standard uncertainties for Xi and where each b i j is the standarddeviation level estimate of the systematic uncertainty in variable Xi resulting from error source j. The standarddeviation level systematic uncertainty estimate for an error source is usually made by making a 95% confidenceestimate of the limits of the error for that source and dividing that estimate by 2 [6]. The second term in Eq. (3)accounts for systematic errors that have the same source and are correlated. The factor bik is the covariance termappropriate for the systematic errors that are common between variables Xi and Xk and is determined from [10] as L bik = ∑ biα bkα
Environmental Education. (ERIC Documentation Reproduction Service No. EDO-SE-00-10)Biographical InformationJOY GARTON KRUEGER is Visiting Assistant Professor within Engineering Projects in Community Service(EPICS), College of Engineering at Purdue University. Dr. Krueger’s research interests focus on: Service learningassessment strategies; engineering service learning within P/K-12 and its application to the pre-college and collegecurricula and academic performance standards as a means for developing quality diverse engineers; and the role ofmultidisciplinary faculty within engineering education.CARLA B. ZOLTOWSKI is Education Administrator of the EPICS Program at Purdue University. She receivedher BSEE and MSEE from Purdue University. She has served
propositions in teaching business to young people also apply in the teaching ofentrepreneurship. The number of businesses created and the economic impact ofentrepreneurship courses and programs at Stanford, MIT, University of Texas-Austin and otherleading universities is testimony to the fact that entrepreneurship skills and know-how can betaught and entrepreneurs can be nurtured through supporting programs in university-basedincubators, entrepreneur associations and local business networks.8,9, 10Environmental Factors Impacting New Venture CreationGiven a satisfactory market opportunity, there are a number of environmental elements that mustbe in place to support a successful start-up. William B. Gartner11 lists ten ingredients that aremost important
KStudents will recognize the application of the new technology on the Earea of heat transfer. G KStudents will understand the concepts and core contents of heat transfer. A B EStudents will understand the concepts of heat transfer and its learning
American Library Association Learning Outcomes to a series of questions(Appendix B). Questions for example, asked faculty if they: 1. Assign some form of library or information-retrieval project at least once a semester 2. Assign students specific information-gathering tasks 3. Have students determine the extent of information needed 4. Access the needed information effectively and efficiently 5. Evaluate information and its sources critically 6. Use information effectively to accomplish a specific discipline related goal 7. Understand the economic, legal, and social
Stimulating Pre-College Interest in Science, Engineering and Mathematics through Space-Oriented Activities Scott Starks, Sally Blake and Eric MacDonald University of Texas at El PasoAbstractThe City of El Paso is a rapidly growing community located on the US-Mexico border that has alargely Hispanic population. The region can be categorized as under-educated and socio-economically disadvantaged. For a number of reasons, most students graduating from El Pasoarea high schools are under-prepared in mathematics and science and thus are at a disadvantagein pursuing engineering programs at the post secondary level.The Texas PreFreshman Engineering Program
multiple-choice type with four choices (A, B, C, and D) each. Students have the option of asking for Page 10.330.2“Hints” before making a selection, but will lose 20% of the points for that problem for doing so. “Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright @2005, American Society for Engineering Education”Once a selection is made, immediate response is provided, and if necessary, students can viewthe complete solution.In any assignment, all the students are first offered Problem P3. Depending on their performancein this problem they will be directed
(1:Agr iculture , 2:Arts , Hum anitie s and Social Scie nce s , 3:Bus ine s s Adm inis tr ation, 4:Engine e ring and Archite cture , 5:Hum an De ve lopm e nt and Education, 6:Phar m acy, 7:Scie nce and M ath) Figure 3 Distribution of engagement scores, by collegeCorrelations between categoriesAs mentioned earlier, the instrument consisted of three blocks of measures. Block A was used tomeasure the level of collaborative learning, Block B measured levels of cognitive complexity,and Block C measured the development of personal skills. All three categories were
survey developed at the University of Illinois.8This multi-part survey contains 19 five point Likert Scale items that are intended to reveal howstudents’ react to specific attributes related to instructional style that are linked to globalevaluations of teaching (Appendix B). On the survey the first two questions look at overallquality of the course and the instructor’s overall teaching effectiveness. The rest of the items areratings of the instructor’s specific instructional attributes such as organizational skill, clarity, andthe ability to generate interest. Results of this measure were used to make modifications to thecourse. Of the 19 questions asked, 16 were grouped into the four factors. Each question asked fora response on a scale from
Page 10.158.8successful change. Some of the existing factors are: “Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright 2005, American Society for Engineering Education” (1) The faculty reward system is one of the major levers of administrative control in universities (2) The axis of control is the T&P process where the existing operational values are: a) Publication in refereed journals b) Funded projects and grants that pay the federal overhead rate c) Outside evaluation of performance by respected academic peers (3) 1 and 2 above form the core of an ingrained system that we are not likely to change in a short
Francisco: Jossey-Bass; 1996. p.57-95.10 Blaisdell S. Predictors of women’s entry into engineering: why academic preparation is not sufficient. Women in Engineering Conference; 1998 Jun 14-16; Seattle, Wash.: Women in Engineering Programs & Advocates Network; 1998. p. 31-37.11 Anderson L, Gilbride K. Gender bias towards engineering careers: does it still exist? 2002 WEPAN Conference Proceedings; 2002 Jun 8-11; San Juan, Puerto Rico: Women in Engineering Programs & Advocates Network; 2002.12 Kauser Jahan PE, Sukumaran B, Head L, Keil ZO. AWE: a workshop for attracting middle school girls to engineering. 2000 WEPAN National Conference; 2000 Jun 25-27; Washington, D.C.: Women in
Professionalism Engineering & & Ethics the Environment a Fleddermann, C. 2004. Engineering Ethics. Upper Saddle River, NJ: Pearson Education, Inc. b Harris, C., M. Pritchard, and M. Rabins. 2004. Engineering Ethics: Concepts and Cases. Belmont, CA: Wadsworth Thompson Learning. c Martin, M. and R. Schinzinger. 2004. Ethics in Engineering. New York, NY: McGraw-Hill. d Mitchum, C. and R. Duvall. 2000. Engineering Ethics. Upper Saddle River, NJ: Prentice Hall. e Schinzinger, R. and M. Martin. 2000. Introduction to
Experience in a Laboratory Environment”, 1996 ASEE Annual Conference, Proceedings on CD-Rom 5. Jorgensen, Jens; Kumar, Vipin; Lamancusa, John; Torres, Miguel “Learning Engineering by Product Dissection”,1996 ASEE Annual Conference, Proceedings on CD-Rom Page 10.406.9 Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Education 6. Anderson, J.; Colgate, J.E.; Hirsch, P.; Kelso, D.; Olson, G.; Shwom, B.; “Engineering Design and Communication: Jump-starting the Engineering
Girls In Science, Engineering, and Technology (GISET) Rasha Morsi, Ph.D. Norfolk State UniversityAbstractWhile the proportion of women earning bachelor’s degrees in science and engineering (S&E) hasincreased, the proportion remains significantly lower than that of women earning bachelor’sdegrees in non-scientific areas, indicating a critical need for additional retention and recruitingtechniques specifically for minority females. In the last few decades, recruiting of minorityfemales has been a challenge to say the least. At Norfolk State University, the student populationis 88% African American, 64% of this population is female, yet there
fromother people,” “do work that I would find satisfying”). Such studies support Albert Bandura’s social cognitive theory which represents humansas self-regulating individuals rather than individuals who function solely on reactions to internalor external events.15 He introduced the concept of self-efficacy beliefs, an individual’s beliefsthat he or she has the abilities necessary to complete specific criterial tasks (e.g. complete anengineering major with a grade point average of B or better), as a major contributor to humanbehavior. Specifically, individuals’ beliefs and behaviors are explained as “reciprocalinteractions among personal, behavioral, and environmental factors.”16 Beyond connecting students’ self-efficacy beliefs to
successfuloutcome was extensive yet valuable. It is our hope to offer this course again in the nearfuture. Once again, financial barriers must be overcome, time and workload constraintsmuch be managed, and a willing group of students with an openness to travel abroad must beidentified. The rich history of engineering and technological developments associated withthe Industrial Revolution contained within such an accessible region in and aroundManchester is an inviting reward for engineering students and faculty alike.Bibliography1. Bollag, B. (2004). Get out of the country, please. The Chronicle of Higher Education, LI (13), p. A42.2. Lane, K. (Dec. 8, 2003). Report, educators call for more study-abroad programs. Community College Week, p. 3-4.3
Project Labs. Page 10.473.5Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for Engineering Education C P M S D M E o C M r e M t i e l M D C P m o a o c a A B C r D f c e a i e o p r t c
, 2001.[13] Nikolic, V., “Pro/engineer and I-DEAS based courses favorite among mechanical engineering students,” ASME International Mechanical Engineering Congress and Exposition, New Orleans, LA, November 17- 22, 2002.[14] Ray, J. and J. Farris, “Integration of design and manufacturing processes in first-year engineering curriculums,” 30th Annual Frontiers in Education Conference – Building on a Century of Progress in Engineering Education, Kansas City, MO, October 18-21, 2000.[15] Jensen, G. C., J. D. Haslam, J. A. Hoech, and M. B. Thompson, “Project based Computer-Aided- Engineering Applications,” 30th Annual Frontiers in Education Conference – Building on a Century of Progress in
. Instructional materials and ongoing resultswill be placed on the course website, located at: http://people.tamu.edu/~jmp9307/cven675/. It isexpected that at a minimum, learners will develop an awareness and basic working knowledge ofwavelet-based problem solving techniques that may be applied in their current and futureendeavors.Literature Cited[1] Chinn, C., and B. Malhotra. 2002. Epistemologically Authentic Scientific Reasoning in Schools: A Theoretical Framework for Evaluating Inquiry Tasks. Science Education. 86: 175-218.[2] Coulibaly, P., and D.H. Burn. 2004. Wavelet Analysis of Variability in Annual Canadian Streamflows. Water Resources Research. 40: W03105, doi:10.1029/2003WR002667.[3] Frazier, M.W. 1999. An Introduction to
Teaching Basic Engineering Concepts in a K-12 Environment Using LEGO® Bricks and Robotics Faruk Taban1, Erdinc Acar2, Ismail Fidan3, Ayhan Zora4 1 University of Nevada, Reno / 2Coral Academy of Science / 3 Tennessee Technological University / 4Technology Center, Deere & CompanyAbstractThis paper explores the impacts of basic engineering concepts of LEGO® Bricks and Robotics inCoral Academy of Science in Reno, Nevada - a Science, Math and Technology Middle and HighSchool - collaborated with the Mechanical Engineering Department, University of Nevada, Reno(UNR). A team from middle school students designed and developed a LEGO® Robot and
, Yalvac, B, Kanter, DE and Goel, N. “Developing a Standards-Based K-12 Engineering Curricula through Partnerships with University Students and Industry.”Proceedings of the American Society for Engineering Education. Session 2530: 6 pages, 2004. Page 10.582.6 Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright 2005, American Society for Engineering Education4. Vanderbilt-Northwestern-Texas-Harvard/MIT Engineering Research CenterStudent Leadership Council (VaNTH SLC) Website. Website URL [http://www.vanth.org/slc],site visited 12/29/04.5. Vanderbilt
noise and check whether the modem drops or not (if sync rate=0, modem drops) a. If sync rate=0, wait 60 sec and check sync rate again. If sync rate remains 0 after 60 sec, stop the test. b. If sync rate>0, modem trains itself and that means traffic will resume. Read the required data and save it in the log file. c. If t>10 sec, stop the test, else increment t by 1 sec and follow steps of 2. Page 10.478.6 Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright © 2005, American Society for
% 0% 20% 40% 60% 80% 100% % Correct PRS Clicker Responses % Correct PRS Clicker Responses (a) (b)Figure 1. Scatter plots of Midterm Exam Score vs. % Correct PRS Clicker Responses for the Midterm 1and Midterm 2. During the first few weeks of the semester (Midterm 1, Fig. 1a), most students fall into oneof two different groups with distinctively different slopes (indicated by dashed-line boxes). By Midterm 2(Fig. 1b), the scatter plot has a similar shape, but the two groups are no longer
engineering technology related areas; b. A thriving Tech Prep program complete with applied courses in the curricular areas of math, science, technology and/or pre-engineering; c. A Project Lead The Way program complete with the necessary curriculum, labs, equipment and teacher training. Page 10.1036.7“Proceedings of the 2005 American Society for Engineering Education Annual Conference & Exposition Copyright 2005, American Society for Engineering Education 3. IPS partner(s) will choose no more than 30 students to participate in the Project PETE program and those students
Tacit Knowledge in the Innovation Process Robert J. Podlasek, PH.D, PE Department of Mechanical Engineering Bradley UniversityAbstractTechnical innovation and entrepreneurship drive economic growth and prosperity. The successof the innovation process depends on utilizing new and existing technical knowledgeexpeditiously and in novel ways. Many new ideas are the result of the convergence of knowledgefrom seemingly unrelated domains and/or fields of interest. Moreover, innovative ideas tend toemerge from a combination of experience, published information, and dialogue. This process ofcollaboration and team science to
Engineering Education Annual Conference & Exposition Copyright © 2005, American Society For Engineering EducationDespite the fact that the students spend a significant portion of their time to understand, code anddocument an existing ML algorithm, the ultimate goal is (a) to compare a number of MLalgorithms or techniques on appropriately chosen benchmark problems, or (b) to apply thedeveloped ML algorithm to solve a real-world problem that, either the supervising faculty hasassigned to the student team. At the end of each year the project’s Academic Committeeevaluates the final products and research reports of each team and selects the best projects interms of quality, which will then be submitted for publication to
respectedengineering and science programs for exceptional high school students. The SSI is limited tooutstanding students who have demonstrated superior academic achievement. The students mustbe in high school, and many have completed two years of math and one year of chemistry. Thestudents must have a “B” average with nothing lower than a “B” in high school math and sciencecourses.The program spans over 5 weeks with a different discipline each week. Some of the weeksessions include engineering, chemistry, physics, computer science, and math. In the past, eachstudent participated in all 5 sessions. Last year the format was changed so that a student couldparticipate in only one session if desired or more. Each day contains 6 hours of activities (i.e.,learning
technology.References1 Bers, M. New, B. Boudreau, L (2004) Teaching and Learning when No One is Expert: Children and Parentsexplore Technology. Early Childhood Research & Practice. 6(2)2 Bers, M. Portsmore, M. (In Press) Teaching Partnerships: Early childhood and engineering students teaching mathand science through robotics. Journal of Science Education and Technology3 Bers, M. Urrea, C (2000).Technological Prayers: Parents and Children Working withRobotics and Values. In Robots for Kids: Exploring New Technologies for LearningExperiences. Edited by A. Druin & J. Hendler. NY: Morgan Kaufman. pp. 194-2174 Howe, C., Tolmie, A., Greer, K., & McKenzie, M. (1995). Peer collaboration and conceptual growth in physics:Task influences on children's
for HCC.RICHARD GILBERT is a professor of Chemical Engineering at the University of South Florida.THOMAS B. CAVANAGH is Program Manager for the Florida Space Research Institute at the Kennedy SpaceCenter, where he oversees the institute’s Advanced Learning Environment (ALE). Tom’s work with the ALE has beenfeatured in numerous publications including Training magazine, Federal Computer Week, Space News, InformationWeek, and the Washington Post. Tom holds a BS in Communications from the University of Miami, an MBA inTechnology Management from the University of Phoenix in Orlando, and is pursuing a Ph.D. in Texts & Technologyat the University of Central Florida. He represents the Independent Colleges and Universities of Florida on the
) students’ behavior; (b) students’ prior knowledge, (c) relevance of projectactivities to students’ personal experience, and; (d) scheduling of mathematics andscience activities during the school day. Figure 2 shows student achievement on stateaccountability tests for science. Figure 3 shows graduate fellows’ and teachers’ responseson their general impressions on three factors that influence their willingness to try newideas in the classroom. These factors included: (a) school resources; (b) administrativesupport, and; (c) parental support. Challenges to engaging K-12 students 5 4.5 4 3.5 behav 3