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
students with online and telephone technicalsupport, and student services support within the classes. Near the end of each course we conduct a formalanonymous student course evaluation. The evaluation results are a primary input into the course updateplanning process, as we begin the next update in the quality cycle of continual course improvement.To summarize, our framework of online education involves three parameters that we seriously invest in a)instructional technology, b) teaching techniques, and c) policy and procedures. Modern, effective, anduser friendly communication and collaboration tools are essential to a successful online class.Models for Online TeachingTraditional Class Room involves “Same Time, Same Place” interactions. We know
(Take off), estimate the actual cost of the materials, and estimate the dead load of the structure.3. Using a commercial software, like SAP2000, perform the structural modeling of the superstructure of the bridge.4. Input the load cases according to the current code ASCE/SEI 7-05: a. Dead load b. Live load, consider different possibilities to apply the live load. c. Wind load5. Make the load combinations indicated in ASCE/SEI 7-056. Perform dynamic tests to find the natural frequency of the bridge and compare with SAP2000.7. Perform the verification of the steel members. Use the computer program SAP2000, verify the most stressed members with an alternative method.Verification of the drawings and material take-off.In order to perform
(ICCHMT), Guangzhou, China, May 18–21, 2009, pp. 413-418. [5] S. Gordon, F. J. Zeleznik, and V. N. Huff, "A General Method for Automatic Computation of Equilibrium Compositions and Theoretical Rocket Performance of Propellants," NASA, TN D-132, October 1959. [6] B. J. McBride and S. Gordon, "FORTRAN IV Program for Calculation of Thermodynamic Data," NASA Glenn Research Center, Cleveland, OH, NASA TN-D 4097, 1967. [7] S. Gordon and B. J. McBride, "Computer Program for Computation of Complex Chemical Equilibrium Compositions, Rocket Performance, Incident and Reflected Shocks, and Chapman-Jouguet Detonations," NASA, SP-273, 1971. [8] W. C. Reynolds, "The Element-Potential Method for Chemical Equilibrium Analysis
volumetric flow rate will be as you predicted in #1?Questions (Post-exercise) 1. Was your prediction for the volumetric flow rate correct? 2. What factors in this exercise do you think influence the actual volumetric flow rate? 3. If two fans are placed in series with each other will the flow rate: a. Increase by a factor of 2 b. Decrease by a factor of 2 c. Stay the same 4. If two fans are placed in series with each other will the total differential pressure across the fans: a. Increase by a factor of 2 b. Decrease by a factor of 2 c. Stay the same 5. If two fans are placed in parallel with each other will the flow rate: a. Increase by a factor of 2 b. Decrease
, although notaltogether satisfactorily. The post-assessment responses showed significant improvement overthe pre-assessment responses, but, again, this was not deemed entirely satisfactory for the cohort.Open-ended pre- and post-assessment questions were administered to the teachers. The responsesto these questions were independently evaluated by McGinnis-Cavanaugh and Ellis using thescoring rubric shown in Appendix B. On average, response scores went up 83% and 60% (seeAppendices B and C) on questions 1 and 2, respectively, showing significant improvement inboth the understanding of both basic mechanics concepts and educational theory with regard tostudent engagement. The assessment questions were as follows: 1. A gymnast stands on a
, ASME International Mechanical Engineering Congress and Exposition, 2007.19. Crittenden, K. B.; Boudreaux, A. D.; Nelson, J. D.; Turner, G. E. 2008. TechSTEP: Connecting High School Teachers and Students to Integrated Engineering and Science, ASEE Proceedings. Page 15.959.12
Light, and Jonathan Goldstein, “What High-Tech Managers Need to KnowAbout Brands.” (HBSP download)Case: Mountain Man Brewing Company: Bringing the Brand to Light (HBSP download)Globalization Page 15.253.8Isenberg, Daniel J. “The Global Entrepreneur.” (HBSP download)Case: Samsung Electronics Company: Global Marketing Operations (HBSP download)Article: McDougall, P., B. Oviatt, and R. Shrader, “A Comparison of International and DomesticNew Ventures.” Journal of International Entrepreneurship, 1, 59-82, 2003.http://wf2dnvr13.webfeat.org/APC3N174/url=http://www.springerlink.com/content/r71676m6250841u7/fulltext.pdfAccounting & FinanceGuest SpeakerTracy
://www.gisdevelopment.net/tutorials/tuman006pf.htm 2. ESRI. (2009). What is GIS. Environmental Systems Research Institute Website, Retrieved December 26, Page 15.847.13 2009 from http://www.gis.com/whatisgis/index.html3. ESRI. (2009). GIS for Civil Engineering. Environmental Systems Research Institute Website, Retrieved December 26, 2009 from http://www.esri.com/industries/civil_engineering/index.html4. Hall, R.H., Watkins, S.E., & Eller, V.E. (2003). A model of web based design for learning, in M. Moore and B. Anderson (Eds.) The Handbook of Distance Education. (pp. 367 – 376). Mahwah, NJ: Erlbaum.5. Hall, R. H., Digennaro, A
AC 2010-2420: A SERVICE LEARNING CASE STUDY: AN EFFICIENCY STUDYOF A METROPOLITAN BUS TRANSIT SYSTEMCynthia Forgie, University of Southern Indiana Cynthia C. Forgie is an Assistant Professor of Engineering at the University of Southern Indiana, located in Evansville, Indiana, USA. She received a B.S., M.S., and Ph.D. in Industrial Engineering from the University of Louisville. She also earned a M.S. in Software Engineering from Kansas State University. Dr. Forgie has served as a lecturer at the University of Louisville and Kansas State University. She also has over ten years experience as an Operations Research Specialist for the U.S. Army Operational Test Command and five years experience as
remove dust etc passengers and fluid crewTransmission Recirculated air Method of What has to be for heat balance regulation recirculated? What has to be lost?Exhibit 3. B. T. Turner’s application of a matrix developed by G. G. S. Bosworth to the problem ofaircraft ventilation.27 Detail is obtained by further expansion of the boxes (see exhibit 4). For exampleit can show a family tree of
necessary direction required by45CFR46.101 (b) for the protection of human subjects. The tools applied included data-driven management, using survey instruments to change theconsortium dynamic, branding, process documentation, social entrepreneurial business plandevelopment, advancement and networking. Applying these tools has already had the effect ofreconstituting the industry advisory board for the current program, defining the enterprise12,increasing student enrollment, ensuring degree objectives could be met, and improving outreachand awareness of California A-G requirements in the local high schools.Existing Partnership The Washington State model of a tactical pyramid illustrates the required coalition forthis case. However, the local
://seniordesign.engr.uidaho.edu/1999_2000/powerbrokers/ .[5] Schlee, J., I. Higginson, P. Anderson, W. Knepper, S. Frazier, and H.Hess, “Taylor Wilderness Research StationPower System Expansion,” Internal Report, Department of ECE, University of Idaho, 11 December 2009.[6] Nelson, R., D. Flegel, B. Johnson, and H. Hess, (2002, June 19). “Undergraduate Research and TeachingOpportunities from a Transient Network Analyzer,” Retrieved 8 January 2010, from Past Asee Annual Conferenceswebsite: http://soa.asee.org/paper/conference/paper-view.cfm?id=17878 . Page 15.1302.14
). Page 15.1096.1411. F. W. Taylor, The Principles of Scientific Management, New York: Harper & Brothers.12. B. E. Ashforth, S. H. Harrison and K. G. Corley, “Identification in Organizations: An Examination ofFour Fundamental Questions”, Journal of Management, 34(3), 325 (2008).13. F. A. Mael and B. E. Ashforth, “Alumni and Their Alma Mater: A Partial Test of the ReformulatedModel of Organizational Identification”, Journal of Organizational Behavior, 13, 103 (1992).14. R. Van Dick, J. Ullrich and P. A. Tissington, “Working under a Black Cloud: How to SustainOrganizational Identification after a Merger “,British Journal of Management, 17(S1), S69 (2006).15. C. Bullis and B. Bach, “Socialization Turning Points: An Examination of Change in
AC 2010-355: DESIGN AND IMPLEMENTATION OF A SOLAR BATTERYCHARGERLiping Guo, Northern Illinois University Liping Guo received the B. E. degree in Automatic Control from Beijing Institute of Technology, Beijing, China in 1997, the M. S. and Ph. D. degrees in Electrical & Computer Engineering from Auburn University, AL, USA in 2001 and 2006 respectively. She is currently an Assistant Professor in the Electrical Engineering Technology Program in the Department of Technology at the Northern Illinois University. Her research interests are mainly in the area of power electronics, renewable energy, embedded systems and control. Dr. Guo is a member of the ASEE, IEEE and a member of
assignments are important to learning.Students rated their agreement with this statement at 4.8/5. Thus, the laboratory instilled anunderstanding of the importance of hands-on learning in the students.In Figure 3(b) student assessment of the effectiveness of laboratory exercises in achieving theiracademic goals is shown. This data is a composite response from a number of statementsincluding: S5) The Rocket lab increased my belief that testing and revision are important. S6) The statistics lab increased my understanding of statistics. S7) The circuit and temperature lab helped me better understand electrical circuit testing equipment. S8) The Drill/Tool Dissection lab increased my understanding of the relationship
. Page 15.77.16References1. Lynn, L. and Salzman, H. “The ‘New’ Globalization of Engineering: How the Offshoring of Advanced Engineering Affects Competitiveness and Development”, 21st European Group for Organizational Studies (EGOS) Colloquium: “Unlocking Organizations”, Berlin, June 2005.2. Newberry, B. “Engineering globalization: Oxymoron or opportunity?”, IEEE Technology and Society Magazine, Vol. 24, Issue 3, Fall 2005, 8-15.3. Lohmann, J.R., Rollins, H.A., and Hoey, J.J. “Defining, developing, and assessing global competence in engineers”, European Journal of Engineering Education, Vol. 31, No. 1, March 2006, 119-131.4. Anderson, A. “Preparing engineering students to work in a global environment to co
Control View lab equipment Equipment Lab attendant Remote User (a) Main Menu Module (b) Experiment Module (c) Simulation Module9 (d) Quiz Module Figure 4: IVLP Application Modules ExamplesMain Menu: As shown in Figure 4(a), this module links the remote client to different applicationoptions. The clients can also log out from IVLP applications from this interface. Upon selectionof each application from the menu, the appropriate module will be invoked in a new
(basketball goal) This example introduced the students to eccentric loading problems and how they createmultiple stresses. The instructor began by showing a two minute YouTube video showing aseries of NBA slam dunks. A class discussion was then initiated discussing what types ofstresses the basketball support structure was subjected to. Calculations were then presented for Page 15.1015.5axial and bending stress at two different points (A and B below) for a very simplified model of abasketball goal as shown in figure 1 with equations 11-13. A follow-up discussion was alsofacilitated reminding the students of the difference between static and
mathematics, science, and engineering, (b) an ability to design andconduct experiments, as well as to analyze and interpret data,(c) an ability to design a system,component, or process to meet desired needs within realistic constraints such as economic,environmental, social, political, ethical, health and safety, manufacturability, and sustainability,(d) an ability to function on multidisciplinary teams, (e) an ability to identify, formulate, andsolve engineering problems, (f) an understanding of professional and ethical responsibility, (g)an ability to communicate effectively, (h) the broad education necessary to understand the impactof engineering solutions in a global, economic, environmental, and societal context, (i) arecognition of the need for
possibleoutcomes or combinations of a situation, and create and interpret graphs.Using Baseball Problems in Mathematics ClassesHome run trot--the batter’s eye a tapemeasuring the distance22There are many ways to incorporate baseball into mathematics. One could show how outfielderscatch a fly ball using the linear optical trajectory (LOT) model which received much nationalattention in 1995. This model uses equations to relate the motion of the fly ball to the motion of theoutfielder using a mathematical foundation. The LOT hypothesis determines “the strategy thefielder uses to catch a fly ball by following a path that will keep the optical trajectory projectionangle constant, this is equivalent to keeping the ratio (tan cx)/(tan B) constant.”23Merrimack
/manager/professional who hold baccalaureate in other technology fields. Thecertificate courses introduce the concepts and technology of harvesting energy from sun, windand other alternative sources, thermoelectric, electrochemical, bio-photosynthetic and hydrogenbased energy systems. The certificate consists of 12 credit hours, equivalent of four courses: 1)Solar Engineering Systems, 2) Wind and Alternative Energy Technology, 3) Energy Networkingand 4) Energy Neutral Living.Courses in the certificate can be delivered in traditional classroom/distance learning formats.Each course comprises of three components: a) content, b) critical review of current researchpapers and c) project. The course content consists of study of sources of energy and
methodology in Appendix A yields the analytical tool shown inAppendix B allowing students to make design decisions there are many other things that can bedone to optimize one’s glider. Some good advice comes from the article “Design of Balsa WoodGliders: A lesson in the engineering process”3 and helps students understand and make the mostof the project they are required to complete. For example the article discusses qualitativeconstruction techniques as well as testing methods and modifications that can be made once theaircraft is flown. Additionally, because the gliders are launched by hand there is something to besaid for proper throwing technique. The gliders are designed to fly at speeds ranging fromapproximately 15-20 fps. Thus, if students find
1 1 1 0 j1 5_3/4 5.75 5_3/4 5.75 5_3/4 5.75 0 j2 4_1/4 4.25 4_1/4 4.25 4_1/4 4.25 0 k 0_1/4 0.25 0_1/4 0.25 0_1/4 0.25 0 A B C l 1_15/16 1.9375 1_15/16 1.9375 1_15/16 1.9375 0 m 2_7/16 2.4375 2_7/16 2.4375 2_7/16 2.4375 0 n 0_5/8 0.625 0_5/8 0.625 0_5/8 0.625 0 o 0_5/8 0.625 0_5/8 0.625 0_5/8
, 398, 6727: 451.[2] Schneier, B. (1999) “Biometrics: use and abuse”. Communications of the ACM, 42: 136[3] Grijpink, J. (2004). “Two barriers to realizing the benefits of biometrics: a chain perspectiveon biometrics and identity fraud as biometrics' real challenge”, Proc. SPIE, 5310: 90-102.[4] Bronstein, M. & Bronstrein, A. (2002). “Biometrics was no match for hair-raising tricks”,Nature, 420, 6917: 739.[5] Buhan, I. & Hartel, P. (2005). “The State of the Art in Abuse of Biometrics”.Available at: http://www.coelle.org/papers/TheUseandAbuse.pdf[6] Jain, A., Nandakumar, K., and Nagar, A. (2008). Biometric Template Security. Journal onAdvances in Signal Processing, Special Issue on Advanced Signal Processing and PatternRecognition
, 398, 6727: 451.[2] Schneier, B. (1999) “Biometrics: use and abuse”. Communications of the ACM, 42: 136[3] Grijpink, J. (2004). “Two barriers to realizing the benefits of biometrics: a chain perspectiveon biometrics and identity fraud as biometrics' real challenge”, Proc. SPIE, 5310: 90-102.[4] Bronstein, M. & Bronstrein, A. (2002). “Biometrics was no match for hair-raising tricks”,Nature, 420, 6917: 739.[5] Buhan, I. & Hartel, P. (2005). “The State of the Art in Abuse of Biometrics”.Available at: http://www.coelle.org/papers/TheUseandAbuse.pdf[6] Jain, A., Nandakumar, K., and Nagar, A. (2008). Biometric Template Security. Journal onAdvances in Signal Processing, Special Issue on Advanced Signal Processing and PatternRecognition
A Generalizable Neural Network for Predicting Student Retention Cameron Ian Cooper, Ph.D. – Fort Lewis College Session: Tools, techniques, and best practices of engineering education for the digital generationAbstractThis research revisits a neural network-based decision support system presented at the ASEE 2009Northeast Section Conference at the University of Bridgeport. The decision support system identifiedstudents who are “at-risk” of not retaining to their second year of collegiate study. At that time, thepositive preliminary results presented were based upon a small out-of-sample dataset. This researchupdates the results using the full 2008 freshman cohort at Fort Lewis College (N = 800). Overall
% Completion Time (Hrs) 0 10 20 30 40 50Figure 4. Relationship between completion time and deviation from aluminum prototype results.The tabulated results for stress at location A (representative of other results) for the various loadsare shown in Table 1. As seen in Figure 4 (and as would be expected), the simple stresscalculations required the least time to complete. The results in the various locations were allwithin 20% of the reference point (the aluminum prototype). Only one of the data points(location B) predicted what would be considered a type II error (lower stress than the baseline).The FEA analyses required almost 50% more time to complete than the simple
engineering economy is beingtaught in undergraduate engineering classrooms and to uncover new and innovative methods forimproving how the curriculum is conducted.Bibliography1. Bafna, K. and B. Aller, “Enhancing the Learning of Engineering Economy with Innovative Technology and Teaching,” American Society for Engineering Education Annual Conference Proceedings, 2007.2. Elizandro, D. W. and J. O. Matson, “Taking a Moment to Teach Engineering Economics Education,” The Page 15.50.6 Engineering Economist, Vol. 52, No. 2, 2007, pp. 97-116.3. Hartman, J. C., “Suggestions For Teaching Engineering Economy at the Undergraduate Level,” The
cases, and these provide theoretical and practical background in conducting experiments.References1. I. M. Abdel-Qader, B. J. Bazuin, Real-Time Digital Signal Processing in the Undergraduate Curriculum, IEEETransactions on Education, vol.46, no.1, February, 20032. D. Jacoby and R. Saint-Nom, Nice experiences teaching SP in Argentina, Acoustics, Speech, and Signal Processing,IEEE International Conference on acoustics, Speech, and Signal Processing, 2689-2692 vol.5, 20013. J. P. Frantz, H. Choi, R. Baraniuk, DSP Education at Rice University,4. S. Gallardo, F. Barrero, S. L. Toral, M. J. Durán, eDSPlab: A remote-accessed instrumentation laboratory for digitalsignal processors training based on the Internet, IEEE Industrial Electronics, IECON 2006