, American Society for Engineering Education”The data were first used to monitor daily assessment. SPC control charts were created andmonitored to determine if classroom instruction was “in-control”. The quality characteristicspreviously selected were monitored daily. An X-bar/S chart was created based on the samplesize and type of data. A control chart was created for each of the questions and monitored forany “out of control” points on the chart based on the Western Electric rules. A sample X-bar/Schart for question Q2.3 is displayed in Figure 5. Xbar-S Chart of Q2.3 9
, which he showed his Introduction to Engineering Fundamentals class. Thestudents, excited about simulating what the original NASA moonbuggy teamaccomplished in the 1960’s (and eager to do something outside of the everyday classlecture), agreed with their professor that this would be a great opportunity.Project responsibilitiesThe creation of a moonbuggy is a multi-dimensional task that allows the students tocomplete the cost analysis, design the product, fabricate almost everything from withinthe laboratory, and communicate with industry for advice. In MTSU’s case, if a specificpart cannot be created within the laboratory, the student may contact a particular industryto do it at their facility1. Although the students are responsible for more
. Page 24.437.7Bibliography1. Micceri T, Wajeeh E. The Influence of Geographical Location and Application to Multiple Institutions on Recruitment. BPA-IR technical report, USF, Tampa, FL. Available on the WWW (http://isis. fastmail. usf. edu/surveys/Studies/). 1998.2. Price IF, Matzdorf F, Smith L, Agahi H. The impact of facilities on student choice of university. Facilities. 2003;21(10):212-222.3. Rocca SJ, Washburn SG. Factors influencing college choice on high school and transfer matriculants into a college of agriculture. NACTA Journal. 2005;49(1):32-38.4. Briggs S. An exploratory study of the factors influencing undergraduate student choice: the case of higher education in Scotland. Studies in Higher
and other STEM majors. The research questions were: 1) Do teachers believe that they can influence their students’ choices of undergraduate major? 2) If teachers believe they can have such influence over their students what is/are the mechanism(s) of this influence? 3) To what extent do high school seniors intending to study engineering in college report that teachers’ instruction or advising influenced their choice of major?Method This research comprised two sample populations: 1) in-service teachers participating insummer professional development programs (including RET), and 2) high school seniors fromaround the country who planned on attending college within a year of graduation. During
support of thisproject (Award ID 1138235).References1. Mukhopadhyay, S.M. Nanoscale Multi-functional Materials: Science & Applications, Wiley, 2011.2. Roco, M.C. J. Nanopart. Res. 2011, 13, 427-445.3. Kim, J. Y.; Voznyy, O.; Zhitomirsky, D.; and Sargent,E.H. 25th Anniversary Article: Colloidal Quantum Dot Materials and Devices: A Quarter-Century of Advances, Adv. Mater. 2013, 25, 4986–50104. Gao, X.; Cui, Y.; Levenson, R.M.; Chung, L.W.K.; Nie, S. In vivo cancer targeting and imaging with semiconductor quantum dots, Nature Biotechnology. 2004, 22(8), 969-9765. Jones, A.; Verlinden, N.; Quimby, R. Optical properties of quantum dots: An undergraduate Physics Laboratory, http://www.wpi.edu/Pubs/E-project/Available/E-project-042607
andteaching practices, such as providing effective feedback for students; developing a teachingportfolio; and the academic job search. Throughout Spring 2014, we will continue to requestfeedback from students in order to refine our ongoing efforts to support students’ academic,personal and professional success.References 1. Longfield A, Romas J, Irwin JD. The Self-worth, Physical and Social Activities of Graduate Students: A Qualitative Study. Coll Stud J. 2006;40(2):282–92.2. Fogg P. Grad-School Blues. The Chronicle of Higher Education [Internet]. 2009 Feb 20 [cited 2013 Oct 17]; Available from: http://chronicle.com/article/Grad-School-Blues/295663. Patton S. Colleges Struggle to Respond to Graduate Students in Distress. The Chronicle
positive vertical direction is 5 points. If you pass one line more than once, no additional points are givenIdentify Ball If your robot can identify one blue ball to pass through 10 points. If your robot can identify 2 consecutive blue balls to pass through 20 points.Navigate Maze If your robot successfully navigates the maze – 20 pointsStop at Edge The style in which you robot stops at the edge is between 0-20 points. If your robot falls over the edge – s=0; if your robot stops “short” or has an appendage over the edge – s=0.5; if your robot stops at the edge – s=1 Style*s is the “stop at the edge” scoreTime You will be assigned a t value, based on the relative speed of
vertical,horizontal, or diagonal edges. Edge detection is a difficult task in noisy images, since both theedges and noise hold high- frequency content. Efforts to reduce the noise result in unclear anddistorted edges. Techniques used on noisy images are typically larger in scope; therefore, theycan gather enough data to discount localized noisy pixels. An example of edge detectionmethodology is given by the function:BW = Edge (I) ………………………. (1)This function takes a gray scale or a binary image I as its input, and returns a binary image BW Page 24.185.7of the same size as I, with 1's where the function finds edges in I and 0
facilitate the transferability of successfulpractices to other institutions that want to increase student’s spatial visualization skills.1. Carter, C.S., Larussa, M.A., and Bodner, G.M. (1987). A Study of Two Measures of SpatialAbility as Predictors of Success in Different Levels of General Chemistry. Journal of Researchin Science Teaching, 24(7), 645-657.2. Maloney, E.A., Waechter, S., Risko, E.F., and Fugelsand, J.A. (2012). Reducing the SexDifference in Math Anxiety: The Role of Spatial Processing Ability. Learning and IndividualDifferences. 22, 380-384.3. Sorby, S., Casey, B., Veurink, N., and Dulaney, A. (2012). The Role of Spatial Training inImproving Spatial and Calculus Performance in Engineering Students. Learning and IndividualDifferences
Managing Challenging Classroom Situations,” Currents in Teaching and Learning, vol. 1, no. 2, pp. 418, Spring 2009.7. D. McCabe, “Classroom Cheating Among Natural Science and Engineering Majors,” Science and Engineering Ethics, vol. 3, pp. 433445 , 1997.8. H. J. Passow, M. J. Mayhew, C. J. Finelli, T. S. Harding, and D. D. Carpenter, “Factors Influencing Engineering Students’ Decisions to Cheat by Type of Assessment,” Research in Higher Education, vol. 47, no. 6, pp. 643684, 2006. DOI: 10.1007/s111620069010y9. C. R. Nordstrom, L. K. Bartels, & J. Bucy, “Predicting and curbing classroom incivility in higher education,” College Student Journal, vol. 43, no. 1, pp. 7485, 2009.10. M. A. Kitzrow, “The
their future studies.References1. Courter, S. S., Millar, S. B. and Lyons, L. (1998), From the Students' Point of View: Experiences in a Freshman Engineering Design Course. Journal of Engineering Education, 87: 283–288. doi: 10.1002/j.2168- 9830.1998.tb00355.x2. Dym, C. L. (1994), Teaching Design to Freshmen: Style and Content. Journal of Engineering Education, 83: 303–310. doi: 10.1002/j.2168-9830.1994.tb00123.x3. Burton, J. D. and White, D. M. (1999), Selecting a Model for Freshman Engineering Design. Journal of Engineering Education, 88: 327–332. doi: 10.1002/j.2168-9830.1999.tb00454.x4. Dally, J. W. and Zhang, G. M. (1993), A Freshman Engineering Design Course. Journal of Engineering Education, 82: 83–91. doi: 10.1002/j.2168
Scholars in Engineering: Promoting Student Success through Cohort-Building and Industrial EngagementIntroductionThe National Science Foundation (NSF) Scholarships in Science, Technology, Engineering andMathematics (S-STEM) program provides grants to institutions of higher education to supportscholarships for academically well-prepared undergraduate students with demonstrated financialneed. The goal of the program is to contribute to the number of well-prepared scientists andengineers in the workforce by increasing the number of students with financial need who enterthe STEM workforce after completing a degree program in science or engineering1,2.In spring 2012, we received an S-STEM grant to establish the “CLEAR Scholars in Engineering
Paper ID #9264Credentialing MOOCs: A Case StudyMr. S. Cory Brozina, Virginia Tech Cory Brozina is a PhD student in the Engineering Education department at Virginia Tech. His research is in educational technology and data analysis.Dr. David B Knight, Virginia Tech Department of Engineering Education David Knight is an Assistant Professor in the Department of Engineering Education and affiliate faculty with the Higher Education Program at Virginia Tech. His research focuses on student learning outcomes in undergraduate engineering, interdisciplinary teaching and learning, organizational change in colleges and universities
m 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 xa am _0 _0 _0 _0 _0 _0 _0 _0 _0 _1 _1 _1 _1 _1 _1 _1 _1 _1 _1 E Ex ST S T ST ST ST ST S T ST ST ST ST S T ST ST ST ST S T ST ST st- e- Page 24.649.11 Po Pr Figure 10 – Main Effect Plot Illustrating the Effect of Students and
parameter sweep could be performed in any number of software packages, including Matlab or a PSPICE variant. What distinguishes Maple and MapleSim from these other programs is the ability to generate the underlying equations of the system. This is a critically important feature. MapleSim contains an “attach equation” option which populates a Maple worksheet with live interactive hooks to the MapleSim file. Three equations are created by the worksheet which describe the mathematical rules governing the system: ⎧ D _ Goff D _ off (t) ⎫ Vbatt − OutputVolt(t) − D _ s(t)⋅ ⎨ ⎬ − D _ Goff ⋅ D _VKnee = 0
i) solder (130 um, 1.01 mm).Images were acquired with a Zeiss EVO-50 scanning electron microscope. Page 23.258.10References: 1. Pelesko, J., Self Assembly: The Science of Things That Put Themselves Together, Chapman & Hall/CRC, 2007. 2. Eaton, P. and West, P., Atomic Force Microscopy, Oxford University Press, 2010. 3. Whitesides, G. and Grzybowski, B. “Self-Assembly at All Scales”, Science, 2002, 295, 2418- 2421. 4. Palmer, L. and Stupp, S. “Molecular Self-Assembly into One-Dimensional Nanostructures”, Accounts of Chemical Research, 2008, 41, 1674-1684. 5. Park, S.; Lim, J. H.; Chung, S. W.; Mirkin
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
anion exchange chromatography using a set ofcolorful proteins have been described. These educational materials will allow instructors tointroduce important biochemical engineering and physical biochemistry principles into thechemical engineering curriculum. The visual appeal and low cost of supplies will make thedemonstrations an effective teaching tool in core courses focused on separation processes. Thevariety of possible behavior will make the full-scale experiments a robust addition to unitoperations laboratories or biochemical engineering electives. Further developments will makethe modules available for dissemination to other universities.AcknowledgementThe authors thank Elizabeth N. DiPaolo, Richard S. Dominiak, and Amanda E. Rohs
company)Week two: Read entire book.Week three: Summarize the book in a single page (three paragraphs), which explain 1. What were the social and technical settings of the time ? 2. What was the particular technical challenge addressed, and why was it important ? 3. What was discovered/found, and how was it received by competitors, professionals (corporate management, etc), family, friends and society ?Week four: In nine-ten pages, respond to the following questions: 1. What technical challenge did s/he address? 2. Why did the investigator(s) undertake the task(s) of
ENTERPRISE ARCHITECTURE – BRIDGE THE GAP BETWEEN BUSINESS, IT AND UNIVERSITIES A. Sutharshan, S P Maj, D Veal Department of Computer Science, Edith Cowan University, Perth, Australia Email: anu.sutharshan@dli.wa.gov.au, s.maj@ecu.edu.auIntroductionAdvancing technologies, emergent software development approaches, and economicconditions influencing corporate budgets are creating new challenges for theApplication Services manager [4]. In one of the studies [10], Enterprise Architecture(EA) was ranked near the top of the list of issues considered important by the chiefinformation officers. Enterprise Architecture is a distinct and developing discipline inthe Information
impact in the Program Factors: • Content: The extent to which the program(s) successfully transferred information and skills to students. Variables include: teacher abilities, facilities conducive to learning, difficulty of the curriculum, etc. • Comfort: The extent to which the program provided students with a sense of awareness of, familiarity with, and comfort with college life (e.g., course material, peers, instructors, residential hall life, campus facilities). • Career: The extent to which respondents perceived the program(s) as having an impact on their career choice. • College: The effect of the program(s) on respondents’ decisions to attend college in general and, more
Session 2433 Hybrid Renewable Energy System Analysis for Off-Grid Great Lakes Residential Housing Robert S. Weissbach, Larry A. Kephart Penn State Erie, The Behrend CollegeAbstractRenewable energy has become an important area of research and development for bothenvironmental as well as economic reasons. At the academic level, it is possible to introducestudents to issues related to renewable energy. This paper discusses the effort two students putin, as part of a thesis, and an independent study, to develop an economically feasible, self-sufficient, renewable energy
Engineers Education Foundation,Dearborn, MI. 3 McClenahen, J. S. (2003, June). Manufacturing’s global future: Waking up to a new world, IndustryWeek. 252(6), 22-26. 4 McClenahen, J. S. & Panchak, P. (2003, July). Manufacturing’s global future: Unruly trade, IndustryWeek. 252(7), 48-52, 61. 5 McClenahen, J. S. (2003). 6 Weinstein, B., Lewis, J. & Bergeron, L. K. (2003, August 27). Impacts of international trade with China onIllinois manufacturers, Illinois Manufacturing Extension Center, Peoria, IL, 1-15. 7 Campbell, R. M. & Campbell, H. (2002, November). Supply chain management at Motorola Corporation,National Association of Industrial Technology
selling numerical methods textbooks are catalogs of techniques presentedgenerically (independent of any computational platform), followed by a bare-minimumseries of commands or computer code snippets that will implement the recipe justdescribed in a variety of different software packages or programming languages.Whether consciously or unconsciously, the text authors and course instructors aregrooming the students to be able to solve the types of problems one finds at the end of thechapter: small in scope, narrow in focus, again.The approach might be well suited for the 1960's and 1970's, when computing andprogramming became a core component of the undergraduate engineering curriculum,and when computing technology severely limited the size and
W om e n Ob s e r v a t io n s ( % o f t o t a l)observing 181 students (2165 observations), M ennearly 75 percent of the observations, shown 0. 2in Figure 1, were attributed to task functionswith an emphasis on initiating, followed by 0. 1an exchange of information. While only 25percent of the observations represented teamfunctions, emphasis was on compromising. 0. 0First-year men
users to attenuate audio signal components outside a specified frequencyrange. In particular, the peaking filter design introduces users to the concept of a band-pass filter. 1 + kqµ (z − z 1 ). ( z − z 2 ) H (z) = (4) pk 1 + kq (p − p 1 ). ( p − p 2 ) co s(Ω c ) + cos 2 (Ω c ) − k q2 µ 2
Session 2532 Outcome Assessment at the U. S. Military Academy Lisa A. Shay, Bryan S. Goda, Peter Hanlon, and John D. Hill Department of Electrical Engineering and Computer Science, U.S. Military Academy, West Point, NY 10996 {lisa.shay/bryan.goda/peter.hanlon/john.hill}@usma.eduAbstract - The United States Military Academy (USMA) recently had seven of its programsfavorably reviewed by the Engineering Accreditation Commission (EAC) and the ComputingAccreditation Commission (CAC) of the Accreditation Board for Engineering and Technology(ABET). The favorable comments of the
Carbon, the experiment is demonstrated better defined since acetic acid (C6H4O2)is a carbon-carbon bond. The theory of vitalism, like many other scientific theories, disappearedslowly under the weight of accumulated evidence rather than as a consequence of any onebrilliant and enlightening experiment. Structural theory, which developed in the 1860’s, startedthe second major period of growth in the organic chemistry field. The development of a detailedpicture, by using pure reasoning of both atomic organization and the shapes of molecules standsas a great milestone of the development of human intellect. At almost the same point in time,Kekule in Germany, and Couper of Scotland suggested that atoms in molecules are fusedtogether by bonds. Their
population as a whole. As noted in McWilliams et al. [4], such analysescan lead to changes in course structure which dramatically impact both student learning andretention.References1. Brockman, J.B., Fuja, T.E, Batill, S.M., “A Multidisciplinary Course Sequence for First-Year EngineeringStudents,” 2002 ASEE Annual Conference and Exposition, Montreal, Quebec, Canada, June 2002.2. Pieronek, C. , McWilliams, L. H., Silliman, S. E., “Initial Observations on Student Retention and CourseSatisfaction Based on First-Year Engineering Student Survey and Interviews,” 2003 ASEE Annual Conference andExposition, Nashville, Tennessee, June 2003.3. Silliman, S. E., McWilliams, L. H., “Observations on Benefits/Limitations of an Audience Response System,”2004 ASEE
Cross-institutional Study,” Proceedings of the American Society of Engineering Education in the Southeast, Gainesville, FL, April 2002, Session 2793.[4] Zhang, G., Thorndyke, B., Carter, R., Ohland, M., and Anderson, T. (2003) “A Comparison of Demographic Factors and Academic Performances Between Students Graduated in Engineering and Other Disciplines.” Proceedings of the American Society of Engineering Education, Nashville, Tennessee, June 2003.[5] Besterfield, M., Mareno, M., Shuman, L. J., & Atman, C. J. (1999). “Comparing Entering Freshman Engineers: Institutional Differences in Student Attitudes,” American Society of Engineering Education Conference Proceedings, Charlotte, NC, June 1999.[6] Donaldson, T. S. (1968