Priviledges and Watchlist Statistic Black List s and (IP or Block Loggin Username ) User Group (Different Projects ) PACE Global Vehicle
Solving: The Path-Mapping Approach,” Cognitive Science, Vol. 25, 2001, pp. 67-110.[14] Mayer, R. E., “Cognitive, Metacognitive, and Motivational Aspects of Problem Solving,” Instructional Science, Vol. 26, 1998, pp. 49-63.[15] Cho, K.L., and D. H. Jonassen, “The Effects of Argumentation Scaffolds on Argumentation and Problem Solving,” Educational Technology: Research & Development, Vol. 50, No. 3, 2002, pp. 5-22.[16] Dunkle, M.E., G. Schraw, and L. D. Bendixen, “Cognitive Processes in Well-Defined and Ill-Defined Problem Solving,” Paper presented at the annual meeting of the American Educational Research Association, San Francisco, USA, 1995.[17] Hong, N.S., D. H. Jonassen, S. McGee, “Predictors of Well
.Hoyles, C. and Sutherland, R. Logo Mathematics in the Classroom. Routledge, Chapman and Hall, New York, NY, 1989.Papert, S. Mindstorms: Children, Computers and Powerful Ideas. Basic Books Inc., New York, NY, 1980.Papert, S. Children’s Machine: Rethinking School in the Age of the Computer. Basic Books Inc., New York, NY, - 1993.Watt, D. Learning with Logo. McGraw-Hill Book Company, New York, NY, 1983.Watt, M. & Watt, D. Teaching with Logo: Building Blocks for Learning. Addison-Wesley Publishing Co., Menlo Park, CA, 1986.Weir, S. Cultivating Minds: A Logo Casebook. Harper & Row Publishers, New York, NY, 1987.Appendix B: Example of a
cross walking techniques continue to help us make progress while providing us withthe flexibility to adapt to rapid changes in the volatile environment.Bibliography1. M. Bakia, “The Cost of Computers in Classrooms: Data from Developing Countries.” Mimeograph, Page 13.39.14Washington: The World Bank. 2000.2. E. Brewer, M. Demmer, B. Du, M. Ho, M. Kam, S. Nedevschi, J. Pal, R. Patra, S. Surana, K. Fall, “The Case forTechnology in Developing Regions,” IEEE Computer Society, June 2005.3. A. Cawthera, “Computers in Secondary Schools in Developing Countries: Costs and Other Issues” (2001)http://www.dfid.gov.uk/Pubs/files/computersinsecschoolsedpaper43
greatest force on which particle(s)?Table 1 shows that there is no significant difference in the average performance on the pre-testand post-test on question (5). The most common incorrect choice for question (5) was option (b)because students used the redundant information about angle provided and had difficultyvisualizing the problem in three dimensions. The correct answer is option (e) because thevelocity of all of the three charged particles is perpendicular to the magnetic field. Writtenexplanations and interviews suggest that some students incorrectly used the superfluousinformation provided about the angles that the charged particles (1) and (3) make with thehorizontal. During interviews, only when the students choosing option (b) were
scholarship.”([2], p. 17). Achieving such recognition and rewards would beof value to new faculty. Therefore, it is in the long-term interests of new faculty that thisprecursor discussion targeting administrators be held.Our particular focus is scholarly teaching by engineering faculty. The NRC has recognized thatthere are distinct differences in the ways the various disciplines approach teaching andlearning([2], p. 5). Three linked events have prompted changes in the instructional environment forengineering faculty and created an opportunity for increased attention to evaluation of teaching: ‚ In the late 1990’s the system of accreditation for undergraduate engineering degrees shifted from a focus on process to a focus on student learning
insulation to provide a level surface tosecure the water pipes (Figure 5b). Cross-linked polyethylene (PEX) tubing was selectedfor ease of installation and its ability to withstand the expected 30 psi circulationpressure. A second three-inch pour covers the tubing to a depth of two inches (Figure5c).The orientation, diameter and length of the PEX tubing required was determined using aConduction Shape Factor, S, for rows of equally spaced parallel, isothermal cylindersburied in a semi-infinite medium12. The distance from the top surface of the pad to thepiping is 2”, the distance from the piping to the insulation below is 3”. The use of asemi-infinite shape factor, when the geometry is clearly not semi-infinite is supported bythe addition of
for far transfer. Psychological Bulletin 128: 612-637; 2002.Bransford JD, Schwartz DL. Rethinking Transfer: A Simple Proposal with Multiple Implications. In: Iran-Nejad A, Pearson PD, editors. Review of research in education. Washington, DC: American Educational Research Association; 1999: p 61-100.Brewer WF, Chinn CA, Samarapungavan A. Explanation in Scientists and Children. Minds and Machines 8: 119-136; 1998.Brown JS, Collins A, Duguid P. Situated Cognition and the Culture of Learning. Educational Researcher 18: 32-42; 1989.Carey S. On the origin of causal understanding. Causal cognition: A multidisciplinary debate: 268-308; 1995.Cobb P, Bowers J. Cognitive and Situated Learning Perspectives in
AC 2008-207: ACTIVE AND COLLABORATIVE LEARNING EXERCISES FOR AFIRST COURSE IN FLUID MECHANICSStephen Turns, Pennsylvania State University Stephen R. Turns, professor of mechanical engineering, joined the faculty of The Pennsylvania State University in 1979. His research interests include combustion-generated air pollution, other combustion-related topics, and engineering education pedagogy. He has served as an ABET mechanical engineering program evaluator since 1994. He has received several teaching awards at Penn State, including the Milton S. Eisenhower Award for Distinguished Teaching. He is also the author of three student-centered textbooks: An Introduction to Combustion: Concepts and
Science Education, 21(10), 1051-1066.8 Southerland, S., Kittleson, J., Settlage, J., and Lanier, K. (2005). Individual and group meaning-making in an urban third grade classroom: red fog, cold cans, and seeping vapor. Journal of Research in Science Teaching, 42(9), 1032-1061.9 Bandura (2001). Social Cognitive Theory: An Agentic Perspective, Annual. Reviews of Psychology. 52, 1–26.10 Bandura, A. (1997). Self-Efficacy: The Exercise of Control. New York, NY: W.H. Freeman and Company.11 Pajares, F. ( 2007) viewed on January 2, 2007. http://www.des.emory.edu/mfp/eff.html12 Lent, R.W., Lopez, F.G., and Bieschke, K.J. (1991). Mathematics self-efficacy: Sources and relations to science- based career choice. Journal of Counseling
teaming and leadership skills. We suggest employing thefollowing tactics to rebuild an officer group. First, obtain the names and emails for the20 top GPA students in the freshman, sophomore, and junior classes in the appropriatemajor(s). Email these students, inform them about the organization and the opportunitiesavailable to serve as officers, and ask them to attend an organizational meeting or cometo your office individually to discuss the possibilities. An important aspect of thisrecruitment is convincing these students that there is value added in the activity. Thougheach organization is somewhat different, the main value added deals with thedevelopment and demonstration of attributes that are not technical in nature (peopleskills
advisors at targeted high schools in the college’sservice area or targeted recruiting area. Thirty minutes is sufficient to explain Day in College andthe nomination process, but more time may be needed if other college programs and services are Page 13.667.2to be presented during the visit. These appointments should be scheduled two to three monthsbefore the Day in College event.2. The college’s best recruiter(s) should be selected and sent on these appointments.3. College recruiter meets with the high school advisor and outlines the purpose and targetaudience for Day in College. Next, the nomination process is explained by focusing on
software, further optimization is required by doing a series of testruns.Even for small-manufacturing runs, this approach can be applied. The performance baselinesmake a very good starting point to help use the machine’s capabilities fully. A well-plannedapplication of HPM can see a 50% or better cycle time reduction, increasing the manufacturingthroughput by a factor of two. The time expended in applying HSM methodologies pays offalmost immediately, since the performance gains can be applied to manufacturing processes forboth existing and new parts.Bibliography1. Woody, B. A. & Smith, S. K. (2006). High Speed Machining Technology Basics, SME Technical Report.2. Arone, M. (1998). High Performance Machining. Hanser Gardner Publications.3. Oberg
of 1300 m/s?Aircraft altitude: 12 kmBurner air inlet temperature: 320 KBurner pressure: 8 times the ambient pressure Page 13.1143.5Problem 4Consider an aircraft flying at 120 m/s at 5 km with the following characteristics: Aircraft mass: 7,000 kg Wing pitching moment: 800 Nt⋅m Wing lift: 50,000 Nt Wing aerodynamic center: 2.5 m ahead of the center of gravity Tail wing pitching moment: 0 Nt⋅mDetermine the tail wing lift and position required for pitch trim condition.Problem 5Determine the combustion chamber temperature required for the turbojet engine describedbelow.Aircraft speed: 120 m/sAircraft altitude: 7
students’ emotional andpsychological pattern in service learning. In order to increase effectiveness of service learningoutcomes, faculty members must understand specific cognitive process. Contributing designsolutions of the built environment is a valuable goal for both students and the community.Bibliography1. Ash, S., Clayton, P. and Atkinson, M. (Spring, 2005). Integrating Reflection and Assessment to Capture and Page 13.299.11Improve Student Learning . Michigan Journal of Community Service Learning. Volume 11. No.2. 102
Dandu, Kansas State University at Salina Raju S. Dandu is the program coordinator and professor of Mechanical Engineering Technology at Kansas State University at Salina. He teaches courses in CNC Machine Processes, Material Strength and Testing, Advanced CAD/CAM, Industrial Instrumentation and Controls, and Automated Manufacturing Systems II. He is active in offering workforce training in reliability centered maintenance, CE certification, process instrumentation and PLCs. His areas of interest are: Product risk analysis, Reliability Centered Maintenance, Energy Efficient Lighting, CAD/CAM, and Industrial Automation. He is a member of ASEE, ASME, SAE, and SME
be used, S and L types as shown in figure 6 below. Round hole punches 8 mm and 25 mm and a carpenter’s chisel (3/4 inch) was successfully used to cut out the specimens. Thus the uniformity can be guaranteed. (a) (b) Figure 6: Two standard specimen (a) type L and (b) type S.Precautions The specimen should not be too tightly fastened to the strike plate or the base. Else some bending may be introduced if specimen is not perfectly aligned. Avoid any not smooth cut as any notch would prompt a fracture and skew the results lower. Take multiple measurements at various locations on the gage length as it is uncertain exactly
are teaching courses in the sustainability area. We have identified universities from 15 states and the 3Page 13.115.4 District of Columbia which are teaching college level courses in the area of sustainability. The project team is checking on the web and using various databases to determine the courses listed on the university “books” as being taught in their departments, with the goal being to develop a questionnaire/survey to be sent to the department head and engineering dean to identify (a) how frequently these courses are taught, number of students who took these classes, etc., and (b) a copy of the course syllabus and information on the textbook(s) used. This
Society for Engineering Education Annual Conference & Exposition. [Pennsylvania State University]10. Varde, Keshav S. “Effects of Pre-Freshman Program for Minority Students in Engineering”, Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition. [University of Michigan-Dearborn]11. White, Carl, Myra W. Curtis, and Clifton S. Martin. “Pre-Freshman Accelerated Curriculum in Engineering (PACE) Summer Bridge Program”, Proceedings of the 2001 American Society for Engineering Education Annual Conference & Exposition. [Morgan State University]12. Office of Engineering Student Services, University of Wisconsin-Milwaukee, 2007.13. Ohland, Matthew W. and Elizabeth R. Crockett
Plan a AssessProject facts about describe the e or and review unified likely levelProposal a problem problem illustrate the possible approach to of success; to be solved expected implication solution predict use of the s of the (timeline, value of proposed proposed budget, proposed solution. solution. personnel). solution
approach expanded to ceramiccomposites in the form of columns.In the lab, students simulate composite columns and use a smart spreadsheet to help optimizetheir design for engineering performance, including ‘specific’ properties. Parameters arediscussed and evaluated before the column is made. The composite is then fabricated. Finally,the composite is tested and the experimental data (‘critical load’ for columns) is compared topredictions.Introduction:The National Educator’s Workshop requires certain information be provided in the manuscript.This information includes ‘Key Words’, ‘Target Grade Level(s)’, ‘Prerequisite Knowledge’,‘Objectives’, and ‘Equipment and Supplies Needed’ are shown below. A traditional‘Introduction’ appears subsequently.Key
, then Case 3.1 (See Appendix III, Figure 3 - 3.1) and the ATAapproach would be used.Some other observations about this case: Minimum effectiveness and maximum budgetconstraints were not considered. Obviously, if these are known, they would influence thedecision.Also, the gap in Capital Cost and Life Cycle Cost is large compared to the reduction in downtimehours. That may mean that other cases like III A, etc. should be examined. It appears that theremay be an ‘S” curve in Cost Effectiveness between Tier III and IV.Implications for Engineering Economics (EE) EducationThis case illustrates how the analysis method, Figures of Merit and decision criteria areinfluenced by downtime estimate units and whether this estimate should be included as part
by the “PQRSTU” wave. A ventricular fibrillation arrhythmiaoccurs (right) when abnormal electrical activity upsets the heart’s normal contract-relax cycle. Page 13.683.4For selected abstracts, the authors were invited to submit a full proposal that consisted of a five-page document that elaborates on the key elements of the abstract. The review criteria employedfor the abstracts and proposals are threefold: relevance, quality, and discovery.‚ Relevance: Does the proposed project address a problem whose solution(s) benefits society? Is the project presented in the context of a real-world, contemporary
4 teams composed ofbetween 4-5 students. Table 4 lists the titles of the problems selected by each team.Table 4: Problems identified by each team in OLS 350 (Fall 2007)Team 1 (5 members): How to Deal with Workplace BulliesTeam 2 (4 members): How to Improve Student Retention at Purdue University CalumetTeam 3 (5 members): How to Improve Parking Concerns for Students with Disabilities at PurdueUniversity CalumetTeam 4 (4 members): How to Improve Teachers at Purdue University CalumetThe author will discuss Team 3’s problem solving case study, “How to Improve ParkingConcerns for Students with Disabilities at Purdue University Calumet.”1. Facts Surrounding the ProblemHistorically, Purdue University Calumet, along with many other universities
reassign teams two or three times during thesemester.The EMA Laboratory has seven basic stations to accommodate 14 to 16 students. Students work Page 13.734.4in groups of two or three. Each basic station is equipped with a PC, digital oscilloscope, digitalmultimeter, power supply, function generator and data acquisition board. The data acquisitionhardware and software is the NI PCI-6024E from National Instruments (200kS/s, 12 bit, 16-Analog-Input, 8 digital I/O lines, two 24-bit counters) and LabVIEW® 7.1. Figure 1 shows abasic EMA Lab station. Figure 1 - Basic Electromechanical Analysis Lab StationBesides these basic stations
, the presence of these two sources must be clearly defined.Objective1. Select site(s) on KNUST campus where measurements will be taken.2. Determine frequencies of transmitting stations.3. Measure and map the coverage of detectable sources of radio and TV broadcasts.Equipment ListRF AnalyzerGlobal Positioning System (GPS)Surveyor’s TapePegs and RopeCamera for recording measurement site(s) and equipment set-upMeasurement Procedure1. Record the date, time and weather condition.2. Use the GPS to determine coodinates of points where measurements will be made.3. After powering on the RF Analyzer, select Step Frequency of 20kHz.4. Select the scan mode from the main menu
SES affected students’ level of university involvement and indirectly impacted graduateschool attendance.SES for college students is most often based on family income (typically a numerical range),mother’s and sometimes father’s education, and/or one or more parent’s occupation(s). Entwisleand Astone8 advocated using three types of capital when calculating SES for youth: financial(based on income), human (based on mother’s education level) and social (based on number ofadults in the home). While we were intrigued with their model, there was insufficient guidancein the research literature as to how these factors were operationalized.SES is challenging to operationalize. There is high non-response rate to questions about familyfinancial
classes as pertain to the students in the receiving institution. a) The designated student(s) must have completed at least one year of study at the home institution before beginning the exchange period. Exchange students must have an overall GPA of 2.5 out of 4.0 or better at the time of application and at the time of the exchange. While students nominated by the home university will normally be accepted by the host university for exchange, the host university retains the right to review the students nominated for exchange Page 13.724.7 and to make
instruction. However, the small differences between theaverage post-test scores and gains for the experimental and control groups are notstatistically different. Therefore changing the order in which the modules were covereddid not impact the development of students’ spatial skills s measured by these testinginstruments.Table 2: Average Pre- and Post-test scores for students in the experimental andcomparison groups. Experimental Group Comparison Group Significance Pre-test Post- Gain Pre-test Post- Gain Pre- Gain Test Test testPSVT: 15.4 23.6 8.29 15.4 23.2 8.4 >0.4 >0.4R