addition, by using an advanced course management infrastructure two other major barriers toscaling PBL learning, namely investment in course development and managing the more complexlogistics associated with PBL are largely overcome.2. AN INTRODUCTION TO PROBLEM BASED LEARNINGFirst implemented in the 1950’s by Case Western Reserve University and in medical schools in the Page 11.115.41970’s, problem-based learning (PBL) has now permeated throughout all levels of the education 3system, including K-12 (San Diego State University 2004). Additionally, PBL
University of Washington’s Department ofConstruction Management envisions experiential learning curriculum at the Pacific NorthwestCenter for Construction Research and Education.Bibliography: 1. Allison, D., Wills, B., Hodges, L. F., and Wineman, J. “Gorillas in the Bits.” Paper presented at the VRAISAnnual Conference, Albuquerque, NM., 1997. 2. Barab, S. A., Hay, K. E., Barnett, M., and Squire, K. “Constructing Virtual Worlds: Tracing the HistoricalDevelopment of Learner Practices.” Cognition and Instruction, Vol. 19, No. 1, 2001, pp. 47–94. 3. Catalano, G. D. and Catalano, K. “Transformation: From Teacher-Centered to Student-Centered EngineeringEducation.” Journal of Engineering Education, Vol. 88, No. 1, 1999, pp. 59-64. 4. Chi, M
the Study of Technology. Reston, VA.9. Department of Education and Science/Welsh Office (1990). Technology in the national curriculum. London: HMSO.10. Ministry of Education. Technology in the New Zealand Curriculum (1995). Wellington, NZ: Learning Media. Page 11.138.1111. Department of Education Northern Ireland (1992). Technology and Design. Bangor, Northern Ireland, DoENI. 1112. Stein, S.J., McRobbie, C. J., & Ginns, I. S. (2002). "Implications of missed opportunities for learning and assessment in
, andBrookhaven National Laboratories. We have followed an excellent format to recruit,secure funding and eventually place students in the national labs.IntroductionSince the late 1990’s the University of Texas at Austin Nuclear and RadiationEngineering Program has made a priority of placing of students with advanced degrees atthe national laboratories. The initial inception of this idea came under the auspicious ofthe Amarillo National Resource Center for Plutonium (ANRCP) where DOE funding wassecured to support research activities at the University of Texas at Austin, Texas A&Mand Texas Tech, with the hope of eventual placing students at PANTEX and othernational laboratories. At the University of Texas funding was also received to offer M.S.and
Site participants and supervising research projects.Table 1. REU Site management team members. Investigator Title(s) REU Site R&D Expertise Involvement Dr. Richard R. Schultz Associate Professor & Interim Chair, Principal Digital Signal and Electrical Engineering Investigator Image Processing; Embedded Systems Dr. George A. Seielstad Director, Northern Great Plains Center for Co-Principal Earth System Science
sequential layered courses in mathematicsand science followed by engineering science and in turn followed by professional-level,department defined upper division courses and a senior design component. Review of presentprograms at the eight government-run colleges, referred to in Table 1; supplemented with feedback from colleagues, and comments made by some recent graduates, have lead the author toarrive at the following apparent short comings and/or deficiencies in the present program(s).First, the program as a whole has become increasingly fragmented into what appears to the Page 11.1257.9student as almost independent parts. Most programs are
secondsession, all seven groups that made up the class contributed to the discussion. In the thirdsession, an invited speaker, a practitioner, would address the class, focusing on real issues andconcerns that only practitioners could address. During the final fifteen minutes of the thirdsession, the instructor would summarize the case pointing in the direction of: lesson(s) learned,discrepancies, if any, and how the presented case would relate to and/ or supplement theknowledge students have been exposed to in previous courses.Getting off to a good start is vital, so the first class session was an ideal opportunity to be clearabout expectations and to impress on the students that the success of the course depends on thecontribution of every student in
remained unanswered. Meanwhile technologycontinued to evolve.The department spent these years developing certificate programs and streamlining the programcurriculum. Downward trends in enrollment, shifts in market demographics, and changes in thelocal industry indicated that the traditional two-year program was no longer meeting thecommunity’s needs as well as it had at one time. Enrollment had dropped significantly in the late1990’s to early 2000’s which was due partially to a merger and name change undergone by thecollege during that time. The college, once named State Technical Institute, became SouthwestTennessee Community College and overnight ENTC lost a decades-long reputation for technicaleducation. The name change is considered by some to
electronic voting system and their learning outcomes. Journal of Computer Assisted Learning, Volume 21 (4) Page 260 - August 2005.7. Stuart, S. A. J., Brown, M. I. & Draper, S. W. (2004) Using an electronic voting system in logic lectures: one practitioner's application. Journal of Computer Assisted Learning, Volume 20, Issue 2, Page 95 - April 20048. Carnaghan,C. & Webb, A. (2005) Investigating the Effects of Group Response Systems on Learning Outcomes and Satisfaction in Accounting Education. Paper presented at the University of Waterloo accounting research workshop, the 2005 European Accounting Congress, the 2005 Annual Meeting of the Canadian Academic Accounting Association.9. Williams, J. (2003
into a position or velocity output (s = ut + 0.5at2).X Beginning of Test. Position in mm YX End of Test. Position in mm Y Page 11.960.7 Velocity (mm/sec)Various tests were performed to determine if the readings are repeatable.The
Intelligence, 22, (1984), 235-267. 3. Ballard, D. H. & Brown, C.M., Computer Vision, Prentice Hall, N.J., (1982). 4. Batchelor, B.G., Pattern Recognition, Plenum Press, N.Y., (1978). 5. Campbell, F.W., & Robson, J.G., Application of Fourier Analysis to the Visibility of Gratings, J. Physiol. 197, (1968), 551-566. 6. Gonzalez, R.C., & Wintz, P., Digital Image Processing, Addison-Wesley Publ. Co., MA. (1987). 7. Jain, A., K., Fundamentals of Digital Image Processing, Prentice Hall, NJ, (1989) 8. Lim, J., S., Two-Dimensional Signal and Image Processing, Prentice Hall, NJ, (1990). 9. Nagy, G., State of the Art in Pattern Recognition, Proc. IEEE, 56, (1968), 836-862. 10. Pedrycz, W., Fuzzy Sets in Pattern
Systems 1 course enrolledin the follow-up course, Power Systems 2.Bibliography1. PowerWorld Corporation, Champain, IL. PowerWorld Simulator Version 10.0 http://www.powerworld.com2. “Power System Analysis and Design”, Third Edition, by J. Duncan Glover & Mulukutla S. Sarma. Page 11.216.7
, "The Next Level in TC2K: Continuous Quality Improvement," published in the Proceedings of the 2004 ASEE Annual Conference and Exhibition in Salt Lake City, Utah, June 20-23. Available from http://www.asee.org/acPapers/2004-1262_Final.pdf. 4. Neff, Gregory and R. Roley, "Using the SME Certification Exam in TC2K or EC2000 Outcomes Assessment," published in the Proceedings of the ASEE 2004 Conference for Industry and Education Collaboration, February 3-6, 2004 at Biloxi, Mississippi. Available from http://www.pa.utulsa.edu/CIEC/Papers/neff_roley.pdf. 5. Neff, Gregory, S. Scachitti, and J. Higley, “Counting Down to 2004: Some Insights and Strategies for Satisfying TC2K While There is Still Time
accessed January 18, 2006.6. Humanmetrics, “Jung – Myers-Briggs Topology Test”, http://www.humanmetrics.com/cgi-win/JTypes2.asp. Last accessed January 18, 2006.7. eInstruction™, “Classroom Performance System”, http://www.einstruction.com/. Last accessed January 18, 2006.8. Bloom, B. S. et al., (1956) Taxonomy of Educational Objectives: The Classification of Educational Goals: Handbook 1: Cognitive Domain, David McKay Company, New York.9. Mazur, Eric, (1997) Peer Instruction: A User’s Manual, Prentice Hall, Upper Saddle River, New Jersey. Page 11.785.510. Harris, A. H., A Manual for the VaNTH
the Summer semester or Summer quarter(s), his/her cumulative GPA at the end of the Summer is used as the cumulative GPA for the Spring semester of that academic year. Semester 1 is the first semester of enrollment and can be either the Fall or Spring term as defined above. Non- enrolled semesters do not add to the number of semesters tracked in this study. • Cumulative GPA: Grade point average for all courses taken at the University as obtained directly from the SUCCEED LDB. When a cumulative GPA for a student is missing, the Census GPA at the beginning of the following semester for that student is used. The census GPA is the cumulative GPA at census point of a semester, typically two weeks
, R. (1998). Learning vs. Performance: Retention and Transfer of Knowledge and Skills from Long-TermMemory. In Building Expertise, Cognitive Methods for Training and Performance Improvement (pp. 83-94).Washington, DC: International Society for Performance Improvement.2 Garet, M. S., Porter, A. C., Desimone, L., Birman, B. F., & Yoon, K. S. (2001, Winter). What makes professionaldevelopment effective? Results from a national sample of teachers. American Educational Research Journal 38(4),915-945.3 Guskey, T. R. (1999). New perspectives on evaluating professional development. Paper presented at the annualmeeting of the American Educational Research Association. Montreal, 19-23 April.4 Guskey, T. (March, 2002). Does it make a difference
proxies for the program andcourse outcomes, all of these instruments deal directly with the outcomes themselves.2 Inthe following section, the three primary instruments that form the M.E.E.T.(“Measurement and Evaluation in Engineering Technology”) system will be described. 1. Student Performance. Faculty are presented with a list of their students, along with a list of the course-level outcomes associated with their course(s). They are asked to rate each student’s ability to perform each outcome using a 3-point scale (“Exceeded”, “Met”, “Not Met”). They are then asked to specify the evidence Page 11.915.2 used to make this judgment
confirms that rapid advances in Virtual Instrumentation programs on the one handand precise data acquisition technology on the other hand, enable the analysis of complexvibration problems to be feasible in a normal research laboratory.Students through this project were able to build a measurement set up for a solid structure and beconfident about their results by verifying their data using computer simulation. This project hasalso established an open-ended undergraduate research lab in the area of structural dynamics.AcknowledgmentsThe author acknowledges the support of Virginia State University’s Research Initiation Grant aswell as the U. S. Department of Education MSEIP Grant Number DUNS 074744624.Bibliography 1. LabVIEW, “Data Acquisition
, New Jersey Institute of Technology Linda A. Haydamous received a B.E. in Electrical Engineering with a minor in Information Technology from the American University of Beirut in 2005. She is currently an M.S. candidate in the Engineering Management program at New Jersey Institute of Technology, and is working as a graduate Research Assistant in Operations Research. She is a Student Member of the IEEE since 2003.Wissam Kazan, Stanford University Wissam S. Kazan received his B.E. in Computer and Communications Engineering with distinction from the American University of Beirut in 2005. He is currently an M.S. candidate in the Computer Science program at Stanford University, and is
workbook will be available through the SMEsometime in the near future. Over time, it may be possible to establish a growing and freelyavailable collection of workable DFX exercises through the contribution of thoughtful problemsfrom skilled design practitioners. No formal repository or mechanism is yet in place to do so, butthe authors will investigate the possibility of making this workbook ‘expandable’.References1. Andreasen, M., Kahler, S., and Lund, T., (1983), Design for Assembly, IFS Publications Ltd., U.K.2. Bakerjian, R., (1992) Tool and Manufacturing Engineering Handbook (vol 6) Design for Manufacturability,Fourth Edition, Mc Graw-Hill Book Co.3. Boothroyd, G., Dewhurst, P., and Knight, W. (1997), Product Design for Manufacture and
CoE students participating as mentees after the two-week trial period was Page 11.887.6320. Of the 320 mentees, 310 were freshman accounting for 26.8% of the entering freshman CoEpopulation. Original Number of Mentoring Program Participants as of 08/22/2005 381 Mentees, 79 Mentors 300 274 250 Total Num ber of S tudents
s = Atr * ( *Ds) / ( *Ds2/4*Pitch) = 0.0127Minimum Value of s = 0.45*(Ag/Ach-1)*f'c/fys= 0.0230 NG, use other spiral or reduce the pitchMaximum Axial Capacity: Pn(max) = 3794 kip Scale of the DrawingMaximum Axial Capacity: *Pn(max) = 2656 kip 1 : 3/32
production reports are eliminated and incoming and outgoingsigns are provided to allow the stations to be organized well, introducing the concept of 5-S. 5-Sis a Japanese philosophy of workplace organization where the central theme is to have a place foreverything and keep everything in its place, is practiced. In the second round, there is someimprovement in terms of the profit numbers, however the variation in between the forecastedproduction schedule and the actual customer requirement still produces excess inventory inbetween the operations, resulting in substantial chaos within the simulated cell.In the final round, the layout is created with kanbans in between the operations as shown inFigure 3, and the concept of Takt time is introduced. Takt
manufacturing engineering curricula into a substantively new format. The paper concludes with observations and measures of student response gathered in application of the four-stage model in the author’s classes.Context and Continuity: As a formal field for academic preparation, the discipline ofmanufacturing engineering has been evolving for only two or three decades. Through thesponsorship and leadership of the Society of Manufacturing Engineers, documents offeringcurricular structuring, suggested course content and focused central learning objectives appearedfrom the mid-1980’s through the 1990’s.1,2,3 Likewise, over the past ten years, competency mapsand gaps for various stages of manufacturing engineering careers have been published by SMEand
teachers meaningfulengineering-related research experience that they can draw upon to educate their students aboutengineering career opportunities.To date, the UH-RET site has hosted 25 participants from 17 schools in nine independent schooldistricts, with another 14 participants expected in the summer of 2006. The diverse nature of theHouston community allows RET participants to subsequently reach a wide range of ethnic andsocio-economic groups, including numerous under-represented minorities. Teachers who haveparticipated teach a variety of subjects and levels, including courses in mathematics, physics,biology, chemistry, computing, and technology.Each teacher works closely with an engineering faculty member and graduate student(s) toconduct
chart of DB v/s DBB looks as shown below. Page 11.402.4 DESIGN - BUILD Owner Design-Builder Fig. 1 DESIGN – BID - BUILD Owner Architect/Engineer General Contractor Fig. 2From the above organizational charts of the two very different project delivery systems, it isquite clear that the owner has to deal with a single entity
expensivepublic institutions.2 The for-profit schools make it easier to enroll than most non-profitschools. Some critics claim it is too easy to enroll and that the for-profits use pressuretactics.2,11 Abuses at for-profit schools in the 1990’s eventually led to a federal lawoutlawing incentive pay, commissions or bonuses for recruiters. There have also beencomplaints about the web advertising used by for-profits.12 The for-profit schools claimrecruitment abuses no longer occur; however, the University of Phoenix did settle complaintsby paying the largest fine ever levied by the U.S. Department of Education.13 Also, withmore than 5000 “enrollment counselors” at the University of Phoenix11 and more than 500“undergraduate admissions representatives” at
Thompson, Michigan State University BRIAN S. THOMPSON Brian S. Thompson is a Professor of Mechanical Engineering at Michigan State University. Currently he serves as the Departmental Design Coordinator. Dr. Thompson has published in the following areas: mechanisms, smart materials, composite materials, flexible fixturing, robotics, variational methods and finite element techniques. He received a BSc and MSc from Newcastle University, England, in 1972 and 1973 respectively, and a Ph.D. from the University of Dundee in Scotland in 1976.Alan Haddow, Michigan State University ALAN HADDOW Alan Haddow is an Associate Professor of Mechanical Engineering at Michigan State University. Currently