the century. Figure 1: Sample Project-based Climate Change Module: Understanding Climate Induced Changes in Arctic Ice (developed by W. Armington and S. Powers Clarkson University http://www.clarkson.edu/highschool/climate_ed/modules/index.php ) Page 23.928.5Several modules have a human activity or energy focus and provide opportunities for integratingengineering with science and mathematics content. As an example, the Power Profiler moduleincludes activities associated with energy efficiency and electric power production, including thegeneration of a poster depicting the
the late Page 23.939.21990’s and early 2000’s was already in place and expanding based on what was thought to beprudent.The story begins in 1996, starts with a faculty coalescence program that became a faculty/studentcoalescence program. The program is based on the mentoring model of: I do, you watch. Wedo, you learn. You do, others watch. We all do, we all learn3. The faculty develops into a teamand they pass this on to the students. In 2013 the model has been in place for some years and theresult is a community that functions well – students succeed and the results are increased studentbody, more national recognition, and better
. National Academies of Engineering of the National Academies, Educating the engineer of 2020: adaptingengineering education to the new century, National Academies Press, Washington, DC, 2005.8. Licki, E., 2007. Work in progress – Putting engineering pedagogy in Europe and Asia on an international level,Proceedings of the ASEE/IEEE 37th Annual Frontiers in Education Conference, p F2A/19-20, IEEE, New York,NY.9. Blanchard, S., R. O’Neill, J. Sweeney, L. Zidek, S. Komisar, D. Stoppiello, 2010., Re-inventing engineeringeducation one new school at a time, Proceedings of the ASEE Annual Conference and Exposition, ASEE, NewYork, NY.10. Ho, L.H. and A.B.T. Kadir, 2009. Joint accreditation on engineering education for a foreign university campusin Malaysia
betweeneach variable and each factor. For items that were loaded under two factors, only thehighest loading was retained. The following variances were reported for the factors:factor1, σ2 = 38.62%; factor2, σ2 = 8.41%; factor3, σ2 = 6.73%; factor4, σ2 = 5.36%; andfactor5, σ2 = 4.81%.After evaluating the items loaded under each factor, factor1 was labelled CommunityInfluence (CI), factor2 Satisfaction (S), factor3 Service Quality (SQ), factor4 Learnability(L) and factor5 Technical Quality (TQ). Five new variables were computed on the basisof the means of the items falling under each factor. To compare the factors as rated byusers, one-way repeated measures ANOVA was applied to the five variables. Repeatedmeasures ANOVA indicated significant
., Drogan, O., & Davis, S. F. (2002). Student use of introductory texts: Comparative survey findings from two universities. Teaching of Psychology, 29, 312-313.2. Abdous, M., Facer, B. R., & Yen, C. J. (2012). Academic effectiveness of podcasting: A comparative study of integrated versus supplemental use of podcasting in second language classes. Computers & Education, 58, 43- 52. doi:10.1016/j.compedu.2011.08.0213. Evans, C. (2008). The effectiveness of m-learning in the form of podcast revision lectures in higher education. Computers & Education, 50, 491-498. doi:10.1016/j.compedu.2007.09.0164. Fernandez, V., Simo, P., & Salan, J. M. (2009). Podcasting: A new technological tool to facilitate good practice
Page 23.984.3Engineering strain, ε, is ratio of the change in an object’s length to the object’s initial length andis given by,where, .L0 is the original length of the object and Lfinal is the object’s final length. For an object thatstarted with a length of 3 cm and was determined to have a final length of 1.25”, what would bethe value of the engineering strain?Problem 2 HorsepowerA 2405 lb Yaris has run out of gas 1/4 mile from the nearest gas station. By pushing the car, itaccelerates from a velocity of 0 m/s to 1 m/s in 1 minute. After the first minute, the car moves ata constant velocity. You can assume that the rolling resistance of the tires is negligible and thatthe road is
output slider link 6. As shown in Figures 5 through7, the results across all three are the same. Output Slider Velocity Versus Time 300 200 100 0 -1000.000 0.150 0.300 0.450 0.600 v6 (mm/s) -200 -300 -400 -500 -600 -700 time (sec) Figure 5. Excel Result for Output Slider Velocity versus Time Figure 6. Unigraphics NX7.5 Result for Output Slider Velocity versus Time
Carolina and ETAC of ABET reviewer for Electrical Engineering Technology and Computer Engineering Technology.Ms. Wanda Moses, South Carolina State UniversityDr. James Allen Anderson P.E., South Carolina State UniversityMs. Cynthia T Davis, SC State University EDUCATION 1979 B. S. Magna Cum Laude, Mathematics Education Benedict College, Columbia, South Carolina 1982 M. S. Computer Science Atlanta University, Atlanta Georgia 1992 - 1996 Additional Study, Mathematics University of South Carolina, Columbia, South Carolina South Carolina State University, Orangeburg, South Carolina PROFESSIONAL EXPERIENCE 1990 – Present Instructor of Computer Science South Carolina State University Orangeburg, South Carolina 1987
-based system for assigning members to teams using instructor- specified criteria. Advances in Engineering Education, 2 (1), 1-28. 3. Verleger, M., Diefes-Dux, H., Ohland, M. W., Besterfield-Sacre, M., & Brophy, S. (2010). Challenges to Informed Peer Review Matching Algorithms. Journal of Engineering Education, 99(4), 397 – 408. 4. Rentsch, J.R., Delise, L.A., Salas, E., & Letsky, M.P. (2010). Facilitating knowledge building in teams: Can a new team training strategy help? Small Group Research, 41(5), 1-19. 5. Zhang, B., & Ohland, M. W. (2009). How to assign individualized scores on a group Page 23.1071.5
GSwE2009 Core Body of Knowledge (CBOK).• An architectural framework that supports a flexible curriculum implementation by allowing each university to fashion a program guided by its own specialties and culture. GSwE2009 Curriculum ArchitectureThe student outcomes guided and controlled the development of both the structure and content ofthe GSwE2009 curriculum. The structure of the GSwE2009 curriculum is represented in thearchitectural model depicted in Figure 1. It identifies, via the CBOK, the minimal material thatall programs should include and makes provisions for each institution to develop its owndistinctive program(s). The curriculum architecture is compatible with existing master‘sprograms, for which course and curriculum data are
Dai; Yanmei Wang, “NLMS Adaptive Algorithm Implement Based on FPGA,” Proceedings of the 3rd International Conference on Intelligent Networks and Intelligent Systems (ICINIS), pp. 422- 425, 2010.10. L.D. Van and W.S. Feng, “An efficient architecture for the DLMS adaptive filters and its applications”, IEEE Trans. Circuits Syst. Vol. 48, No. 4, pp. 359-366, April 2001.11. Hesam Ariyadoost, Yousef S. Kavian, and Karim Ansari-As, “Performance Evaluation of LMS and DLMS Digital Adaptive FIR Filters by Realization on FPGA,” Int. J Sci. Emerging Tech., Vol. 1 No. 1 September, 2011.12. Douglas, S.C., “Fast exact filtered-X LMS and LMS algorithms for multichannel active noise control, “Proceedings of IEEE International Conference on
,Anytime.” Journal of Engineering Education. 131-146.2 Mackey, K. R.M. and Freyberg, D.L. (2010). “The Effect of Social Presence on Affective and CognitiveLearning in an International Engineering Course Taught via Distance Learning.” Journal of EngineeringEducation. 23-34.3 Sweller, J. (1999). Instructional design in technical areas. Pub: Australian Council for EducationalResearch, Victoria, Australia.4 Steif, P. and Dollar, A. (2007). “An Interactive Web-Based Statics Course,” Proceedings of the AnnualAmerican Society of Engineering Education Annual Conference and Exposition, Honolulu, HA, June.5 Peercy, P. S. and Cramer, S. M. (2011). “Refining Quality in Engineering Education Through HybridInstruction.” Guest Editorial. Journal of
-enabled learning contexts, technology-mediated problem solving, applications of dynamic modeling for learning of complex topics, and the impact of epistemic beliefs on learning with technology.Dr. Suzanna Long, Missouri University of Science & Technology Dr. Suzanna Long is an Assistant Professor of Engineering Management and Systems Engineering (EMSE) at Missouri S&T and holds a Ph.D. and M.S. in engineering management, B.S. in physics and in history (University of Missouri-Rolla) and an M.A. in history (University of Missouri-St. Louis). Her research focuses on sustainable infrastructure systems, including sustainability in global supply chains and transportation systems. She is a recognized expert in
Communication Quarterly, 69(1), 25-49, 2006.[4] L. Hasler-Waters & W. Napier, “Building and Supporting Student Team Collaboration in the Virtual Classroom”, Quarterly Review of Distance Education, 3(3), 345-352, 2002.[5] T. U. Daim, A. Ha, S. Reutiman, B. Hughes, U. Pathak, W. Bynum, & A. Bhatla, “Exploring the communication breakdown in global virtual teams”, International Journal of Project Management. Elsevier Ltd and IPMA, 2011. doi:10.1016/j.ijproman.2011.06.004.[6] N. Zakaria, A. Amelinckx, & D. Wilemon, “Working Together Apart? Building a Knowledge-Sharing Culture for Global Virtual Teams”. Creativity and Innovation Management, 13(1), 15-29, 2004. doi:10.1111/j.1467- 8691.2004.00290.x[7] L
personnel dedicated full-time to the MESA Center at our college havebeen supported by grants from the National Science Foundation or Department of Education, andthis support has been essential to implement the full spectrum of program components. TheMESA model includes learning community clusters of linked math, science and engineeringclasses, academic enrichment workshops to supplement student learning, tutoring and mentoringassistance, participation in national science and engineering related organizations, opportunitiesfor NSF S-STEM and other scholarships, and an Industry Advisory Board.MESA Center activities include:1) Development of individual student academic plans for MESA students;2) Assistance in applying for S-STEM or other science and
) ρwhere K is the bulk modulus of the fluid and ρ is the density. Water at standard temperaturepossesses a speed of sound of near 5000 ft/s—much higher than the speed of sound in air atstandard temperature, about 1100 ft/s. For fluid in a confined area, such as a pipe, the speed ofsound or the water hammer wave velocity is as = K (2) ⎛ K ⎞ ρ ⋅ ⎜1 + ⋅ c⎟ ⎝ E ⎠where E is Young’s modulus of the pipe material and “c” is a constant that depends on the pipe’selastic properties and constraints. For a schedule 40 6-inch nominal pipe, the water hammerwave velocity is about 4400 ft/s
withconcept mapping”, Science, Vol. 331, No. 6018 pp. 772-775 , Feb. 20113. D.R. Woods, “An evidence-based strategy for problem solving,” Journal of Engineering Education, Washington,vol. 89, no. 4, pp. 443–460, 2000.4. K. VanLehn, S. Siler, C. Murray, T. Yamauchi and W. B. Baggett, “Why Do Only Some Events Cause LearningDuring Human Tutoring?”, Cognition and Instruction, Vol. 21, No. 3, pp. 209-249, 20035. T. P. Novikoff, J. M. Kleinberg and S. H. Strogatz, “Education of a Model Student,” Proc. Natl. Acad. Science,23 Jan. 2012.6. F. N. Dempster, "Spacing Effects and Their Implications for Theory and Practice", Educational PsychologyReview, 1989 Vol 1, Issue 4, pg. 3097. Bloom, B. S. (1984), 'The 2 Sigma Problem: The Search for Methods of Group
software was used to check and evaluatevarious RF conditions under which this experiment was conducted. The inSSIDer is capableof: Working with the internal Wi-Fi radio system Collecting DWi-Fi network information (e.g. SSID, MAC, access point vendor, data rate, signal strength, and security) Determining the graph signal strength over time Showing how Wi-Fi networks overlap. Comparing graphs between the signal strength and time domain. Showing the signal strength v/s channel plot as well. a) Signal V/S Time Plot Proceedings of the 2013 American Society for Engineering Education Pacific Southwest Conference Copyright © 2013, American Society for Engineering
-Liisa; Savander-Ranne, Carina. 2005. Improving Student Learning in anEnvironmental Engineering Program with a Research Study Project. International Journal of EngineeringEducation, 21(4), 702-711.5Chanson, H. 2004. Enhancing Students’ Motivation in the Undergraduate Teaching of Hydraulic Engineering:Role of Field Works. Journal Of Professional Issues In Engineering Education And Practice, 130, 259-268.6 Anderson, Donna S.; Miskimins, Jennifer L. Journal of Geoscience Education. 2006, 54 (2), 172-178.7Dewoolkar, Mandar M; George, Lindsay; Hayden, Nancy J.; Neumann, Maureen. 2009. Hands-On UndergraduateGeotechnical Engineering Modules in the Context of Effective Learning Pedagogies, ABET Outcomes, and OutCurricular Reform. Journal Of
step enables themto calibrate the tools used toachieve an appropriate accuracy.Throughout the course of theproject students are able to first-hand understand why certaindesign choices have been madewith the P-51 engineering teamfrom the 1940's; the capstoneteam is in the position to offerinsight on how those legacydecisions could be improvedusing technology from the 21stcentury. The first step in theproject is to choose and introducethe P-51D variant through aliterature review, brief history ofthe aircraft and also to researchthe design approach,technologies, mission profile and Figure 1 - WWII Fighter Aircraft1 Proceedings of the 2013 ASEE Gulf-Southwest Annual
., October 2005, pp. 40-47[6] R. E. Sorace, V. S. Reinhardt, and S. A. Vaughn, “High-Speed Digital-to-RF Converter,” U.S. Patent 5 668 842, Sept. 16, 1997.[7] V. Nerguizian, R. Mhiri, M. Sadd, H. Kane, J.S. Deschenes, and H. Saliah-Hassane, "Lab@home for Analog Electronic Circuit Laboratory," in the proceedings of IEEE International Conference on e-learning in Industrial Electronics (ICELIE), Montreal, Canada, October 2012, pp. 110-115[8] Z. Nedic, J. Machotka, and A. Nafalski, "Remote Laboratories Versus Virtual and Real Laboratories," in the Proceedings of the 33rd ASEE/IEEE Frontiers in Education Conference, Boulder, CO, 2003, pp. T3E.1-T3E.6. Proceedings of the 2013 Midwest Section Conference of the American
). Analyzing the contextual, motivational, and conceptual characteristics of teaching faculty in regard to the use of learner centered approaches in teaching. Paper presented at the Annual Meeting of the American Education Research Association, San Francisco, CA.2. Rando, W., & Menges, R. (1991). How practice is shaped by personal theories. New Directions for Teaching and Learning, 45, 7-14.3. Trigwell, K., Prosser, M., & Waterhouse, F. (1999). Relations between teachers' approaches to teaching and students' approaches to learning. Higher Education 37(1), 57-70.4. Jarvis-Selinger, S., Collins, J. B., & Pratt, D. D. (2007). Do academic origins influence perspectives on teaching? Teacher Education Quarterly
building, renewable energy, and sustainability initiatives in architectural education and the built environment over the past 20 years during her tenure as an architecture department faculty member at Cal Poly, San Luis Obispo. In the mid-1990’s, she was part of a design-engineering team that produced a feasibility study for a campus biological solid waste and wastewater treatment facility at Cal Poly, and worked as a consultant with Sasaki and Associates on a Sustainability Master Plan for California State University, Monterey Bay. She participated in the Vital Signs Building Case Study Project throughout its 10-year lifespan. This NSF and Energy Foundation funded curriculum project set standards and provided
Work? A Review of the Research,” J. Engr. Education, vol. 93, no. 3, pp. 223-231, 2004.8. R. F. Pease and S. Y. Chou, “Lithography and Other Patterning Techniques for Future Electronics,” Proceedings of the IEEE, vol. 96, no. 2, pp. 248-270, Feb. 2008.9. D. Helms, E. Schmidt, and W. Nebel, “Leakage in CMOS Circuits – An Introduction,” Proceeding of the 36th European on Solid-State Device Research Conference (ESSDERC 2006), pp. 399-402, 19-21 Sept. 2006.10. G. Bourianoff, “The future of nanocomputing,” IEEE Computer , vol. 36, no. 8, pp. 44- 53, Aug. 2003.11. M. Haselman and S. Hauck, “The Future of Integrated Circuits: A Survey of Nanoelectronics,” Proceedings of the IEEE, vol. 98, no. 1, pp. 11-38, Jan. 2010.12
and suggest anincrease in student self-taught learning.The national ASCE concrete canoe competition, as it is currently conducted, is based on what Page 23.314.4was initially a series of local concrete canoe races. Races were first held in the 1960’s on alocal-level as intramurals. In the 1970s the first regional competitions were held, and in 1988,ASCE with sponsorship provided by Master Builders, Inc., organized the first nationalcompetition in East Lansing, Michigan. In the last decade this competition has even expandedinto European nations.[8] With 24 consecutive years of experience at the national level, theconcrete canoe competition
Hispanic and White Youth into College,’’ Pew Hispanic Center, Nov.2005. [Online]. Available: pewhispanic.org/reports/report.php?ReportID=56, Last Accessed on January 5, 2013.7. Science and Engineering Indicators 2012, [Online]. Available: http://www.nsf.gov/statistics/seind12/c2/c2h.htm,Last Accessed on January 4, 2013.8. A. T. Jeffers, A. G. Safferman, S. I. Safferman, “Understanding K-12 Engineering outreach Programs,” Journal ofProfessional Issues in Engineering Education and Practice, pp. 95-108, April 2004.9. J. Gilley, J. Begolly, “Great Progress, Great Divide: The need for evolution of the recruitment model for womenin engineering,” 2005 American Society of Engineering Education (ASEE) Annual Conference and Exposition,Portland, OR.10. D
benefits to the Small-to-MediumEnterprise (SME) sector, and of particular interest in this study, micro-manufacturers inregional settings.The statistics captured on innovation often provide a mixed view on the greater benefitsin the form of increased productivity and higher value for the goods and services weproduce. Though the value of statistical information and analysis is beneficial, it doesnot provide an in-depth view of the effects and benefits on small businesses, theirowner(s) and the resultant innovation outcomes. Specifically, most research undertakenin evaluating the outcomes of innovation policy often do no more than broad and insome cases, industry specific statistical analyses, surveys and short interviews. Thequestion may be posed
. (2003, June). Evolution in the design and construction of stadiums. Retrieved from http://dspace.mit.edu/bitstream/handle/1721.1/29561/52724916.pdf?sequence=16. Grant, M. (1995). Gladiators. New York: Barnes and Noble.7. Roman Colosseum architecture. (2012, January 3). Retrieved from http://romancolosseum.org/ roman- colosseum-architecture/8. Purpose of the Colosseum. (2008). Retrieved from http://www.roman-colosseum.info/colosseum/purpose- of-the-colosseum.htm9. Awning at the Colosseum. (2008). Retrieved from http://www.roman-colosseum.info/colosseum/ awning-at-the-colosseum.htm10. Brown, S. (2007, August 15). The Roman arena. Archaeology. Retrieved from http://archive.archaeology. org/gladiators/arena.html11. Slater
. 2010. http://www.washingtonpost.com/wp-dyn/content/article/2010/09/05/AR2010090502817.html. Last Page 23.254.16 Retrieved September 26, 2012. 3. S. Provasnik, D. Kastberg, D. Ferraro, N. Lemanski, S. Roey, and F. Jenkins, Highlights From TIMSS 2011: Mathematics and Science Achievement of U.S. Fourth- and Eighth-Grade Students in an International Context (NCES 2013-009). National Center for Education Statistics, Institute of Education Sciences, U.S. Department of Education. Washington, DC, 2012. Part I: http://nces.ed.gov/pubs2013/2013009_1.pdf. Last