, T., Jaspers, M., & Chapman, M. (2007). Integrating web-delivered problem-based learning scenarios to the curriculum. Active Learning in Higher Education. 4. Bordelon, T. D. & Phillips, I. (2006). Service learning: What students have to say. Active Learning in Higher Education. 7(1), 143-153. 5. Guertin, L. A., Zappe, S. E., & Kim, H. (2007). Just-in-Time Teaching (JiTT) exercises to engage students in an introductory-level dinosaur course. Journal of Science Education and Technology. 6, 507-514. 6. Cimbala, J. M., Pauley, L. L., Zappe, S. E., & Hsieh, M. (June, 2006). Experiential learning in fluid flow class. Paper presented at the annual meeting of the American Society of Engineering
crossroad. Will data visualizationremain the provenance of an elite few or will structures and approaches arise to distribute itsfunctionality to those who can best make use of its potential? It is the modern equivalent of the1990’s centralized versus decentralized computing conflict. As with most digital technologies, itis not a question of if current visualization activities are introduced into the day-to-day activitiesof technical curricula, only the matter of when and how. It has been a general practice to implement visualization technologies in a centralized anddedicated “center,” a facility separated physically, intellectually, and pedagogically fromacademic enterprises that might use it best. The centers sampled in this study ran the
abilities of therich, the middle class or the poor?Another important question is raised by the flooding in New Orleans. Through theconstruction of levees and various shipping canals, much of the coastline is washingaway, leaving the city and the residents of south Louisiana in a much more precariouscondition. Louisiana is losing her coastal land (both wetlands and flatlands) at acatastrophic rate. The U. S. Army Corps of Engineers estimates that the present rate ofcoastal land loss is 25 square miles a year. The U. S. Fish and Wildlife Service places thatfigure even higher at about 34 square miles a year. The latter number is based onmeasuring the loss in coastal land area between 1978 and 1990. What are theresponsibilities of engineers and
’ amountsto the path difference between the rays to the observation point.• The guided wavelength, λg, on the transmission line at 2.4 GHz: c 2.998 x 108 m/s = = = 7.44 cm g h i eff 2.4x109 Hz 2.82• Phase delay introduced by longer transmission line of the antenna array: 1.86 cm phase delay = x 360o = 90o 7.44 cm• Amount of additional phase delay to introduce a null = 90 o• Value of d in terms of wavelengths to introduce the necessary additional = λ/4
the results of an informal in-class experiment to see whether educatorshave a valid reason to worry.BackgroundABET 2000’s emphasis on communication skills,4 especially vital in the era of the globaleconomy with burgeoning virtual collaboration among colleagues on distant continents, and theprevalence of email in the engineering workplace, means that engineering graduates have agreater need than ever for effective written communication skills.5 Any emailmiscommunication can be costly in terms of job advancement, time, productivity, andestablishing rapport with unseen recipients. Page 12.800.2Unfortunately, miscommunication appears to be an all
First questionnaire (Q1) Delphi Panel of Experts Q1 sent out by 7/05/06 (between 16-20) Open ended questions about each Responses received by 7/15/06 Selected U.S. scholars from identified research themes 70's and 90's generation evaluate data Project Second questionnaire (Q2) Directors Q2 sent out by 8/07/06 Structured questions based on Responses received by 8/17
disquiet5,6concerning skills and knowledge of engineeringgraduates from Australian universities. The trend towards softer skills can be gauged throughjob advertisements7,8for professional engineers. Since the 1970’s the demand for engineeringskills has undergone a major paradigm shift from one requiring high technical competence toone requiring social and environmental awareness, good oral and written communication aswell as teamwork skills. It is understood that the nature of engineering practice is a multi-disciplinary one. It is world-wise and its context is people.The Australian Science, Technology and Engineering Council identified5 the changinglandscape of engineering practice. The forces responsible for the change were: 1. Global Integration. The
). “Using history and sociology to teach engineering ethics,” IEEE Technology and Society, 20(4), pp. 13-20.Martin, M., and Schinzinger, R. (1996). Ethics in Engineering, 3rd ed. New York: McGraw-Hill.McCuddy, M.K. and D. Tougaw (2005a), “Learning Challenges in Contemporary Society: Fostering Understanding of the Ethical Implications of Advancing Technologies,” presented at the Educational Innovation in Economics and Business 2005 Annual Conference.McCuddy, M.K. and D. Tougaw (2005b), “The Ethical Imperatives of Technological Development: Insights Gained by Using the Individual Human Being as an Analogy for Societies,” Proceedings of the Global Conference on Business and Economics.Nichols, S. P. (1999), “Designing engineers
lead to the overwhelming success of the project came about due to the desirefor the presentations to be memorable to the entire class. It has been found that when asked topresent a creative and fun project they are highly enthusiastic and often exceed the expectation ofthe assignment.References 1. Jensen, D., Wood, J., Dennis, S., Wood, K., Campbell, M., Design Implementation and Assessment of a Suite of Multimedia and Hands-on Active Learning Enhancements for Machine Design, Proceedings of ASME International Mechanical Engineering Congress and Exposition, Orlando, FL, 2005 2. Criteria for Accrediting Engineering Technology Programs, ABET Board of Directors, Technology Accreditation Commission, 2007. 3. Umble, E.J
amount of time together, such asmedical students in training, are more likely to review peers’ work positively (even when thereview is anonymous) as a result of their rapport with one another. Our discrepancy may be dueto this phenomenon or may also be due to the relaxed CPR grading scale in 2007.As stated earlier, CPR was designed so that students would move through CPR’s calibration andreview stages and later return to their own work at the end of the session and evaluate their textsfrom a more informed perspective. According to Russell,1 “By the time [students] came to theself assessment stage [of CPR], they recognized and confronted their mistakes and accuratelyevaluated their own essays.” Similarly, Margerum et al.’s analysis9 suggests
to learning, as well asreinforcing computational knowledge using Matlab, it is not as efficient as using the HSVcolor space. Matlab functions rgb2hsv ( ) and hsv2rgb ( ) can transform images back andforth between RGB and HSV domains. In the RGB domain, a particular displayed coloris a combination of ranges of pixel intensities in the first (red), second (green), and third(blue) layer matrices of the corresponding digital image. Hence, to search the pixels thatare in a particular color range, a three-level nested for loop is necessary. However, oncean image is transformed to the HSV space, all the color information is in the “hue” layermatrix. The pixel intensities in the ‘s’ or “saturation” layer matrix indicate the richnesslevel or vibrancy
Guard Academy. He has a Ph.D. in Aerospace Engineering form the University of Maryland, a Masters in Naval Architecture and Marine Engineering form Massachusetts Institute of Technology, and a Bachelor of Science from the U. S. Coast Guard Academy. He is a registered Professional Engineer in the State of Connecticut. He served on active duty in the U.S. Coast Guard from 1965 to 1992 and had assignments in Marine Safety, Naval Engineering, Acquisition, and Research and Development. Page 13.17.1© American Society for Engineering Education, 2008 A COMMON DESIGN-BUILD-TEST PROJECT INCORPORATING
AC 2008-238: DEVELOPMENT OF AN EET LECTURE COURSE IN IPOD©FORMATJohn Hackworth, Old Dominion University John Hackworth is an associate professor and director of the Electrical Engineering Technology program at Old Dominion University. He holds a B. S. Degree in Electrical Engineering Technology and a Master of Science Degree in Electrical Engineering, both from Old Dominion University. Prior to joining the Old Dominion University faculty, John had approximately 20 years of industrial experience in test engineering and plant automation with General Electric Company. He is the co-author of two textbooks which are currently in use by several electrical engineering technology programs at
). Teaching and learning plan: Week 1. Retrieved January 9, 2008, from http://arose.iweb.bsu.edu/BSUCourses/ITEDU_510/LP/LP_1[Intro].htm10. Porter, A. L., Rossinni, F., Carpenter, S. R, Roper, A. T., Larson, R. W., and Tiller, J. S. (1980). A guidebook for technology assessment and impact analysis. New York: North Holland.11. Flowers, J. (2005). Usability testing in technology education. The Technology Teacher, 64(8), 17-1912. Duffy, T.M., & Cunningham, D.J. (1996). Constructivism: Implications for the design and delivery of instruction. In D. H. Jonassen (Ed.), Handbook of research for educational communications and technology (pp. 170-198). New York: Simon & Schuster Macmillan.13. Flowers, J. (2007). Technology assessment
Project,” Proceedings of the 2005 ASEE Annual Conference and Exposition, Section 1648, June 2005.3. Wang, J., Liu, S., and Price, A. H., “The Dancing Marionette - An Interdisciplinary Capstone Design Experience for Engineering Technology and Computer Science Students,” ASEE Annual Conference, June 18- Page 13.536.11 21, 2006, Chicago, Illinois.4. Pocius, A. V., Adhesion and Adhesives Technology – An Introduction, Hanser Verlag, 2002.5. Gerhard Gierenz, Werner Karmann. “Adhesives and adhesive tapes”, 2001, New York.6. Philippe Cognard. “Handbook of adhesives and sealants”, 2003, New York.7. Phillips, J., Adams, B
Page 13.682.11 Press.2. Smart, M. (2005). The Role of Informal Leaders in Organizations: The Hidden Organizational Asset. Moscow, ID: University of Idaho.3. LaFasto, F. & Larson, C. (2001). When Teams Work Best: 6000 Team Members and Leaders Tell What It Takes To Succeed. Thousand Oaks, CA: Sage Publications.4. Pescosolido, A. (2001). Informal leaders and the development of group efficacy. Small Group Research 32 (1), 74-93.5. Northouse, P. (2004). Leadership: Theory and practice. 3rd edition. Thousand Oaks, CA: Sage Publications.6. Hill, S. (2004). Team leadership. In P. Northouse (Ed.). Leadership Theory and Practice. (pp. 203-234) Thousand Oaks, CA: Sage.7. Pielstick, C. (2000). Formal vs. Informal
offer incentives to keep them in the BrazosValley. It is the intent of E4 to have two businesses transition out of the incubator and bereplaced with two new start-up ventures each semester. These start-up ventures provide a focusof interdisciplinary activities through the partnership formed between academia and the privatesector. A reasonable ownership in the new companies will be realized both by the Universityand the private sector partner(s) involved commiserate with resources provided. Through aformal agreement process, team members choosing not to be directly involved in the incubatorprocess, will have the opportunity to participate in the ownership of the new venture throughdirect financial contribution or in-kind commitment.Technology
, we decided to introduce students to commonly followed steps in science andengineering research (Kumar, 2005) and engage them in exploratory project activities.Table 1. Example topics and sponsors of summer camp projects 2004 2005 2006Composite Skateboard Design, Vacuum and Applications, U. Biofuel Production, S. PryorR. Pieri, Mechanical Engineering Bergurhause, Chemistry and D. Wiesenborn, Agricultural and Biosystems EngineeringProduction of Hydrogen Gas Operations Research: Science Water Quality Monitoring andfrom Electrolysis, W. Lin, Civil of Making Decisions, D
). Communities of Practice: Learning, Meaning and Identity. New York, NY: CambridgeUniversity Press.8 Gee, J. P. (2001, 10-13 December). The new capitalism: What’s new? Paper presented at the Productive learning atwork, New South Wales, Australia.9 Gee, J. P., Allen, A.-R., & Clinton, K. (2001). Language, Class and Identity: Teenagers Fashioning ThemselvesThrough Language. Linguistics and Education, 12(2), 175-194.10 Miles, M., & Huberman, M. (1994). Qualitative Data Analysis: an expanded sourcebook (2nd ed.). ThousandOaks, CA: Sage.11 Turns, J., & Lappenbusch, S. (2006, June 18-21). Tracing Student Development During Construction ofEngineering Portfolios. Paper presented at the ASEE Annual Conference & Exposition, Chicago, IL.12
engineering classroom. Additionally, the inherent goal Page 12.1036.9orientation of different types of courses (e.g., content area or design) needs to be fullyinvestigated in a classroom environment. The subject of motivation in undergraduateengineering programs is ripe for investigation, and will be the subject of subsequentresearch by the authors.References[1] K. A. Smith, S. D. Sheppard, D. W. Johnson, and R. T. Johnson, "Pedagogies of Engagement: Classroom-based Practices," Journal of Engineering Education, vol. 94, pp. 87-101, 2005.[2] C. Ames, "Classrooms: Goals, Structures, and Student Motivation," Journal of Educational Psychology
organization. We decided tohave interested youth join college students directly within the game courses and work alongsideeach other. If we could demonstrate that this approach would engage the participants, then wecould offer a template for a relatively cheap way to provide an outreach program. Moreover, wecould show how academic groups could partner with local community organizations using games.2.3 The Outreach ProgramOur outreach program found college student volunteers who mentored with apprentices (alsocalled interns). TLW gathered a list of prospective apprentices, screened by the courseinstructor(s). While the college student groups coalesced early in the semester, the instructorcalled for mentors and matched apprentices to them. The
Workshop.Description available at http://www.asce.org/exceed/.10 Center for Teaching Excellence, United States Military Academy. Available athttp://www.dean.usma.edu/centers/cte/11 Bowman, Bruce A. and Farr, John V. (2000) “Embedding Leadership in Civil EngineeringEducation.” Journal of Professional Issues in Engineering Education and Practice., ASCE,126 (1), 16-20.12 Meyer, K., Morris, M., Estes, A., and Ressler, S. “How to Kill Two Birds with One Stone—Assigning Grades and Assessing Program Goals at the Same Time.” Proceedings of the 2005American Society for Engineering Education Annual Conference. June 2005.13 Welch, R., Estes, A. and Winget, D. “Assessment of Squishier Outcomes: Open-EndedProblem Solving through Client-Based Projects.” Proceedings of the
the Classroom, 1999, The Free Press, New York, New York.4. Feisel, L.D. and G.D. Peterson, “A Colloquy on Learning Objectives for Engineering EducationLaboratories,” Proceedings of the 2002 American Society for Engineering Education Annual Conference andExposition, 2002, ASEE, San Diego.5. Florman, S. C., The Existential Pleasures of Engineering, 2nd Edition, 1976, St. Martin’s Press, New York,New York.6. Petrosky, H., To Engineer Is Human : The Role of Failure in Successful Design, 1st Vintage BooksEdition, 1992.7. Karp, W. and L. Lapham, Buried Alive: Essays on Our Endangered Republic, Franklin Square PressJanuary, 2003.8. Becker, Ernest, Beyond Alienation: A Philosophy of Education for the Crisis of Democracy, GeorgeBraziller, Inc., 1967.9
skills that have been acquired in their pursuit of a Bachelor ofScience Degree in Electrical and Computer Engineering Technology at Purdue University,Calumet.The paper examines in detail the previous research and development schemes that were used increating the structure(s), housing of the electronics and propulsion systems of typical remotelyoperated vehicles. The paper focuses on the advantages and benefits achieved in the currentdesign of the Internet Controlled Underwater Vehicle.The paper elaborates on the electronics used in the control and communication between the enduser and the vehicle. Furthermore, details of the of the propulsion system, control system, andthe necessary communication protocols are furnished.I. IntroductionThe
experience many of the common traits of industrial problems1 therebyproviding the learners both technical and non-technical skills that are needed to succeed inindustry.Bibliography1. Jonassen, D., Strobel, J., Lee, C. B., April 2006. Everyday Problem Solving in Engineering: Lessons for Engineering Educators. Journal of Engineering Education 95 (2), 139 – 151.2. Hillier, F. S., Lieberman, G. L., 2005. Introduction to Operations Research, Eighth Edition. McGraw Hill, Boston, Massachusetts.3. Castrogiovanni, A., Sforza, P. M., 1997. A Genetic Algorithm Model for High Heat Flux Boiling. Experimental Thermal and Fluid Science 15, 193 – 201.4. Wang, W., Zmeureanu, R., Rivard, H., 2005. Applying multi-objective genetic algorithms in green
. • Outputs: Product or service delivery/implementation targets you aim to produce. • Customer: User of the products/services. Target audience the program is designed to reach. Outcome Structure • Changes or benefits: resulting from activities and outputs. – Short-term (K, S, A) – Changes in learning, knowledge, attitude, skills, understanding – Intermediate (Behavior) – Changes in behavior, practice or decisions – Long-term (Condition) – Changes in condition Page 12.1425.5The evaluation design is formulated with the program’s underlying logic structure serving as
Development. In addition, she has developed numerous tools to mentor young women considering engineering as a career and has been involved in the development of a women in engineering role model book for K-12 Page 11.1349.1 students.Patricia Carlson, Rose-Hulman Institute of Technology PATRICIA A. CARLSON is professor of rhetoric at Rose-Hulman Institute of Technology. She is a long-time advocate of writing in engineering education. Carlson has been a National Research© American Society for Engineering Education, 2006 Council Senior Fellow for the U. S. Air Forcer, as well as having had
- DEMOB 2.0 2.0 2.0 2.0 CATEGORY - DAYS DIRECT LABOR 19.3 17.0 8.0 5.0 123.2 57.9 71.3 CATEGORY - COST OF DIRECT LABOR 483 255 72 37.5 739.2 1041.6 856 S/TOTAL DIRECT LABOR 3484.3 LABOR CONTINGENCY 10% 348 TOTAL DIRECT LABOR 3833 MATERIALS AUGMENT INTAKE TO SPRING
. Page 11.379.9 Paper submission to ASEE 2006 meeting L. Vanasupa, B. London, K.C. Chen, R. Savage12 “First Class Program at Smith College,” ASEE PRISM (Summer 2004): 17.13 Lima, M., “Service Learning: A Unique Perspective on Engineering Education,” Projects That Matter: Conceptsand Models for Service Learning in Engineering (American Association for Higher Education, 2000): 114-118.14 Schwartz, D.L., X. Lin, S. Brophy, and J.D. Bransford, “Toward the Development of Flexibly AdaptiveInstructional Designs,” Instructional Design Theories and Models: Volume II, ed. C.M
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