strongleaders and strong engineers.T ABLE 1 : S AMPLE S URVEY Q UESTIONS Survey Sample Question Focus CodesectionPart 1: Age: 20-29; 30-39; 40-49; 50-59; 60+ Self Demographics (AgeDemographics Category)Part 2: As a student, when dreaming about my future, I Self Time (student)Student imagined doing technically complex work. Situationexperiences (1 never, 2 rarely, 3 occasionally, 4 frequently, 5 (aspiration/satisfaction
; Exposition, Indianapolis, IN, 2014.[9] M. Stickel, S. Hari and Q. Liu, "The Effect of the Inverted Classroom Teaching Approach on Student/Faculty Interaction and Students' Self-Efficacy," in Proceedings of the ASEE Annual Conference & Exposition, Indianapolis, IN, 2014.[10] J. L. Bishop and M. A. Verleger, "The Flipped Classroom: A Survey of Research," in Proceedings of the ASEE Annual Conference & Exposition, Atlanta, GA, 2013.[11] N. K. Lape, R. Levy, D. H. Yong, K. A. Haushalter, R. Eddy and N. Hankel, "Probing the Inverted Classroom: A Controlled Study of Teaching and Learning," in Proceedings of the ASEE Annual Conference & Exposition, Indianapolis, 2014.[12] H. Jia, "The Student Life," The Associated Students of
. Educational Theory 45 (2): 1-22.26. Giffney, N. (2009). Introduction: The “q” Word. In N. Giffney, ed., The Ashgate Research Companion to Queer Theory (pp. 1-13). Farnham, Surrey, UK: Ashgate Publishing27. Adams, R.S., et al. (2011). Multiple Perspectives on Engaging Future Engineers. Journal of Engineering Education 100 (1): 48-88.28. Davis, L. J. (2014). Disabilities Studies Reader, 4th Edition. New York: Taylor & Francis.29. Shapin, S. and Schaffer, S. (1985). Leviathan and the Air-Pump. Princeton, NJ: Princeton University Press.30. Slaton, A.E. (2010). Race, Rigor and Selectivity in US Engineering: The History of an Occupational Color-Line. Cambridge, MA: Harvard University Press.31. Bennett, J. (2010). Vibrant Matter: A Political
. Organizational Research Methods, 6, 465-481.[50] Lindlof, T. R. & Taylor, BC (2002). Qualitative communication research methods.[51] Wasserman, S., & Faust, K. (1994) Social Network Analysis: Methods and applications. Cambridge, England: Cambridge University Press.[52] Zhu, Q., Zoltowski, C. B., Feister, M. K., Buzzanell, P. M., Oakes, W. C. & Mead, A. D. (2014). The development of an instrument for assessing individual ethical decisionmaking in project-based design teams: Integrating quantitative and qualitative methods. To appear in Proceedings of the American Society for Engineering Education Annual Conference & Exposition, Indianapolis, IN.[53] Hatch, J. A. (2002). Doing qualitative research in education settings
metacognition in natural settings. Proc. - Front. Educ. Conf. FIE 730–732 (2013). doi:10.1109/FIE.2013.668492231. Walther, J., Sochacka, N. W. & Kellam, N. N. Quality in interpretive engineering education research: Reflections on an example study. J. Eng. Educ. 102, 626–659 (2013).32. Bloom, B. S. et al. Taxonomy of educational objectives: The classification of educational goals: Handbook I, cognitive domain. New York 16, 207 (David McKay Company, 1956).33. Owens, R. J. Q. & Pauk, W. How to Study in College. (Cengage Learning, 2013).34. Bean, C. H. The Curve of Forgetting. (Press of the New era printing Company, 1912).35. Finkenbinder, E. O. The Curve of Forgetting. Am. J. Psychol. 24, 8–32 (1913).36. Latham, G. P
1 u 2 u v2 dq 2 2 1 p 2 dp (21) Page 26.1273.8 1 o2 owhere o tan o is the projection slope. For the initial conditions stated in Eqs. (16) and (17),observe that v 1 when u o , and also recognize that p and q are merely dummy variablesof integration. After the indicated operations are performed, Eq. (21) yields
in the Laboratory: Comparison of industrially situated virtual laboratories to capstone physical laboratories. Journal of Engineering Education, 100(3) 540-573.8. Steadman, R. H.; Coates, W. C.; Huang, Y. M., et al (2006) Simulation-based training is superior to problem-based learning for acquisition of critical assessment and management skills. Critical Care Medicine, 34(1) 151-157.9. Curtin, L. B.; Finn, L. A.; Czosnowski, Q. A.; Whiman, C. B. and Cawley, M. J. (2011) Computer-based simulation training to improve learning outcomes in mannequin-based simulation exercises. American Journal of Pharmaceutical Education, 75(6) 1-6.10. De Jong, T. & Van Joolingen, W. (1998) Scientific discovery learning with computer
answer categories below, which arevisualized in Figure 10: 1. More forms of active feedback or direct contact between client and project teams, 2. More definition and data prioritization at the beginning of the project, 3. Client involvement in project team formation, and 4. No change needed.Over half of the responses made it clear that more consistent communication and more optionsfor communication between the project team and the client were desired. One student suggested,“Offer maybe a Q&A conference call once a month or every other week to begin the project andoffer that human interaction to help reduce any confusion with people. I felt like some of theanswers given in the email didn't always get answered right away.”Figure
Society of Engineering Education Annual Conference, Atlanta, GA.9. Vaz, R., Quinn, P., Heinricher, A., & Rissmiller, K. (2013, June). Gender Differences in the Long-Term Impacts of Project-Based Learning. Paper presented at the American Society of Engineering Education Annual Conference, Atlanta, GA.10. Vaz, R., & Quinn, P.. (2014, October). Long Term Impacts of Off-Campus Project Work on Student Learning and Development. Paper presented at the Frontiers In Education Conference, Madrid, Spain.11. Patton, M. Q. (1990). Qualitative evaluation and research methods (2nd ed.). Newbury Park, CA: Sage.12. Landivar, L. C. (2013). The Relationship Between Science and Engineering Education and Employment in STEM
/508.pdf 4. National Academy of Engineering. The Engineer of 2020: Visions of Engineering in the New Century. Washington, DC: National Academies Press; 2004. 5. Qazi, S., Khalid. A., and Malik, Q., Incorporating New Trends and Teaching Methodologies: Improving State of Engineering Education in Pakistan. Proceeding of ASEE Annual Conference, Atlanta, GA, June 2013. 6. http://www.pec.org.pk/ 7. Skinner, E. A., and Belmont, M. J., Motivation in the class room: Reciprocal effects of teacher behavior and student behavior across the school year. Journal of Education Psychology, 85(4), 1993 8. Kuh, G. D., Cruce, T. M., Shoup, R., Kinzie, J., and Gonyea, R. M., Unmasking the Effects of Student Engagement on
challenging team scenario of engineering students attempting to worktogether. During this activity, the actors and actresses manifest common difficulties onengineering teams, including gender dynamics, miscommunications, misunderstandings, andother frustrations that emerge from teamwork. Afterwards, the facilitator leads a discussion withthe students, including a Q&A session between students and the actors and actresses in character.The interactive theater sketch ends with an invitation for the audience to brainstorm strategies toimprove interactions within teams. The actors/actresses then re-enact their scenario, butincorporate the suggested strategies to improve their synergy. Findings suggest that theinteractive theater sketch can help
School Team to Use LEGO Robots to Teach Physics”. 2010 ASEE Annual Conference and Exposition, June 20-23, 2010. Louisville, KY. 9. Soares Jr., L. R., Casanova Alcalde, V. H., “A Laboratory Platform for Teaching Computer Vision Control of Robotic Systems”, 38th ASEE/IEEE Frontiers in Education Conference, October 22-25, 2008, Saratoga Springs, NY. 10. You, Y., “Development of a New Curriculum for Robotics Interfacing Engineering”, 2008 ASEE Annual Conference and Exposition, June 22-25, 2008. Pittsburgh, PA. 11. Sklar, E., Parsons, S., Azhar, M. Q., “Robotics Across the Curriculum”, In AAAI Spring Symposium on Robots and Robot Venues: Resources for AI Education, 2007. 12. Padir, T., Gennert, M.A
pressure head, Qd for flowrate, and one called sigma forcavitation potential. Figure 22: Prototype Kaplan Turbine (left)27, Model-size turbines (right) Page 26.33.232.5.2 Scaled-Up Bullets – provides an example of scale modelling and promotes discussionof modelling pitfalls The students at the author’s institution are required to complete a project at the end oftheir Fluids laboratory course and many ask to use the wind tunnel to do scale modeling. Mostof the time, this is not practical because the students want to scale down cars or other largeobjects and this means they need to scale up the velocity beyond the capabilities of the
ABET, “2014-2015 Criteria for Accrediting Engineering Programs”, ABET Engineering Accreditation Commission, Baltimore, MD, 2013. Page 26.735.157 DeTurrisa, Dianne, Jane L. Lehr, James M. Widmann, Lily Hsu Laiho, Fred W. DePiero, and Zoe Wood, “Comparative Assessment of Scaled Global Engineering Initiatives”, ASEE International Forum Proceedings, 2014, 1-10.8 Fink, L. D, Creating Significant Learning Experiences:An Integrated Approach to Designing College Courses, Jossey-Bass, San Francisco, CA, 2003.9 Zhang, Q., J.B. Zimmerman, J.R. Mihelcic, L.D. Vanasupa, “Civil and Environmental Engineering
/index.php/Mini-FEA_-_A_simple_Finite_Element_Calculator[16] Q. Ma and P.S. Steif, “Using mini-FEA to Assist the Teaching of Engineering Finite Element Methods toUndergraduate Students”, ASEE, PNW, March 31-April 2, 2011, Ganzaga University, Spokane, WA.[17] The Stress-Opticon Instruction Manual[18] Said Shakerin, Daniel D. Jensen, “Enhancement of Mechanics Education by means of photoelasticity and finiteelement method”, International Journal of Mechanical Engineering Education, Vol. 29, No 4, 2000.AppendixA1. Selected PHOTOELASTICITY In-Lab Case Study Questions (Fall 2013)In-lab Task 1 – Column Loading (a Bar under Compression) • Observe and explain Saint Venant’s Principle • What do you observe as you load the specimen gradually with
Score 2 node Determine gain, order transient w complex Question circuit Rth & answer, circ from t includes super Theve Eq output, trans. graph domain power, P Topic truth max circ to w a 3 point node Circuit output and and time with &Q N = 124
research. (The National Academies Press, 2014).8. Adelman, C. The toolbox revisited: Paths to degree completion from high school through college. 1–192 (2006).9. Schunn, C. D. How kids learn engineering: The cognitive science perspective. Bridg. 32–37 (2009).10. Nicholls, G. M., Wolfe, H., Besterfield-Sacre, M. & Shuman, L. J. Predicting STEM degree outcomes based on eighth grade data and standard test scores. J. Eng. Educ. 209–224 (2010).11. Mau, W. Factors that influence persistence in science and engineering career aspirations. Career Dev. Q. 51, 234–243 (2003).12. Wang, X. Why students choose STEM majors: Motivation, high school learning, and postsecondary context of support. Am. Educ. Res. J. 50, 1081
Simulations. International Journal of Engineering Education 28, 1019 (2012).17 Hardiman, P. T., Dufresne, R., & Mestre, J. P. (1989). The relation between problem categorization and problem solving among experts and novices. Memory & Cognition, 17(5), 627-638.18 Patton, M. Q. Qualitative evaluation and research methods. 3 edn, (Sage Publications, Inc, 2002).19 NanoHUB.org. (n.d.). Retrieved January 29, 2015, from https://nanohub.org/tools/oof20 NanoHUB.org. (n.d.). Retrieved January 29, 2015, from https://nanohub.org/tools/gibbs21 Magana, A. J., Brophy, S. P., & Bodner, G. M. (2012). Student Views of Engineering Professors Technological Pedagogical Content Knowledge for Integrating Computational
change required. C Major curricula change required. O No opinion regarding feasibility.Table 1: The acceptability and feasibility rubric for the CEPC survey completed by the CivilEngineering Department Heads.Each participant was invited to make free-form comments on any of the criteria at the end of thesurvey. The presentation was interspersed with a lively question and answer session. There wasa fair amount of skepticism from the audience in the Q&A session, punctuated with some openhostility to the prospect of more demanding accreditation program criteria. However, the post-session survey results from 59 respondents reflected a more balanced view of this effort.Figure 1 shows the survey
like a surprise to me that it was kind of like that. I was excited for the class. But what I saw that really what I was spending my time on was just trial and error and making things work. If we had time to like pull apart the fan and be like oh look there's the gear that actually makes the Q run. Or like there's the point that like sends the signal, um. I don't. It doesn't give me any negative connotation on engineering whatsoever. S: You just don't think that this represents R: Engineering S: (Laughs) R: No. No. S: You just think Page 26.1582.13 R: To me it's just kind of one
://160.109.63.242/npec/pdf/Tinto_Pusser_Report.pdf\nhttp://books.google.com/books ?hl=en&lr=&id=ckk5B_ADM_YC&oi=fnd&pg=PA317&dq=theory+of+students+depart ure+tinto&ots=n0w_i_dDo0&sig=C3EcvfSV2QLDfmzQt4AwU47EQOo#v=onepage&q= theory of students departure. Page 26.1337.144. Freeman S, Eddy SL, McDonough M, et al. Active learning increases student performance in science, engineering, and mathematics. Proc Natl Acad Sci U S A. 2014;111(23):8410– 5. doi:10.1073/pnas.1319030111.5. Beichner R. The SCALE-UP Project: A Student-Centered Active learning Environment for undergraduate Programs. National
person who opens the workshop with an introductionof the topic and speaker(s), assists with Q&A by acknowledging participants’ departments, andcloses the session. The facilitator also meets the students, and actively promotes introductionsamong the students to increase opportunities for networking. Activities are also widelyadvertised on social media platforms.Seminars which have worked well for UMBC, UMCP, and UMB through the PROMISESummer Success Institute (SSI),2 which also attract underrepresented students, internationalstudents, and majority students from multiple disciplines, often serve students at a variety oflevels, e.g., first year, M.S. thesis year, Ph.D. candidate. Some of the most popular PROMISEAGEP SSI workshops include the