preparation, 15 minutes for the dialogues, 10 minutes for the reflection phase)Material MTA New York City Subway map(s)10 General Routines overhead transparency (with instructions for students) Useful Words and Phrases overhead transparencyType of Activity prepared partner dialogueLanguage Focus present simple for general routines words and phrases for commuting describing daily activitiesGroup Size pairsLevel lower intermediateSkills reading, speaking, listeningPreparation The teacher distributes MTA York City Subway maps or photocopies a section for each student and produces the General
Conference & Exposition Proceedings, paper AC 2008-2314, 2008.[10] M. Clauss, B. Allison, M. Reuber, S. Birmingham, V. DiStasi, “A Successful Model for Engineers Stuying Abroad: A Foreign Study Center with Concurrent Instruction,” ASEE Annual Conference & Exposition Proceedings, paper AC 2008-1743, 2008.[11] M. Mariasingam, T. Smith, S. Courter, “Internationalization of Engineering Education,” ASEE Annual Conference & Exposition Proceedings, paper AC 2008-1144, 2008.[12] International Federation of Engineering Education Societies (IFEES), Retrieved on August 2008 from http://www.ifees.net/[13] G. L. Downey, et al., “The Globally Competent Engineer: Working Effectively with People Who Define Problems Differently
sections. This issue was previously discussed in section 3.1b of this paper. Summary of Student Achievement of Course Objectives and Quality of Instruction Course Objective Relates to Program Assessment Standard Results Accept- Continuous Improvement Outcome(s) a Instrument for (assuming able? Actions Planned (See syllabus for the This final complete statements.) Objective Exam only and Y/N average
processers were analyzed from various different manufacturers. The most inexpensiveof these five models is the Fuel Meister II which retails for $3,095. The prices for the fivepreassembled processors and the on-site assembled unit can be seen in Chart 2.The pre-assembled options are priced only for the processor and other components such aspumps, collection tank(s), and chemicals will still need to be purchased. The different pre-assembled options along with the manufacturers’ information can also be found in Table 3. Page 14.532.8 Table 3 – Preassembled Systems Name Source
. Page 14.1009.15Software. The column and bar graphs in this paper were made with Microsoft Excel 2007.However, dot plots and multiway plots are not in Excel’s native vocabulary. The options forcreating dot plots and multiway plots include: 1. Excel Add-Ins. Robbins2 points readers to an Excel macro written by Kenneth Klein for making individual dot plots and Vidmar7 shows how to use Excel for both dot plots and multiway plots. We have not tested these add-ins and so offer no opinion on their utility. 2. SAS: This popular commercial package for statistical analysis has a “multivariate” toolkit that includes multiway plots. 3. R: an open source software version of the commercial package called S. Both the R and S
gauge student progress relative tothe program objectives.As illustrated by column three in Table 2, data collected by the measurement tools do notnecessarily reflect a single program objective. Indeed, a single assessment activity may helpevaluate student academic progress in more than one area. Table 2. Relationship between Program Questions and Measurement Tools. Objectives are referred to with their numbers as listed in Table 1 of this paper. Evaluation Questions Measurement Tool Objective(s) Addressed by Data Obtained via Measurement Tool(s)Are mentees
Engineering, Inc.; MMS-A/E; Skidmore,Owings & Merrill LLP; Spencer Engineering, Inc.; Thorton-Thomasetti Group; andWalter P. Moore and Associates, Inc. The authors are very grateful to the Office ofInstitutional Research, Planning, and Assessment at Rose-Hulman for their assistancein developing and administering the surveys. The authors would also like to thankProfessor Mark Yoder from the Electrical and Computer Engineering Department atRose-Hulman for assistance with the Electrical Engineering examples.References1. Puri, P. S. (Moderator) “Computer Misuse – Are We Dealing with a Time Bomb?”, Forensic Engineering: Proceedings of the First Congress, Task Committee on Avoiding Failures Caused by Computer Misuse, Forensic Engineering Division
. WWW.cypress.com 10. http://edageek.com/2007/03/26/horizon-hobby-cypress-psoc/ 11. S. Patel, et al, Analysis of the Severity of Dyskinesia in Patients with Parkinson’s disease via wearable sensors. International workshop on wearable and implantable body sensor networks, 2006, pp. 123-126. Page 14.1275.7
Contractors of America. (2005). Construction Estimating & Bidding: Theory/Principles/Process, Publication 3505. Arlington, Virginia, AGC.8. bid. (2009). In Merriam-Webster Online Dictionary. Retrieved February 4, 2009, from http://www.merriam- webster.com/dictionary/bid9. Bidding. (2008). In Wikipedia, The Free Encyclopedia. Retrieved February 4, 2009, from http://en.wikipedia.org/w/index.php?title=Bidding&oldid=25481993410. R. S. Means. (2003) Building Construction Cost Data (61st ed.). Kingston, MA.11. Frank R. Walker Company. (1999). Walker’s Building Estimator’s Reference Book (26th ed.). Lisle, IL.12. Elder Flag. (2009). Retrieved February 4, 2009, from http://www.ederflag.com/index.htm
who previously had limited laboratory experience.References 1. S. Turhan, H. Yucel, and A. Demirba. Prompt gamma neutron activation analysis of boron with a 241Am-Be neutron source. J. Radioanal. Nucl. Chem. (262 3), pp 661-664, 2004 2. Journal of Radioanalytical and Nuclear Chemistry, http://www.springerlink.com/content/105692/ Page 14.603.6Page 14.603.7
-75/18, Earthquake Engineering Research Center, University of California, Berkeley, 1975-07, pp. 138. 2. Li, X. S., Chan, C. K., and Shen, C. K. (1988). "An automatic triaxial testing system." Advanced triaxial testing of soil and rock, ASTM STP977, 95–106. Page 14.173.8
February 6, 200910. Tumkor, S. and Pochiraju, K., Rapid Prototyping in the Design Methodology, ASEE Annual ConferenceProceedings, paper 2008-2307.11. Rodriguez, J. et al. Application Of Rapid Prototyping For Engineering Design Projects, ASEE Annual Page 14.1262.7Conference Proceedings, paper 2006-231712. Carlson, L. Rapid Prototyping to Cement CAD Modeling Skills, ASEE Annual Conference, 2005
. Page 14.315.2IntroductionAttracting students from underrepresented groups to engineering and retaining them hasbeen a struggle for engineering schools for many decades. Often what schools do to meetthis challenge is to develop special programs. These programs target at-risk students andare developed around one or more of three major themes such as: mentoring/advisement,financial support, academic acceleration/remediation or some combination of all three.The primary objective of such programs is to give the at-risk student what every s/heneeds in order to succeed in the engineering program of their choice. A number of theseprograms have shown considerable success at attracting, retaining and graduatingstudents from underrepresented groups with
received in both a “Signaland Systems” course where only a very limited amount of course time was devoted to DT topicsand in the “DSP” course which was devoted entirely to discrete time and DSP topics. We havetried using both the moving average model and the savings account model in the classroom and,while the vast majority of the discussions are identical, there is considerably more student interestin the savings account discussions.We encourage educators to try this somewhat unconventional example as a first introduction in acourse such as discrete-time signals and systems (DTSS) or digital signal processing (DSP).References[1] S. K. Mitra, Digital Signal Processing: A Computer-Based Approach, McGraw-Hill, 3rd edition, 2006.[2] Daniel McGinn and
, S. (2007). Deliberate Acts of Decency, Human Resource Magazine, Vol. 52 (7), pp. 97-99.8. Bolch, M. (2008). Nice Work, Human Resource Magazine, Vol. 53 (2), pp. 78-80.9. Morris, B. (2008). You have Victims Working for You. You have Batterers Working for You Too, Fortune Magazine, Vol. 158 (10), pp. 122-133.10. Powell,K. (2008). More than the Math, Human Resource Magazine, Vol. 53 (2), pp. 87-91.11. Thilmany, J. (2007). In Case of Emergency, Human Resource Magazine, Vol. 52 (11), pp. 79-83.12. Seligson, H. (2007). Jerks On The Job, The Times Newspaper, Sept 23, Section D (1),13. Lencioni, P. (2008). Minimizing Misery, Human Resource Magazine, Vol. 53 (1), pp. 79-81.14. Ocon, R. (2006). Issues on Gender and Diversity in
implicit critical thinking components. The criticalthinking portion of the assignment will help reinforce the importance of engineering reasoning tothe students. By making critical thinking an explicit outcome of the course, students should bebetter prepared to strengthen and enrich their critical thinking skills in future (upper level)courses.Also, planned in the revisions of the course is the creation of a standard case study evaluationrubric that will be used to evaluate parts of the case study assignments. This rubric will allowthe course instructor(s) as well as any TAs to consistently grade these assignments. Thisconsistency will allow the students to better understand where improvement is needed in theirassignments and more importantly
technician, Ray Rust, for hisdemonstration and insights offered while running the jet engine with biodiesel. Thismaterial is based upon work supported by the National Science Foundation under GrantNo. 0511322. Any opinions, findings, and conclusions or recommendations expressedin this material are those of the author(s) and do not necessarily reflect the views of theNSF. For further information please visit http://green.kettering.edu.Bibliography1. National Academy of Engineering (NAE). “Grand Challenges for Engineering.” Washington, D.C., February 15, 2008.2. “Kettering Industrial Ecology Team.” http://green.kettering.edu (accessed November 1, 2008)3. Lynch-Caris, Terri, Jennifer Aurandt, Craig Hoff, Andy Borchers, Jackie El-Sayed, Ben
6REFERENCESABET, 2007. Criteria for Evaluating Engineering Programs. www.abet.org. 21 pp.Atman, C. and S. Sheppard, 2008. Describing the Engineering Student Learning ExperienceBased on Center for Advancement of Engineering Education (CAEE) Findings. Presented at2008 Conference, American Society for Engineering Education. Pittsburgh, PA. June, 2008.Bolen, M.C., ed., 2007. A Guide to Outcomes Assessment in Education Abroad. The Forum onEducation Abroad. 238 pp.Council on Competitiveness, 2008. The Skills Imperative. Compete 2.0, Council onCompetitiveness. 40 pp.LeCompte, M.D. and J.J. Schensul, 1999. Designing and Conducting Ethnographic Research.AltaMira Press. 220 pp.NAE, 2008. Changing the Conversation: Messages for Improving Public Understanding
and Redesign the Business case for sustainabilityFigure 2: Different Methods of Instruction and Creative Activities Adopted within the CourseStructureConclusionThis paper demonstrated the re-design of a course on sustainability. The course will be offered toall students across campus. It seeks to build on this singular strength: diversity of educationalbackgrounds. This is done to try and enhance creativity of students insofar as the decisionmaking process is concerned. The authors intend to share the results of this unique experimentin future publications at this forum.References1. S. L. Hart, Beyond Greening: Strategies for a sustainable world
; Exposition, Pittsburgh, PA (2008).7. This information is available at the College Board’s website http://www.collegeboard.com. The 5th Annual AP® Report to the Nation, http://www.collegeboard.com/html/aprtn/pdf/ap_report_to_the_nation.pdf http://www.collegeboard.com/html/aprtn/pdf/ap_report_to_the_nation_raw_numbers_app_c.pdf. http://professionals.collegeboard.com/testing/ap/about8. Saul Geiser and Veronica Santelices. The Role of Advanced Placement and Honors Courses in College Admissions. Berkeley: University of California, 2004. http://repositories.cdlib.org/cshe/CSHE-4-04/9. Dougherty, C., Mellor, L., & Jian, S. (2006). The relationship between Advanced Placement and college graduation. (National Center for Educational
sigma: Statistical quality control and design ofexperiments and systems. Springer-Verlag, London.[2] Creveling, C. M., Slutsky, J. L., & Antis, D. (2003). Design for six sigma in technology and product development.Prentice Hall PTR, Upper Saddle, NJ.[3] Gryna, F. M. (2001). Quality planning & analysis (4th Edition). McGraw-Hill Irwin, Boston, MA.[4] Gryna, F. M., Chua, R. C. H., & Defeo, J.A. (2007). Juran’s quality planning and analysis for enterprise quality.McGraw-Hill, Boston, MA.[5] Summers, D. C. S. (2006). Quality (4th Edition). Pearson Prentice-Hall, Upper Saddle River, NJ.[6] The Six Sigma Green Belt Primer. (April 3, 2006). Quality Council of Indiana. West Terre Haute, IN
LabVIEW and its use in signals and systems and they can develop theirown LabVIEW programs. Student responses reveal that the visualization tools helped studentsimprove understanding of fundamental concepts such as aliasing and upsampling (95% ofstudents). In addition to the basic LabVIEW functions, the students responded that the functionsprovided in the Digital Filter Design and Control Design toolkits enabled them to design simplersystem representations.Bibliography1. Beyon, J. Y., “LabVIEW Programming, Data Acquisition and Analysis”, Prentice Hall PTR (Upper Saddle River,NJ), 2001.2. Oppenheim, A.V., Willsky, A.S. and Hamid, S., “Signals & Systems,” Prentice Hall Signal Processing Series,Hall PTR, (Upper Saddle River, NJ).3. Spanias, A
advance of internet technologytools developed in the1990’s has made it possible to access a facility or laboratory at distance.For example, some universities have changed traditional laboratory to the virtual one that take Page 14.97.2place in a traditional laboratory where some students can use the local lab workbenches andothers can perform the experiments remotely 2-3. Also, an internet accessed robotic system canradically enlarge the number of students that can participate in practical robotics projects and itimproves the quality of the learning environment provided by educators for these topics 4.Another example of an online laboratory course
Digital Age: Reconciling the Roles of Pedagogy,Technology, and the Business of Learning, IEEE Transactions on Engineering Management, November 2003.[4] Woit, D and D. Mason, “Effectiveness of Online Assessment”, SIGCSE ’03, February 2003.[5] Shen, J., K-E. Cheng, M. Bieber, and S. R. Hiltz, “Traditional In-class Examination vs. Collaborative OnlineExamination in Asynchronous Learning Networks: Field Evaluation Results, Conference on Information Systems,August 2004.[6] English, J., “Experience with a Computer-Assisted Formal Programming Examination”, ITiCSE ’02, June 2002. Page 14.925.8
Initiative, March 2006. Available on-line at http://www.educause.edu/7ThingsYouShouldKnowAboutSeries/7495, accessed Feb. 5, 2009. .2 EDUCAUSE, “7 Things You Should Know About… Lecture Capture,” EDUCAUSE Learning Initiative, December 2008. Available on-line at http://www.educause.edu/7ThingsYouShouldKnowAboutSeries/7495, accessed Feb. 5, 2009.3 http://www.apple.com/education/mobile-learning/, accessed Feb. 5, 2009.4 Hrastinski, S., “Asynchronous and Synchronous E-Learning,” EDUCAUSE Quarterly, 31(4), 2008.5 Russell, T.L., The No significant Difference Phenomenon, 5th ed. (Montgomery, AL: International Distance Education Certification Center), 2001.6 Felder, R.M., “A Longitudinal Study of Engineering Student Performance and
AC 2009-1627: FACULTY SCHOLARSHIP AND PROFESSIONAL CURRENCY: ASELF-ASSESSMENT MODEL FOR DEVELOPING AN EFFECTIVEPROFESSIONAL DEVELOPMENT PLANAhmed Khan, DeVry University AHMED S. KHAN, Ph.D., is a senior Professor in the EET dept. at DeVry University, Addison, Illinois. He received his M.Sc (applied physics) from University of Karachi, an MSEE from Michigan Technological University, an MBA from Keller Graduate School of Management., and his Ph.D. from Colorado State University. His research interests are in the areas of Fiber Optic Communications, Faculty Development, Nanotechnology, Application of Telecommunications Technologies in Distance Education, and impact of Technology on Society. He teaches
toward multi-core and parallel processingarchitectures, tomorrow’s computer scientists must be educated on the tools and methodologiesfor parallel computing. As educators, teaching parallel hardware and software today is vital togiving our students the tools they need to build tomorrow’s hardware and software. It is crucialthat parallel and distributed computing topics be integrated into computer science curricula.References:[1] Lin, Calvin and Lawrence Snyder, “Principles of Parallel Programming”. Pearson Publishing Company, 2008.[2] Moore, G.,” Cramming more Components onto Integrated Circuits”. Electronics 38, 8, 1995.[3] Brin, S., and L. Page, “The Anaotomy of a Large Scale Hypertexual Web Search Engine”. Technical Report, Stanford
to debug, seek and find information they need, andthe ability to understand and reverse-engineer poorly written documentation. The students’feedback and their final project presentation indicate that they have pride in their projectaccomplishments and have gained confidence in their engineering abilities.References:[1] ABET, www.abet.org, retrieved January 10, 2009.[2] Tichon, M., Seat, S., “Team toolbox: Activities and suggestions for facilitation project teams”, Frontiers in Engineering Education Conference, 2004, 34th Annual, session.[3] IEEE Computer Society/ACM Computing Curriculum - Computer Engineering, www.eng.auburn.edu/ece/CCCE/ , Retrieved on January 15, 2009.[4] IEEE Computer Society, www.computer.org/education/cc2001
, Understanding the Effects: What Happens When the “New” Wears Off in Teacher Training” Proceedings of 2008 American Society for Engineering Education Annual Conference, Pittsburgh, PA, 2008.iii Kolb, D.A., Experiential Learning: Experience as the Source of Learning and Development. 1984, New Jersey, Prentice-Hall Inc, 1984.iv Bloom, B, Mesia, B., and Krathwohl, D., Taxonomy of Educational Objectives. New York: David McKay, 1964.v Austin Children’s Museum, www.austinkids.org accessed on January 6, 2009.vi Kao, G., Lin, S., and Sun, C., Breaking Concept Boundaries to Enhance Creative Potential: Using Integrated Concept Maps for Conceptual Self-Awareness. Computers & Education. December 01, 2008;51(4