Page 22.302.14We would like to thank our advisor for supporting the organization and getting it started. Wewould also like to thank our mentoring professors who have dedicated their time and expertise inteaching us how to teach effectively, the after school directors for providing us with a place toteach, as well as our community partners for providing us with funds, materials, and a locationfor our mentor training workshop. And finally, we would like to thank the rest of the BEAMstaff for devoting their time efforts to make BEAM a success.References[1] Dorph, R., Goldstein, D., Lee, S., Lepori, K., Schneider, S., Venkatesan, S. (2007). The status of scienceeducation in the Bay Area: Research brief. Lawrence Hall of Science, University of
AC 2011-185: COLLABORATIVE RESEARCH-MENTORING FOR TRIBALCOLLEGE STUDENTSG. Padmanabhan, North Dakota State University G. Padmanabhan, Ph. D., P.E., M. ASEE, F. ASCE is a professor of civil engineering at North Dakota State University, Fargo, North Dakota. He is a long standing member of ASEE and ASCE. Currently, he is also the Director of North Dakota Water Resources Research Institute. He has been active in STEM education outreach activities to minorities at the college and high and middle school levels for the last ten years.Carol Davis, North Dakota EPSCoR Dr. Carol Davis is a member of the Turtle Mountain Band of Chippewa. She helped establish Turtle Mountain Community College in the early 1970’s and served
benefit is determined using a four-parameter “S-shaped” function of bridge strength.Grades are assigned using a weighted comparison of bridge profits (82%) and the group’saccuracy in predicting the strength of their bridge (18%) according to profit and accuracy gradestandards established at the beginning of the semester. Thus, although it is considered acompetition, students do not compete for grades, as there is a fixed and predetermined standardthat determines each project’s grade. The current group design project is intended to provide a range of learning experiencesfor the freshman engineers. First being a group project it is intended to introduce freshmanengineers to collaborative design and division of labor within a project. Second
; refrigeration and heat pump cycles, including absorption andcascade refrigeration, and other advanced cycles; air-conditioning processes of humid air; ReheatRankine cycle including means to improve its efficiency; Otto and Diesel cycles; Brayton withintercooling, reheating and regeneration; property diagrams, p-v, T-v, T-p, T-s, h-s, p-h, andPsychrometric chart .The course includes four lectures each week and a weekly lab. Each lab is preceded by lecturesand homework that cover related theoretical concepts; specific concepts are mentioned in eachlab description below. Weekly lab assignments are listed in Table 1. The table indicates whetherthe students are required to complete a pre-lab assignment prior to the lab, and whether studentswrite a formal
Assessment of the Quality of Bone and Scaffold Materials. Heidelberg,Germany: Springer; 2007.6. Xu H, Simon CG. Fast setting calcium phosphate–chitosan scaffold:mechanicalproperties and biocompatibility. Biomaterials. 2005;26:1337-48.7. Converse G, Yue W, Roeder RK. Processing and tensile properties ofhydroxyapatite-whisker-reinforced polyetheretherketone. Biomaterials. 2007;28:927-35.8. Schnieders J, Gbureck U, Thulb R, Kissel T. Controlled release of gentamicinfrom calcium phosphate—poly(lactic acid-co-glycolic acid) composite bone cement.Biomaterials. 2006;27.9. Xu H, Quinn, JB Calcium phosphate cement containing resorbable fibers forshort-term reinforcement and macroporosity. Biomaterials. 2002;23:193-202.10. LI S, Liu B
AC 2011-1103: AGILE METHODOLOGIES FOR HARDWARE / SOFT-WARE TEAMS FOR A CAPSTONE DESIGN COURSE: LESSONS LEARNEDRichard Stansbury, Embry-Riddle Aeronautical Univ., Daytona Beach Richard S. Stansbury is an assistant professor of computer science and computer engineering at Embry- Riddle Aeronautical University in Daytona Beach, FL. He instructs the capstone senior design course for computer and software engineering. His current research interests include unmanned aircraft, certification issues for unmanned aircraft, mobile robotics, and applied artificial intelligence.Massood Towhidnejad, Embry-Riddle Aeronautical Univ., Daytona Beach Massood Towhidnejad is a tenure full professor of software engineering in the department
means are equal ( p<< .001). Once again, the most gain was made with questions 2 and 5.Due to the differences in point distribution with the removal of quesiton 1 for the second year, itis not possible to perform direct statistical anaylsis between the two years. However it is stillpossible to make some observations. It is surprising to see all the 0’s on question 2 whenlooking at the points distribution for the 2010 post-test. The amount invalid samples (incompletetests) for 2009/2010 was also remarkable. Both years showed improvement on questions 2 and5. Question 2 addressed Quality Function Deployment while question 5 addressed the content ofprogress reports. These are both topics that are directly applied to design projects in this
PC to teach computer networking and operating systems”, Proceedings of the 4th Conference on Information Technology Curriculum, Lafayette, Indiana, USA, 2003.2. A. Gaspar, S. Langevin, W. Armitage, R. Sekar, and T. Daniels, “The role of virtualization in computing education”, Proceedings of the 39th ACM SIGCSE Technical Symposium on Computer Science Education Portland, Oregon, USA, 2008.3. J. Ekstrom, M. Bailey, “Teaching Web Deployment with OS-virtualization”, Proceedings of 2009 ASEE Annual Conference and Exposition, Austin, Texas, USA, 2009.4. P. Li, “Integrating Virtualization Technology into Remote Lab: A Three- Year Experience”, Proceedings of 2009 ASEE Annual Conference and Exposition, Austin, Texas, USA
college: Nine elements of effective outreach. Albany: State University of New York Press.6. Bandura, A. (1988). Organizational application of social cognitive theory. Australian Journal of Management, 13(2), 275-302.7. Lent, R.W., Brown, S.D. & Hackett, G. (1994). Toward a unifying social cognitive theory of career and career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79-122.8. Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological Bulletin, 84(2), 191-215.9. Bandura, A.(1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs: Prentice-Hall.10. Zeldin, A. L., Britner, S. L., Pajares
’ self-assessments. As such, students’ self-assessments should not be used in program or course assessment, at least in Statics, as anythingother than a supplement to direct assessment measures. It is possible that students’ self-assessments do reflect something of value and interest, such as confidence, that could be usefulin the improvement of instruction and course material, but they do not show a strong orconsistent correlation with performance on actual problems in Statics.Bibliography1. Sarin, S., and Headley, D., “Validity of Student Self-Assessments,” Proc. of the ASEE Annual Conference and Exposition, Montreal, Quebec, Canada, June, 2002, http://www.asee.org/acPapers/ 2002-831_Final.pdf.2. Collura, M. and Daniels, S., “How
. Page 22.981.8References 1. Hulse, P., St George, J. S., Wang, Li. (2009) How well does collaboration work in engineering project curriculum redesign? ASEE Annual Conference and Exposition, Conference Proceedings. 2. Wichita State University Libraries. (2003). Empower; information literacy. 2003, from http://library.wichita.edu/empower/ 3. Queensland University of Technology. (2010). Pilot; your information navigator. from https://pilot.library.qut.edu.au/index.jsp 4. Waterford Institute of Technology Library, W. OLAS - information literacy online. from http://library.wit.ie/olas/ 5. Harrison, N., Harley Haddow Consulting Engineers,. (2009). Internet for civil engineering. from
: Inexpensive hardware and softwaretools,” in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing,pp. 2934 – 2937, March 2010.[2] C.R.A. Gonzalez, C.B. Dietrich, S. Sayed, H.I. Volos, J.D. Gaeddert, P.M. Robert, J.H. Reed, and F.E. Kragh,“Open-source SCA-based core framework and rapid development tools enable software-defined radio education andresearch,” in IEEE Communications Magazine, Vol. 47, Issue 10, 2009, pp. 48 – 55.[3] T.B. Welch, T. Kent, C.H.G. Wright, and M.G. Morrow, “An Affordable Software Defined Radio,” inProceedings of IEEE DSP/SPE Workshop, pp. 791 – 796, January 2009 .[4] S. Katz and J. Flynn, “Using software defined radio (SDR) to demonstrate concepts in communications andsignal processing
intends on attending Medical School.Ali Sanati-Mehrizy, Pennsylvania State University Ali Sanati-Mehrizy is a medical student at the Milton S. Hershey Medical Center at Pennsylvania State University. His research interests include the application of mobile computing in the sciences. Upon completion of medical school, he hopes to pursue a career in Internal Medicine/Pediatrics with a further specialization in Hematology-Oncology.Dr. Reza Sanati-Mehrizy, Utah Valley University Page 22.926.1 c American Society for Engineering Education, 2011 Integration of Mobile Computing into
method of a differentialequation. This kind of question is better suited to engineering students than simply giving Page 22.1371.7them a differential equation and asking them to solve it numerically. An exampleproblem is given below. A sample problem The following equation describes the velocity of a car. Determine the positions of the car, x in meters, at t = , 2 , 3 , 4 , 5 s using Euler method. Compare the numerical solutions with the exact solution at t = 2 and 5 s. dx 2 9cos t 9, x (t 0) 0 Equation (2
. M. Saul, D. Deardorff, D. S. Abbott, R. J. Beichner, “Evaluating introductory physics classes in light of the ABET criteria: An example from the SCALE-UP Project”, 2000 ASEE Annual Conference Proceedings, (June 2000). 10. S. Mitra-Kirtley, “Thoughts on Studio Physics”, Optics and Photonics News, (Sept.1998). 11. S. Mitra-Kirtley, “Studio Physics at Rose-Hulman Institute of Technology”, 2000 ASEE Annual Conference Proceedings, (June, 2000). 12. Doyle Davis, “Vidshell software”, New Hampshire Technical College 13. http://www.ncsu.edu/per/scaleup.html;http://web.mit.edu/newsoffice/tt/2001/dec19/physics.h tml; 14. Kate Kirby, Roman Czujko, and Patrick Mulvey, The Physics Job Market: From Bear to Bull in a
, Texas Tech UniversityGregory W Hislop, Drexel UniversityRichard Stansbury, Embry-Riddle Aeronautical Univ., Daytona Beach Richard S. Stansbury is an assistant professor of computer science and computer engineering at Embry- Riddle Aeronautical University in Daytona Beach, FL. His current research interests include unmanned aircraft, certification issues for unmanned aircraft, mobile robotics, and applied artificial intelligence. At Embry-Riddle, his teaching activities include the capstone senior design course for computer and software engineers. He received his BS and MS degrees in Computer Engineering (2002 and 2004 respectively) and PhD in Computer Science (2007) from the University of Kansas. As a graduate research
57.8%, with women receiving approximately 851,824 degrees and menreceiving approximately 621,911 degrees in 20061. During that time the percentage of womenreceiving bachelor’s degrees in science and engineering (S & E) fields increased from 24.8% to50.5%, and the number of women earning S & E degrees increased from 45,634 to 239,273 inthat time. However, the percentage of women with bachelor’s degrees in engineering was 19.5%in 2006, although that is an increase from 0.4% in 1966 and represents an increase in totalnumber of women’s degrees from 146 in 1966 to 13,300 in 2006. Certain engineering fields haveeven lower numbers and percentages of women graduates. For example, the percentage ofwomen attaining electrical or mechanical
, private, and research-oriented university in Mexico, focusing on howfaculty implicitly or explicitly describe the boundaries of engineering, and how their descriptionsreproduce or resist historically-influenced ideas about women’s and men’s work.Difficulties and potential uses of the category of gender as an analytical unitAmerican feminism prompted the use of the category of gender in the 1970’s with the intentionto differentiate social and cultural constructions of the biological facts. In addition, to thescientific goal of understanding social reality, with the sole intent to point out that humancharacteristics considered “feminine” were acquired by women through a complex individualand social process, rather than derived “naturally” from
Department of Management at the University of Tennessee, Knoxville. He received his Ph.D. in Industrial/Organizational Psychology from Georgia Institute of Technology in 1989. Dr. Woehr ’s research focuses on the measurement and evaluation of individual job performance, managerial assessment centers, and applied measurement. Dr. Woehr currently serves as an associate editor for Human Performance and is an elected fellow of the Society for Industrial/Organizational Psy- chology (SIOP), the American Psychological Association (APA), and the Association for Psychological Science (APS).Hal R Pomeranz, Deer Run Associates Hal Pomeranz is the lead developer of the SMARTER Teamwork tools. He is a Faculty Fellow of the SANS
team has developed exercises for theintroductory Statics course that serves as most students’ first introduction to engineeringproblem solving.Currently, the U.S. engineering workforce remains 90% white and male; engineering, inparticular, has not attracted women and URMs. Baccalaureate degrees received by bothURMs and women in engineering peaked in 1999-2000 and have trended downwardsince then[1] A study conducted by Engineers Dedicated to a Better Tomorrow used theNSF WebCASPAR database to document that although about one half of earnedbaccalaureate degrees in S&E as a whole go to women, in physics, engineering,engineering technology, and computer science, these rates dropped to one in five[2].While in 2008 women earned 18.5% of
statistical concepts which are frequentlymisunderstood by students at this level16.It should certainly be pointed out to students that this approach provides a very conservativenumber because it assumes worst case addition of inaccuracies and that more sophisticatedtechniques will be introduced later. If students are familiar with basic statistical techniques wecan differentiate between random and systematic errors and show that random errors can bereduced by averaging the results of repeated measurement. In this case, for random errors, therange can be replaced with 2s / n , where s is the experimental standard deviation and n is thenumber of samples averaged. This gives a 95% coverage interval for normally distributed dataand, by Chebyshev’s
to the current phase “Expansion Development” (NSF DUE-1022750).References1. Acharya R, Wasserman R, Stevens J, and Hinojosa C: Biomedical imaging modalities: a tutorial. Computerized Medical Imaging and Graphics 19:3-25, 1995.2. Allan GL, and Zylinski J: The teaching of computer programming and digital image processing in radiography. Intl. Journal of Medical Informatics 1998; 50:139-143.3. Alon P: Bringing the Internet and multimedia revolution to the classroom. Campus-Wide Information System 17:16-22, 2000.4. Athanasiou S, Kouvaras I, Poulakis I, Kokorogiannis A, Tsanakas P, and Koziris N: TALOS: An interactive
weeks in introductory soils courses. The high-techflavor of x-ray CT can be attractive to these students. Anecdotal comments from students usingthis approach have been positive and encouraging; however, the newness of this approachprecludes the presentation of statistical assessments in this paper. A more quantitativeassessment of student learning will be assembled in future semesters based on additional studentfeedback.AcknowledgementsExperimental x-ray CT analyses conducted by former students Brent Nielsen, Josh Nichols, andBryant Robbins were useful in developing the simplified approach described in this paper. Theirvaluable contributions are acknowledged and greatly appreciated by the authors.References Cited1. Alshibli, K. A., Batiste, S
retail price of this new OMAP- Page 22.1118.2based system is $149 (USD),2 while the suggested retail price for the still-available C6713 DSK is$395 (USD). When compared to the TMS320C6713 DSK, this new experimenter kit has several Figure 1: The new LogicPD Zoom OMAP-L138 eXperimenter Kit.changes, and depending upon the intended application these changes may or may not be consid-ered improvements. The OMAP-L138 SoC includes a multi-core processor that contains both aC6748 VLIW digital signal processor and an ARM926EJ-S RISC general purpose processor, bothrunning at 300 MHz. In the experimenter kit configuration, the processor has 64
and frequently with little interaction. This paperdiscusses the potential of BIM for improving collaborative AEC education, and proposes a wayforward for Universities, based on the outcomes of a series of surveys and interviews with arange of industry and academic stakeholders in the AEC professions, examining current andfuture practice in this important area.The need for collaboration in the AEC professionsIn the U.S., approximately eight per cent of the total workforce in 2007 was employed inconstruction and the industry contributed $611 billion, or 4.4 per cent of the gross domesticproduct (GDP) in that year1. Similarly, the construction industry represents approximately six percent of both Australia‟s and the UK‟s GDP2, 3. But despite the
history of engineering distance learningat the University of Florida, and a one year snapshot of enrollments and students. The core ofthe work goes through UF EDGE basic model used to optimize resources and time including: thecombined distance and campus classroom structure, infrastructure for online delivery, coursemanagement system and online optimization tools, curriculum for online delivery, and thedistance exam proctoring process.1. Introduction: UF EDGE History, Departments, and Students.The University of Florida began offering on-site distance learning instruction at select Floridacompanies in the 1950’s. In 1964, the UF College of Engineering launched the first livegraduate engineering courses broadcast from UF with real time two-way
course time restrictions and itwas based on puzzle questions that may not accurately identify critical thought.DiscussionThis paper focuses on the beginning portion of the study involving three cohorts and their fouracademic years at the University of Louisville. The freshman data on the CA (critical thinkingassignment) and the IFR (independent faculty rating) of the CA is being used to create thebaseline for comparison as each of thecohorts’ progress through their academic careers at J.B.Speed School of Engineering. The second year data have been collected for two cohorts, butcohort 2 has not been analyzed yet. The IFR for cohort 2’s second year will be completed in2011.Table 4 shows the freshman data for each cohort. Since the pre/post CTA was
. Dodds, A. Howard, S. Tejada, and J. Weinberg, pp. 35-41. Technical Report SS-04-01. Menlo Park, CA: AAAI Press, (2004). 2. S. Coradeschi and J. Malec “How to make a challenging AI course enjoyable using the RoboCup soccer simulation system, in RoboCup-98: Robot soccer world cup II: Lecture notes in artificial intelligence, vol. 1604, pp.120-124, ed. M. Asada and H. Kitano. Berlin: Springer, (1999). 3. M. Goldweber, et al. “The use of robots in the undergraduate curriculum: Experience reports,” Panel at 32nd SIGCSE Technical Symposium on Computer Science Education, Charlotte, North Carolina.. 4. F. Klassner, “Robotics as a Unifying Theme for Computing Curriculum 2001”, National Science Foundation
education and occupational codes.2. BackgroundIn this paper, definitions for STEM fall into one of two domains: education or occupation. Thespecific discipline categories used in the education domain are derived from the National Centerfor Education Statistics Classification of Instructional Programs 20008 and the Classification ofInstructional Programs 19909. The standard Occupational Classification (SOC) system is used inthe occupational domain.CIP and CIP CodesThe National Center for Education Statistics (NCES), of the U. S. Department of Education,developed the Classification of Instructional Programs (CIP). CIP includes all the disciplinesoffered in academic institutions and universities in the United States. For each discipline, there isa
.pdf [Accessed Dec 08, 2010]3. Chakraborty, S., Sharma, S. and Ray, S. (2007), Samsung Electronics (A&B): In India, , Page 22.1226.7 HBR Case Study, 906M34-PDF-ENG and 906M35-PDF-ENG4. Huang, M., Riggs, B.K., Lynn, B.C., Dongsheng, W. and Gaffney, P. (2006), Eliminate the Middleman? , HBR Case Study R0603X-PDF-ENG5. Kane-Sellers, L., Koerber-Walker, J. and Zoghi, B. (2004), Connecting Resources: A Primer for Electronics Distribution, Thomson Custom Publishing.6. Kaufman, S.P. (2007) Arrow Electronics-The Apollo Acquistion, HBR Case Study 607007- PDF-ENG7. Miller, M., Moran, A., Richardson, B., Waguespack, T., Carter, R. and