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
improvement in the capstone courses. The first module is anintroduction to systems engineering while other modules relate to systems engineering toolsthat are taught „just-in-time‟ to support completion of the capstone design projects.Implementation Method:The SE training modules were developed by an Industrial and Systems Engineering facultymember under the consultation of the Assistant Director of Wayne State University‟s Office ofTeaching and Learning.The process began with the development of an instructional design matrix which included:Instructional Goal, Objectives, Assessment Methodology, Information Presentation, Practiceand Feedback, and the Media and Materials to be used (4). An example of an InstructionalGoal was: “Students will be able to
goodpartners/partnerships, and identifies some of the benefits for the parties involved.Introduction: Engineering is ElementaryEngineering is Elementary (www.mos.org/eie) is a research-based, standards-driven, andclassroom-tested curriculum developed by the Museum of Science, Boston that integratesengineering and technology concepts and skills with elementary science topics. EiE materialsalso connect with literacy, social studies, and math. Each of the 20 EiE units reinforces oneelementary science topic, focuses on one field of engineering, and is set in a different country.The units each begin with an illustrated storybook in which a child confronts a problem. S/hesolves it with the mentoring of an adult engineer who introduces the child to the
. Page 22.1342.918. Marceglia S, Bonacina S, Mazzola L, Pinciroli F. Education in biomedical informatics: learning by doing bioimage archiving. Conf Proc IEEE Eng Med Biol Soc. 2007;2007:5924-5928.19. Newstetter WC. Fostering integrative problem solving in biomedical engineering: the PBL approach. Ann Biomed Eng. Feb 2006;34(2):217-225.20. Sachdeva AK. Surgical education to improve the quality of patient care: the role of practice-based learning and improvement. J Gastrointest Surg. Nov 2007;11(11):1379-1383.21. Van Ginneken CJ, Vanthourout G. Rethinking the learning and evaluation environment of a veterinary course in gross anatomy: the implementation of an assessment and development center and an E-learning
italics were from a previous year. Students were provided the same detailedinformation in the syllabus about the desktop module as in Year 1, but were told that last year’sstudents already completed that. The Year 2 students were told that they were to modify thoseprojects to fix short-comings indicated in the assessments from Year 1. Relevant project reportswere handed over (with grades redacted), which gave the new student teams a place to start. Theywere also given the name of the team leader from the previous year(s) to use as areference/resource.In an effort to help mitigate students back-loading the work on the project to the end of thesemester, teams were required to hand in a weekly memo, which updated the instructor on theprogress on
. & Fig. 4. (i) Fuzzy Inference System and (ii) Output P Z NS NM Membership functions.Table 1 provides the fuzzy tuning rules for the Mamdani type direct fuzzy controller used for thespeed control of the DC servo-motor.Figures [3] and [4] give a schematic overview of the Mamdani type fuzzy controller5,6 developedusing MATLAB‟s Fuzzy Logic Toolbox(FLT) for the servo-motor speed control. The FLTprovides five graphical user interfaces (GUI) tools for building, editing, and observing fuzzyinference systems(FIS): (i)FIS editor (Fig 3),(ii) the Membership Function Editor that is used forboth the input space and output space ( Fig 4), (iii) the Rule Editor(Fig 5), (iv) the SurfaceViewer(Fig 6) and (vii) the
start here); the “Laplace Transform background” topic has an occurrence which is a webpage describing background necessary to continue in the topic. Other topics are arranged aroundthe main topic. Page 22.1535.7If, for example, the student wants to learn about the Laplace transform table s/he can select thattopic and bring it to the center. Clicking on the encircled “4” reveals occurrences associatedwith the topic as shown in figure 6. In this case this is four links; one to a Laplace transformTable, another describing how the table is used, a third one with some examples, and a last onewith problems to be completed. Figure 6: Topic of
activities to foster student learning. Finally, we would like tothank the National Electrical Contractors Association Green Energy Challenge which inspired us todevelop this project.Bibliography1. Bonds, C.; Cox, C. III; and Gantt-Bonds, L. “Curriculum Wholeness through Synergistic Teaching.” The Clearing House 66/4 (1993): 252-254.2. Bonwell, C.C. and Eison, J.A. Active Learning: Creating Excitement in the Classroom. ASHE-ERIC Higher Education Report No. 1, George Washington University, 1991.3. Felder, R.M. and Brent, R. Cooperative Learning in Technical Courses: Procedures, Pitfalls, and Payoffs. ERIC Document Reproduction Service Report ED 377038, 1994.4. Hanna, Awad S., Russell, Jeffery S., Gotzion, Timothy W., and Nordheim
frontier: an empirical exploration. ResearchEvaluation 2006, 15, (1), 17-29.10. Fruchter, R.; Emery, K. In Teamwork: Assessing cross-disciplinary learning, Conference on Computersupport for collaborative learning, Palo Alto, CA, 1999; International Society of the Learning Sciences: Palo Alto,CA, 1999; p 19.11. Schaffer, S. P.; Lei, K.; Paulino, L. R., A framework for cross-disciplinary team learning and performance.Performance Improvement 2008, 21, (3), 7-21.12. Muis, K. R.; Bendixen, L. D.; Haerle, F. C., Domain-generality and domain-specificity in personalepistemology research: Philosophical and empirical reflections in the development of a theoretical framework.Education Psychology Review 2006, 18, (1), 3-54.13. Klein, J. T
to examine impact andeffectiveness will be needed. REFERENCES1. Schneider, C.G. and D. Humphreys, Putting Liberal Education on the Radar Screen. Chronicle of Higher Education, 2005. 52(5): p. B20-B20.2. Alexander, L. (2010) A federal Impediment to quicker degrees. Inside Higher Ed.3. Nationl Center for Education Statistics, Persistence and Attainment of 2003-04 Beginning Postsecondary Students: After 6 Years, T. Hunt-White, Editor. 2010, U S Department of Education: Washington, DC.4. Brainard, J. and A. Fuller, Graduation Rates Fall at One-third of 4-Year Colleges, in The Chronicle of Higher Education. 2010: Washington, DC.5. Atman, C.J., et al., Enabling
”, Information and Management 43 (1) (2006), pp. 15–273. P. Herder, E. Subrahmanian, S. Talukdar, A. Turk, W. Westerberg, “ S”. “The use of video-taped lectures and web-based communications in teaching: A distance-teaching and cross-Atlantic collaboration experiment”, European Journal of Engineering Education, Vol. 27, Issue 1, pp. 39 – 48, March 2002 Page 22.1335.7Appendix A LECTURE VIDEO SURVEY This questionnaire is designed to assess your perceptions of the use of lecture videos as a means to increase time for in class problem solving applications. Please answer the questions as
Weight Outcomes /Performance Questions Value Classification of test Criteria #s Use basic laws (Ohm’s 3(b) – 3: Apply Knowledge 1/(30) 2 1.89 law, power law, appropriate Comprehension 1/(29) 3 2.83 Kirchhoff’s law) to knowledge of Analysis 1/(24) 5 4.72 analyze and solve series scientific, circuits, parallel
of the each classperiod which the students were required to answer prior to the start of the next class period. Todo so, students were required to log into a course management system (CMS), within which thequestions were posted. For these classes, the chosen CMS was Blackboard, but similartechniques could be used in other CMSs. Immediately after answering the questions, studentswere provided with the correct response(s) to the question. In addition, the answers were alsoused as part of a brief recap of that lecture during the next class period, and time was madeavailable for discussion about the questions. Page 22.1528.2The remainder of the
. S. Monemi, B. Watkins, C. Bolton, A. Manimbo, Y.C. Tsang, N. Patel, J. Gurr, J. Huynh, “Smart Grid Design and Implementation” Senior Project Report, Cal Poly Pomona, June 2010.2. S. Monemi, “An outage Restoration Management System for Power Distribution Networks” ESRI Electric and Gas user conference, Fall 1999, Phoenix, AZ.3. Brown and Vranesic, “Fundamentals of Digital Logic with Verilog Design”, 2003, McGraw Hill.4. R.C. Jaeger and T.N. Blalock, “Microelectronic Circuit Design”, 4th Ed., McGraw Hill, N. Y. 2008.5. Mazidi, McKinlay, and Causey, “PIC Microcontroller and Embedded systems using assembly and C for PIC18”,Pearson, Prentice Hall, 2008
3. T The EYELET T model. Figure 4. The T TAPER COLLAR C M Model and Drrawing.ResultsConceptss for each assignment weere reviewed d to determinne which couuld be easilyy identified aandmeasured d within eachh student’s solid s modelinng file. Therre were 13 m measureable conceptsidentifiedd for the ROOD GUIDE model
Commission are not responsible for any use that may be made of the information contained herein.References1 Marginson, S., & van der Wende, S. (2006, September). Globalisation and higher education. [draft #2b, prepared for OECD]. Paris, France: OECD.2 Bhandari, R. (2009, February). Key Research in U.S. Study Abroad: Findings from the Institute of International Education’s Study Abroad Capacity Series. Paper presented at Emerging Directions in Global Education 2009 conference, Feb 9-11, New Delhi, India: IIE (New York).3 Committee on Enhancing the Master’s Degree in the Natural Sciences, the Board on Higher Education and
-3013.2. Kwak, H.S., Park, S.K., Kim, D.S. (1996). Biostabilization of Kefir with a Nonlactose-Fermenting Yeast. Journal of Dairy Science, 79(6), 937-942.3. Marshall, V.M, and Cole, W.M. (1985). Methods for making kefir and fermented milks based on kefir. Journal of Dairy Research, 52, 451-456.4. Marshall, V.M., Cole, W.M., and Brooker, B.E. (1984). Observations on the structure of kefir grains and the distribution of the microflora. Journal of Applied Bacteriology, 57, 491-497.5. Oakes, W., Sharvelle, S., Banks, M.K., Brock, B., Brophy, S. (2007). Achieving graduate competencies through an authentic design experience in a wastewater treatment course. AC2007-614, ASEE Annual Conference and Exposition, Honolulu, Hawaii
detention) are prohibitively expensive. A ‘Green Infrastructure for Clean Water Actof 2010’ bill (S. 3561) was introduced into the U.S. Senate in summer 2010 to provide incentivesfor more communities to adopt such practices. Based on these developments it is evident that 21stcentury stormwater management involves a more holistic, ecological-based approach to designthan civil engineering students have learned in previous decades. This approach integratestraditional civil engineering with environmental science and engineering, landscape architecture,and ecology, making it an exciting challenge for civil & environmental engineering academicsand professionals.An opportunity for campus-based sustainable stormwater retrofitsBecause the majority of
, March, 1981.[3] Powell, J. V., Aeby Jr., V. G., and Carpenter-Aeby, T., “A comparison of student outcomes with and without teacher facilitated computer-based instruction,” Computers and Education, vol. 40, no. 2, pp. 183-191, February, 2003.[4] Nagel, L. W., “SPICE2: A Computer Program to Simulate Semiconductor Circuits.” Tech. Rep. UCB/ERL M520, University of California, Berkeley, 1975[5] Sedra, A. S. and Smith, K. C., Microelectronic Circuits, 6th ed., Oxford University Press, 2010.[6] Hambley, A. R., Electronics, 2nd ed., Prentice-Hall, Upper Saddle River, NJ, 2000.[7] Razavi, Fundamentals of Microelectronics, Wiley, 1st ed., 2008.[8] Horowitz, F. and Hill, W., The Art of Electronics, 2nd ed., Cambridge University Press, NY, 1989.[9