the Computer Age G. Forman and P. Pufall, Ed.4. Chi, M.T.H. (1992). Conceptual change within and across ontological categories: Examples from learning and discovery in science. In R. Giere (Ed.), Cognitive models of science ( pp.129–186). Minneapolis, MN: Minnesota Press.5. Streveler, R.A., Litzinger, T.A., Miller, R.L., and Steif, P.S. (2008). Learning conceptual knowledge in the engineering sciences: Overview and future research directions. Journal of Engineering Education, 97(3), 279-294.6. Posner, G.J., Strike, K.A., Hewson, P.W., & Gertzog, W.A. (1982). Accommodation of a scientific conception: Toward a theory of conceptual change. Science Education, 66, 211–227.7. Vosniadou, S. & Ioannides
course. The goal is to autonomously drive around the track as quickly as possible.Teams have multiple attempts, including a qualifying and finalists round, to record the fastesttimes. Awards are given to first, second and third place winners. Additionally, awards are givenfor innovative design, technical merit and quality of production as determined by the regions.The track layout is not known to the challengers until race day. Each year changes are made tothe tracks which contain several elements of difficulty including hills, hairpin turns, S-curves,and high speed straight-aways. The surface of the track is white, with a 1 inch black stripe pathfor the onboard vehicle sensors to track.Teams are broken down into two divisions, the camera
). DataBytes: Diverging Trends Where Women Are Headed. ASEE Prism, 17(2), 22-23.[2] Engineering Workforce Commission of the American Association of Engineering Societies, Inc., Engineering and Technology Degrees 2005.[3] National Science Board, Science and Engineering Indicators – 2006, Publication No. NSB-06-01.[4] Huang, P. & Brainard, S., “Identifying Determinants of Academic Self-Confidence Among Science, Math, Engineering, and Technology Students,” Journal for Women and Minorities in Science and Engineering, 7, 2001, pp. 315-337.[5] Brainard, S.G. & Carlin, L., “A Six-Year Longitudinal Study of Undergraduate Women in Engineering and Science,” Journal of Engineering Education, 87(4), 1998, pp. 369-375.[6
Academic Librarianship, 34:1, pp. 25 -30, 2008.3. Acar, B. S., Newman, I. A. “Students as Tutors-Learning Problem-Solving Skills by Tutoring PBL” International Journal of Engineering Education, 19:5, pp. 712-716, 2003.4. Denayer, I., Thaels, K., Sloten, J. Vander and Gobin, R. “Teaching a structured approach to the design process for undergraduate engineering students by problem-based education” European Journal of Engineering Education, 28:2, pp. 203 – 214, 2003.5. Said, S. M., Adikan, F. R. Mahamd, Mekhilef, S. and Rahim, N. Abd “Implementation of the problem-based learning approach in the Department of Electrical Engineering, University of Malaya” European Journal of Engineering Education, 30:1, pp. 129 - 136, 2005.6
EngineeringEducation Annual Conference, Pittsburgh, PA.9. Ressler, Stephen J., Gash, Richard, Conley, Christopher, Hamilton, Scott R., Momand, Farid, Fekrat,Qaium, and Gulistani, Aziz. "Implementing a Civil Engineering Program at the National Military Academyof Afghanistan." American Society for Engineering Education Annual Conference, Pittsburgh, PA.10. Estes, A. C., Welch, R. W., and Ressler, S. J. (2005). "The ExCEEd Teaching Model." Journal ofProfessional Issues in Engineering Education and Practice, 131(4), 218-222.11. Mortenson, Greg, and Relin, David O. (2007). Three Cups of Tea: One Man's Mission to PromotePeace . . . One School at a Time Penguin.12. Welch, R. W., Ressler, S. J., and Estes, A. C. (2005). "A Model for Instructional Design." Journal
-fit equation using least-squares regression analysis as shown in Figure 8.As with the calibration equation for the conductivity sensor, this equation is first used to Page 14.56.7establish convenient set-point time values for various temperature values, then the equation isinverted to provide temperature values based on sampled time values. In addition, as with theconductivity sensor equation, this inverted calibration equation must be adjusted to work with theinteger values provided by the Basic Stamp controller. RCTIME value versus Temperature RCTIME value (2 s
traditionally taught students. Journal of Engineering Education, 87(4), 469- 480.11. Prince, M. J., & R. M. Felder. (2006). Inductive teaching and learning methods: Definitions, comparisons, and research bases. Journal of Engineering Education, 95(2), 123-138.12. Smith, K. A., Sheppard, S. D., Johnson, D. W., & Johnson, R. T. (2005). Pedagogies of engagement: Page 14.1334.8 Classroom-based practices. Journal of Engineering Education, 94(1), 87-101.
inTable 1.Table 1: M.S. in Technology Courses Offering Fall 2006 to Fall 2008 Semester Course Title Graduate Undergrad Enrollment Enrollment2006-F ECET 581 Wireless Sensor Network Sys & Apps (CPET 499) 2 42007-S CPET 581 Mobile Computing Tech & Apps (CPET 499) 2 52007-S IT 507 Measurement and Eval in Indus & Tech 6 N/A2007-F ECET 581 Wireless Sensor Network Sys & Apps (CPET 499) 2 12007-F ECET 581 Advanced Network Security (CPET 499) 5 52007-F IT 508
quickly,compared to one with slow convergence. The problem only needs to be solved once so there islittle benefit to choosing a technique whose iterative process starts easily. In fact, there is no needto use any of the numerical methods covered by the textbook. Students may use a plottingpackage to solve it graphically. They may perform a manual search by punching numbers into apocket calculator. They may find a canned routine that generates the root(s) without requiringany thought at all.In the gear shifting problem, choice of root finding technique is critically important. Forexample, any technique that requires a derivative is doomed to fail: differentiation of discretelysampled data is inherently noisy. Furthermore, students need a technique
direct costs as well asto support it with the participation of their employees.Bibliography 1. Anwar, S., Favier, P., Ravaliterra, G “An International Collaboration in Engineering Project Design and Curriculum Development: A Case Study”, Proceedings ICEE 1999, Paper 123, Prague, Czechoslovakia, July 1999. 2. Burain, S., et. al., “Multidiscipline Team Teaching Approach to Enhance Project Based Learning of Sustainable Design”, Proceedings, Annual Conference of the American Society for Engineering Education, Pittsburgh, PA, June 2008 3. Widmann, J., “Enhancement of the Capstone Industry Sponsored Senior Projects Through Team-Based, Product Realization Activities”, Proceedings, Annual Conference of
personality-based teams outperformed the C Hour self-selected teams in bothhang time and accuracy (as measured by the average distance their rockets landed from thetarget) as can be seen below: B Hour C Hour Instructor Assigned Teams Self Selected Teams Avg Rocket Hang Time Avg Rocket Hang Time 6.20 s 5.82 s Avg Distance to Target Avg Distance to Target 47.8 ft 60.6 ft Figure 7: Section Performance on EDP 2The personality-based
textbooks. Researchers have plagiarized reports,articles, and book chapters.” Most people may not be aware that the late civil rightsleader, Martin Luther King Jr., was believed to have plagiarized5 his doctoral dissertationin theology, completed at Boston University. In his dissertation he used information fromBoston University graduate, Jack S. Boozer’s dissertation without proper citation. Eventhough this came to light in 1991, nearly 35 years following King’s death, it tends toportray one of the greatest American leaders in a bad perspective. Even though theinquiry committee at Boston University acknowledged that he had indeed committedplagiarism, his degree was not withdrawn and the case was declared closed6.An article written by Australian
minimize the time commitment to use such a system for his/her courses. Finally, thedesign of the system must be sufficiently flexible to be used in a wide range of courses,disciplines and institutions.Bibliography1. Polkowski, L., Tsumoto, S., Lin, T.Y., Rough Set Methods and Applications: New Developments in Knowledge Discovery in Information Systems, Physica-Verlag, New York, 2000.2. Lee, S.W., Lerschberg, L., A methodology and life cycle model for data mining and knowledge discovery in precision agriculture, IEEE International Conference on Systems, Man and Cybernatics, vol. 3, pp. 2882-2887, 1998.3. Ahmad, F., Zakaria, N.H., Osman,S.W.R., Transforming Information-Based Agricultural Portal to Knowledge- Based
, strength etc. Furthermore, it is also stressed that the cost ofmaterials and manufacturing, is comparable to the parts that are being reengineered.Session 3: Reengineering of an actual engineering component made out of AluminumIn the lectures 1 and 2 of Session 3, a replacement for a typical aerospace part made out ofAluminum 2024- T3 is considered as a reengineering project. First students are provided withphysical properties of the aluminum and fiberglass/carbon composites. In general students followthe following procedure for reengineering the component using composite materials.Reengineering procedure≠ Tape properties are calculated using classical micro-mechanical theory for S-Glass fibers and Carbon fibers with Epoxy resin system
in the area of lightwave communications and optical logic. At Sangamo Weston he was responsible for R\&D Page 14.485.1 groups at ten divisions. At Hayes was responsible for the development of modems with data compression and error control, and for Hayes' representation on CCITT and ANSI standards committees. Dr. Copeland received B.S., M.S. and Ph.D. degrees in physics from the Georgia Institute of Technology . He has been awarded 41 patents and has published over 60 technical articles. In 1970 he was awarded IEEE 's Morris N. Liebmann Award for his work on gallium© American Society for
assessment that will assist ASCE in meeting its goals set forth for BOK-2. The complete BOK2, which can be found in American Society of Civil Engineers (2008),is not duplicated in this paper due to limitation on the number of pages. Table 2 provides onlyexcerpts of the first two BOK2 outcomes, namely Mathematics, and Natural Sciences. BOK2contains a total 24 rows for the knowledge dimension and 6 columns for the level of cognitiveachievement. Each cell contain rubric that students must satisfy in order to reach a certainknowledge level in a knowledge topic. Each rubric has a verb (outlined in bold letter) for de-scribing the cognitive level, followed by object(s) for describing the knowledge dimension. Forinstance, “Define key factual
4to resign. Siemaszko declined to resign. Being concerned that quitting might indicate that hewas guilty of misconduct, Siemaszko chose to be fired.16 Shortly after being fired Siemaszko filed a whistle-blower lawsuit against FENOC withthe Occupational Safety and Health Administration claiming that he was fired for his efforts toraise concerns about safety at Davis-Besse. FENOC defended itself by claiming that: “Siemaszko failed to follow the Boric Acid Corrosion Control procedure and inaccurately recorded the results of his 2000 … inspection and cleaning activities”, and “Siemaszko was a key technical contributor to the Company’s response(s) to NRC Bulletin 2001-01… which contained inaccurate and/or
other tmcs of calculations. EXPLICIT ASSUME EA lMaking explicit assumptions. IMPLICIT ASSUME IA lMaking inmticit assunmtions. CONSTRAINTS CON When a subject identit%s, deals with, or checks to scc if a constraint is met. INFORMATION IRU Subject requested something which the experimenter could not give. REQUEST UNAVAILABLEObject * SLIDE SLIDE Small or large slide. WOOD WOOD Wooden jungle gym slructurc. STRUCTURE STRUCT STEPS STEPS I Steps for the structure. SWING SWING lSmaU or
the . Page 1.445.1 > -. . ?$iiii’ } 1996 ASEE Annual Conference Proceedings ‘S.,y:y’.?repcwt+ad it shows.. We may decide that they’re simply “bad” writers. 1 would argLle that this is not always the ~case, any more than that those who gave poor speeches were necessarily just “bad” at oral communication. — -.. . . . . A problem in many of these cases is that the students don’t “own” what they’re communicating about.They find it difficult to make their topic relevant or useful for their audience because they don ‘t themselves seethe
I Session 1634 .— - ..... —... —..- Demystifying Academic Careers for Graduate Students S. A. McComb and L. G. Blevins Purdue UniversityABSTRACTA graduate seminar series has been developed by the Purdue University student chapter of ASEE. Seminartopics include suggestions for getting the right job, keeping a job, and developing a personal educationphilosophy. Attendance has averaged over 100 students
implementation process as educational experience for the undergraduate students. This paper chronicles the implementation of an ILI project. Over 30 students were involved in the design and installation of the lab. The students’ majors include Industrial Technology, Civil Engineering, Industrial Engineering, Mechanical Engineering, Materials Engineering, Welding Engineering Technology and Electrical Engineering. The lab is for Microelectronics Processing, but the ideas are generic and can be applied to implementing other projects. Introduction-The Case for Taking the Path of More Resistance Engineering education in the 1990’s has been undergoing many changes. Some of the changes, like using distance learning and
. Page 1.315.5.——. —.. .,—. :“1{2 :.~. :,<> !...X,,, : ,!. ,’ ,.. .$’$ _ .. —_ —_ —.___ -.,_______ ‘“X% ~~~p lgg(j ASEE Annual Conference Proceedings ‘.,+,lllllil:JAMES ALLEN JACOBSIn 30 years of teaching experience in community colleges and universities, he has conducted research andtaught courses related to engineering materials manufacturing technology. Memberships include theMaterials Education Council of the U. S., ASM International, Society of Manufacturing Engineers, NationalAssociation of Industrial Technology, and American Society for Engineering Education
Session 2520 Society and Technology for Non-Engineering Majors Robert L. Drake University of Tennessee at Martin ABSTRACT A course to introduce non-engineering students to technology ande n g i n e e r i n g is d e s c r i b e d . The course is entitled “Society andTechnology” and stresses the use of digital computers in datacollection, simulation, and control operations. One purpose of
’9 9 6 ‘ S E E ‘“””” 1. broadening the context through putting the mathemat- Consider the following problem. For the function i@~~ new or veiled setting [3], f(z, y) = (X3 - 3X + 4)/(z4 -t 5y4 + 20), 2. deepening the level of detail or analysis, e.g., asking for maximum acceleration levels on a messy function d;awn from a realistic position function, suppose your eye is precisely on the surface z = f (x, y) 3. stepping up the mathematical level of the problem, e.g., at the point (2.8, .5, f (2.8, .5)). You look to the west, i.e. going from linear to non-linear formulation, or in the direction (roughly) (— 1,0
as shown inFigure 1. The presentation uses colorful andattractive overheads describing an undergraduateresearch experience at NASA Lewis ResearchCenter in the Space Experiments Division (thisgroup develops experiments for the space shuttleand trains astronauts in their use). The presentationis supplemented with slide photographs and videotape of the work which was performed at NASA.BACKGROUND Since the early 1970's, microgravity scienceresearch has emerged as a new way to reveal theunderlying physics and chemistry of combustionphenomena. The early work in microgravitycombustion, and the majority of the work done thusfar, has been conducted in ground-based facilities, FIGURE 1. WSU engineering student Davidi.e., the 2.2- and
and Professor of Industrial and Manufacturing Engineering at Wichita State University. She received a B.S. in Industrial Engineering from the University of Puerto Rico and a M.S. in Industrial and Operations Engineering in from the University of Michigan. She also holds a Ph.D. in Industrial and Systems Engineering from Georgia Institute of Technology. Dr. Toro-Ramos has been in academic administration for over sixteen years. Her research interests include engineering education, broadening the participation in higher education and transformation of institutions of higher education.Barbara Chaparro, Wichita State University Barbara S. Chaparro has a Ph.D. in Experimental Psychology from
university, including come-and-go tutoring sessions andthe more formal Supplemental Instruction program (both of which averaged 10 – 20 students perday total from all lower-level mathematics courses, including calculus).Homework/E-Mail: In the Fall of 2006 the Mathematics and Statistics Program at LouisianaTech University began piloting a web-based homework system in an effort to increase studentmastery of course content and increase individual student accountability on out-of-classassignments. They chose a program called WeBWorK14, developed in the mid-1990’s atUniversity of Rochester by Arnold Pizer and Michael Gage. Two of the primary goals of thisproject were: 1) to increase student mastery of course content, and 2) to increase individualstudent
Integrated Postsecondary Education Data System (IPEDS), Fall 2006.2. Lent, R. W., Brown, S. D., & Hackett, G. (1994). Toward a unifying social cognitive theory of career and academic interest, choice, and performance. Journal of Vocational Behavior, 45(1), 79-122. Page 14.306.93. Vroom, V. H. (1964). Work and motivation. New York: Wiley.4. Bandura, A. (1986). Social foundations of thought and action : A social cognitive theory. Englewood Cliffs, N.J.: Prentice-Hall.5. Fouad, N. A., & Smith, P. L. (1996). A test of a social cognitive model for middle school students: Math and science. Journal of
satisfied with thelaboratory experience. Furthermore, as indicated by students’ survey results in two consecutiveyears, significant improvements in this laboratory were accomplished by introducing traditionalmanufacturing processes through the book-making processes. Finally, the laboratory equipmentpurchased to run the book-making experiment was inexpensive thus making it affordable forimplementation in many other institutions.Bibliography1. Peters, F., Jackman, J, Ryan, S, and Olafsson, S., “An Active Learning Environment in an Integrated Industrial Engineering Curriculum,” Proceedings of the 2003 ASEE North Midwest Section Conference, 2003. http://www.asee.org/activities/organizations/sections/proceedings/NorthMidwest/2003/contents
ownediron mines in Minnesota, coal mines in West Virginia, and rubber plantations in Brazil inhis attempt to control the entire supply chain. This model was followed by other largemanufacturers such as General Motors and process industries such as Standard Oil. So Page 14.147.2powerful was this model that through the 1960’s their sheer size and integration fendedoff competition since challenging such behemoths was considered too expensive for anysingle company. The amount of capital required to compete was widely accepted as arelatively insurmountable “barrier to entry” thus ensuring monopolies and oligopoliesespecially in the auto industry.3 From the 1920s