features for each value are listed in figure 4. Score Rubric 1 Concept exists, no other attributes 2 Topic is defined by originator(s) 3 Local conditions are adapted to fit 4 External interest, some 'buzz' 5 Serious external scrutiny, some hostile 6 Significant speculative growth 7 Self-sustaining from revenue earned 8 Full competition in all major markets 9 Mature technology cash cow 10 End of life management Figure 4. General grading rubrics. Page
AC 2011-1108: A DIMENSIONAL ANALYSIS EXPERIMENT FOR THEFLUID MECHANICS CLASSROOMCharles Forsberg, Hofstra University Charles H. Forsberg is an Associate Professor of Engineering at Hofstra University, where he primarily teaches courses in the thermal/fluids area. He received a B. S. in Mechanical Engineering from Polytech- nic Institute of Brooklyn and an M. S. in Mechanical Engineering and Ph. D. from Columbia University. He is a Licensed Professional Engineer in New York State. Page 22.37.1 c American Society for Engineering Education, 2011 A Dimensional Analysis
instruction. International Journal on E-Learning, 5(3), 313-337. 3. Kearsley, G. (1997). A guide to online education. Retrieved September 2, 2007, from http://fcae.nova.edu/kearsley/online.html 4. Lim, D. H., Morris, M. L., & Kupritz, V. W. (2007). Online vs. blended learning: Differences in instructional outcomes and learner satisfaction. Journal of Asynchronous Learning Networks, 11(2), 27-42. 5. Russell, T. L. (2001). The No Significant Difference Phenomenon: A Comparative Research Annotated Bibliography on Technology for Distance Education (5th ed.): International Distance Education Certification Center. 6. Simonson, M., Smaldino, S., Albright, M., & Zvacek, S. (2006). Teaching and learning at a
helped improve this process over several years; we appreciate cadets Lauren Hohenberger, Nate Barnes and Kevin Stevens for allowing us to include their concept maps.References 1. Kadlowec, Jennifer, Paris von Lockette, Eric Constans, Beena Sukumaran and Douglas Cleary, “Hands-on Learning Tools for Engineering Mechanics,” Proceedings of the American Society for Engineering Education Annual Conference, 2002 2. Ellis, Glenn W., Kathryn S. Lee and Alyssa Tham, “Learning Engineering Mechanics Through Video Production,” Proceedings of the ASEE/IEEE Frontiers in Education Conference, Savannah, GA, 2004 3. Holzer, Siegfried M. and Raul H. Andruet, “Learning Basic Mechanics with Multimedia,” Proceedings of the
] Breidenbach, D., Dubinsky, E., Hawks J., & Nichols, D. (1992). Development of the Process Conception ofFunction. Educational Studies in Mathematics, 23(3), (pp. 247-285)[5] Lobato, J. E. (2003). How design experiments can inform a rethinking of transfer and vice versa. EducationalResearcher, 32(1), (pp.17-20)[6] National Research Council, Committee on Developments in the Science of Learning (2000). Learning andtransfer. In J. D. Bransford, A. L. Brown, & R. R. Cocking (eds.), How people learn: Brain, mind, experience, andschool (Exp. Ed., pp. 51-78). Washington, DC: National Academy Press.[7] Reed, S. K. (1993). A schema-based theory of transfer. In D. K. Detterman & R. J. Sternberg (Eds.), Transfer ontrial: Intelligence, cognition and
. Page 22.62.10Bibliography1. Todd, R.H. “The how and why of teaching an introductory course in manufacturing processes”Frontiers in Education Conference, 1991. Twenty-First Annual Conference. 'Engineering Education in aNew World Order.' Proceedings, 21-24 Sep 1991, West Lafayette, IN, p. 460 – 463.2. Kalpakjian S. and Schmid S. Manufacturing Engineering and Technology, 6 ed. Prentice Hall, 2009.3. Boxford Machine Tools, Wheatley, Halifax, UK, www.boxford.co.uk/boxford/4. Beale D.G., Simionescu P.A. and Dyer D. “Grading and Motivation of Student Teams Working onIndustry Sponsored Mechanical Design Projects,” Proc. of the ASME IMECE, New York, November 11-16, 2001.5. American Foundry Society www.afsinc.org6. Lostfoam.com a division of Austin
professional way. We also plan to develop a detailed assessment rubric to evaluatethe effectiveness of course delivery systematically.References[1] S. Chakrabarti, M. Ester, U. Fayyad, J. Gehrke, J. Han, S. Morishita, G. Piatetsky-Shapiro, W. Wang,“Data Minig Curriculum: A Proposal (Version 1.0)”. Intensive Working Group of ACM SIGKDDCurriculum Committee, April 30, 2006. [Online] http://www.sigkdd.org/curriculum/CURMay06.pdf.[Accessed: 10-Jan-11].[2] M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemann, and I. H. Witten, “The weka data miningsoftware: An update,” SIGKDD Explorations, vol. 11, no. 1, 2009.[3] J. Han and M. Kamber, “Data Mining Concepts and Techniques”. Morgan Kaufmann, 2006.[4] R. Ihaka and R. Gentleman, "R: A language for data
, Proposal funded by theOffice of Naval Research, Arlington, Virginia under Grant No: N00014-99-1-0969.[3] Padmanabhan, G., Davis, C. A., Lin, W., Pieri, R. V., Patterson, F., and Cobb. S., 2002. Strengthening NativeAmerican Pathways to Science and Engineering Education. Proc. of the 2002 ASEE Annual Conference andExposition, Montreal, Canada.[4] Padmanabhan, G., Lin, W., Pieri, R. V., Patterson, F., and Khan, E., 2006. A Weekend Enrichment Program forTribal High School Teachers and Students. Proceedings of the 2006 ASEE Annual Conference and Exposition, June18-21, Chicago, Illinois, USA.[5] Lin, W., Padmanabhan, G., Pieri, R. V., and Patterson, F., 2007. Experience with and Lessons Learned in aSTEM Summer Camp for Tribal College Students, 2007 ASEE
+100 Equal test; PC relative branch Branch on bne $1,$2,100 if ($1!= $2) go to PC+4+100 Not equal test; PC relative sss ssss set on less than slt $1,$2,$3 if ($2 < $3) $1=1; else $1=0 Compare less than; 2’s comp. set < imm. slti $1,$2,100 if ($2 < 100) $1=1; else $1=0 Compare < constant; 2’s comp. set < uns. sltu $1,$2,$3 if ($2 < $3) $1=1; else $1=0 Compare less than; natural numbers set < imm. uns. sltiu $1,$2,100 if ($2 < 100) $1=1; else $1=0 Compare < constant
Interest Table 1. Statements presented in the survey and what each was designed to measure.Each category was represented by three to four questions measuring it. Each question was thenduplicated for measurement against other courses students have taken at the university. Thesequestions were written identically except for the phrase “this course” was substituted by “other Page 22.168.4courses I have taken at this University”. The survey also included Felder’s Inventory ofLearning Styles [1].Missouri S&T students that were currently enrolled in an EDV course were selected toparticipate. The survey was distributed via email
. Prentice Hall, 1999.[3] Patterson, E. T. “Just-in-Time Teaching: Technology Transforming Learning – A Status Report.” Invention andImpact: Building Excellence in Undergraduate STEM (Science, Technology, Engineering, and Mathematics)Education. American Association for the Advancement of Science, 2005.[4] Gavrin, A., Eileen M. Cashman, and Elizabeth A. Eschenbach. “Special session - just-in-time teaching (JiTT):using online exercises to enhance classroom learning.” Frontiers in Education -FIE '05. Proceedings of the 35thAnnual Conference, 19-22 Oct. 2005.[5] [10] Formica, S. P., J. L. Easley, and M. C. Spraker. “Transforming common-sense beliefs into Newtonianthinking through just-in-time teaching.” Phys. Rev. ST Phys. Educ. Res. 6.2.020106 (Aug
,benchmarking with other institutions could also prove beneficial to this institution.Bibliography 1. Hall, J. 2003. “Assessing Learning Management Systems.” Chief Learning Officer. January. 2. Petherbridge, D., & Chapman, D. (2007). Upgrading or Replacing Your Learning Management System: Implications for Student Support. Online Journal of Distance Learning Administration, X(I). 3. Watson, W.R., & Watson, S.L. (2007). An Argument for clarity: What are Learning Management Systems, what are they not, and what should they become. TechTrends, 51(2). 4. Lonn, S., & Teasley, S. (2009). Saving time or innovating practice: Investigating perceptions and uses of Learning Management Systems. Computers and Education
. The TIMS-provided Page 22.203.5experiment was modified in several ways. First, a careful distinction is made between powersignal-to-noise ratio, S/N, and the energy signal-to-noise ratio, Eb/No commonly encountered forplots of bit error rate (BER). The theoretical plots are actually in terms of Eb/No, although thevalues of S/N and Eb/No are approximately equal for the signaling in this experiment. Secondly,the observation of eye diagrams with various levels of noise is done in this BER experimentrather than as a separate experiment. Another modification was to have the students observe thesignal that has a pulse at each sampling time (called
Customer (VoC) analysis was performed by interviewing the Six Sigma team andNSDs asking key questions12. From the VoC information a SWOT (Strengths, Weaknesses,Opportunities, Threats) analysis was developed that provided information that was helpful inmatching the organization’s resources and capability to the competitive environment in which itoperates. The SWOT analysis created from the VoC analysis conducted during this project ispresented in table 1. Table 1: SWOT Analysis Strengths (S) Weaknesses (W) Willingness of the NSD to make changes Unavailability of convenient technology to access and
systems made of, and that hasbeen lost by integration, miniaturization, reusability, object oriented paradigms to list a few.The work on this platform will continue and hope that it will be included at several stages in theengineering technology program to try to bring a little more insight on how embedded systemswork and their basic components. Page 22.227.11References[1] W. Hohl, ARM Assembly Language: Fundamentals and Techniques: CRC, 2009.[2] S. Furber, "ARM System on a chip Architecture," 2000.[3] J. O. Hamblen, T. S. Hall, and M. D. Furman, Rapid Prototyping of Digital Systems: SOPC Edition: Springer, 2007
levelfor most students is not enough to work later on many projects.The department of Computer Science offers an introductory course with the objective to assiststudents in developing the skills necessary to succeed in the STEM areas. CCS0’s activities aredesigned to provide analytical challenges typical of STEM professions and to motivate additionalinquiry. It exploits programmed systems’ lenience at manipulating computation to providestudents with a review of foundational mathematical concepts in the context of graphicalmanipulation such as such as the use of nested for-range statements to enumerate the coordinatesof pixels within geometric objects. For the new course we modified the context of the programsto associate them with electric circuit
developed commercially, however, itreceived a significant boost in the late 1990’s when carbon aerogel (CA) – invented about adecade earlier – was proposed to be used as ion absorber in a CDI cell. In general, CDI isdeemed very efficient in many aspects – perhaps most important of which is its low energy use.In addition, a CDI system does not require high water pressure and it can be implementedwithout any membranes. These characteristics make CDI much more suitable for small-scalesystem implementation, which is relatively inexpensive to manufacture and maintain, facilitatingaccess to water purification in remote and/or poor areas. This is of increasing importance due toa number of factors: Earth’s population growth, which places unprecedented
NDSEG Graduate Fel-lowships (D.E.), and the NASA Aeronautics Scholarship (S.D.).Bibliography1. J. Santos, et al., "Instrumentation remote control through Internet with PHP," in IEEE International Conference on VECIMS, Istanbul, Turkey, 2008, pp. 41-4.2. H. A. Basher and S. A. Isa, "On-campus and online virtual laboratory experiments with LabVIEW," in IEEE SoutheastCon, Memphis, TN, 2006, pp. 325-30.3. D. Grimaldi, et al., "Java-based distributed measurement systems," IEEE Transactions on Instrumentation and Measurement, vol. 47, pp. 100-103, Feb 1998.4. W. Winiecki and M. Karkowski, "A new Java-based software environment for distributed measuring systems design," IEEE Transactions on Instrumentation and
obtained a B.S. in Physics from East China Normal University, a M.S. in Optics from Chinese Academy of Sciences, and a second M.S. in Biomedical Engineering from Purdue University. Her primary research interests relate to the professional development and mentoring of engineering graduate students. She is a student member of American Society for Engineering Education (ASEE).Phillip Dunston, Purdue University Phillip S. Dunston, Ph.D., is an Associate Professor in the School of Civil Engineering at Purdue University. He obtained his degrees (B.S., M.S., and Ph.D.) in civil engineering from North Carolina State University and then joined the Civil and Environmental Engineering faculty at the
, B.F., Problem-based education (PROBE): learning for a lifetime of change. Proc. 1997ASEE Annual Conf. and Expo., Milwaukee, USA (1997).15. Jensen, D.J., Wood, J.J., Dennis, S., Wood, K.L., and Campbell, M., "Design implementation and assessment of a suite of multimedia and hands-on active learning enhancements for machine design," Proceedings of IMECE, Page 15.1013.9 ASME International Mechanical Engineering Congress and Exposition, Orlando FL, November 2005, CD-Rom, IMECE2005-81599.16. Shakerin, S. and Jensen, D.D., “Enhancement of Mechanics Education by Means of Photoelasticity and the Finite Element Method
evaluation plan over successiveyears to develop a model for trans-disciplinary design courses at SU and beyond.AcknowledgementsThis work was carried out with the support of NSF 08-610- Innovations in Page 15.746.10Engineering Education, Curriculum, and Infrastructure (IEECI) Award EEC-0935168,and the support of the Syracuse University School of Architecture and the L. C. SmithCollege of Engineering and Computer Science at Syracuse University.BibliographyAtman, C. J. Adams, R. S. Cardella, M. E. Turns, J. Mosborg, S. Saleem, J. 2007 Engineering DesignProcesses: A Comparison of Students and Expert Practitioners. Journal of Engineering Education, 96(4)pg
Traditional Electrical Engineering Courses for Non-Traditional Students,” Proceedings of the 2008 ASEE Annual Conference, Pittsburgh, PA, June, 20083. M. Plett, D. Peter, S. Parsons, and B. Gjerding, "The Virtual Synchronous Classroom: Real Time Off-Campus Classroom Participation with Adobe Connect," Proceedings of the 2008 ASEE Annual Conference, Pittsburgh, PA, June, 2008.4. J. Crofton, J. Rogers, C. Pugh, K. Evans, "The Use of Elluminate Distance-Learning Software in Engineering Education," Proceedings of the 2007 ASEE Annual Conference, Honolulu, Hawaii, June, 2008.5. H. Salehfar, J. Watson, and A. Johnson, "Internet Based Class Presentations to Enhance Distance Engineering Degree," Proceedings of the 2003 ASEE Annual
participation of a student(s) who participated in the Afterschool Program?”one teacher responded: “Students enjoyed the aftershcool program and seemed to have abetter attitude towards math class”. This re-enforces the ideal that students participatingin afterschool programs have greater engagement in learning.Attitudes Towards MathStudents attitudes toward math were excessed over the 2-year period and are reported inFigure 7. The comments “I know I can learn math”, “Math is easy for me”, “I am sure ofmyself when I do math”, “Math has been my best subject”, “I think I could handle moredifficult math”, “I can get good grades in math”, “I am no good at math” were used toaccess the students condifence in math. The comment “Girls are as good as boys in math
-circuit programmer, and a CEENBoT™ operation manual containing schematics andexample C code. The lab assignments were completed as individual student assignments duringthe last 6 weeks of the 15 week semester course.The labs began with an introduction to controlling the CEENBoT™‘s stepper motors to achievebasic movement, and built upon this by integrating and controlling active sensors. The labobjectives required using bit-level C programming techniques and communication betweenmicrocontrollers to achieve robot control objectives using the integrated sensors. The labsculminated with an assignment that required students to apply the skills and sensors controlled inprevious labs to achieve autonomous wall following with feedback control. The four
University Press, 2000.12. Seymour, E., “The Loss of Women from Science, Mathematics and Engineering Undergraduate Majors,” Science Education, vol. 79, no. 4, 1995, pp. 437–473.13. National Research Council Board on Engineering Education, Report on Designing an Adaptive System, National Academy Press, Washington, D.C., 1995.14. Ambrose, S., et al., Journeys of Women in Science & Engineering, Temple University Press, Philadelphia, PA, 1997.15. Committee on Women Faculty in the School of Science, A Study on the Status of Women in Science at MIT, Massachusetts Institute of Technology, Cambridge, MA, 1999.16. Tierney, W., and E. Bensimon, Promotion and Tenure: Community and Socialization in Academe, State
Woolfolk: The educational psychology of teacher efficacy. Educational Psychology Review, 16, 153–176. 4. Ashton, P. T. & Webb, R. B. (1986). Teachers' sense of efficacy, classroom behavior, and student achievement. In P. T. Ashton and R. B. Webb (Eds.), Teachers' sense of efficacy and student achievement. 125-144. 5. Coladarci, T. (1992). Teachers' sense of efficacy and commitment to teaching. Journal of Experimental Education, 60(4), 323-337. 6. Midgley, C., Feldlaufer, H. & Eccles, J. S. (1989). Change in teacher efficacy and student self- and task-related beliefs in mathematics during the transition to junior high school. Journal of Educational Psychology, 81(2), 247-258. 7. Ross, J. A. (1992). Teacher
-produce the worldduring WWII. Innovation put us on the moon and fueled the computer and internet boom of the1990’s. Studies going back as far as 1959 have identified engineering creativity as a vitalcontributor to industry competitiveness and the national welfare. 1 A preponderance of literaturepublished in the past five years points to a lack of soft skills, including creative innovation, asfactors in declining global competitiveness. 2,3,4,5 At the root of this problem is a deeplyentrenched educational paradigm that does not encourage creative thinkers.This innovation was possible because there were people that not only understood engineeringprinciples; they also knew how to apply them in ways that satisfied a human need. Theseengineers were
to institute an Innovation Boot Camp. In short, the Innovation Boot Camp was an intensiveworkshop focused on teaching innovation in a collaborative hands-on environment.BackgroundKleppe (2001) noted dating from the late 1700’s to modern day, “a major source of technologicaladvancement has been the result of individual inventors [and] innovations” (p. 16); surprisingly,most technology and engineering programs around the U.S. do not explicitly teach innovation(Smoot, 2006). With the increasingly complex and competitive global market, and with newinterest and concern over environmental issues, biotechnologies, and so forth, many companies(American and foreign) are reforming how and in what they do business. Additionally manyacademic
tremendous growth to a pointwhere the World Wide Web (WWW) currently supports nearly 600 million virtual world usersworldwide with nearly half of those falling into the up and coming 10-15 year old age group.3Current reports also indicate that nearly 150 virtual world environments in existence today withthat number expected to grow to 900 or more within the next three years.4 The past two decadesthe Web has witnessed a 1990’s era, often referred to as Web 1.0, that focused mostly on read-only content and static HTML-based websites with early websites that were generally notinteractive and Web technologies concentrating mostly on linking documents between the ever-increasing numbers of Web servers.Over the past ten years Web users have shifted gears
Laboratory Improvement (CCLI) program. The authors also wish to thank student assistants Matt Bender and Brad Pols for their dedicated efforts.Bibliography 1. National Academy of Engineering. 2005). Educating the Engineer of 2020: Adapting Engineering Education to the New Century. Washington, DC: National Academy Press. 2. Cone, C., Chadwick, S., Gally, T., Helbling, J., and Shaffer, R. (2005). "Interdisciplinary Freshman Experience," Proceedings of the ASEE Annual Conference and Exposition, June 12-15, Portland, Oregon. 3. Helbling, J., Lanning, D., Madler, R., Beck, A., and McElwain, R. (2005). “Integrating Communications into Team-Taught Senior design Courses,” Proceedings of the ASEE Annual