Discretion on Individual Creativity, Journal of Applied Psychology, 16, pp. 179-185. 7. RUNCO, M.A. & ALBERT, R.S. (1990) Theories of Creativity (New York, Sage). 8. BROOKS, R. (A.K.A JAMES MATTHEWS) & JAHANIAN, S. A Pedagogical Strategy for Gradual Enhancement of Creative Performance of the Students. European Journal of Engineering Education, Vol. 24, No. 1, 1999. 9. LUMSDAINE, M. & LUMSDAINE, E. (1994) Creative Problem Solving: Thinking Skills for a Changing World (New York, McGraw Hill Text). 10. HALDAR, A AND MAHADEVAN, S. 2000. “Probability, Reliability and Statistical Methods in Engineering Design”, John Wiley and Sons, New York
discipline, the lines between academic and socialintegration in the student experience are blurred such that a general term such as “sense ofbelonging” is more appropriate. Two main themes emerged from the data with regards tostudents’ sense of belonging: (a) the impact of participants’ connectivity with peers, faculty andthe College of Engineering; and (b) the extent of participants’ socialization to the engineeringprofession. The primary contribution of these findings is a better understanding of theengineering student experience that suggests a revision to Veenstra et al.’s Model of EngineeringStudent Retention. In addition, these findings extend previous recommendations related to first-year engineering instructional and student support
to the academic and career goals of thestudent. This began the active learning process. An example of “The Frame” is illustrated in Figure 1. The student has an interest in howdiseases spread. The student’s career goal was to go into a biomedical field. The studentresearched the process and found a set of differential equations that model the spread of diseasefor a particular and general case.5,6Figure 1. “The Frame” utilized in the context of the spreading of disease. Susceptible βI Infected g Recoveredβ = transmission rate, B = birth rate, d = death rate, R0 = reproductive rate (rate that infectedpersons cause new infected persons), g = recovery rate, S, I and R are the populations of thethree
, thestudents were instructed on a computer code, developed by Morin, that determined thesurvivability of a crewmember given an acceleration/deceleration loading profile and a givenstopping distance. Again, it must be stressed that these are very simplistic relationships at thispoint and, at most, very crude approximations of actual behavior. However, they are very usefulfor students to develop a “feel” for how parameter variations can affect performance and design. Restrained Human Tolerance—Uninjured Limits for < 0.1-s Duration +15 g Note: Limits are just approximations; onset rates must also be
education to prepare graduates for a successful career in business and industry.Customarily, instruction was conducted on the central campus in classroom and laboratorysettings. This mode of instruction was suitable for many years and met the needs of theRochester, NY community.Beyond the HorizonWhile RIT has long had a part-time evening program to accommodate adult learners, thisprogram was operated in a fashion similar to the full-time day program. In the 1970’s it becameapparent that there was a potential to expand instructional offerings to other geographical areas, Page 9.469.1especially the programs offered in the School of Engineering
environment the user first receives the instructions in text format forthe specific step, s/he then has to understand the instruction and show his/her level ofunderstanding in the environment by executing the step interactively. The training modules in theCAD environment are structured into lessons according to CAD software operations required forsolid model creation. Every CAD training module, in the environment, is structured into twomain components (Figure 1): 1. Lessons that interactively demonstrate how to create solid models using the CAD software. Each lesson covers different functions available for solid modeling. After completion of the lesson in the interactive environment the users can view and interactively rotate
Session 2532 Evaluation of the Accuracy and Effectiveness of Portfolio Based Student Self-Assessment Christopher S. Greene and Jeffrey A. Jalkio Department of Engineering University of St. ThomasAbstractOne advantage of having clearly articulated learning objectives for courses is that students canfocus on these objectives to help them unify course material. Unfortunately, students oftenignore the stated course objectives and focus their attention on the specific work required to earngood grades from the instructor
problems. Six problems involved algebraicsolution, two problems involved trigonometry, and one problem involved graphical analysis. A tenthquestion, not involving any variables, was included as a control question.The survey instrument was prepared in two versions, one using the variables x and y, the otherversion using the variables g, h, m, n, p, Q, q, r, s, t, and r. The questions on the two versions wereidentical except for the variables used. (See Figures 2 and 3)The survey was conducted on an unannounced basis. Calculators were allowed. The grade historywas completed first, after which fifteen minutes were given for the problem-solving portion.One hundred twenty five survey forms were completed; of these, four were multiple responses from
. 3.0The real-world project(s) exposed me to stimulating ideas about this course’s and 3.2other courses’ subject.I usually confined myself to the course textbook, materials or online postings when 2.0searching for solutions to problems found in the project.I seldom reviewed literature beyond the sources that are included in the course 2.1syllabus or online postings.Working with business client was a positive experience. 3.1 Page 9.279.3 Proceedings of the 2004 American Society for Engineering Education Annual Conference & Exposition
Electronics. 1989, Cambridge: Cambridge University Press.4. Evans, A., T. Davies, and S. Wilks, Is your laboratory a turn-off? Intl. J. Elec. Eng. Educ., 2002. 39(3): p. 284-292.5. Wright, C.H.G., et al. Teaching DSP: bridging the gap from theory to real-time hardware. in Proceedings of the American Society for Engineering Education Annual Conference and Exposition. 2002.SAMARA FIREBAUGHSamara Firebaugh is an assistant professor at the U. S. Naval Academy, where she teaches and conducts research inthe field of microelectromechanical systems. She received the B.S. degree from Princeton University in 1995 andthe M.S. and Ph.D. degrees from the Massachusetts Institute of Technology in 1997 and 2001.BRIAN JENKINSBrian Jenkins
Context: Page 24.511.6 impact on natural systems, including key vocabulary; client(s) Primary - Engr (redesign desired features; and budget. They are given an option list for park considering client choices of what they would like to place in the outdoor area. At the needs and budget) closing of the lesson, the students share their design with the Secondary - Sci (use client, as well as a planned persuasive presentation to influence the learned info on human client to
5TH ANNUAL SYSTEMS ENGINEERING DAY INNOVATIVE GREEN SYSTEMS OF SYSTEMS UNIVERSITY OF TEXAS AT EL PASO GREEN ENERGY MANUFACTURING WORKSHOP SCHEDULE (Sponsored by the U.S. Department of Education) THURSDAY, APRIL 25, 2013 Time Location Description Presenter(s) 1:00 – 2:30pm EPNGCC Dr. Louis Everett Essential Ethics for Leadership Program Director, NSF
, 2004. Coal: A Human History. Penguin Books.7. Jacobs, Jane. The Economy of Cities (1969) or The Nature of Economies (2001), both from Vintage Press8. Lau, Andrew (2010) "Sustainable Design: A New Paradigm for Engineering Education" in International Journal for Engineering Education, 26(2) 252-2599. Lau, Andrew S. (2004) "Life-centered Design - A Paradigm for Engineering in the 21st Century" ASEE 200410. Lau, Andrew S. (2010) A Philosophy of Sustainability for the 21st century. In Materials Research Insittute, PSU, Summer 2009.11. Lubchenco, Jane (1998) "Entering the Century of the Environment: A New Social Contract for Science" Science 279(23 January) 491-49712. McConville, J.R., and J.R. Mihelcic, “Adapting Life Cycle Thinking
enhanced student retention in both groups. The enhancementwas more for the women group.Further, an important and interesting observation from this study about student attrition suggeststhat early period after admission is decisive for a significant majority of students, irrespective ofgender.Bibliography1. Cech, E., Rubineau, B., Silbey, S., & Seron, C. (2011). Professional role confidence and gendered persistence in engineering, American Sociological Review, 76(5) 641–666.2. Databytes: Female enrollment in engineering undergraduate programs still growing. Connections – newsletter of the American Society for Engineering Education (ASEE), December 2013. (http://www.asee.org) (Last accessed, December 2013
.b Crystal Ball Fit Case Instruction, EM620 course material, Stevens Institute of Technology, (2011).17. Merino, Donald M., “Fall 2011 – Part 3.c Cost Estimation Report Instruction”, EM620 course material, Stevens Institute of Technology, (2011).18. Merino, Donald N,PhD., P.E., & Gandhi, S. J. (2012). SOME OBSERVATIONS FROM THE SPECIAL ISSUE EDITORS ON GREEN ECONOMICS. Engineering Management Journal, 24(4), 1-2. Retrieved from http://ezproxy.stevens.edu/login?url=http://search.proquest.com/docview/1434438772?accountid=1405219. Rana, Vishwajeet. (2011). The Energy Economics of Financial Structuring for Renewable Energy Projects. (Doctoral Dissertation). Retrieved from ProQuest. (3467236).20. Tverberg
Paper ID #9007Collaborative Education: Building a Skilled Software Verification and Vali-dation User CommunityDr. Sushil Acharya, Robert Morris University Acharya joined RMU in Spring 2005 after serving 15 years in the Software Industry. With US Airways, Acharya was responsible for creating a conceptual design for a Data Warehouse which would integrate the different data servers the company used. With i2 Technologies he led the work on i2’s Data Mining product ”Knowledge Discover Framework” and at CEERD (Thailand) he was the product manager of three energy software products (MEDEE-S/ENV, EFOM/ENV and DBA-VOID) which were
input from other faculty members who are activelyengaged in hands-on pedagogical activities.Biobliography1. B. Ferri, S. Ahmed, J. Michaels, E. Dean, C. Garvet, S. Shearman, "Signal ProcessingExperiments With LEGO MINDSTORMS NXT Kit for Use in Signals and Systems Courses,"Proceedings of the American Control Conference, St. Louis, June 2009, pp. 3787-3792.2. G. Droge, B. Ferri, and O. Chiu, “Distributed Laboratories: Control System Experiments withLabVIEW and the LEGO NXT Platform,” ASEE Annual Conference and Exposition, SanAntonio, June 2012.3. B. Ferri, J. Auerbach, “A Portable Finite State Machine Module Experiment for In-Class Use inLecture-Based Course, ASEE Annual Conference and Exposition, San Antonio, June 2012.4. B. Ferri, J. Auerbach
Paper ID #9177Creating an Infrastructure Education Community of PracticeDr. Philip J. Parker P.E., University of Wisconsin, PlattevilleDr. Carol Haden, Magnolia Consulting, LLC Carol Haden is s Senior Evaluator with Magnolia Consulting, LLC. She holds a doctorate in Curriculum and Instruction with an emphasis on program evaluation from Northern Arizona University. Dr. Haden has extensive experience in the evaluation of formal STEM education projects across the K-20 spectrum and the evaluation of informal STEM Education and Public Outreach (E/PO) programs. She has designed and implemented evaluations of programs
, and theupper cylindrical support that connects to the robot wrist assembly on the other side. It representsa passive compliance system with minimal friction that compensates for misalignments betweenthe positioning holes on the end-effector and on the fuel cell components and the PTFE pinsmounted on the endplate during pick up and release operations. This compliance system alongwith the conical tip of the alignment pins may compensate for misalignments as large as a fewmillimeters, which are much larger than the usual limitations in a robot’s accuracy andrepeatability.The workcell for automated fuel cell assembly (see Figure 1) demonstrated during the capstonedesign project class consists of a single Fanuc S 420F robot and a workbench on
inquiry and creativity, further correlating participation in these activities withchanges in creativity and interest in engineering.References 1 Intel Corporation (2011), Exposure to Engineering Doubles Teens’ Career Interest. December 6, 2011. http://newsroom.intel.com/community/intel_newsroom/blog/2011/12/06/exposure-to- engineering-doubles-teens-career-interest. 2 Bachman N., Bischoff, P.J., Gallagher, H., Labroo, S., and Schaumloffel, J.D. (2008). PR2EPS: Preparation, recruitment, retention and excellence in the physical sciences, including engineering, a report on the 2004, 2005, and 2006 science summer camps. Journal of STEM Education. vol. 9, pp. 30-39. 3 Enriquez, A. (2010). Improving the participation and
technology faculty indelivering such an initiative? What form should it take?Clues to answer the first question were found from a literature search and a survey of area highschool counselors and teachers, community college technology program directors, careerservices liaison, four-year administration, and faculty. Observations of the survey data (Table 1)as reported in a 2010 paper1seem to indicate the respondents felt that their understanding ofengineering/engineering technology ( the ‘E’ and ‘T’ of STEM) as being lower than theunderstanding of Math/Science (the ‘S’ and the ‘M’ of STEM). The responses seem to indicatethat there is a greater need for the involvement by engineering/engineering technology programsin STEM education
organization specific training that fit in with the organizational structure and culture to facilitate success. Bibliography 1. J. A. Cannon, M. J. Arnold. 1998. Student Expectations of Collegiate Internship Programs in Business: A 10- year Update. Journal of Education for Business 73(4) 202-205. 2. Weatherton, Y. P., Chen, V. C. P., Mattingly, S., Rogers, K. J., & Sattler, M. L. (2012). Sustainable engineering internships: Creation and assessment. Paper presented at the ASEE Annual Conference and Exposition, Conference Proceedings 3. Lee, C., & Chao, C. 2013. Intention to “Leave” or “Stay” – The Role of Internship Organization in the Improvement of Hospitality Students’ Industry Employment Intentions. Asia Pacific
. Theseresults attest to the individual success of the students as well as to the success of the program.IntroductionA comprehensive program has been developed at the University of South Alabama to addressissues associated with the transfer process. This student success initiative, USA-LINK, is anNSF-funded S-STEM program that stimulates enrollment, enhances retention in engineeringprograms at the university, and increases the technical workforce. Important lessons havebeen learned during the early stages of the program.Transfer students are selected for USA-LINK on the basis of academic ability, motivation forstudying engineering, and demonstrated financial need: Academic potential or ability indicated by a combination of GPA and completion of
supported by the National Science Foundation under awardnumber DUE - 1317238 and is supported in part by funds given to the National ScienceFoundation by the Intel Foundation and the GE Foundation. Any opinions, findings, andconclusions or recommendations expressed in this material are those of the author(s) and do not Page 24.736.5necessarily reflect the views of the National Science Foundation.References 1. American Society for Engineering Education. 2012. Going the Distance: Best Practices and Strategies for Retaining Engineering. Engineering Technology, and Computing Students. http://www.asee.org/retention- project 2
efficient.Faculty members acknowledge the ease of use and effectives of the new tool. As a result, thenew tool was adopted and replaced the old tools of assessment. This tool played a critical role inhelping creating a system of continuous improvement of course outcomes.Bibliography1. Accreditation Board for Engineering and Technology (ABET). (2006). 2007-2008 Criteria for Accrediting Engineering Programs. Retrieved January 5, 2007 from http://www.abet.org/forms.shtml2. S. Ashur, Civil Engineering Assessment Plan, Department of Engineering, Indiana University-Purdue University Fort Wayne, December 2008.3. S. Ashur, Civil Engineering Program Assessment Report: Spring 2010 Semester, Department of Engineering, Indiana University-Purdue
other words, we may see the society in which itoperates.Bibliography1. Schaffer, S. (1995.) Accurate measurement is an English science. In M.N. Wise (Ed.), The Values of precision(pp. 135-172). Princeton, NJ: Princeton University Press.2. Slaton, A. (2001). Reinforced concrete and the modernization of American building, 1900-1930. Baltimore:Johns Hopkins University Press.3. Gooday, G. J.N. (1995). "The Morals of energy metering: Constructing and deconstructing the precision of theVictorian electrical engineer's ammeter." In M. N. Wise (Ed.), The Values of precision (pp. 239-282). Princeton,NJ: Princeton University Press.4. Tonso, K.L. (1996). The impact of cultural norms on women. Journal of Engineering Education, 85, 3: 217–225.5. Cech, E. A
Course Using a Synchronous and Hybrid E-Learning Approach.”ASEE Annual Conference 2009. AC 2009-2216.3. Ozelkan, E. and A Galambosi. “Assessing Engineering Management Students’ Perception of On-line Learning.”ASEE Annual Conference 2009. AC 2009-1142.4. Crofton, J., Rogers, J., Pugh, C., and K. Evans. “The Use of Elluminate Distance-Learning Software inEngineering Education.” ASEE Annual Conference 2007. AC 2007-350.5. Shea, P., Li, C. S., and A. Pickett. “A Study of the Teaching Presence and Student Sense of Learning Communityin Fully Online and Web-enhanced College Courses.” Internet and Higher Education. Volume 6, 2003, 109-124.6. Ozan, E., Tabrizi, M., Wuensch, K., Aziz, S., and M. Kishore. “Learning Effectiveness as a Function of
and Jim Sajewski for their assistance, andthe students from MEEN 360.AuthorsDr. Richard B. Griffin has been at Texas A&M University for 27 years. He has taught a varietyof materials related courses. His research interests are corrosion and engineering education. Hehas participated in the National Educators Workshop for more than a decade.Dr. Terry S. Creasy has been at Texas A&M University for four years. He teaches materialsrelated courses in materials science. His research interests are in equal channel angular extrusionof short fiber/thermoplastic composites and shape changing polymer matrix composites.References1 Griffin, Richard, Terry Creasy, and Jeremy Weinstein, “Laboratory Activity Using Rapid Prototyping and Casting
1 1 1 1Figure.4. Truth table for the automatic gauging station (DC: DON’T CARE)Having three inputs, there are eight scenarios (outputs) or eight possible input sets. When thesystem is functioning properly only the four described conditions will occur. Rest is deemedas DON’T CARE’s and represents unexpected conditions which will most likely not tooccur. 0’s could be assigned as initial values to these conditions. Applying Sum-of-Productsmethod to the truth table, the Boolean expression R = Gx N xP + GxNxP is obtained, but notsimplified. The next step is to justify this model’s adherence to the gauging station’s controllogic or truth table in LabView. Figure.5 is the front panel of the LabView model indicatingthree push