapolis, IN.[3] Douglas, K. A., Mihalec-Adkins, B., Hicks, N., Diefes-Dux, H. A., Madhavan
://github.com/joshpelkey/cmap-parse>. [7] Paas, F., Tuovinen, J. E., Tabbers, H., & Van Gerven, P. W. 2003. Cognitive load measurement as a means to advance cognitive load theory. Educational psychologist, 38(1), 63-71. [8] Hoffman, B., & Schraw, G. 2010. Conceptions of Efficiency: Applications in Learning and Problem Solving. Educational Psychologist,45(1), 1-14. doi:10.1080/00461520903213618 [9] Antonenko, P., Paas, F., Grabner, R., & van Gog, T. 2010. Using electroencephalography to measure cognitive load. Educational Psychology Review, 22(4), 425-438.[10] Hart, S. G. 2006. NASA-task load index (NASA-TLX); 20 years later. In Proceedings of the human factors and ergonomics society annual meeting, Vol. 50, No. 9, pp
driverless car sees the road,” https://www.ted.com/talks/chris_urmson_how_a_driverless_car_sees_the_road, accessed February 12, 2017.2. Richards, Neil M., and William D. Smart. "How should the law think about robots?," https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2263363, accessed February 12, 2017.3. J.G. Ballard, Thousand Dreams of Stellavista, Short Story, 1963.4. Aikenhead, G. S. and Ryan, A. G, “The Development of a New Instrument: Views on Science—Technology— Society (VOSTS)” Sci. Ed., Vol. 76, 1992, pp. 477–491.5. Mack, P.E., Campbell, T. and Abd-Hamid, N.H., “Issues in Survey Assessments of STS courses”, Bulletin of Science, Technology, and Society, October 2008, Vol. 28, pp. 408-413.6. California Critical
Exposition, San Diego, CA, November 2013. 3. L. Guessous, Q. Zou, B. Sangeorzan, L. Smith, L. Yang, X. Wang, J.D. Schall, G. Barber and M. Latcha,“ AERIM Automotive-themed REU Program : Organization, Activities, Outcomes and Lessons Learned,” Paper AC 2001-1309, 2011 ASEE Annual Conference and Exposition, Vancouver, Canada, June 2011. 4. E. Seymour, A.-B Hunter, S. Laursen, and T. DeAntoni, T. "Establishing the benefits of research experiences for undergraduates: first findings from a three-year study," Sci. Educ., 88, pp. 493-594, 2004. 5. A.W. Astin, What matters in college? Four critical years revisited. San Francisco: Jossey- Bass., 1993. 6. Pascarella, E. T., & Terenzini, P. T., How college
mechanicalengineering, civil and environmental engineering, biomedical engineering, and electrical andcomputer engineering created a Scholarship Program for Undergraduate Retention and Success(SPURS) with the support of NSF’s S-STEM initiative. The proposed program consists of anintegrated approach to increase the number and graduation rate of undergraduate students whoenroll in the College of Engineering. As financial constraints are a major disincentive forstudents to enroll and persist in higher education, this project combines scholarships with otherforms of academic and professional support to ensure student persistence and completion of aB.S. Engineering degree. Providing resources and educational opportunities for undergraduateengineering students will
engagement.These theories will contribute to our understanding of how community issues can be used as thecontext for mathematically rich authentic problems that enhance and develop students’ level ofcommunity engagement, career exploration, STEM knowledge, literacy, and motivate students topursue STEM disciplines.AcknowledgementsThe authors gratefully acknowledge the participants in this study, including project evaluators,community partners and content experts. Also, this material is based upon work supported by theNational Science Foundation under Grant No. 1513256. Any opinions, findings, and conclusionsor recommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.
should reinforce underlying ECEconcepts while providing examples of ECE and BME application. Our 305’s portable modulesfor nScope, strike this balance. Since nScope and Digilent Analog Discovery share manysimilarities, we anticipate the earliest partial implantation of these modules in EEL3111C to takeplace in Spring 2018. The researchers will have then have the opportunity to study the wayinstructors employ new materials, the difficulties they face, and what can be done to overcomethose barriers. Perhaps the most challenging HPL principle to implement in a web-based platform is“assessment-centered,” as it entails optimizing the amount and type of formative feedbackprovided to the students. We will use the results to examine the effectiveness of
://www.aiche.org/ccps/chemical-accidents-news 2. “Criteria for accrediting engineering programs, 2016 – 2017,” Accreditation Board for Engineering and Technology, Baltimore, MD, USA, 2016. Accessed: Jun. 2019. [Online]. Available: http://www.abet.org/accreditation/accreditation-criteria/criteria-for- accrediting-engineering-programs-2016-2017/# 3. E. Biddle and S. Afanuh. “NIOSH Workplace Design Solutions: supporting Prevention through Design (PtD) using business value concepts,” U.S. Dept. of Health and Human Services, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, Cincinnati, OH, USA, Rep. 2015-198, 2015. 4. D. Crowl and J. Louvar, "Concepts to Prevent Fires
, and conclusions or recommendations expressedin this material are those of the authors and do not necessarily reflect the views of the NationalScience Foundation.References[1] V. P. Dennen and K. J. Burner, "The cognitive apprenticeship model in educational practice," Handbook of research on educational communications and technology, vol. 3, pp. 425-439, 2008.[2] M. Borrego, "Conceptual difficulties experienced by trained engineers learning educational research methods," Journal of Engineering Education, vol. 96, pp. 91-102, 2007.[3] C. J. Finelli, S. R. Daly, and K. M. Richardson, "Bridging the research‐to‐practice gap: Designing an institutional change plan using local evidence," Journal of Engineering
; Measurement, respectively from Purdue University. Her work centers on P-16 engineering education research, as a psychometrician, program evaluator, and institutional data analyst. She has authored/co-authored more than 40 peer-reviewed journal articles and conference proceedings and served as a reviewer of journals in engineering education, STEM education, and educational psychology, as well as an external evaluator and an advisory board member on several NSF-funded projects.Dr. Jacques C. Richard, Texas A&M University Dr. Richard got his Ph. D. at Rensselaer Polytechnic Institute, 1989 & a B. S. at Boston University, 1984. He was at NASA Glenn, 1989-1995, taught at Northwestern for Fall 1995, worked at Argonne
towards subject area.**=significant differenceConclusions and Future StudyClearly, it is important to identify and research factors that impact girls’ decision to participate inSTEM classes and careers. Curriculum needs to be examined to determine if it not only raisesstudents’ test scores but also provides a stimulus to pursue a career in STEM. Researchdocumenting differences in achievement and attitudes towards STEM subjects need continuedstudy. If differences are evident, it is important to determine when those differences occurred.Without an understanding of the differences in attributes of girls and boys in STEM areas, it isdifficult to provide an equal learning opportunity for both groups.ReferencesAud, S., Hussar, W., Johnson, F., Kena, G
contexts.References[1] Le Doux, J. M., & Waller, A. A. (2016). The Problem Solving Studio: An Apprenticeship Environment for Aspiring Engineers. Advances in Engineering Education, 5(3), n3.[2] Philips, S. U. (2001). Participant structures and communicative competence: Warm Springs children in community and classroom. na.[3] Gainsburg, J. (2013). Learning to model in engineering. Mathematical Thinking and Learning, 15(4), 259-290[4] Chi, M. T., & Wylie, R. (2014). The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational Psychologist, 49(4), 219-243.
bepresented. Overall, students have moderate views of how relevant their mathematics courseworkis to their engineering studies.Overall, students had moderate to slightly positive views of the relevance of mathematics toengineering. This result appears much like a dampened version of the results from Flegg et al.’swork. There is a majority of students that believe math is relevant, but this majority is not asoverwhelmingly large as in Flegg et al.’s work [15].flegg_chart.pngFigure 1: Student survey responses to Likert scale items copied from Flegg et al.(after inconsistentitems removed).0.4 LimitationsThese studies have many limitations, outlined below: • Studies were conducted at a large, elite, research-intensive American institution. Such
argumentation supports the student’s ability toarticulate the reason for approaching a problem in a particular way, justify her/his approach byusing information and reasoning and provide the principles that establish that justification.When analyzing the students’ collective argument, teachers identify three core elements calledthe claim, data, and warrant. The claim is the statement or statements whose validity is beingestablished. The data are statements provided as support for the claims. The warrants arestatements that connect the data to the claim(s). Collective argumentation supports student-to-student or teacher-to-student discussions and allows one to trace her/his understanding of ideasand concepts as they form. While the content within the
Foundation for Education, Washington, D.C., 2009.[3] A. Radford, Military service members and veterans in higher education: What the new GI billmay mean for postsecondary institutions, New York: American Council on Education, 2009.[4] K. Meyers and B. Mertz, “A large scale analysis of first-year engineering student essays onengineering interests,” in ASEE Annual Conference and Exposition, Washington, D.C., 2011.[5] N. Canney and A. Bielefeldt, “Validity and reliability evidence of the engineering professionalresponsibility assessment tool,” J. Engineering Education, vol. 105, no. 3, pp. 452-477, 2016.[6] S. Tucker-Kulesza, G. Liang, E. Fitzsimmons, J. Zacharakis, “Work in Progress: Investigatingthe Role of Social Responsibility on Veteran Student
dimensionsBonus Category (consider project holistically)X1. Uses and/or creates innovation(s) in its specific field to achieve sustainabilityX2. Worked with experts from other disciplines to enhance process or final designThe rubric has been tested with students and their projects in order to iteratively completesubstantive validation and begin structural validation of the Sustainable Design construct,following the Benson model [2]. The first structural study was conducted in Spring 2018 with 51engineering student users for formative assessment of their preliminary capstone project work. Inaddition to individually scoring their projects, students also worked with their capstoneteammates to arrive at consensus scores for each criterion and provide
., & Fidell, L. S. (2013). Using Multivariate Statistics.
then learn more about the pumps, heat transfer and oxygenation through a series ofhands-on exercises. Finally, students investigate ways to make fluid flow and learn how fluidflow is measured and described quantitatively. Following hands-on exploration, students useonline models and animations to illustrate the “non-visible” mechanism(s) driving many of theobserved macroscopic events. Concepts of molecular motion and heat transfer are stressed,linking the online visualization to the hands-on activities. Computer-based mathematicalsimulations are utilized prior to the final design and build phase allowing students to alter avariety of design parameters and quantify their impact on the system efficiency (STEMPractices). Students then plan, build