2006-1337: IMPLEMENTATION OF A PROBLEM-FINDING ANDPROBLEM-SOLVING ORIENTED ENGINEERING EXPERIMENT COURSE IN ALARGE CLASSNobuyuki Kitashoji, Kanazawa Institute of Technology Dr.Eng., Assistant Professor Practical Engineering Education Program Nobuyuki Kitashoji is an assistant professor of the Division of Practical Engineering Education Program at the Kanazawa Institute of Technology in Japan. He has been engaged in the problem-finding and problem-solving oriented engineering experiment course since 1999, endeavoring to improve a learning environment and textbooks so that students will be able to flexibly apply an experiment to deal with problems in any field. He has experience in research in
are provided bycourses that explore electromagnetics, electromagnetic compatibility and signal integrity.System-level issues are then discussed in courses in high-speed design and are extended viaapplications in wireless systems. Planned courses include a laboratory-based course in modelingand measurement and a course in RF integrated circuit design.In this paper we report on courses in electromagnetic compatibility (EMC), signal integrity (SI),and high-speed design that will provide the foundations of the high-speed design program beingdeveloped . The needs of both disciplines, electrical engineering and computer engineering,must be kept in view. In the discussion below, therefore, keep in mind that, since electricalengineering and computer
results obtained from such a teaching method could be compared with results from amore traditional teaching technique. The data available from such a study may be more useful inshowing the importance of using cases to teach deeper technical concepts.Acknowledgement: National Science Foundation award No.DUE-0442531References 1. “How People Learn: Brain, Mind, Experience and School,” John D. Bransford, Ann L. Brown, and Rodney R. Cocking, editors, National Academy Press, Washington D.C., 2005. 2. Fromm, E., “The Changing Engineering Educational Paradigm, Journal of Engineering Education,” 92(2):113-121, April 2003. 3. Sankar, C.S. and Raju, P.K. "Use of Multi-Media Courseware to Teach Real-World Decision Making Skills
further confirmation that the capstone experience was the appropriate vehiclefor achieving the course outcomes.On the items relating to more general social and communication skills (Figures 11 and 12), thecourse did not seem to make much impact, at least in the students’ own minds.5. SummaryThe second of two courses whose development was funded by an NSF CCLI grant has beendescribed. The courses address a critical need in the development of mechatronics systems, amultidisciplinary area of increasing importance in products and processes in engineering,particularly in the automotive industry. A major aspect of the course construction was tosupplement theoretical treatment of sensors and actuators with laboratory exercises that requiredworking with
, and tools for integrating probabilistic forecasts with other data sets.Many other industries, groups, and individuals use weather information. For example, theconstruction industry uses weather information to schedule specific activities and to purchasematerials. K-12 teachers use weather data to develop math and engineering skills in theirstudents, which is essential for the future [4, 5, 6]. Following the classic Boyer Report, it is very important that no gap exists between teachingand research [7]. In addition, faculty members who creatively combine teaching with researchare essential to the improvement of undergraduate education [8, 9, 10, 11]. With this in mind,we now introduce the model that governs and sustains the teaching and
2006-944: ASSESSING TEACHING METHODS FOR A COURSE IN NUMERICALMETHODSAutar Kaw, University of South Florida Autar K Kaw is a Professor of Mechanical Engineering and Jerome Krivanek Distinguished Teacher at the University of South Florida. With major funding from NSF, he is developing customized and holistic web-based modules for an undergraduate course in Numerical Methods (http://numericalmethods.eng.usf.edu). He has authored the textbook - Mechanics of Composite Materials, which is currently in its second edition. His scholarly interests include development of instructional technologies, integrating research in the classroom, thermal stresses, computational mechanics, and nanomechanics of
] Crown, S., “Improving Visualization Skills of Engineering Graphics Students Using Simple JavaScript WebBased Games.” Journal of Engineering Education. July 2001.[3] Bransford, J. D., Brown, A. L., and Cocking, R. R. (Eds.), “How People Learn: Brain, Mind, Experience, andSchool, National Research Council, National Academy Press, Washington, D.C., (1999).[4] Brophy, S., and Bransford, J., “Design Methods for Instructional Modules in Bioengineering”, Proceedings ofthe 2001 American Society for Engineering Education (2001). Page 11.313.16
. Richard, and M.R. Cutkosky, "Feeling is believing: Using a Force-Feedback Joystick to Teach Dynamic Systems," ASEE Journal of Engineering Education., Vol. 92, No. 3, pp. 345-349, 2002.[2] J. Bransford, A.L. Brown, and R.R. Cocking, eds., How People Learn: Brain, Mind, Experience, and School, Expanded Edition, NAS Press, 2000[3] R. Bonert, “Interactive simulation of dynamic systems on a personal computer to support teaching,” IEEE Transactions on Power Systems, 1989.[4] E. Conley and K. Kokjer, “Classroom computers: don’t forget the analog,” CoED (journal) Computers in Page 11.680.14 Education Divisions of ASEE
2006-535: VIRTUAL AND DISTANCE EXPERIMENTS: PEDAGOGICALALTERNATIVES, NOT LOGISTICAL ALTERNATIVESEuan Lindsay, Curtin University of Technology Euan D. Lindsay is a Lecturer at Curtin University of Technology, Perth, Australia. He has recently completed a PhD in Engineering Education at the University of Melbourne, Australia, investigating the effects of remote and virtual access to laboratory hardware upon students’ learning outcomes. His research interests include engineering education, telecontrol (particularly internet-based telecontrol), animatronic puppetry, and technology-mediated interfaces for deaf-blind communication.Malcolm Good, University of Melbourne Malcolm C. Good received the
2006-177: ASSESSMENT RESULTS OF MULTI-INTELLIGENCE METHODSUSED IN DYNAMICSLouis Everett, University of Texas-El Paso Louis J. Everett is a Professor of Mechanical Engineering at the University of Texas El Paso. Dr. Everett is a licensed professional engineer in the state of Texas and has educational research interests in the use of technology in the classroom. His technical research interests include robotics, machine design, dynamics and control systems. leverett@utep.edu http://research.utep.edu/pacelabElsa Villa, University of Texas-El Paso Elsa Villa is a lecturer in the Department of Teacher Education, Division of Mathematics, Science and Technology, at the University of Texas
2006-472: A MATLAB TOOL FOR SPEECH PROCESSING, ANALYSIS ANDRECOGNITION: SAR-LABVeton Kepuska, Florida Tech Kepuska has joined FIT in 2003 after past 12 years of R&D experience in high-tech industry in Boston area in developing speech recognition technologies. Presented work is partially the result of the belief that cutting edge research can only be conducted with appropriate supporting software tools. In order to bring that cutting edge research to undergraduate level, the software tools have to be not only easy to use but also intuitive. Thus, presented SAR-LAB software was designed and developed with a clear goal in mind to evolve into a standard educational as well as research tool