Engineering Education Annual Conference (2002). 11. J. A. Newell, “Survivor: A Method for Active Learning in the Classroom that Addresses Student Motivation,” Proceedings of the American Society for Engineering Education (2004). 12. J. Biggs and P. J. Moore, The Process of Learning, Prentice-Hall, Englewood Cliffs, NJ (1993). 13. P. C. Wankat and F. C. Oreovicz, Teaching Engineering, McGraw-Hill, New York (1993). 14. J. A. Newell, “Hollywood Squares: An Alternative to Pop Quizzes,” Proceedings of the American Institute for Chemical Engineers Annual Meeting (1999). 15. S. S. Fenton and J. M. Fenton, “The Green Square Manufacturing Game: Demonstrating Environmentally Sound Manufacturing Principles, Chemical
kHz sampling rate The temperature rise was smaller and slower than we expected. Figure 4: Experimental setup and preliminary temperature measurement results We checked our expectation for temperature rise by performing some analytical temperature predictions. These predicted a quick temperature rise (less than 1 sec) and 10’s of degrees of rise. We checked the thermocouple by immersing it in hot water and cold water and collecting the temperature measurements. These simple trials showed us that the thermocouple was working properly and that it could respond quickly
components. Itwill also provide them with additional context of how VHDL code is ultimately used in hardwareand how it can interact with other devices. Once they move on to more advanced designs, theycan take advantage of co-simulation to reinforce their waveform testbenches. They will be ableto catch errors easily missed in a waveform test environment. Co-simulation will also help indesign projects since students can simulate and document11 entire projects including signalconditioning and output drivers.Bibliography 1. Areibi, S. “A First Course in Digital Design using VHDL and Programmable Logic.” Proceedings of Frontiers in Education Conference, 2001. 2. Brown, S. and Vranesic, Z., Fundamentals of Digital Logic with VHDL
., Goldberger, N. R., and Tarule, J. M. (1997) Women’s Ways of Knowing: The Development of Self, Voice, and Mind, 10th Anniversary Edition. New York: BasicBooks.Edelsky, C. (1981). Who’s got the floor? Language in Society, 10, ,383-421.Fisher, H. (2000). The First Sex: The Natural Talents of Women and How They Are Changing the World New York: Ballentine Books.Helgesen, S. (1995). The Female Advantage: Women’s Ways of Leading New York: Doubleday.King, L., El-Sayed, J., Lai, G., and Lin, T. (2002) “Vertical and Horizontal Integration of Manufacturing Courses in Engineering Curricula,” NSF Proposal Number 0234478.Matthews, R., Smith, B. L., and Gabelnick, F. (1996). Learning Communities: A Structure for Educational Coherence. Liberal Education
reviewed the core material at the end of each year. By this process, the memory curveshown in Figure 1 can be modified as shown in Figure 2. The overall level of memory retentionwill lie on the horizontal line. When the students have to question, read and prepare each springfor the exam the overall memory is improved. 100 R e v ie w fo r E x a m 90 Memory 80 70 D e s ir e d O v e r a ll L e a r n in g L e v e l 60 0 20 40 60 80 100 R e te n tio n In
. Students then had to select whichelements from their portfolio they wished to share. After selecting the elements to include in thepresentation, students had to identify the person(s) the presentation was to be shared with. Thisinvolved adding the userid and finally saving the presentation. Since the “SAVE” button was atthe bottom of the screen, and students often had to scroll to see it, this last SAVE was oftenskipped. This resulted in the instructor not being able to view the presentation although thestudent had created it. The Educational Technologies office worked throughout the semester tofix problems with the software and access; however, at the end of the semester 45% of studentsstill indicated that they had problems with VTeP in preparing
value(s) of nominal rate and/orcompounding frequency and note the effect on the effective rates. The computerautomatically calculates the values of resulting effective rate per period and effectiveannual rate. Table 3: Simulating Effects of Compounding Frequency Nominal Rate Compounding Effective Rate Effective Rate (r%) Frequency (m) (per CP) i% (annual) i a % 8.00% 12 0.6667% 8.3000%Simulations like the ones described here take advantage of the fact that the course isbeing accessed via a computer, and utilize the built-in computing power to enhance the
, not arepository. The author of a learning object retains full copyright and full control. MERLOTmembers are encouraged to add any useful online learning object, not just objects they author.When you add a learning object, you provide a brief description of the object and identify thesubject area(s) under which it should be filed. The object will appear in the database Page 10.994.2immediately; peer review follows. “Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright ©2005, American Society for Engineering Education”Each major discipline areas in MERLOT has
. Papadaratsakis, Self-Assessment Workbook for Small Manufacturers, Version 2.0, Rutgers University Industrial Assessment Center, October 2003; 5. B. Segee, S. Dunning and E. Chowdhury, “An Electronic Energy Self- Assessment Software for Industrial Manufacturers,” Proceedings of the New England ASEE Annual Meeting, May 2003. 6. B. Hashi, M. Lal, R. Pandey, S. Samorodin, “Securing systems against external programs,” IEEE Internet Computing, vol.2, no.6, Nov.-Dec. 1998, pp.35–45. 7. History of PHP; 8. PHP: PHP Usage Statistics; < http://www.php.net/usage.php> 9. Sun Java Tutorial. Anatomy of an Applet
Society for Engineering Education” Table 1. Best Subsets Models for Different Number of Predictors for FYGPA A P A A A A T P P P P _ T R R R V _ _ _ _ G E M E M S Cp P R A N A P Vars R
Session 1793 Partnering with Secondary Schools: Bridging Education from High School to College Dave S. Cottrell and Joseph J. Cecere Pennsylvania State University at HarrisburgIntroduction The last year of high school is supposed to be one of the best times in a student’s life.However, being a high school senior can be overwhelming with sports, band, studentcouncil, debate and youth groups, and after-school jobs, not to mention the high schoolclasses themselves. But being a senior also means it’s time to prepare for the future andfor an increasing number of seniors this
Society for Engineering Education6. ConclusionThis paper describes the Telecommunications Laboratory course, an integral component in theTelecommunications Systems curriculum at The University of Oklahoma – Tulsa. Studentscomplete a series of laboratory modules that enhance student understanding of fundamentalcomputer networking principles covered in prerequisite lecture courses and to expose students toresearch tools that may prove essential for carrying out their capstone research projects.Instructor evaluation of student performance and qualitative student feedback indicates thatcourse objectives are being met.Bibliographic Information1 J. J. Sluss, Jr., G. E. Crain, S. V. Kartalopoulos, Hazem. H. Refai, and P. K. Verma, “A graduate degree
the Past, Present, and Future of Mechanical Engineering.” Proc. 2004 ASEE Annual Conference. ASEE, Salt Lake City, UT, 20042. Lenoir, J., and Russell, J., “The Roles of the Student in a Project-Based Engineering Curriculum.” Presented at the International Conference on Practice-Oriented Education: Transforming Higher Education, Northeastern University, Boston, MA, 24-27 April, 2001.3. Schmucker, D, “Leadership Through the Backdoor: Exercises for Teams and Individuals,” Proc. 2004 ASEE Annual Conference. ASEE, Salt Lake City, UT, 2004.4. Ressler, S., et.al., “Using Information Technology for Nationwide Engineering Outreach to Middle-School and High-School Students: Assessing the Outcomes,” Proc. 2004 ASEE Annual
Page 10.507.4 “Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Education”AnalysisOnce the learner has completed the problem, the system analyzes the constructed shear andmoment diagrams to determine if they are correct. This is performed by comparing the shape andmagnitude(s) of the diagram constructed by the learner, in each segment, with the correct ones.Incorrectly constructed segments of a diagram are highlighted, allowing the learner to requestcorrective feedback (see Figure 4). Figure 4: Initial System Response to Learner-Constructed DiagramFeedbackIf the learner constructs any part of a diagram
A DEVELOPMENT OF WIRELESS CLASSROOM FRAMEWORK FOR CONSTRUCTION TECHNOLOGY COURSES Chul S. Kim, Laura Lucas Indiana University-Purdue University, IndianapolisIntroduction Many courses in the Construction Technology (CNT) Program in Indiana University-Purdue University Indianapolis (IUPUI) are taught in traditional classrooms that are notequipped with computers. This is partially due to the lack of funding to provide enoughcomputer facilities; however, it is more because computers are not currently deemed integral inthe teaching and learning in these courses. Thanks to the rapid progress in informationtechnology
Society for Engineering Education Copyright © 20033. National Academy of Engineering, Technically Speaking: Why All Americans Need to Know More About Technology, 2002.4. National Collaborative Task Force on Engineering Graduate Education Reform, Strategic Plan, 2004.5. Bruner, J. (1990). Acts of meaning. Cambridge, MA: Harvard University Press6. Ullman, S. (1980) Against direct perception. Behavioral and Brain Sciences, 3, 373 - 415.7. Gibson, J. J. (1979). An ecological approach to visual perception. Boston: Houghton Mifflin8. Dewey, J. (1933/1998) How we think (Rev. ed.). Boston, MA: Houghton Mifflin Company.9. Ausubel, D. (1968). Educational psychology: A cognitive view. New York: Holt, Rinehart & Winston10. Piaget, J. (1972). The
preparation to beeffective. Professors must include plans to keep students active and involved. Finally,professors should attempt to make learning approach that experienced in smaller classes to befair to the students.REFERENCES1. Felder, R.M., “Beating the Numbers Game: Effective Teaching in Large Classes,” Proceedings of the 1997American Society for Engineering Education annual Conference and Exposition, Milwaukee, WI.2. Montgomery, S., “A Secret to Large Classes – Showing You Care,” Proceedings of the 1997 American Societyfor Engineering Education annual Conference and Exposition, Milwaukee, WI.3. Dail, P.R., “Techniques for Teaching Large Classes,” Proceedings of the 1997 American Society for EngineeringEducation annual Conference and Exposition
, and highly motivated graduate students for the UCNRE GraduateProgram who will soon be in a position to become professionals in the nuclear industry.5. References[1] J. Christenson, G. I. Maldonado, E. Rutz, H. Spitz, “MNE-ACCEND,” Proc. of 2004 American Society for Engineering Education Annual Conference & Exposition, Salt Lake City, Utah, June 20-23, 2004.[2] W. Wallack, et.al., “University of Cincinnati Launches Joint Mechanical/Nuclear Engineering Degree,” Nuclear Energy Institute’s Nuclear Energy Overview, p.5, Nov. 3, 2003.[3] S. Ali, J. Christenson, P.K. Ray, S. Usman, “Building an Effective Educational Bridge Between Tuskegee University and the University of Cincinnati Nuclear and
successful? 3. Who will be the reader(s) of this memo? What do they know about the problem? What will they gain from the problem being solved? 4. What action(s) do you expect your readers to take as a result of reading this memo? For the purposes of this class, understanding a problem differently can be considered an action. 5. What do your readers need to know in order to want to take those actions?Through lectures and feedback, the students are coached to appropriately collect and constructanswers to each of these questions. Then they are asked to use their answers to these questionsto their memos and proposals.5 The exercise is helpful to students who are not accustomed toconsidering, in depth, their
. 5.Noddings, N. (1992). Gender and Curriculum, from the Handbook of Research on Curriculum, edited by P. W.Jackson, New York: Macmillan.6. Rosser, S. V. (1990). Female-Friendly Science. Pergamon Press, Elmsford, NY.7. Rosser, S. V. (1995). Teaching the Majority: Breaking the Gender Barrier in Science, Mathematics, andEngineering. Teachers College Press, New York, NY.8. Matyas, M. L. & Malcolm, S. (1991). Investing in Human Potential: Science and Engineering at the Crossroads.AAAS, Washington, D.C.9. Oakes, J., Gamoran, A., & Page, R. N. (1992). Curriculum Differentiation: Opportunities, Outcomes, andMeanings, from the Handbook of Research on Curriculum, edited by P. W. Jackson, New York: Macmillan.10. Astin, A. W. (1993). Engineering
esteem, teamwork and leadership skills.AcknowledgementThis project is being funded by a grant from the National Science Foundation (NSF EEC#0353744) and Rowan University.References[1] Jahan, K., J. Everett, R. P. Hesketh , P. Jannson and K. Hollar (2004) “Environmental Education forAll Engineers”, Water Science and Technology, 49(8).[2] Jahan, K., J. Everett, R. P. Hesketh , P. Jannson and K. Hollar (2003) “Environmental Education forAll Engineers”, Proceedings of the IWA Environmental Engineering Education Conference, Zurich,Switzerland, Sept. 23-27.[3] Jahan, K., G. Tang, S. Gatling and K. Freeman (2003) “Undergaduate Research Experiences inPollution Prevention” Proceedings of the Mid-Atlantic ASEE Fall Conference, Baltimore, MD.[4] K. Jahan
Development of a Nuclear Engineering Program at Prairie View A&M University, a Historically Black University (HBCU) S. Aghara,a* I. Osborne-Lee a and Mehran Visehb , Richard Wilkinsc a Department of Chemical Engineering, Prairie View A&M University, Prairie View, TX/ b Department of Computer Engineering, Prairie View A&M University, Prairie View, TX c Department of Electrical Engineering, Prairie View A&M University, Prairie View, TXAbstract Prairie View A&M University (PVAMU), one of the nation’s leading HistoricallyBlack Universities (HBCUs), in 2002
, Texas A&M University/Kingsville, and University of Kansas.Bibliographical Information1. J. A. Lee, D. M. Castella, and S. G. Middleton, “Faculty Perceptions of Academe’s Evaluation System,” Journal of Engineering Education, 263-267 (July 1997).2. K. A. Higley and C. M. Marianno, “Making Engineering Education Fun,” Journal of Engineering Education, 90 (1), 105-107 (January 2001).3. B. G. Davis, Tools for Teaching, Jossey-Bass Publishers, p.100, 1993.4. M. O. Haggler and W. M. Marcy, “Strategies for Designing Engineering Courses,” Journal of Engineering Education, 88 (1) 1, 11-13 (1999).5. J. A. Lynn, “Distance Education Options for Engineering Education,” Proceedings of the 2003 ASEE
" 4similar to the current problem and reuses them to solve the problem (Morcous et al.,2002). Each case records problem attributes and corresponding solutions. The inference engine of a CBR system performs two main tasks: I) case retrieval bysearching the case library for the case(s) that best match the current problem; and ii) caseadaptation by revising the retrieved case(s) to fit the current problem context. A CBRsystem also supports the storage of new cases and the updating of existing cases enablingthe system to “bootstrap itself” or learn. To achieve our short-term objectives listed earlier, data from a large number ofconstruction projects completed within the last seven years will be obtained from majorconstruction companies in Omaha
= air density (about 1.225 kg/m3 atsea level, less higher up), A = rotor swept area, exposed to the wind (m2), Cp = Coefficient ofperformance (.59 {Betz limit} is the maximum theoretically possible, .35 for a good design), v =wind speed in meters/sec (20 mph = 9 m/s), hg = generator efficiency, hb = gearbox/bearingsefficiency.The key to developing a successful wind energy facility is in finding a site which has a strongand steady wind stream. The feasibility study (Phase 1) of this research was completed in the2003-04 academic year. The wind tower location on the dam area was found to have the secondhighest wind speed in the Hickory Hills Park. The maximum wind speed location was far fromthe hydro generator and therefore was not selected. A
lectures are devoted to introducing technical material. The rest of the lectures arespent discussing generic topics of benefit to freshmen, such as time management, groupdynamics, and opportunities for international study. In order to have each technical lectureaccompanied by an applet, we would need a total of about 18 applets. We were able to produce15 applets before the class began in September 2004. The applets did not map evenly to thelecture topics. Some lectures had two relevant applets, while others had none. In the end, weused the applets in 10 lectures, or about one-third of the total number of lectures in the class.Table 1 summarizes the goal(s) for each of the applets we have created.Applet Designed to
Water Level Forecasting along the Texas Coast: Interdisciplinary Research with Undergraduates. G. Beate Zimmer, Philippe E. Tissot, Jeremy S. Flores, Zack Bowles, Alexey L. Sadovski, Carl Steidley. Texas A&M University–Corpus Christi, Corpus Christi, TX 78412.Abstract:While pure mathematics makes it sometimes difficult to involve undergraduates who have notyet completed the higher level math courses in research projects, research in applied mathematicsis generally more accessible to these students. We present an example of an integrated researchenvironment including faculty, research professionals and students which has facilitated theproductive
? Princeton Alumnae Reflect. Princeton, NJ: Princeton University, 1993.6. H. K. Qammar, H. M. Cheung, E. A. Evans, S. P. Spickard, F. S. Broadway, and R. D. Ramsier. “Impact of Vertically Integrated Team Design Projects on First Year Engineering Students.” Proceedings of the 2004 American Society for Engineering Education Annual Conference and Exposition. American Society for Engineering Education, 2004.7. D. K. Sobek II, and V. K. Jain. “The Engineering Problem-Solving Process: Good for Students?” slides for Proceedings of the 2004 American Society for Engineering Education Annual Conference and Exposition. American Society for Engineering Education, 2004.8. “Success of SEAS Interactor Program Hard to Duplicate.” Princeton University
Nontraditional Learning Environments: Do They Prepare Our Students for Life-Long Learning? D. DiBiasio, Department of Chemical Engineering and S. Jiusto, Interdisciplinary and Global Studies Division Worcester Polytechnic InstituteAbstractRecent research indicates that traditional academic structures may not promote learningconsistent with self-directed learning.1,2 This work investigated whether Worcester PolytechnicInstitute’s (WPI) nontraditional interdisciplinary projects program increased readiness for life-long learning (LLL) and self-directed learning (SDL) using three methods: a calibrated, validatedinstrument called the Self