flow rates of gases, e.g. air. As a result, wepurchased inexpensive turbine anemometers, designed and marketed to measure windspeeds. We found rotary vane anemometers with a precision of 0.1 m/s for a cost of 30dollars. However, obtaining accurate air velocity measurements with these rotary vaneanemometers requires a tight fit between the anemometer turbine shroud and theexperiment’s outlet, and a careful accounting of cross-sectional flow area through theanemometer.To measure pressure in all experiments, liquid (water) manometers were molded into theflow hardware. In this way, the pressure drop along the pipe flow experiment and thepressure drop and recovery through the Venturi nozzle are easily visualized as waterheights in liquid columns
measurement, intellectual achievements in mechatronics and contributions to product design. He has five Patents for inventions that involve interdisciplinary areas of mechanical engineering, design and computer science. Dr. Shetty has led several successful multi insti- tutional engineering projects. In partnership with Albert Einstein College, he invented the mechatronics process for supporting patients with ambulatory systems for rehabilitation. Major honors received by Pro- fessor Shetty include the James Frances Bent Award for Creativity, the Edward S. Roth National Award for Manufacturing from the Society of Manufacturing Engineers, the American Society of Mechanical Engineer Faculty Award, and the Society of
Apr 2, 2014).(2) Purdue University. Data Digest 2013 - 2014 http://www.purdue.edu/datadigest/Students/studrilldowns (accessed May 9, 2014).(3) UIUC. IUIC Student Enrollment http://www.dmi.illinois.edu/stuenr/ (accessed Jan 1, 2014).(4) Institute of International Education. Open Doors Report 2013 http://www.iie.org/Who-We-Are/News-and- Events/Press-Center/Press-releases/2013/2013-11-11-Open-Doors-Data.(5) Altbach, P. G.; Knight, J. J. Stud. Int. Educ. 2007, 11, 290.(6) Wang, Y. Young Chinese Students ’ Teamwork Experiences In A UK Business School, PhD Thesis. University of Westminster, 2010.(7) Nassim, S. Z. The World is Knocking on our Doors : International Students and Support Services Programs
Acknowledgements: This material is based upon work supported through a grant fromthe T. Denny Sanford School of Social and Family Dynamics and in part by the NationalScience Foundation (NSF) and the Department of Energy (DOE) under NSF CA No.EEC-1041895. Any opinions, findings and conclusions or recommendations expressed inthis material are those of the author(s) and do not necessarily reflect those of ASU, TheSanford School, NSF or DOE.References[1] Geisinger, B., & Raman, D. (2013). Why they leave: Understanding student attrition from engineering majors. International Journal of Engineering Education, 29(4), 914-925.[2] Nelson, K. G., Husman, J., Brem, S. K., Honsberg, C., & Bowden, S. (2011). Optimizing educational approaches
percentage value for each of his or her MBTI attributes (e.g., 35% E and 65% I,10% S and 90% N, etc.), and the distance between each student’s personality types iscalculated using these percentages: Distance = ( f 1i − f 1i+1 )2 + ( f 2i − f 2i+1 )2 + ( f 3i − f 3i+1 )2 + ( f 4 i − f 4 i+1 )2 (10)where f1, f2, f3, and f4 represent the percentage values for each student’s four MBTIfunctions. This value is multiplied by the PersonToProject i, j,k matrix, a linear binary model thatrepresents the assignment of each student to each project in a pairwise (student-to-student)fashion. The method of converting what would have been a polynomial binary model to alinear binary model was developed by Kuo et al. 15 specifically for modeling
. Methods Student(s) Clicker ABCD Internet / Proposed raise voting App based method: LaserPerformance Criteria hand(s) cards pointersEasy and quick hardware/ x x xsoftware set-upLow cost of setup and use x x xLow usage burden for x x xstudentsLow/no learning curve for x x xadoption by facultyZero potential for technical x
as compared to first-year students. The lower expectation of seniorstudents suggest that engineering instructors should consider ways to engage upper level studentsin creative behaviors. Future research includes a longitudinal study to examine how creative self-concept changes in progression through the engineering curriculum.Introduction The concept of creativity has been an important research topic since the 1950’s and1960’s.1 Educators and scholars with diverse domains of expertise have studied creativity, theskills associated with creativity, and techniques to increase creativity in their respective fields.2-6However, even in the field of psychology, where the most research pertaining to the topic hasbeen produced, researchers
, underrepresented minoritiescomprised 33.2 % of the U.S. college age population, 26.2 % of undergraduate enrollment, and17.7 % of those earning science and engineering (S&E) bachelor’s degrees. In graduate school,underrepresented minorities comprise 17.7 percent of overall enrollment but are awarded just14.6 % of S&E master’s and 5.4 % of S&E doctorate degrees, with a progressive loss ofrepresentation as one proceeds up the academic ladder [5].Researchers offer many explanations for the persistent achievement gaps while recognizing thatthere are many interrelated factors. They agree that family and community differences, schoolcontext, low expectations, and lack of exposure to role models, information about careeropportunities, and advanced
outcome; (c) We tested and evaluated the possibility of hardware and software secure system co- design teaching and research integration; (d) Using the experience gained, lessons learnt for developing a respective multi-disciplinary laboratory for both research and teaching of hardware/software security (this is partly done and will be a future-work as step-forward for hands-on experiments); and (e) Inter- and intra-university research collaborations were initiated and will be pursued to ensure delivering an expanded set of outcomes for the integration.References[1] S. Ravi, P. C. Kocher, R. B. Lee, G. McGraw, and A. Raghunathan, “Security as a new dimension in embeddedsystem design,” in Proc. Design Automation
literature on effectiveness of information techonology in education.J. Eng. Educ. 89, 33–37 (2000).7. Podolefsky, N. S., Perkins, K. K. & Adams, W. K. Factors promoting engaged exploration with computersimulations. Phys. Rev. Spec. Top. Phys. Educ. Res. 6, 020117 (2010).8. Rieber, L. P., Tzeng, S. C. & Tribble, K. Discovery learning, representation, and explanation within a computer-based simulation: finding the right mix. Learn. Instr. 14, 307–323 (2004).9. Bodemer, D., Ploetzner, R., Bruchmuller, K. & Hacker, S. Supporting learning with interactive multimediathrough active integration of representations. Instr. Sci. 33, 73–95 (2005
Energy Sources: Watt Committee: report number 22 (No. 22). CRC Press. Page 26.1484.6Rosillo-Calle, F. (2012). The biomass assessment handbook. Earthscan.Huber, G. W., Iborra, S., & Corma, A. (2006). Synthesis of transportation fuels from biomass: chemistry, catalysts,and engineering. Chemical reviews,106(9), 4044-4098.Howes, R., & Fainberg, A. (1991). Energy sourcebook: a guide to technology, resources, and policy.Rothman, M. P. (2000). Measuring and apportioning rents from hydroelectric power developments (Vol. 419).World Bank Publications.Outlook, A. E. (2010). Energy Information Administration. Department of Energy.Watson, J
intelligent tutoring systems and peer collaboration. In B. P. Woolf, E. Aimeur, R. Nkambou, & S. Lajoie (Eds.), Intelligent tutoring systems (pp. 636–645). Amsterdam, The Netherlands: IOS.[6] Menekse, M., Stump, G., Krause, S., & Chi, M. T. H. (2013). Differentiated overt learning activities for effective instruction in engineering classrooms. Journal of Engineering Education, 102, 346–374.[7] Freeman, S., Eddy, S. L., McDonough, M., Smith, M. K., Okoroafor, N., Jordt, H., & Wenderoth, M. P. (2014). Active learning increases student performance in science, engineering, and mathematics. Proceedings of the National Academy of Sciences, 111(23), 8410-8415.[8] Hora, M. T., & Ferrare, J. J. (2013
to write this off as an historical relic, statements such as these have gone un-critiqued in the last 20 years. It should also be noted that another kind of study exists: thosethat compare and contrast male and female department heads or examine women in academicleadership positions12,64,68-71. While presenting another important approach to studyingrelationships between gender and department heads, such studies are not central to theanalysis at hand.Fourth, a discourse of fairness permeates the literature. As the following quotationsdemonstrate, many publications emphasize that the head has an obligation to act ‘fairly’ andthat (s)he will be most successful if (s)he makes ‘fair’ decisions. Several of the numerousexamples include
bothcompletion and accuracy, and partial credit was awarded for both. For the homework, since alarger number of problems were submitted, only a selection of problems that were submittedwere assessed for each assignment. Table 1: Description of courses included in the study ID Assessment Term Class Period Instructor(s) N* H1 Homework Fall 2013 TR 8:00-10:45am A&B 37 H2 Homework Spring 2014 TR 8:00-10:45am A&C 32 Q1 Quizzes Fall 2014 WMF 8:00-9:50am A&C 35 Q2 Quizzes Fall 2014 MWF 11:00-12:50pm B 33*N is the number
can be used for actual programming, as well as forexecuting, debugging, and visualizing. Thus, our specific aim was two-fold: first, help learnprogramming/problem solving and, second, facilitate the learning of a textual programminglanguage – the C language. The actual hypothesis tested in the present study was X. The resultsof the experiment that was designed to test our expectation fully support our hypothesis. In whatfollows, we will briefly introduce the tool used and proceed with the discussion of theexperiment and the results.Related WorkThere are many different approaches to facilitating the acquisition of programming language(s).For instance, in order to avoid the complexity of full-fledged programming languages, one canuse simplified
other 21 Century Skills. • It meets common core and next generation science standards.More information and resources for implementation can be found at novelengineering.org. Page 26.1097.2 This project is funded by the National Science Foundation DRK-12 program, grant # DRL-1020243. Any opinion, findings,conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
Engineering Teacher, pp. 30-35, May 2014.[2] International Technology Education Association, “Standards for Technological Literacy: Content for the Study of Technology,” 3rd ed., 2007. [Online]. Available: http://www.iteea.org/TAA/PDFs/xstnd.pdf. [Accessed: 01- Apr-2015].[3] D. Sianez, M. Fugere, and C. Lennon, “Technology and Engineering Education Students’ Perceptions of Hands-On and Hands-Off Activities,” Research in Science & Technological Education, vol. 28, no. 3, pp. 291- 299, Nov. 2010.[4] M. Milojkovic, M. Milovanovic, D. Mitic, S. Peric, M. Spasic, and S. Nikolic, “Laboratory CNC Machine for Education of Students on Control Systems Engineering,” Facta Universitatis, vol. 13, no. 2, pp. 117-125, 2014.[5] D. Rijmenants
a refinement of strategiesthat experienced physics teachers have been teaching for decades and because it is optimized forthe types of problems traditionally found in physics textbooks. The prescriptions aim to steerstudents away from common novice approaches such as identifying the unknown and searchingfor an equation that contains it, or pattern matching based on superficial aspects of the physicalscenario.12, 15 Although details differ, the prescriptions generally consist of steps like these: 1. Using diagrams as needed, visualize and make sense of the physical situation conceptually/qualitatively. 2. Explicitly identity the relevant physics principles. 3. Using the insights from (1) and (2), write equation(s) that can be
was supported in part by NSF award 1431694, Optimizing Student Team SkillDevelopment using Evidence-Based Strategies.References1 Brutus, S., & Donia, M. B. (2010). Improving the effectiveness of students in groups with a centralized peer evaluation system. Academy of Management Learning & Education, 9, 652-662.2 Mayo, M., Kakarika, M. Pastor, J.C., & Brutus, S. (2012). Aligning or inflating your Leadership self-image? A longitudinal study of responses to peer feedback in MBA teams. Academy of Management Learning & Education, 11, 631-652.3 Brutus, S., & Donia, M. B., & Ronen, S. (2013). Can business students learn to evaluate better? Evidence from repeated exposure to a peer
Evidence-Based Strategies.References1 Brutus, S., & Donia, M. B. (2010). Improving the effectiveness of students in groups with a centralized peer evaluation system. Academy of Management Learning & Education, 9, 652-662.2 Mayo, M., Kakarika, M. Pastor, J.C., & Brutus, S. (2012). Aligning or inflating your Leadership self-image? A longitudinal study of responses to peer feedback in MBA teams. Academy of Management Learning & Education, 11, 631-652.3 Brutus, S., & Donia, M. B., & Ronen, S. (2013). Can business students learn to evaluate better? Evidence from repeated exposure to a peer evaluation system. Academy of Management Learning & Education, 12, 18-31.4 Ohland, M. W
of the longitudinal study. Once validated, the appropriate survey willbe administrated to students at least 4 times throughout their undergraduate career toanalyze engineering perception and how it changes over time.Reference1. Besterfield-Sacre, M. E., Atman, C. J., & Shuman, L. J. ([1996]). Pittsburgh freshman engineering attitudes survey University of Pittsburg.2. Davis, D. C., Trevisan, M., Brown, S., French, B., Davis, H., LeBeau, J. & Brooks, S. Pittsburgh freshman engineering attitudes survey (PFEAS). Retrieved from http://assess.tidee.org/instruments/details/953. Abou-Jaoude, G., & Najjar, M. (2011). Perception of Lebanese middle school students about engineering. Paper presented at the 2011 IEEE Global
Paper ID #12043Problem solving in a multidisciplinary environment: observations from anewly developed programLuciana C. El Debs, Purdue University Luciana Debs, is a Technology doctoral student and Graduate Research Assistant in the Department of Building Construction Management at Purdue Universitys College of Technology. She received her MS from the Technical Research Institute of Sao Paulo (IPT-SP), and her BSArc from the University of S˜ao Paulo (USP), both in Sao Paulo, Brazil. Prior to her current position she worked in design coordination in construction and real estate development companies in Brazil. Her research
culminated in an engineering design activity tied to curriculumcontent.During curriculum exchange copies of the tools will be available to teachers, and examples of teachercreated units using the templates will be shown. Teachers will be able to start to work through anduse the design templates to get a better feel for how they can be incorporated into lesson design.These tools are ideal for use in Lesson Study or Professional Learning Communities, or as part ofco/team teaching.Below is an example of a filled Frame: Page 26.434.2Page 26.434.31. University of Kansas Center for Teaching and Learning, http://www.ku-crl.org.2. Ellis, E. S., (1994
win” to demonstrate successful town-gown efforts. Finally, we are exploringmembership and workshop fee structures, but it is unclear that there is sufficient draw from therelatively small local communities to attain sustainability based on this revenue alone, or that itcan cover both personnel and supply costs.References[1] Schön, S., Ebner, M. and Kumar, S. (2014). The Maker Movement. Implications of new digital gadgets,fabrication tools and spaces for creative learning and teaching. eLearning Papers, n. 39 (July), 14 - 25. Availableon-line: www.openeducationeuropa.edu/en/elearning_papers.[2] Benton, C., Mullins, L., Shelley, K., and Dempsey, T. (2013). Makerspaces: Supporting an Entrepreneurial
, teaching/learning approach and assessment procedures.Key questions that we have pondered about are centered on what defines a chemical engineer inthis century, what are the current trends and how best to equip our graduates with competitiveskills both in the context of our country and internationally. Taking and innovator´s approach toour curricular intervention, we have tried to solve four simple questions 21:What orthodoxies can we challenge? Page 26.2.8 How can we best harness the current trends in the field, both in research and education?How can we take advantage of our available resources and strengths?What are the most important needs
factor that has remained constant over this period of time is students communicating their impression and belief that STEM majors are“hard”. Parents and society express the same impression.A recent New York Times article attributes some of this hardness to tough introductory math andscience classes. The article included the following quote from a student (with 800 Math SATand reading and writing scores in the 700’s) who switched from mechanical engineering topsychology during fall of their sophomore year: “I was trying to memorize equations, and engineering’s all about the application, which they really didn’t teach too well,” he says. “It was just like, Do these practice problems, then you’re on your own”.5Seymour and
comparative literature review.,” ACM Comput. Surv., vol. 38, no. 3 Article 7, 2006. [2] E. Lindsay and M. C. Good, “Effects of laboratory access modes upon learning outcomes,” Educ. IEEE Trans., vol. 48, no. 4, pp. 619–631, 2005.[3] J. E. Corter, J. V Nickerson, S. K. Esche, C. Chassapis, S. Im, and J. Ma, “Constructing reality: A study of remote, hands-on, and simulated laboratories,” ACM Trans. Comput. Interact., vol. 14, no. 2, p. 7, 2007.[4] B. Aktan, C. A. Bohus, L. A. Crowl, and M. H. Shor, “Distance learning applied to control engineering laboratories,” Educ. IEEE Trans., vol. 39, no. 3, pp. 320–326, 1996.[5] Labshare, “The
advanced education or career advancement. Many Morgan State University (MSU) graduate students come from economically disadvantaged families and have very limited financial support for their full-time graduate study. Some of them solely count on the scholarships provided by the school or have to take out student loans. Supported by National Science Foundation (NSF) Scholarships for Science, Technology, Engineering, and Mathematics (S-STEM), NASA research grants and other Federal research grants, many MSU engineering graduate students have been involved in applied research projects with NASA Goddard Space Flight Center, Army Research Laboratory, and the local industry. These projects include but