-Bass Publishers.2. Augustine, N. (2005). Rising Above the gathering Storm: Engineering and Employing America for a Brighter Future.3. Besterfield-Sacre, M., Moreno, M., Shuman, L. J., Atman, C. J. (2001). Gender and Ethnicity Differences in Freshman Engineering Student Attitudes: A Cross- Institutional Study. Journal of Engineering Education, 90(4), 477-489.4. Davey, F. H. (2001). The Relationship Between Engineering and Young Women’s Occupational Priorities. Canadian Journal of Counseling, 35(3), 221. Page 25.185.175. Dick, T., & Rallis, S. (1991). Factors and Influences on High School Students’ Career Choices. Journal for
Tina Tang, Cindy Walker, Todd Johnson, TinaCurrent, Sharon Kaempfer, and Jennie Klumpp (all at UWM) for their assistance with thisproject.Bibliography1. National Science Board. 2003. The Science and Engineering Workforce: Realizing America’s Potential.Publication NSB 03-69. (www.nsf.gov/nsb/documents/2003/nsb0369/nsb0369.pdf)2. Augustine, N. “Rising Above the Gathering Storm: Energizing and Employing America for a BrighterEconomic Future”, Committee on Science, Engineering, and Public Policy (COSEPUP), 2007.3. Bochis, C., Hsia, S., Johnson, P., Boykin, K., Wood, S., Bowen, L, and Whitaker, K. “Integrated EngineeringMath-Based Summer Bridge Program for Student Retention”, Proceedings of the 2007 American Society for
and non-traditional student programs. Consequently the learning outcomes for thecourse work are of the same rigor and content previously approved by faculty.1 Dyrenfurth, M. J., Newton, K. A., Schuver, M. T. and Elliott, S., ROI: Return on Investment as a Factor in Designing Graduate Research Projects for Mutual Benefit, 2009 ASEE Annual Conference Proceedings of the American Society for Engineering Education. (2009) Page 25.1327.5Page 25.1327.6
listedin separate columns.Note that, with the establishment of the CAP3 Accreditation Committee in January 2004, theinitiation of BOK1-compliant criteria development effectively coincided with the publication ofthe BOK1 report. However, in the four years since the publication of the BOK2 report, CAP3has chosen not to initiate the development of new BOK2-compliant accreditation criteria. Whynot?As the timeline suggests, the publication of the BOK2 did not fully account for the inevitable Page 25.1329.10time lag associated with accreditation criteria implementation. The BOK2’s publication sevenmonths ahead of the first accreditation visits under BOK1
Thinking Skillsits components Object 3: Estimate (two-digit insertion) insertion time question,to see Object 4: Calculate total operation time and cost differentiateinterrelationship Object 5: Calculate assembly efficiency (DFA index) contrast ...s and ideasB5: Synthesis Create, design, Object 1: Design/redesign parts with self-locating features- to use creativity develop, collect, Object 2: Design/redesign parts with self-fastening featuresto compose anddesign something formulate, propose, Object 3: Design/redesign for
have identified a gap in the type of information that Congressreceives on science and technology (S&T) matters and recognize the importance of includingthose with technical expertise in the conversations surrounding science and technology policy.Policymakers have found that a lack of information is not the problem; rather, the difficulty mostlegislative branch decision-makers have in fully understanding the large amounts of informationand advice received on a daily basis and appropriately assessing the validity, credibility andusefulness of that information. The follow policy maker quotes illustrate this point: "If we want good public policy, it has to be made by those who understand the issues ... sadly, few elected officials have
A. Elby, The impact of epistemology on learning: A case study from introductory physics, Am. J.Phys. 73, 372 (2005).9 K. Perkins, W. Adams, N. Finkelstein, S. Pollock, and C. Wieman, 2004 Proceedings of the Physics EducationResearch Conference (AIP, Melville, NY), Vol. 790, p.45 (2005).10 E. Seymour and N. Hewitt, Talking About Leaving: Why Undergraduates Leave the Science (Westview, Boulder,2000).11 K. Perkins, M. Gratny, W. Adams, N. Finkelstein, and C. Wieman, 2005 Proceedings of the Physics EducationResearch Conference (AIP, Melville, NY), Vol. 818, p.137 (2006).12 T. McCaskey and A. Elby, 2003 Proceedings of the Physics Education Research Conference (AIP, Melville, NY),Vol. 720, p.37 (2004).13 L. Anderson and D. Krathwohl, (Eds.), A
. Washington, DC: AAUW Educational Foundation. 1998. 6. Lupart, J.L., Cannon, E., & Telfer, J. “Gender differences in adolescent academic achievement, interests, values and life-role expectations.” High Ability Studies, 15(1), 25-42. 2004. 7. Post-Kammer, P., & Smith, P. L. Sex differences in career self-efficacy, consideration, and interests of eighth and ninth graders. Journal of Vocational Behavior, 32, 551-559. 1985. 8. Reimer, M.S. "Gender, Risk, and Resilience in the Middle School Context." Children and Schools, 24, 35- 47. 2002. 9. Schaefer, A. C. "G.I. Joe Meets Barbie, Software Engineer Meets Caregiver: Males and Females in B. C.’s Public Schools and Beyond." Vancouver, BC: British
clearly distinguish between images of "engineers" and"scientists"). The paper also assesses specific character and professional attributes, stereotypes(profession-, ethnicity or gender-based) and attributes known to facilitate viewer's identificationwith on-screen characters, of engineering professionals portrayed in selected films. In particular,the key research question of “How are engineer(s) and their work portrayed in the feature films?”was broken down to more detailed sub-questions: • What types of engineering work are represented? How is creative component of that work shown? How successful (or unsuccessful) are the outcomes? • Is the distinction between science and technology, and scientist and engineers depicted? • Are
Conference, Portland, OR, Jun.8–10, 2005. 5. V.J. Harward, J.A. del Alamo, V.S. Choudhary, K. deLong, J.L. Hardison, S.R. Lerman, J. Northridge, D. Talavera, C. Varadharajan, S. Wang, K. Yehia, D. Zych., “ iLab: A scalable architecture for sharing online experiments.”, Gainesville, Fl, October 2004. ICEE. 6. O.B. Akinwale, K.P. Ayodele, A.M. Jubril, L.O. Kehinde, O. Osasona, O. Akinwunmi, A.T. Asiimwe, C. Mwikirize, P.I. Musasizi, S.T. Togboa, A. Katumba, J.Butime, J.P. Nombo, M.M. Baraka, S. Teyana, M.J. Alfred, K.M. Musa, "Online Laboratories: Enhancing the Quality of Higher Education in Africa", in Proc., Conference of Rectors, Vice-Chancellors & Presidents of African Universities (COREViP), South
AC 2012-4681: SELECTION OF EFFECTIVE GROUPS IN ENGINEER-ING PROJECTS USING MANAGEMENT THEORY PRACTICEMr. Brian Robert Dickson, University of Strathclyde Page 25.1148.1 c American Society for Engineering Education, 2012 Selection of Effective Groups in Engineering Projects using Management Theory PracticeA study that is a work in progressIntroductionMany engineering courses incorporate group projects as standard. The challenge for mostacademics is selecting groups that are well balanced and will produce a fair result for allgroup members, that measure their technical abilitie,s and their
also findsimilarity between electrostatics and kinematics, as well as between the propagation of EM planewave in a uniform isotropic medium and the traveling of an EM wave in a transmission line.The assessment result shows that this is an effective way of learning Electromagnetics, and thisintegrated knowledge structure can also resist the relentless erosion of time. Page 25.1175.5Reference[1] Johanna Leppavirta, “The impact of mathematics anxiety on the performance of students of electromagnetics,”Journal of Engineering Education, vol. 100, no. 3, pp. 424-443, 2011.[2] M. Barnett, T. Keating, S. A. Barab, and K. E. Hay, “Conceptual change
large flip chart paperand hung in a place where faculty could see them on a daily basis for about a month. The listwas discussed informally but thoroughly by the faculty. Caution: Do not rush this step. It willtake time and patience..Examples of the Faculty’s Operating Principles: • Publically defend, privately discuss • Use collaborative decision making • Support new programs and initiatives • Trust each other’s expertise • Support and listen to one another in times of crisis and triumph • Think of the department as a living Organism that is evolving • Consider needs and desires of other programs and departmentsStep 2. Agree on area(s) of distinction and create your shared vision.Create a shared vision for the
could use to transfer into the engineering (and computer science)program/s at the 4-year institution. These core courses are selected so as to reflect the first twoyears of a four- year engineering program. While this model is certainly reasonable, it does havesome major weaknesses. Many engineering schools have engineering programs in classic areassuch as civil, chemical, electrical and mechanical engineering with a number of courses, inmathematics and science, in common. However, the first two years of an engineering programcan have subtle but significant differences in course requirements that are specific to that major.If the new transfer student stays on track with their initial choice for a major, there is no problem.But, should the
, Berkeley, CA. Wankat, P. C. and Oreovicz, F. S. (1993). Teaching Engineering, McGraw-Hill, Inc.References Burghardt, M. D. (1999). Introduction to Page 17.32.5
able to showother students how to solve homework assignments, explain the concepts covered, orparticipate in meaningful discussion of the material during the class meeting. Please note thereference [1] discussed in the background section regarding current thinking about gainingengagement using course design.Bibliography1. Philip M. Turner and Ronald S. Carriveau, “Next Generation in Course Design”, Peter Lang (publisher), New York, New York, 2010.2. Brookstone, “Brookstone”, 2012, Available http://www.brookstone.com/boogie-board-rip.3. Ronny N Galloway, “Sketch of Network Diagram”, 2012, Available from Author.Biographical InformationRonny N Galloway is an Assistant Professor at Pittsburg State University in Pittsburg, KS
involved in the Senior Design program in the ECE Department and also serves as a faculty advisor on the project for which the Antipodal Vivaldi Antenna design will be used. Her current research interests include modulated antennas/scatterers, materials characterization, and microwave/millimeter wave measurements. Dr. Mohammed Tayeb Ghasr is an Assistant Research Professor with the Applied Microwave Nondestructive Testing Laboratory (amntl), Electrical and Computer Engineering Department, Missouri University of Science and Technology (Missouri S&T). His research interests include microwave and millimeter-wave instrumentation and measurement, RF circuits, antennas, and numerical electromagnetic analysis.Proceedings of the
Midwest Section Conference of the American Society for Engineering Education 4With c ≈ 3x108 m/s and L = 157.1m Figure 4: Harmonic Alignment3The resonance frequency was found experimentally to be about 675 ± 1 kHz. This gives apercent difference of about 34%. Just as before when the second trombone moved their slidefurther, the transmitter is adjusted by changing the input frequency from the AC generator. Byadjusting the frequency the resonance is changed until the voltage being received is at its peak.This is the frequency at which the transmitter is resonating. As the
. Copyright ASEE Middle Atlantic Regional Conference Delaware April 20-21 2012ConclusionsThis explorative project shows that structural equation model is capable of providingquantitative information on the causative hypotheses/elements such as pre-requisites in asequence of courses. The LISREL software is fairly easy to implement and it is hopedthat the presented results would popularize the application of SEM in engineering andtechnology program pedagogy.AcknowledgementsPartial supports from several CUNY grants are gratefully acknowledged.References1. Bollen KA, Noble MD 2011, “Structural equation models and the quantification ofbehavior”, Proc Natl Acad Sci U S A. 2011 Sep 13;1082. LISREL softwarehttp://www.ssicentral.com/3. Taasoobshirazi, G. and
. Copyright ASEE Middle Atlantic Regional Conference Delaware April 20-21 2012ConclusionsThis explorative project shows that structural equation model is capable of providingquantitative information on the causative hypotheses/elements such as pre-requisites in asequence of courses. The LISREL software is fairly easy to implement and it is hopedthat the presented results would popularize the application of SEM in engineering andtechnology program pedagogy.AcknowledgementsPartial supports from several CUNY grants are gratefully acknowledged.References1. Bollen KA, Noble MD 2011, “Structural equation models and the quantification ofbehavior”, Proc Natl Acad Sci U S A. 2011 Sep 13;1082. LISREL softwarehttp://www.ssicentral.com/3. Taasoobshirazi, G. and
TN, Violato C. (2010),” Structural equation modeling in medical research: aprimer”, BMC Res Notes. 2010 Oct 22;3:267.2. Bollen KA, Noble MD 2011, “Structural equation models and the quantification ofbehavior”, Proc Natl Acad Sci U S A. 2011 Sep 13;1083. LISREL softwarehttp://www.ssicentral.com/4. T. Higuchi, "Approach to an irregular time series on the basis of fractal theory",Physica D, vol 31, 277-283, 1998.5. Todd Holden, G. Tremberger, Jr, E. Cheung, R. Subramaniam, R. Sullivan, N. Gadura,P. Schneider, P. Marchese, A. Flamholz, T. Cheung, and D. Lieberman (2008) Fractalanalysis of 16S rRNA gene sequences in archaea thermophiles. Fifth InternationalConference on Bioinformatics, Computational and Systems Biology, Proc World AcadSci Engr
. RetrievedJuly 5, 2011, from National Bureau of Economic Research: http://www.nber.org/cycles/sept2010.html2 Romer, P. D., & Doyle-Ahern, M. S. (2011, July 26). (S. Overstreet, Interviewer)3 Company profile. (n.d.). Retrieved August 6, 2011, from emht.com: http://www.emht.com4 Autodesk. (2011). About Autodesk. Retrieved August 6, 2011, from Autodesk(R):http://usa.autodesk.com/company/5 Autodesk. (2011). AutoCAD Land Desktop. Retrieved December 17, 2011, from Autodesk(R):http://usa.autodesk.com/6 International Society for Performance Improvement. (2011). About ISPI. Retrieved October 3, 2011, fromInternational Society for Performance Improvement: http://www.ispi.org7 Autodesk. (n.d.). Overview of Styles in AutoCAD Civil 3D. Retrieved 17 2011
project • And the prototype (if there is any) in a way that s/he shows that s/he knows what is doing; • To speak loud and clear • The score that they get corresponds to 1/3 of the total score of each course along the year; and it is for the 5 years. • This program was designed and implemented in the Engineering School of Catholic University in Santos City, Sao Paulo State, in Brazil. • It has been also implemented in Pittsburg University and American University, in USAExpected Outcomes of the ProgramThe main and may be the most valuable result of this program is the quality of professionals thatcomes out;In the program designed for an engineering school of a private university it is expected • 2/3 of students to be immediately
facilitator ensures that all participants walk away having learned something new.References1 White, W.S. (1906). Reviews before and after school vacation. American Education, 10, pp. 185-188.2 Cooper, H., Nye, B., Charlton, K., Lindsay, J., Greathouse, S. (1996). The effects of summer vacation on achievement test scores: A narrative and meta-analytic review, Review of Educational Research. 66, pp. 227-268.3 Alexander, K.L., Entwisle D.R., & Olson L. S. (2007). Summer learning and its implications: Insights from the Beginning School Study, New Directions for Youth Development, 114, pp. 11-32.4 Dale, E. (1954). Audio-visual methods in teaching. New York,, Dryden Press5 Rudman, C.L. (1994). A review of the
applied to studyU.S. and Chinese college students by Zhang and her colleagues16-17. However, students in Zhanget al.’s series of studies represented a variety of areas (e.g. education, liberal arts, science,sociology, etc.) 16-17, 20. Despite these studies, there is still scarce information available exploringthe epistemological development of graduate-level engineering Chinese students. Consideringthe prominent representation of Chinese students in doctoral engineering education, a significantexpectation of students to develop cognitively in higher education, and current research focusinglargely on Chinese students’ adjustment and socialization and not on cognitive development, thisproposed study shall attempt to examine the epistemological
the importance of validation, however they can be improved to help thestudents learn self-teaching of engineering software. For this reason, the exercises will beupdated for continued use in future courses. The solutions to the five exercises may also act astutorials for the other faculty in the department. Page 25.604.8V. Bibliography 1. Garrett, S. L. (1996) The Polk County Courthouse: a $47 Million Iaq Disaster. Presented at 1996 ASEE National Conference. 2. Schlager, N. Breakdown: Deadly Technological Disasters (Visible Ink Press, 1995). 3. Petroski, H. Design Paradigms: Case Histories of Error and Judgment in
andimplementing the class project. However, a small number of students felt uncomfortable usingFacebook for the course because they did not want to share their personal comments posted ontheir Facebook wall with the instructor. Other students complained about the difficulty inlocating information posted on the Facebook group. Nonetheless, majority of students agreedthat the Facebook group was an effective tool facilitating them to share information with otherclassmates and they suggested other courses to use Facebook group as well.Bibliography 1. Young, N. W., Jones, S. A., Bernstein, H. M., and Gudgel, J. E. (2009). “The Business Value of BIM: Getting Building Information Modeling to the Bottom Line”, SmartMarket Report, McGraw
, findings, and conclusions or Page 25.625.9recommendations expressed in this material are those of the author(s) and do not necessarilyreflect the views of the National Science Foundation.Bibliography[1] Peel, L.D., Ball, C., “Fabrication and Testing of a Simple Bionic Arm,” ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems (SMASIS2010), Philadelphia, PA, Sept. 2010.[2] How People Learn: Brain, Mind, Experience, and School, Committee on Developments in Science for Learning, Bransford, J. D., A.L. Brown, and R.R. Cocking, editors, National Academy Press, Washington, D.C., 2000.[3] Anthony, H,. M. Geist, S
School: Why the most successful students of colour might be most likely to withdraw." Educational Psychology, 2006. 26(4): p. 563-577.7. Taylor, V.J. and G.M. Walton, "Stereotype Threat Undermines Academic Learning." Personality and Social Psychology Bulletin, 2011. 37(8): p. 1055-1067.8. Osborne, J.W., "Race and academic disidentification." Journal of Educational Psychology, 1997. 89(4): p. 728-735.9. Jones, S., "A Conceptual Model of Multiple Dimensions of Identity." Journal of college student development, 2000. 41(4): p. 405.10. Osborne, J.W., "Academics, Self-Esteem, and Race: A Look at the Underlying Assumptions of the Disidentification Hypothesis." Personality and Social Psychology Bulletin
Reproduction Service No. ED 436 352).1998 8. J. Harvey, & S. Purnell, S., Technology and teacher professional development. Report Prepared for the Office of Educational Technology, U.S. Department of Education. Santa Monica, CA: Rand Corporation, March 1995 Page 25.719.11