for accrediting engineering pro- grams. Available at http://www.abet.org/eac-criteria-2014-20152. Atmel Corporation (2010) ATmega16/32U4 datasheet. Available at http://www.atmel.com/images/7766s.pdf3. Audia, P. and Rider, C. (2005) A garage and an idea: what more does an entrepreneur need? California Man- agement Review 48(1), 6-28.4. Beckman, S. and Barry, M. (2007) Innovation as a learning process: Embedding design thinking. California Management Review 50(1), 25-56.5. Carryer, J., Ohline, M. and Kenny, T. (2010) Introduction to mechatronic design. Prentice Hall.6. Gibson, J. (1986) The ecological approach to visual perception. Routledge.7. Lidwell, W., Holden, K., and Butler, J. (2010) Universal Principles of Design: 125 Ways to
Academy of Engineering. (2008). Changing the conversation: Messages for improving public understanding of engineering. Washington, DC: The National Academies Press.6. Tonso, K. L. (2006). Student engineers and engineer identity: Campus engineer identities as figured world. Cultural Studies of Science Education, 1, 237–307.7. Carlone, H. B. (2004). The cultural production of science in reform-based physics: Girls' access, participation, and resistance. Journal of Research in Science Teaching, 41(4), 392-414.8. Carlone, H. B., Johnson, A., & Eisenhart, M. E. (2014). Cultural perspectives in science education. In S. K. Abell & N. Lederman (Eds.). Handbook of research on science education (2nd edition) (pp: 651
researchers and were generated based on experiencewith homework in STEM courses, both from a teaching and a student perspective. The surveywas composed of five main sections:1. General questions about the student’s school, year of study, major, and average number of problem sets assigned per week.2. Positive Homework Course. Questions relating to a homework experience in a STEM course that the student would describe as “positive.” a. Initial questions asked for the name of the course, and the type(s) of homework utilized in the course. The name of the professor was asked, but was optional. b. Then students were asked to rate on a scale from Never, Rarely, Sometimes, Often, to All of the Time, the amount to which they felt
of book and how it is acquired.Figure 6 shows the distribution of acquisition channels for printed textbooks and Figure 7 showsthat distribution for ebooks. Figure 6: How printed books were acquired Page 24.1183.11 Figure 7: How ebooks were acquired.The survey showed that while 72% of printed books were purchased and most of the rest (20%)were rented, the acquisition of ebooks was much more evenly distributed between methods. Itwas pointed out above that none of the Arts & Science students responding to the survey rentedtheir textbook. This is consistent with only six percent of A&S
technology commercialization, including the first technology licenses, faculty start-ups, student patent filings, student start-ups, on campus incubation of start-ups and partner companies, and a Commercialization Council that bridges the gap between university research and the broader technology commercialization community in San Antonio. Mr. Hallam was a recipient of the MIT Course 16 Sixteen award, the SABJ 40 under 40 award, the Richard S. Howe Undergraduate Teaching Excellence award, and currently holds the Jacobson Distinguished Professorship in Innovation and Entrepreneurship at UTSA.Prof. Dorie Jewel GilbertProf. Olivier Wenker MD, The University of Texas MD Anderson Cancer Center Dr. Wenker is a Professor of
of the author and do notnecessarily reflect the views of the National Science Foundation.ReferencesCapobianco, B. M., Diefes-Dux, H. A., & Mena, I. B. (2011). Elementary school teachers' attempts at integrating engineering design: Transformation or assimilation? In Proceedings of the 118th American Society for Engineering Education Annual Conference and Exposition, Vancouver, British Columbia.Charyton, C., Jagacinksi, R. J., Merrill, J. A., Clifton, W., & DeDios, S. (2011). Assessing creativity specific to engineering with the revised creative engineering design assessment. Journal of Engineering Education, 100(4), 778-799.Forbes, C. T. (2011). Preservice elementary teachers’ adaptation of science
pushthrough this.”The UW and WSU STARS faculty and staff want to thank the University of Colorado’sAssociate Dean of Inclusive Excellence Jacquelyn Sullivan and GoldShirt Program DirectorTanya Ennis for their guidance and encouragement during the launch phase of the WashingtonSTARS in Engineering Program.This material is based upon work supported by the National Science Foundation Graduate 10K+STEP Grant under Grant No. 1317246 & 1317349.Bibliography[1] Reardon, S. F. The Widening Academic Achievement Gap Between the Rich and the Poor New Evidence and Possible Explanations, 2011. http://cepa.stanford.edu/content/widening-academic-achievement-gap-between- rich-and-poor-new-evidence-and-possible[2] Strutz, M. L., Orr, M. K., Ohland,. “Low
. M. J. Traum, S. L. Karackatttu, “The Research Incubator: Fast-tracting Undergraduate Engineering Students into Research via Just-in-Time Learning,” ASEE GSW Paper Number 09-33, Proceedings of the 2009 ASEE Gulf-Southwestern Section Annual Conference,Waco, TX, March 18-20,2009.2. Foroudastan, S., “Experimental Vehicles Program Inspires Innovative Projects through Research and Development” 2013 Proceedings of ASEE AC.3. Foroudastan, S., “Mechanical Engineering Education: Not Just about the Math,” 2004 Proceedings of IMECE International Mechanical Engineering Congress, Anaheim, CA, November 13-19.4. Holmes, M. “Brain Sports Find a Place in the Sun.” SWE Summer 2011: 14-16
farms.X- References1- J. Kleissl, Solar Energy Forecasting and Resource Assessment, Elsevier/Academic Press, 2013, USA2- J. Ramos, et al. “UTPA Solar Systems Efficiency, ASEE Annual Conference 20123- http://www.kippzonen.com/?product/18172/CHP+1.aspx 01/04/20144- http://www.kippzonen.com/?product/13/CMP+11.aspx 01/04/20145- http://www.kippzonen.com/?product/2021/SOLYS+2.aspx 01/04/20146- http://www.campbellsci.com/cr1000-datalogger 01/04/20147- http://www.nrel.gov/midc/utpa_srl 01/02/20148- M. J. Reno, C. W. Hansen, J. S. Stein, Global Horizontal Irradiance Clear Sky Models: Implementation andAnalysis, SAND2012-2389, 20129- J. S. Stein, C. W. Hansen, M. J. Reno, The Variability Index: A new and novel metric for quantifying Irradianceand PV output
communication skills. Figure 1. Historical perspective of semiconductor product engineering at Texas Tech from its establishment to current. The numbers above the years refer to the PSPE cohort and the numbers below refer to the uPSPE/S-SDE cohorts.The endeavor at TTU became known as the Program for Semiconductor Product Engineering(PSPE). Shortly thereafter, the TTU program was incorporated into the broader AnalogUniversity Program. The TTU program was expanded to support nearly all of TI’s business unitsincluding: DLP (Digital Light Processing), SPARC (Sun Microsystems design support), HVAL Page 24.1298.5(High Volume Analog), and HPA (High
concepts. application(s) OR focusing opportunities” are evident. to the rationale for on the science needed to science learning. solve a real-world engineering challenge. a b c d C4. Teacher routinely asks Teacher sporadically asks Teacher asks students to Teacher does not Page 24.1333.7 students to provide scientific students to provide provide scientific and/or ask students to and/or engineering rationale scientific
Proceedings of the ACM 14th international workshop on Data Warehousing and OLAP, on pages 101-104, ACM, October, 2011.2. S. Amjad, S. Neelakrishnan, and R. Rudramoorthy. “Review of design considerations and technological challenges for successful development and deployment of plug-in hybrid electric vehicles,” in Renewable and Sustainable Energy Reviews, 14(3), on pages 1104-1110, 2010.3. The Apache Software Foundation, “Apache Hadoop,” http://hadoop.apache.org, February, 2014.4. “A commercialization project of Energy Systems Network,” http://www.energysystemsnetwork.com/project-summary-benefits, April, 2012.5. “Why Think City?,” http://thinkev.leftbankcompanies.com/why-think-city, December, 2013.6. J. Shafer, S
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
, DigitalTwins. Ali is a faculty member at the civil engineering department, University of Tabuk, Saudi ArabiaReferences[1] O. Albalawi, I. Atawi, A. AlTurki, and K. Alatawi, “Board 104: An Accelerator of Human Innovation Integrating Continuous Improvement and Lean Philosophy into Innovation Program for Undergraduate Students,” in 2023 ASEE Annual Conference & Exposition Proceedings, Baltimore , Maryland: ASEE Conferences, Jun. 2023, p. 42387. doi: 10.18260/1-2--42387.[2] S. Sagheb, K. Walkup, and R. Smith, “Project-Based Development as a Model for Transdisciplinary Research and Education,” J. Syst. Cybern. Inform., vol. 20, no. 5, pp. 17– 32, Oct. 2022, doi: 10.54808/JSCI.20.05.17.[3] L. Lam et al., “Improving student outcomes