and immediately start moving towards the next point.As a result the shapes drawn looked deformed. Figure 20 shows a sample drawing from one ofthe teams displaying the word “Hi.”This error cause frustration which is reflected in the surveys the students took at the end of thecamp. However even the distorted drawing they were able to produce resulted in the studentsdisplaying great excitement. Other factors such as a weak grip on the pen and physical play inthe arm’s joints also produced distortion however the students seamed to understand thesecharacteristics. Figure 20: a sample drawing from one of the arms where the arm drew the word “Hi.”The best way to find errors or weaknesses on a software product is to give it to a set of
theseconnections and to support the personal development of teamwork and communication skills thatare so valuable in today’s academic and non-academic workplaces.AcknowledgementsThis study is based upon work supported by the National Science Foundation under anInnovation Though Institutional Integration grant (NSF # 0963659, Martin Schimpf, PI). Anyopinions, findings, and conclusions or recommendations expressed in this paper are those of theauthors and do not necessary reflect the views of the National Science Foundation. We alsogratefully acknowledge the students who participated in the Summer Research Community, andthe faculty and staff from the following projects at Boise State University who organized theSummer Research Community: NSF REU Program in
done withoutopportunities for reflection and metacognition have missed the opportunity to create deeperunderstanding [17]. Shavelson, et al. [20] refer to four different types of knowledge: declarativeknowledge (“knowing that”), procedural knowledge (“knowing how”), schematic knowledge(“knowing why”), and strategic knowledge (“knowing when, where, and how our knowledgeapplies”). This framework provides a useful way of evaluating laboratory experiences; what istypically termed “inquiry based laboratory exercises,” are ones that reach the higher levels of theknowledge taxonomy [12]. Pre-labs and other types of preparation are also important as identifiedin Kolb’s experiential learning cycle [21] and [18]. Without “just in time” lectures and pre
need, meanwhile drawing upon the insights of non-engineeringclassmates to weigh technology against culture, cost, educational capabilities and operationalrequirements.Throughout the process, students are required to reflect on the process as well as on theirsuccesses and struggles. Comments from students over the three years of the course are used tohighlight specific learning outcomes. ● “Perhaps my view was too idealistic at the start of the course, but I am now at least aware that despite the best of intentions, many factors have to be well thought out before a large-scale project can help those in need sustainably. Furthermore, I am now aware of practical ways to account for the needs of project beneficiaries and ensure these
. Examples of Open-Ended Responses from Participants Career opportunities after tenure. Possibly small group discussions focusing on pros and cons of each path. How to build a sustainable research program. Pitfalls of Industry/Academic Collaboration; How to build network across Industry R&D How to be an effective Academic Leader? Lab management as opposed to student management. Bridging the divide between secondary and higher ed. How faculty can best prepare for and serve disparate populations, gearing new students for success in college and beyond. More workshops on building community for underrepresented faculty.Table 3: Examples of open-ended responses from COE Faculty Development program participants7. Reflections and Lessons Learned
will help users engaged inenvironmental monitoring to access environmental data and perform analysis. This programmingwill include tracking these users and finding their navigational paths through the user interface.These REU projects are intended to extend the current system of the lab.AcknowledgementThe authors would like to thank various undergraduate and graduate students who assisted in thedevelopment and implementation of the LEWAS lab at Virginia Tech. We acknowledge thesupport of the National Science Foundation through NSF/REU Site Grant EEC-1359051. Anyopinions, findings, and conclusions or recommendations expressed in this paper are those of theauthor(s) and do not necessarily reflect the views of the National Science
demand STEM careers.AcknowledgementThis material is supported by the National Science Foundation under DUE Grant Numbers 1501952and 1501938. Any opinions, findings, conclusions, or recommendations presented are those of theauthors and do not necessarily reflect the views of the National Science Foundation.References1. Coleman, N., and Ford, M., 2014, "North Dakota and Texas now provide half of U.S. crude oil production," Today in Energy, July 1, http://www.eia.gov/todayinenergy/detail.cfm?id=16931 (Retrieved on July 25, 2014)2. Texas Wide Open for Business, 2013, "Manufacturing in Texas," TexasWideOpenforBusiness.Com, http://www.governor.state.tx.us/files/ecodev/Manufacturing_in_Texas.pdf (Retrieved on July 25, 2014)3. Modine, J
Cooperation in the College Classroom,”Edina, MN: Interaction Book Company.10. Fairhurst, A.M., & Fairhurst, L.L. (1995), “Effective Teaching, Effective Learning,” Palo Alto, CA: Davies-black Publishing11. Dale, E. (1969), “Audiovisual Methods in Teaching,” (3rd ed.), New York: Dryden Press.12. Wankat, P.H. (1999), “Reflective Analysis of Student Learning in a Sophomore Engineering Course,” Journal ofEngineering Education, Vol.88, (no.2), 195 -203.13. Finelli, C., Klinger, A., & Budny, D.D. (2001), “Strategies for Improving the Classroom Environment,” Journalof Engineering Education, Vol 90, (no.4), pp. 491-497.14. Smith, K.A., Sheppard, A.D., Johnson, D.W. & Johnson, R.T. (2005), “Pedagogies of Engagement: Classroom-Based Practices
“This has been an incredibly rewardingexperience and has made me a better leader.” Also, upon reflection of these programs theSCTCS has developed these key takeaways for other programs interested in implementingsimilar programs: take ownership of your program, start planning early, identify key outcomesand deliverables, pilot curriculum if possible, and remain flexible.iii. Teaching and Learning Tuesdays Opportunities exist for professional development on a broader level. Approximately 350part-time and full-time faculty and staff have been trained over the past academic year throughthe Teaching and Learning Tuesdays (TLT) Series. TLTs provide monthly online programmingfocused on new and innovative ways to incorporate technology into
reflect the academic training of one of this paper’sauthors, which included a B.S. degree in mechanical engineering, a Ph.D. in metallurgy, andpost-doctoral experience in solid state physics. Table 2 shows a week-by-week class schedule ofENGR 1002 and the engineering topics:Table 2. A Weekly Class Schedule of ENGR 1002 and Engineering TopicsWeek Class Schedule Engineering Topics CommentsWeek 1 Course Overview and Engineering units and unit Address a common student Units Conversion mistake: (ab)x≠abx or axb but = axbxWeek 2 Algebraic Expression Definition and algebraic
upon one another in physical space during the printing process. This additive processof layering is a particular technological advantage of 3D printing: because 3D prints do notrequire a mold to produce, additive manufacturing processes allow for the creation of single-castobjects with more intricate and diverse topologies than industrial injection-molding processes.These new kinds of solid-shape designs have already made impacts across both engineering36 andthe arts.37This cross-colonization of multiple disciplines by 3D printing is reflected by themes of hybridityin the rhetoric surrounding the technology. Both photosculpture and 3D printing werecontextualized as a creative hybrid of human and machine, though with very different
or recommendations expressed in this material are those of theauthors and do not necessarily reflect the views of the National Science Foundation.References [1] Rakesh Agrawal, Anastasia Ailamaki, Philip A. Bernstein, Eric A. Brewer, Michael J. Carey, Sura- jit Chaudhuri, AnHai Doan, Daniela Florescu, Michael J. Franklin, Hector Garcia-Molina, Johannes Gehrke, Le Gruenwald, Laura M. Haas, Alon Y. Halevy, Joseph M. Hellerstein, Yannis E. Ioan- nidis, Hank F. Korth, Donald Kossmann, Samuel Madden, Roger Magoulas, Beng Chin Ooi, Tim O’Reilly, Raghu Ramakrishnan, Sunita Sarawagi, Michael Stonebraker, Alexander S. Szalay, and Ger- hard Weikum. The claremont report on database research. SIGMOD Record, 37(3):9–19, 2008. [2
Engineering Education.21. Huff, J. L., Smith, J. A., Jesiek, B. K., Zoltowski, C. B., Graziano, W. G., & Oakes, W. C. (2014). From methods to methodology: Reflection on keeping the philosophical commitments of interpretative phenomenological analysis. 2014 IEEE Frontiers in Education Conference (FIE) Proceedings.22. Smith, J.A., Flowers, P., Larkin, M. (2009). Interpretative Phenomenological Analysis: Theory, Research, Practice. London: Sage.23. Godwin, A., Potvin, G., Hazari, Z., & Lock, R. (2013). Understanding engineering identity through structural equation modeling. 2013 IEEE Frontiers in Education Conference (FIE).24. Hazari, Z., Sonnert, G., Sadler, P. M., & Shanahan, M. (2010). Connecting high school physics
pursue engineering. Figure 4 details the responses students provided. Somestudents selected multiple categories, and Figure 4 depicts the percentage each category wasselected by 37 participants. Here, it is again clear that altruistic tendencies are a majorcontributing factor to the female students’ desire to pursue engineering, in agreement withprevious literature. It also appears that students’ interests played a major role in their decision topursue engineering. This finding may reflect students’ desire to choose careers that arepersonally meaningful, which has also been demonstrated in literature as a relevant factor infemale students’ career decisions.14 Figure 4: Percentage of participants’ motivation to become
expressed in this material are those of theauthors and do not necessarily reflect those of the National Science Foundation.References 1. Schmeckpeper, E. R., & Ater Kranov, A., & Beyerlein, S. W., & Pedrow, P. D., & McCormack, J. P. (2015,June), Using the EPSA Rubric and EPSA Score to Evaluate Student Learning at the Course and Program Level,2015 ASEE Annual Conference and Exposition, Seattle, WA.2. Loendorf, W. (2009, June), The Case Study Approach to Engineering Ethics, 2009 American Society forEngineering Education Annual Conference and Exposition, Austin, TX.3. Davis, M., & Feinerman, A. (2012, June). Assessing graduate student progress in engineering ethics. Science &Engineering Ethics, Vol 18, Issue 2, pp 351-3674
civilengineering profession. Creative learning activities are needed to translate outcomes frominternational learning experiences to serve the local professional market.A key broader impact of the project is the development, testing, and refinement of techniques toefficiently and effectively assess a broad definition of global learning in civil and environmentalengineering programs. The baseline study presented herein used three measures. Reflection onthe measures combined with reviewer comments indicates a direct measure of student learningremains a key missing component, but one that requires a much more significant effort.However, the use of the GCI and CQ survey has not been tested in the Department of Civil andEnvironmental Engineering at the
. Davis. Using strengths of first-year engineering students to enhance teaching. In Proceedings of the 122nd ASEE Annual Conference and Exposition, Seattle, WA, June 2015. [7] Matthew Meyer and Sherry Marx. Engineering dropouts: A qualitative examination of why undergraduates leave engineering. Journal of Engineering Education, 103(4):525–548, 2014. [8] Kerry L. Meyers, Stephen E. Silliman, Natalie L. Gedde, and Matthew W. Ohland. A comparison of engineering students’ reflections on their first-year experiences. Journal of Engineering Education, 99(2):169–178, 2010. [9] David E. Goldberg and Mark Somerville. The making of a whole new engineer: Four unexpected lessons for engineering educators and education researchers. Journal of
metropolitan public university, designatedas High Doctoral Research by the Carnegie Foundation are also be participating. Studies at thissecond location are focusing on impact of teaching function on capstone design quality. Resultsof these studies are forthcoming.AcknowledgementsThis work is supported by the National Science Foundation through grants 1525449, 1525170,and 1525284. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of National Science Foundation.References1. Pahl G, Beitz W, Feldhusen J, Grote KH. Engineering Design: A Systematic Approach. 3rd ed: Springer Verlag; 2007. 2
provided strong evidence of validity for the EPRA tool from someof the interview cases examined.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 ABET, "Criteria for Accrediting Engineering Programs Effective for Evaluation During the 2015-2016 Accreditation Cycle," ABET Engineering Accreditation Commission, Baltimore, MD, 2014.2 L. J. Shuman, M. Besterfield-Sacre and J. McGourty, "The ABET "Professional Skills" - Can They Be Taught? Can They Be Assessed?," Journal of
program,” in Proc. of the 3rd Annual Conference of the LTSN Centre for Information and Computer Sciences, 2002, vol. 4, pp. 53–58.[14] M. J. Scott and G. Ghinea, “Educating programmers: A reflection on barriers to deliberate practice,” in Proc. 2nd HEA Conf. on Learning and Teaching in STEM Disciplines, 2013, p. 028P.[15] zyBooks “Programming in MATLAB”, https://zybooks.zyante.com/#/catalog , accessed Jan. 30, 2016.[16] Learning Catalytics from Pearson, https://learningcatalytics.com/ , accessed Jan. 30, 2016.
accuracy. That is, the focus is on increasing familiarity with energy literacy bythe students examining energy concepts rather than deep and exact technical knowledge. Asimple example of this would be a high score for the technical dimension for a group proposing aperpetual motion machine (considered impossible under the current theories of physics), but whostill identify, discuss, and examine important concepts of energy and motion.Transitioning into rating, the session leader covered five posters from the 2014 ImagineTomorrow competition, by showing the posters to the raters and explaining what scores might begiven and why. These posters were chosen to reflect a range of quality. The session leader hadrated two sets of posters in the past and
ways to prepare for obtaining acompetitive first co-op assignment. What experiences can a student engage in before obtainingthat first co-op that will begin to build work self-efficacy? The answer to this question couldalso benefit those at engineering schools with less developed co-op programs.AcknowledgementsThis material is based upon work supported by the National Science Foundation under GrantGSE 0827490. The researchers wish to express their gratitude for the support of this project. Anyopinions, findings, and conclusions or recommendations expressed in this material are those ofthe authors and do not necessarily reflect the views of the National Science Foundation.References1 Raelin, J. A., Bailey, M. B., Hamann, J., Pendleton, L. K
focused on and explicit about the desired learningoutcome. For instance, such a case may present the scenario of a satellite antenna that did notdeploy properly due to a single technical flaw. The focus of this case narrowed and case may notlook beyond the lone conclusion related to the technical flaw. In contrast, an analysis of a casestudy about the Deepwater Horizon accident yields more insight into engineering design than asingle answer to why the failure occurred.The case study approach provides course participants with the opportunity to apply their criticalthinking skills to each scenario and exercise non-analytical insight as part of the design process.Ultimately, the methodology reinforces the practice of reflection upon past successes
waseither the same or even better compared to traditional and hybrid models. This fact almost lookslike a negative correlation between the students' feedback and their actual performance in theclass. During 2013-15 class offerings, there was more time devoted to the interactive activitiesbetween the faculty-students and students-students. This means that even less time was devotedto the theoretical material normally presented in the traditional lectures and students were"forced" to spend even more time studying. The reflection of this is the best students'performance - 83%/88%/80 average and 10%/8%/13.8% standard deviation in the final examsconducted during 2013-15 period. The grade distribution demonstrates that the number of A andAB students is
) between students’ use of representations in each stageand the respective scores. One exception was the configuration step, where the score was well correlatedwith the amount of representations used. The correlation resulted in a value of .52 (p-value = .002) for theconfiguration step. To evaluate the effects of each type of representation on this score, we performed amultiple linear regression. Equation (1) describes the model used to predict students’ score on theconfiguration step (SC) based on the numbers of images, plots, tables, equations, calculations, and charts.Results reveal a significant effect of the use of equations on this stage (p-value < 0.016). No other type ofrepresentation had significant effect. This fact could reflect the
Class by RaceDetermining New Admission RulesThe URS classes created in this study can be used to derive a new support system of admissionsat our University. Table 6 shows an example that illustrates how the URS classes can be used tosimulate the enrollment of underrepresented applicants. This example does not reflect ouruniversity’s standards or the ACT scores of our applicants and it is merely a hypotheticalscenario.Here we are assuming that our hypothetical university is currently using a minimum ACT of 27to admit all its applicants regardless of their URS classes. We would like to know how thisadmission policy can be modified based on the generated URS classes’ information. Table 6shows the modification process. First, for each URS class we
majoruniversities are lower: 20% at Ohio State,3 27% at UT Austin,4 24% at NYU,5 26% at UCBerkeley,6 and 28% at Georgia Tech.7 It is suspected that the low enrollment numbers are aresult of social issues and curricular policies. While social change is outside the scope of highereducation faculty control, curriculum changes can be used to encourage women as well as retainthem in engineering programs.There is evidence that certain curriculum practices are more enticing to women and motivatethem to stay in engineering. Strategies to attract women to engineering have included teamwork,service projects, and social impacts of engineering projects. These strategies reflect the higherpercent of degrees awarded to women in areas like environmental and biomedical
,identifying design requirements and functions for the expected solution, developing andevaluating design concepts, developing a baseline solution and project plan, and meeting theirproject plan milestones. Table 1 lists all the projects titles student teams pursued as part of thesecond project. They represent a wide range of applications, which reflect different studentinterests. Table 1. Project Titles Interactive Maps Bike Rack Drip Irrigation Automated Animal Feeder SeKure Bike Bust Stop Awning Smart Lifejacket F.L.O.P. Board-Based Transportation Lock Methane Collection Box
or recommendationsexpressed in this material are those of the authors and do not necessarily reflect the views of theNational Science Foundation. The authors also wish to thank the reviewers for their comments,which were helpful in improving the final version of the paper.Bibliography[1] P. J. Parker, M. W. Roberts and M. K. Thompson, "Work in progress — Assessment and pilot delivery of an introduction to infrastructure course," in Proceedings of the 2010 Frontiers in Education Conference, Washington, DC, 2010.[2] M. W. Roberts, P. J. Parker, M. K. Thompson and B. A. Barnet, "Development of an Introduction to Infrastructure Course," in Proceedings of the 2011 ASEE Annual Conference, Vancouver, Canada, 2011.[3] M. R. Penn, P. J
their experience.Summary and “Next STEPS”The reconstruction of the STEPS program was essential to recruit underrepresented students. Thenew format was well received and shows great promise. Key lessons learned in delivering thenew curriculum and key lessons learned in extending the population participating in the informalengineering outreach program will be incorporated in successive offerings of the program. Therevamped 2015 STEPS offering follows a 2014 STEPS offering in which the content anddelivery of STEPS was significantly updated to reflect current pre-college science andengineering education research. Specifically, engineering design, engineering practices,engineering habits of mind, and best practices for engineering career exploration