materials under dynamic/fatigue loading is the “S-N”diagram. Here, “S” corresponds to the stress level and “N” to the number of cycles. Due to theuncertainties involved in materials’ behavior and characteristics, a large number of specimensare tested at different stress levels for generating the “S - log N” diagram. Ideally, the mainobjective in such tests is two-fold. First, to establish (for a given material), up to what stresslevels the material will enjoy an infinite life (Endurance Limit); and second, to correlate thenumber of cycles at different stress levels that a material will be able to go through beforecoming to failure. The range of cost for a typical educational fatigue testing apparatus is from$10,500 to $32,500. These units are
technologies are likely different than what were available before, and the purpose(s)to be achieved may be different. Furthermore, even an expressed need that may have the samename as a previous problem always involves different people and very often has differentpurposes.The second foundation question of “purposeful information” means “what purposeful Page 24.299.3information is needed to create new solutions?” EBT argues that, since information is arepresentation of some reality, any information is somehow inaccurate, but some is more usefulthan others. The theoretical amount of information needed to describe any reality (and solve anyproblem) is
, No. 3, 2012, pp. 1- 26.[2] Committee on Standards for K-12 Engineering Education, Standards for K-12 engineering education?: National Academy Press, 2010.[3] Katehi, L., Pearson, G., and Feder, M. A., Engineering in K-12 education: Understanding the status and improving the prospects: National Academy Press, 2009.[4] Engineering is Elementary, "Engineering for children?!", n.d.[5] Iverson, E., Kalyandurg, C., and de Lapeyrouse, S., "Why K-12 engineering?": ASEE EngineeringK12 Center, n.d.[6] de Romero, N. Y., Slater, P., and DeCristofano, C., "Design challenges are "ELL-elementary"", Science and Children Vol. 43, No. 4, 2006, pp. 34-37.[7] National Research Council, A framework for K-12 science
a number of projects in areas of solid waste re-use, renewable energy systems, and waterquality for 8th-grade students.9 Arkansas Tech has hosted a two-week workshop for K-12teachers with a focus on comparing various energy sources and provided in-class demonstrationsfeaturing water turbines, fuel cells, and photovoltaics.10 Finally, the Villanova Department ofMechanical Engineering has hosted approximately 60-80 girl scouts on the annual Girl ScoutDay, where the middle school-aged girls learn sustainability concepts through activities such asconcentrated solar energy and photovoltaics.11One aspect of energy literacy that has not yet been explored on the K-12 level lies in green datacenters. Data centers consumed 1.5% of U. S. energy in
., & Kuh, C. V. (Eds.) (2009), Doctoral education and the faculty of the future.Cornell University Press.Erickson, S. K. (2012), Women Ph. D. students in engineering and a nuanced terrain: Avoidingand revealing gender. The Review of Higher Education, 35(3), 355-374.Ferreira, M. M. (2009). Trends in women's representation in science and engineering. Journal ofWomen and Minorities in Science and Engineering, 15(3).Fox, M. F. (2000),Organizational environments and doctoral degrees awarded to women inscience and engineering departments. Women's Studies Quarterly,28(1/2), 47-61.Gardner, S. K. (2009), Conceptualizing success in doctoral education: Perspectives of faculty inseven disciplines. The Review of Higher Education,32(3), 383-406.Goldsmith
). The latter resource provided disaggregated information regardingparental education, occupation, GRE and College GPA of doctoral engineering students and acomparison with science and math students. Zavala (2003) pointed out the diversity of the Hispanics/Latinos, for example “PuertoRicans are about 10 percent of all Latinos but make up 29 percent of the Latino Ph.D.’s” (p.189). Furthermore, based on a Pew Hispanic Center report, Friedrich and Cabrera (2012) andCrisp and Nora (2006) state that “Cuban students are the only Hispanic group who areperforming on par with white students, while Mexicans, the largest Latino group in the nation,tend to have lower achievement than other Hispanics” (p. 8). In consequence, thismisrepresentation is a
help us to better understand all of the factors surroundingstudents’ perceptions of themselves and decisions about going into engineering, which can in Page 24.826.6turn help inform us about better ways to assist these students.References 1. National Academy of Engineering. (2008). Changing the conversation: Messages for improving public understanding of engineering. Washington, DC: National Academies Press. 2. Matyas, M. L. & Malcolm, S. (1991). Investing in human potential: Science and engineering at the crossroads. Washington, DC: AAAS. 3. Oakes, J., Gamoran, A., & Page, R. N. (1992). Curriculum differentiation
.” All learning styles are important part of do I need to learn this stuff?”the learning process. Moreover, “most students show apreference for one or two particular kinds of learning and this” Contextual learning is a project learning where activitiesliking specifies students’ dominant learning style(s) (Coffield, go from class to class and underline the necessity of differentMoseley, Hall, & Ecclestone, 2004) p.233.’ skills complete the project effectively, all the way down to a project assessment on the success of that activity. In addition, Kolb’s studies demonstrate that most students by “feeling
. • C represents the number of bytes used by the constant fields of header e.g. address field, error correction bits etc. • T represents the number of bytes used by usual timestamp. • S represents the number of bytes used by timestamp sequence. Fig. 3: Graphical result showing Percentage reduction in data packets for • P represents the Payload different C’s.Packet size according to normal timestamp can beapproximated as: C+T+P Fig. 2 shows the numerical calculations based on the above
switch, it informs Core S witch Core S witch all the access/ToR to route the packets accordingly. An algorithm is used to provide the solution called Edmonds algorithm [11]. Aggregation Layer Switch Aggregation Layer Switch Core S witch Aggregation Switch Aggregation
Response % Trainee 0 0% Trainee's primary advisor(s) 0 0% Host institution 4 57% Graduate program 0 0% T32 grant 4 57% Other: 1 14% Figure 6. Question #21 results for stipend source during experience. Page 24.650.7 Most commonly, programs do not assign an off-campus training experience, but ratherallow trainees to self
, IV. MANUFACTURING SMART TABLEthe students may have a varied background educationlevel; and hence all students may not be at par as for as Since in 2008, SMART technology has been a rapidlytheir educational knowledge is concerned about the topic growing segment, with its application used in the variousbeing discussed. Likewise, there could be many other organizations. The cost of the product remains a keypossible reasons as well. In such a situation, it becomes issue in this regard, maintaining the problem ofnecessary that the instructor is informed about such a affordability for schools and colleges [5]. One aspect ofcondition being present in the class so that s/he me make the study will be that an affordable
operations, task allocation, obstacle The swarm-bot research project [6], deals with designavoidance, and object transportation. and implementation of swarm robots (s-bots) with self Keywords—Heterogeneous Robot Swarm; Hardware organizing and self assembling capabilities, but each S-botArchitecture; Reconfigurable Robot Swarm. is physically identical (homogeneous) and uses same kind of sensors, actuators, microcontroller. S-bot can connect I. INTRODUCTION with other
1members from Norwich University who were not part of the presents a summary of sample scenarios. After reading theproject team were introduced to the EPSA method. These scenario, the students are then asked to determine the mostfaculty members have independently started to utilize aspects important problem/s and to discuss stakeholders, impacts,of the EPSA method in their courses. This paper describes unknowns, and possible solutions. An example EPSA scenariohow the EPSA scenarios and EPSA rubric are being used in is presented in Appendix Athe “Ethics” section of a senior level “Professional Issues”course for engineering students. The EPSA Rubric
. Page 24.899.10Bibliography1 National Science Foundation, N. S. B. Science and Engineering Indicators: Digest 2012. NSB 12-02. (National Science Foundation, 2012).2 Olson, S. & Riordan, D. G. Engage to Excel: Producing One Million Additional College Graduates with Degrees in Science, Technology, Engineering, and Mathematics. Report to the President. Executive Office of the President (2012).3 National Science Foundation, N. C. f. S. a. E. S. Women, Minorities, and Persons with Disabilities in Science and Engineering: 2013. Special Report NSF 13-304. Arlington, VA. Available at http://www.nsf.gov/statistics/wmpd/. (2013).4 Seymour, E. & Hewitt, N. M. Talking about leaving : why undergraduates leave
century. (National Academies Press, 2005).11. Arum, R. & Roksa, J. Academically Adrift: Limited Learning on College Campuses. (University of Chicago Press, 2011).12. Crabbe, N. Study: College students fail to think critically. The Chalkboard. (2011). at .13. Jaschik, S. “Academically Adrift” | Inside Higher Ed. High. Ed. (2011). at .14. Leef, G. No Work, All Play, Equals a Job? – Room for Debate. New York. (2011). at .15. Paul, R. The State of Critical Thinking Today. (2004). at .16. Mason, M. Critical thinking and learning. Educ. Philos. Theory 39, 339–349 (2007).17. Ennis, R. H. A taxonomy of critical thinking dispositions and abilities. (1987). at 18. French, J. N. & Rhoder, C. Teaching Thinking Skills: Theory
Paper ID #8899The Influence of Student-Faculty Interactions on Post-Graduation Intentionsin a Research Experience for Undergraduates (REU) Program: A Case StudyDr. Lisa Massi, University of Central Florida Dr. Lisa Massi is the Director of Operations Analysis for Accreditation, Assessment, & Data Adminis- tration in the College of Engineering & Computer Science at the University of Central Florida. She is Co-PI of a NSF-funded S-STEM program and program evaluator for an NSF-funded REU program. Her research interests include factors that impact student persistence and career development in the STEM fields.Caitlyn R
Headquarters U.S. Air Force Air Force Global Horizons Dr. Mica Endsley USAF Chief Scientist 19 March 2014 Distribution A. Approved for public release; distribution is unlimited. Public Release Case No 2013-0609I n t e g rDistribution i t y A.-Approved S eforrpublic v irelease; c edistribution - Eisxunlimited
experiences in both school and out-of-school settings as we consider howto teach and facilitate engineering design thinking.AcknowledgementThis material is based upon work supported by the National Science Foundation under Grant No. (HRD-1136253). Any opinions, findings, and conclusions or recommendations expressed in this material are thoseof the author(s) and do not necessarily reflect the views of the National Science Foundation. We would alsolike to acknowledge the contributions of GRADIENT research team members Zdanna Tranby and ScottVan Cleave, as well as the Science Museum of Minnesota and INSPIRE at Purdue University.References 1. Brophy, S., & Evangelou, D., (2007). Precursors to engineering thinking. In Proceedings of the 2007
could be a huge, potential resource for the U.S.’s growing need forengineers. The number of nontraditional students is increasing in higher education but is still asmall population in engineering.3 Private, for profit institutions have been very popular and haveattracted many nontraditional students, with their enrollment of nontraditional students reaching89%.3 Nontraditional students have been studied in community colleges and urban universities,but have been rarely studied at public 4-year universities in engineering due to a lack oflongitudinal data on individual students.The research of nontraditional students used the Multiple-Institution Database for InvestigatingEngineering Longitudinal Development (MIDFIELD). MIDFIELD was large enough
. ( ) (12)Fn=mc×g where g is equal to 9.8 m/s^2 (3)Fk=Fn×μ (4) In order to calculate the distance travelled, break up the calculations into the two distinct parts of the movement. In theThe next thing to figure out is the spring constant of the spring first part for the full travel of the mousetrap lever arm, thein the mouse traps. To do this use a spring scale on the lever kinematics equations can be used. Since the awh, vo and tavg arearm that is attached to both mouse traps and a protractor to known, the distance for the first part can be calculated usingmeasure the angle that
of contract N is DL and Figure 1. The framework of Harmonizing Cluster Results the earliest delivery date is DE , then: sThree steps of Harmonizing Cluster Results: DL ≥ DE + ∑ T i (5) i =1 In formula(5), T i is the production cycle of stage I, S is the In the Witness simulation model there are 23
. Participate in Participate in Indigenous Project Phase Travel Visits Domestic Activities Participants Initial investigation S, F S, F, PE, DCP, OP B, NGO Design S, F, PE, OP S, F, PE, DCP, OP B, ICP, NGO Pre-implementation S, F, PE, OP, S, F, PE, DCP OP B, ICP, NGO planning DCP Construction S, PE, DCP, F S, F, PE, DCP B, ICP, NGO Closeout S, PE, DCP S, F, PE, DCP B, NGO, ICP Key: “S”= student, “F
collaborative administration and industry mentorship planning used to increase enrollments of woman and minorities with declared majors in the areas of Computer Science (CS), Engineering (E), Mathematics (M), and Science (S). Currently, Dr. Kappers is the fulltime Di- rector of the Rothwell Center for Teaching and Learning Excellence Worldwide Campus (CTLE – W) for Embry-Riddle Aeronautical University. In addition, she holds Adjunct Assistant Professor status in the College of Arts and Sciences, Worldwide Campus, teaching RSCH 202 – Introduction to Research Methods, and in the College of Engineering, Daytona Beach Campus, teaching CS120 – Introduction to Computing in Aviation. Both positions allow her to stay focused upon
individuals mostinvolved in mentoring undergraduate researchers, the invitation emails specifically requested thatthe survey be completed by the individual most involved in mentoring the undergraduate(s).We were surprised to find that, on both surveys, more than 70% of respondents indicated thatthey were faculty members and about 20% of respondents were post-docs or graduate students.The few respondents who selected “other” included a post-bachelor lab manager and otherresearch staff. Table 1 summarizes the respondents’ self-identified roles at the University. Table 1: Respondents by University Role Pre-Survey (n=47) Post-Survey (n=56) What is your role at the
Courses Focused on Tissue Engineering ApplicationsProceedings of the 2002 American Society for Engineering Education Annual Conference &Exposition; 2002.8. Pittsburg Tissue Engineering Initiative I. An Education Outreach Manual in TissueEngineering. In: Pittsburg Uo, editor. 2010.9. Birol G, Liu S, Smith D, Hirsch P Educational Modules in Tissue Engineering Based on Page 24.528.10the “How People Learn” Framework. Bioscience Education E-journal. 2006;7.10. Bhatia S. A disease-centered approach to biomaterials education and medical devicedesign. 33rd Annual International Conference of the IEEE EMBS
contributions of Philipp Müller and Adam Probst of the TechnicalUniversity of Munich, Shanon Gilmartin, and the support of all of our colleagues in theDesigning Education Lab at Stanford University. This work was supported by the NationalScience Foundation as a collaborative research grant (NSF-DUE-1020678, 1021893, 1022024,1022090, and 1022644). Any opinions, findings and conclusions or recommendations expressedin this material are those of the authors and do not necessarily reflect the views of NSF.Bibliography1. Byers, T., Seelig, T., Sheppard, S., & Weilerstein, P. (2013). Entrepreneurship: Its Role in Engineering Education. Summer Issue of The Bridge on Undergraduate Engineering Education, 43(2), 35-40.2. Bonnett, C., &
the conceptual design phase andabout 75% of the preliminary design phase. Teams had presented a Conceptual Design Reviewand Preliminary Design Review to the AerosPACE Advisory Board. The purpose of this sectionis to demonstrate what the multi-disciplinary, multi-university teams were able to accomplishafter one semester.Figure 4 shows Team 1’s interpretation of the UAV mission profile. Each team was asked torespond to the RFP and throughout the conceptual and preliminary design phases a clearunderstanding of the mission requirements was emphasized. Figure 4. Team 1 PDR RequirementsAn important outcome of the conceptual design phase is a constraint diagram to identify feasibledesign space based on takeoff, maximum
the AIChE Concept Warehouse.References1. Halloun, I. and Hestenes, D. (1985). The initial knowledge state of college physics students. American Journal of Physics 53, 1043.2. Hestenes, David, Wells, Malcolm, and Swackhamer, Greg. (2002). Force Concept Inventory. The Physics Teacher, 30,141.3. Mazur, E. (1997) Peer instruction, Prentice Hall, Upper Saddle River, NJ.4. Evans, D. L., Gray, G. L., Krause, S., Martin, J., Midkiff, C., Notaros, B. M., et al. (2003). Progress on concept inventory assessment tools. Proceedings of the 33rd Annual ASEE/IEEE Frontiers in Engineering Conference, Boulder, CO.5. Rhoads, T. R., and Roedel, R. J. (1999). The wave concept inventory-a cognitive instrument based on Bloom's taxonomy. Proceedings
. R., & Lee, H. S. (2010). Measuring engineering design self-efficacy. Journal of Engineering Education, 99(1), 71-79.6 Zoltowski, C. B., Oakes, W. C., & Cardella, M. E. (2012). Students’ ways of experiencing human-centered design. Journal of Engineering Education, 101(1), 28-59.7 Charyton, C. et al. (2011). Assessing creativity specific to engineering with the revised creative engineering design assessment. Journal of Engineering Education, 100(4), 778-799.8 Schilling, W. W. (2012). Effective assessment of engineering design in an exam environment. Proceedings from the 2012 ASEE Conference.9 Sobek, D. K. (2002). Preliminary Findings from Coding Student Design Journals. Proceedings from the 2002 ASEE Conference.10 Nesbit, S