the overall individual ecosystems developed by working groups wereanalyzed by the project evaluators to produce an initial engineering education ecosystem map,Figure 4. Figure 4: Engineering education ecosystem map.CitationsAtman, C. J., Sheppard, S. D., Turns, J., Adams, R. S., Fleming, L. N. , Stevens, R, . . . Lund , D. (2010). Enabling Engineering Student Success: The Final Report for the Center for the Advancement of Engineering Education. San Rafael, CA.Augustine, Norman R. (2013). No Place Like Home. Innovation America, 11(1).Board, National Science. (2012). Science and Engineering Indicators 2012. Arlington VA: National Science Foundation.Carlson, C. R., & Wilmot, W. W. (2006
, 31(1):21–32, 1961. [6] A. Collins. Cognitive apprenticeship. In R. Sawyer, editor, Cambridge Handbook of the Learning Sciences, pages 47–60. Cambridge University Press, 2006. [7] D. Jackson. Software Abstractions: Logic, Language and Analysis. MIT Press, 2012. [8] D. Jonassen, M. Davidson, M. Collins, J. Campbell, and B. B. Haag. Constructivism and computer-mediated communication in distance education. American Journal of Distance Education, 9, 1995. [9] S. Kumar and C. Wallace. Instruction in software project communication through guided inquiry and reflection. In Frontiers in Education (FIE). IEEE, 2014.[10] C. McDowell, L. Werner, H. E. Bullock, and J. Fernald. The impact of pair programming on student performance, perception
University of Washington and the Making Academic Change Happenpractitioners from Rose-Hulman Institute of Technology. The origin of our partnership occurredin the mid-2000’s when one individual from MACH and one individual from CERSE metthrough a different national project, and subsequently maintained a loose professionalconnection. When NSF encouraged MACH to submit a proposal focused on supporting changefor the RED program, MACH contacted CERSE and a joint proposal resulted. These first stagesof developing the partnership brought to light the expertise contributed by both groups: MACHas experts in change strategies, and CERSE as experts in qualitative research. Our initialexperiences suggested that we would work semi-collaboratively, with major
level of the learner.Cognition and Instruction, I, 451-463.14. Palincsar, A, S., & Herrenkohl, L. R. (1999). Designing collaborative contexts: Lessons fromthree research programs. In A. O'Donnell & A. King (Eds.), Cognitive Perspectives on PeerLearning (pp. 151-177). Mahwah, NJ: Erlbaum. 15. King, A. (1999). Discourse patterns for mediating peer learning. In A. M. O’Donnell & A.King (Eds.), Cognitive perspectives on peer learning (pp. 87-115). Mahwah, NJ: Erlbaum.16. King, A. (1992). Faciliating elaborative learning through guided student-generatedquestioning. Educational Psychologist, 27, 111-126.17. Swan, M., & Pead, D
.[10]. P. Chu, FPGA Design by VHDL Examples: MicroBlaze MCS SoC edition, Wiley & Sons, 2017.[11]. P. Chu, FPGA Design by SystemVerilog Examples: MicroBlaze MCS SoC edition, Wiley & Sons, to be published in September 2018.[12]. J. Corbet, A. Rubini, and G. Kroah-Hartman, Linux Device Drivers: Where the Kernel Meets the Hardware, O'Reilly Media, 2005.[13]. Digilent, Arty FPGA Board Reference Manual, Digilent, 2017.[14]. S. Monk, Programming Arduino: Getting Started with Sketches, McGraw-Hill, 2011.[15]. R. Sass and A. G. Schmidt, Embedded Systems Design with Platform FPGAs: Principles and Practices, Morgan Kaufmann, 2010.[16]. S. Sheppard, et al., Educating Engineers: Designing for the Future of the Field. Jossey
experiences focused on improving retention and graduation rate.Dr. Hossein Rahemi, Vaughn College of Aeronautics & Technology Dr. Hossein Rahemi is a professor and department chair of Engineering and Technology at Vaughn Col- lege of Aeronautics & Technology. He is the author of two books, Vaughn College Journal of Engineering and Technology (VCJET), numerous conference papers in the areas of solid mechanics, computational mechanics, vibration analysis, fracture mechanics and reliability analysis. He is also a principle investi- gator for the NSF S-STEM grant and the HIS-STEM grant and a student adviser for a number of technical papers in the areas of mechanics, robotics and industrial automation.Dr. Yougashwar
struggling students. These efforts help build the CEE Department as a place wherepositive change is happening and coupled with the research group’s efforts to disseminateknowledge, will lead the transformation of the College of Engineering.AcknowledgmentsThis material is based upon work supported by the National Science Foundation underIUSE/PFE:RED Grant No. 1632053. 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.References 1. C.S. Slater, T.R. Chandrupatla, R.A. Dusseau, J. L. Schmalzel, (1996). “Development of multifunctional laboratories in a new engineering school,” ASEE Annual Conference and
classroom strategy to foster social responsibility," Science and Engineering Ethics, vol. 12, no. 1, pp. 373-380, 2006.[9] K. Meyers and B. Mertz, "A large scale analysis of first-year engineering student essays on engineering interests," in ASEE Annual Conference and Exposition, Washington, D.C., 2011.[10] J. H. Pryor, K. Eagan, L. P. Blake, S. Hurtado, J. Berdan and M. Case, "The American Freshman: National Norms Fall 2012.," Cooperative Institutional Research Program at the Higher Education, Los Angeles, 2012.[11] N. A. o. Engineering, "Changing the conversation: Messages for improving public understanding of engineering," National Academies Press, Washington, D.C., 2008.[12] G. Hein and A. Kemppainen, "First-year
foundation engineering, unsaturated soil mechanics, geoenvironmental engineering, advanced soil mechanics, and soil dynamics. His expertise is in innovative levee testing and protection, bio-mediated ground improvement, sustainable infrastructure and geo-environmental area. He has been PI of more than fourteen major research grants from federal and state agencies with total funding amounts of $3.6 Million. Dr. Li is the author or co-author of more than 87 peer-reviewed published articles. He got numerous faculty excellence award and Richard S. Ladd Standards Development Award from ASTM.Dr. Jianjun Yin, Jackson State University Jianjun Yin, Ph.D, is Professor of Education in the Department of Elementary and Early Childhood
educators of K-12 teachers of engineering and their learning needs.AcknowledgementThis work was supported by the National Science Foundation (NSF) Division of EngineeringEducation & Centers (ENG/EEC) via grant EEC-1540253. 5 References[1] E. R. Banilower, P. S. Smith, K. G. Malzahn, C. L. Plumley, E. M. Gordon, and M. L. Hayes, “Report of the 2018 NSSM+,” [Online]. Available: http://horizon-research.com/NSSME/wp- content/uploads/2019/06/Report_of_the_2018_NSSME.pdf [accessed January 31, 2020]. [2] NGSS Lead States, Next Generation Science Standards: For States, By States. Washington: National
mentorship into account, could be performedwith both the research faculty and their graduate students. Sharing their passion for research withtheir graduate students and the public may have an impact especially on traditionallyunderserved or underrepresented populations in STEM, engaging them in a new and interestingway.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 the views of the National ScienceFoundation.References[1] B. Fischhoff, “The sciences of science communication,” Proc. Natl. Acad. Sci., vol. 110, no. Supplement_3, pp
as evaluator of three NSF grants awarded to New York Institute of Technology (NYIT), College of Engineering and Computer Science. She is recently retired as Associate Professor and Chair of Instructional Technology and Ed- ucational Leadership graduate programs at NYIT School of Education. Dr. McPherson has experience in national and international projects, such Social Media in Education in Abu Dhabi, UAE; Develop- ing Learning Objectives and Assessment Strategies in Curriculum for Cleaner Production for a US State Department project in Latin America; Technology Enriched Instruction Microsoft Teacher Education Ini- tiative Faculty Workshop Series at several locations worldwide, UNESCO meeting in Thailand, S. Korea
inclusive communities.AcknowledgementThis work was supported through a grant from the National Science Foundation (Award: NSFIUSE/PFE:RED # 1730576). Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References[1] L. Benson, A. Kirn, and C. J. Faber, “CAREER: Student Motivation and Learning in Engineering,” Paper presented at 2014 ASEE Annual Conference & Exposition, Indianapolis, Indiana. https://peer.asee.org/20152, 2014.[2] G. Crisp, and I. Cruz, “Mentoring college students: A critical review of the literature between 1990 and 2007,” Research in Higher Education, vol. 50, no
Decision-Making CompetencyInventory for publication and are examining the relation between it and engineering major choiceand persistence. A prototype Academic Dashboard has been created and we continue to add andimprove functionality. The prototype of the Academic Dashboard will also be user-tested toidentify coding errors and other areas for improvement with the user interface.References[1] M. K. Orr, R. K. Anderson, and M. L. Rucks, “Work in Progress: Developing a Procedure for Identifying Indicators of ‘Overpersistence,’” in Proceedings of the American Society for Engineering Education Annual Conference & Exposition, 2017.[2] K. M. Ehlert, M. K. Orr, and S. J. Grigg, “WIP: What’s Your Major? First-Year Engineering
activities, mayadvance inclusion of under-represented populations in engineering pathways.Acknowledgements This material is based upon work supported by the National Science Foundation underGrant No. 1744539. Any opinions, findings, and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect the views of the NationalScience Foundation.References[1] Engineering Projects in Community Service (EPICS) High. Purdue University, West Lafayette, IN. 2018. Available online: https://engineering.purdue.edu/EPICS/k12 (accessed on 5 December 2018).[2] Capiobianco, B.M., French, B.F., & Diefes-Dux, H.A. (2012). Engineering identity development among pre-adolescent learners
they experiencedin the university context. It provided these students the opportunity to explore their professionaloptions and a safe space to consolidate their personal and professional identities and attain asense of coherence.AcknowledgementsSupport for this research by the NSF Division of Engineering Education and Centers awardnumber 1640553 is gratefully acknowledged.[1] H. Tajfel, Human groups and social categories: Studies in social psychology. Cambridge, UK: Cambridge University Press, 1981.[2] H. Tajfel and J. C. Turner, "The Social Identity Theory of Intergroup Behavior," in The psychology of intergroup relations S. Worchel and W. G. Austin, Eds. Chicago, IL: Nelson-Hall, 1986, pp. 7-24.[3] U
cataloging YouTube problems is appreciated. This material is based uponwork supported by the National Science Foundation under Grant No. DUE 1712186. Anyopinions, findings, and conclusions or recommendations expressed in this material are those of theauthor(s) and do not necessarily reflect the views of the National Science Foundation. This workwas completed within the framework of University of Toledo IRB protocol 202214.Bibliography1. Zax, D., Learning in 140-Characters Bities. ASEE PRISM, 2009: p. 1-3.2. Bullard, L.G., The case against the use of solution manuals. Chemical Engineering Education, 2013. 47: p. 73.3. Lang, J.M., Small Teaching: Everyday Lessons from the Science of Learning. 2016: John Wiley & Sons.4
131 15311.6 15311.6 116.9 Total 138 17026.9 S = 10.8112 R-Sq = 10.07% R-Sq(adj) = 5.27% Table 3. ANOVA Results on Outcome 4.4 with GPA Groups as Independent Variables. The table below shows the means and BL and EXP scores for all GPA groups. From thesemeans, the source of the interaction is fairly clear: Group 2 scores actually went down from theBL to the EXP groups, and Group 3 scores went up. GPA group BASELINE EXPERIMENTAL 1: 3.5-4.0 92.1 (n=37) 94.65 (n=23) 2: 3.0-3.4 92.79 (n=16) 87.63 (n=23) 3: 2.5-2.9 83.08 (n=15) 93.33 (n=15
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from one college, however analysis of faculty lesson plans separated by college hasnot yet been conducted. What can be seen are the ways that this group of faculty have integratedmaker-centered learning into their diverse courses. The considerable diversity in strategiesimplemented could be a result of both the diversity of faculty as well as the course topics.Acknowledgements This material is based upon work supported by the National Science Foundation underGrant No. EEC 1531375. Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views ofthe National Science Foundation.References[1] H. (2018, September). Why did Maker Faire start? And, what
for Faculty Development,” J. Eng. Educ., vol. 99, no. 2, pp. 121– 134, Apr. 2010.[5] M. S. Garet, A. C. Porter, L. Desimone, B. F. Birman, and K. S. Yoon, “What Makes Professional Development Effective? Results From a National Sample of Teachers,” Am. Educ. Res. J., vol. 38, no. 4, pp. 915–945, Dec. 2001.[6] C. J. Berger and V. Berger, “Academic Discipline: A Guide to Fair Process for the University Student,” Columbia Law Rev., vol. 99, no. 2, pp. 289–364, 1999.
, B., Lane, J. L. (2005). The dynamics concept inventory assessment test: A progress report and some results. Proceedings of the 2005 ASEE Annual Conference and Exposition, Portland, OR.[5] Streveler, R. A., Litzinger, T. A., Miller, R. L., Steif, P. S. (2008). Learning conceptual knowledge in the engineering sciences: Overview and future research directions. Journal of Engineering Education, 97 (3):279-294,.[6] Flori, R. E., Koen, M. A., Oglesby, D. B. (1996). Basic Engineering Software for Teaching (BEST) dynamics. Journal of Engineering Education, 85(1), pp. 61-67.[7] N. Fang, Y. Guo. (2016). Interactive computer simulation and animation for improving student learning of particle kinetics. Journal of Computer Assisted
(students working in teams to compete Lego car assembly) will engage many of my students.” “The simulation is designed to represent craft production from the late 1800's. Students will be excited about its game style learning opportunities.” “Students like to get hands on with research. They will get the opportunity to use a CNC machine and cut many samples. We will then be able to collect data on those samples using a clamp-on Amp meter and a light sensor. Due to the fact that they were the ones that cut the samples, I think they will take more ownership on the data collection portion and get better results.”5. ConclusionsManufacturing simulation is an effective technique to teach the basic
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Characterize Differences Between Engineering Majors. Proceedings of the ASEE/IEEE Frontiers in Education Conference, Oklahoma City, OK. 13. Faber, C., Grigg, S., Kirn, A., Chasmar, J. and Benson, L. (2014). Engineering Student Motivation and Perceived Metacognition in Learning Communities. Proceedings of the 2014 ASEE Annual Conference, Indianapolis, IN. 14. Kirn, A. and Benson, L. (2015). Engineering Students’ Perceptions of the Future: Exploratory Instrument Development, Proceedings of the ASEE 2015 Annual Conference, Seattle, WA.15. Benson, L. and Borrego, M. (2015). Guest Editorial: The Role of Replication in Engineering Education Research. Journal of Engineering Education, 104(4):388–392.16
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is Professor of Education in the College of Education and Human Develop- ment at George Mason University, USA. She is an educational researcher and pedagogical scholar with signature work in self-study research methodology including co-editor of Polyvocal Professional Learn- ing through Self-Study Research (2015) and author of Self-Study Teacher Research (2011) and lead editor of Learning Communities In Practice (2008). She is recipient of the Dissertation Research Award, Uni- versity of Virginia, the Outstanding Scholar Award, University of Maryland, a Fulbright Scholar, and a Visiting Self-study Scholar. She served as chair of S-STEP from 2013-2015 and is a current Co-PI of two National Science Foundation (NSF
, I’ll be like,alright, I’m never doing this again. Like I try it, I mess up, and you know what, forget it, I quit.But like I just learned to just stick with something all the way through, try a little harder. Itshows result[s].”Cyrus’s claim here is that the experience helped to develop persistence, broadly. He elaboratedon this by giving an example from school, where he persisted on a difficult presentationassignment that normally would have prompted to quit:“I was doing it, I kept getting stuck, you know. So I just took a break really fast because mybrain was fried from irritation and stress. And you know, I finished it, and I’m glad I did, and atfirst I was like, ‘Look, dude [to his partner], you’re going to have to do it.’ But you know