Conference. San Antonio, TX. June 10-13, 2012.2. Hein, G., A. Kemppainen, S. Amato-Henderson, J. Keith, and M. Roberts. “Who Creates and Develops First- Year Engineering Design Activities?” Proceedings of the 2012 ASEE Conference. Louisville, KY. June 20-23, 2010.3. Kemppainen, A., N. Jeason, and G. Hein. “Modifying a Pumping System in a First-Year Engineering Design Project” Proceedings of the 2010 ASEE EDGD 65th Mid-year Conference. Houghton, MI. October 3-6, 2010.4. “Engineering Pathway” http://www.engineeringpathway.com/engpath/ep/Home. Accessed December 18, 2012.5. “MERLOT: Multimedia Educational Resource for Learning and Online Teaching” http://www.merlot.org/merlot/index.htm. Accessed December 18, 2012.6
tool answered the same setof questions regarding that particular tool. The language used in the questions is informal to tryto convey the experience of the student or faculty rather than a formal engineering evaluation ofthe tool. The questions are the following: Make and Model What were your original debugging requirements? What big piece of lab equipment it substitutes? How did you find about it? How have been using it? (look above in introduction) Price? Is it worth it? Would you recommend it to other students? Would you recommend it as a substitute/complement for (a) particular lab piece(s) of equipment? Cool things about it? Any other features not available at university's available
-domain tasks in theprocess of solving-problem, indicating in step 8 “Take pride in your solution,” and step 9“Prevent future occurrences of this problem.” Page 23.1261.14References 1. Axton, T. R., Doverspike, D., Park, S. R., & Barrett, G. V. (1997). A model of the information-processing and cognitive ability requirements for mechanical troubleshooting. Int. J. Cogn. Ergon. 1(3): 245–266. 2. Brown, J. S., Burton, R. R., Bell, A. G. (1975). SOPHIE: A step toward creating a reactive learning environment. International Journal of Man-Machine Studies 7(5): 675–696. 3. Career Guidance and Students Welfare
, S., Kuh, G. D. & Gayles, J. G. Engaging Undergraduate Students in Research Activities: Are Research Universities Doing a Better Job? Innovative Higher Education 32, 167-177, doi:10.1007/s10755-007-9043- y (2007).2 Kinkead, J. Learning Through Inquiry: An Overview of Undergraduate Research. New Directions for Teaching and Learning 2003, 5-18, doi:10.1002/tl.85 (2003).3 University, B. C. o. E. U. i. t. R. Reinventing undergraduate education: a blueprint for America’s research Page 23.626.11 universities., (State University of New York, Stony Brook, 1998).4 Hunter, A.-B., Laursen, S. L
mance. Figu ure 10: A flow wchart for a laboratory eexperiment llinking pagee.Figure 100 shows a floowchart for this t feature, while Figurre 11 shows the front endd of thisapplicatio on. As it is now, n there are a ten experriments availlable for possting for the students. W Withthe drop down menu, one can cho oose which experiment((s) can be poosted and theen click on thhesubmit buutton
1 Polanyi, M. (1966). The Tacit Dimension. Garden City, NY: Doubleday.2 Marshall, J., Shtein, M. and Daubmann, K. (2011). SmartSurfaces: a Multidisciplinary, Hands-on, Think-tank.Washington, DC: ACSA Press. Proceedings of the Association of Collegiate Schools of Architecture 2011 TeachersSeminar: Performative Practices: Architecture and Engineering in the Twenty-First Century, pp. 34-42.3 Gibbons, M., Limoges, C., Nowotny, H., Schwartzman, S., Scott, P. and Trow, M. (1994). The New Production ofKnowledge. The Dynamics of Science and Research in Contemporary Societies. London: Sage Publications Ltd. pp.1.4 Gibbons, M., Limoges, C., Nowotny, H., Schwartzman, S., Scott, P. and Trow, M. (1994). The New Production ofKnowledge
Pennsylvania in May 2012. Currently, his research interests consist of higher education curricula, both with universities and medical schools.Dr. Ali Sanati-Mehrizy Dr. Ali Sanati-Mehrizy is a graduate of the Milton S. Hershey Pennsylvania State University College of Medicine. He completed his undergraduate studies in Biology from the University of Utah. In July 2013, he will begin a Pediatrics residency at the UMDNJ-Newark University Hospital. His research interests involve pediatric hematology and oncology as well as higher education curricula, both with universities and medical schools.Dr. Reza Sanati-Mehrizy, Utah Valley University REZA SANATI MEHRIZY is a professor of Computing Sciences Department at Utah Valley
., & Leary, R. (1995). Letting girls speak out about science. Journal of Research in Science Teaching,32(1), 3-27.6. Catsambis, S. (1995). Gender, race, ethnicity, and science education in the middle grades. Journal of Research inScience Teaching, 32(3), 243-257.7. Britner, S. L., & Pajares, F. (2001). Self-efficacy beliefs, motivation, race, and gender in middle school science.Journal of Women and Minorities in Science and Engineering, 7(4), 269-283.8. Clewell, B. C. (2002). Breaking the barriers: the critical middle school years. In The Jossey-Bass Reader onGender in Education (pp. 301-313). San Francisco, CA: Jossey-Bass.9. Britner, S., & Pajares, F. (2006). Sources of science self-efficacy beliefs of middle school students
. Page 23.459.12Figure 4: A senior project peer feedback form Page 23.459.13Page 23.459.14 Figure 5: A senior project oral presentation scoring rubric References:1. Bai, T., Zhu, J., Varma, V., “Characteristics of capstone design projects at universities in US and China: An analysis”, ASEE Annual Conference & Exposition (ASEE 2007), AC 2007-17552. Dutson, A., Todd, R., Magleby, S., Sorensen, C., “A review of literature on teaching engineering design through project-oriented capstone courses,” J. of Engineering Education, Jan. 1997, pp. 17
cognitive-developmental inquiry. American Psychologist, 34(10): 906–911.6. Schraw, G., and Dennison, R. S. 1994. Assessing metacognitive awareness. Contemporary Educational Psychology, 19: 460-475.7. Stewart, P. W., Cooper. S. S., and Moulding, L. R. 2007. Metacognitive development in professional educators. The Researcher, 21(1): 32-40.8. Gassner, L. 2009. Developing metacognitive awareness: a modified model of a PBL-tutorial. Thesis for the Bachelor of Odontology in Oral Health. Malmö University. Sweden.9. Jonassen, D. H. 2010. Assembling and Analyzing the Building Blocks of Problem-Based Learning Environments, in Handbook of Improving Performance in the Workplace, Volume One: Instructional Design and
: Hopkins and UCSD get $30 Million Total”, The Whitaker Founda- tion, Biomedical Engineering News, October 14, 1998. 2 U.S. Department of Labor Statistics, http://www.bls.gov/ May 8, 2011. 3 Dean J, Schechter AN. “Sickle-cell anemia: molecular and cellular bases of therapeutic approaches,” New England Journal of Medicine. 1978;299:752-63. 4 Horne M. “Sickle cell anemia as a rheological disease.” The American Journal of Medicine. 1981;70:288-98. 5 Wickramasinghe S, Kahr CM, Han B. “Mass transfer in blood oxygenators using blood analogue fluids,” Biotechnology Progress. 2002;18:867-73. 6 Truskey G, Yuan F, Katz DF. Transport Phenomena in Biological Systems. Upper Saddle River, STATE: Pearson Prentice Hall; 2009. 7 Ballas S, Mohandas N
– 23, 2004.5. Steif, P. S., and Dollár, A., “Reinventing The Teaching Of Statics,” International Journal of Engineering Education, Vol. 21, No. 4, pp 723-729, 2005. Page 23.1014.106. Newcomer, J. L., “Many Problems, One Solution Method: Teaching Statics without `Special Cases’”, in Proceedings of the 2006 Frontiers in Education Conference, San Diego, CA, October 28 – 31, 2006.7. Dollár, A., and Steif, P. S., “Enhancing Traditional Classroom Instruction with Web-based Statics Course,” in Proceedings of the 2007 Frontiers in Education Conference , Milwaukee, WI, October 10 – 13, 2007.8. Yang, E., and Withiam, B
in the late 1980’s for the purpose of creating and interactivelyexploring graphical representations of concepts. Many experimental studies designed tosubstantiate the educational effectiveness of such visualization technology [2]. In this paper wediscuss how Visualization can help students in Math and Computer Science by giving 3examples from each department.A. Computer ScienceMotivationKorhonen and Malmi [3] describe a visualization system that presents novice programmers withgraphical representations of algorithms which requires them to manipulate these representations Proceedings of the Spring 2013 Mid-Atlantic Section Conference of the American Society of Engineering
valve performed opened as expected with satisfactoryresults.Data Acquisition Board (DAQ):The NI USB-6211 DAQ was used with the LabVIEW™ software. This DAQ offers 16 analoginputs; 250 kS/s single-channel sampling rate; two analog outputs; four digital input lines; four Page 23.528.5digital output lines; four programmable input ranges (±0.2 to ±10 V) per channel; digitaltriggering; and two counter/timers10. Figure 4 shows a table of the connections. Figure 4. DAQ IntegrationWhen testing the DAQ with the ignition mechanism, the SignalExpress icon in LabVIEW™ wasemployed to automatically read the DAQ Board and
of the comments student submitted are provided below.“I really liked being able to see the video lectures. Sometimes I need to see things more thanonce.”“I have tried to make the video lecture work but thus far I feel it has been a hindrance to mylearning compared to what I get out of the normal (traditional) lectures on Wednesdays andFridays.”“The hybrid video lectures were in no way a substitute for live lectures.”The table below shows the mean average of each of the class assignments with equal weight aswell as the mean of the means. The final grade is based upon this score. In general, an A isassigned to averages in the 90’s, a B to 80’s, a C to 70’s, and a D to 60’s. Averages below 60receive an F and do not pass the course
, Math, and Engineering Majors,” Journal College Student Retention, Vol. 5, No. 1, 2003, pp. 37–52.5. S. Brainard, S. Laurich-Mcintyre, and L. Carlin. “Retaining female and undergraduate students in engineering and science: 1995 annual report to the Alfred P. Sloan Foundation,” Journal of Women and Minorities in Science and Engineering, Vol. 2, No. 4, 1995, pp. 255-267.6. D. Farver and C. Gattis. (2006). “Development and implementation of a peer mentoring program for women in engineering,” Proc. of ASEE Annual Conf. & Expo., June 2006.7. M. Cavalli, L. Stanlake, and S. Tolbert, “Investigation of retention and perceptions among freshman engineering student”, Proc. of the North Midwest American Society for
cart. It should be pointed out that the high current level golf cart drivesystem is still under implementation with proposed completion in June 2013. So the projectspresented in this paper are all implemented with the lab-size emulated golf-cart drive system asshown in Figure 2. Figure 4 offline simulation model in Simulink Table 2: System parameters Motor Parameter Value Electromotive constant k E 0.0772 V/rad/s Electromagnetic torque constant k T 0.067 Nm/A Armature resistance Ra 0.7454
suggests a mechanism design to achieve higher deflection. The paper will discuss thefirst two models. In conclusion, the paper points out how engineering education could benefitfrom exposure and participation in such a design process even though students were not involvedin this study originally.IntroductionThermoelectric generators convert heat to electricity. Current geometry and materials used indesigns shown in figures 1 and 2 result to rigid devices. The geometry ensures no moving partswhile the materials provide a high figure of merit (ZT). ZT=S2σ/k, where k is thermalconductivity, σ is the electrical conductivity, and S is the Seebeck coefficient. The figure ofmerit, ZT, is dimensionless and is formed by multiplying Z with the average
ofoperating conditions for the heater and temperature control experiments but also allows for aninteresting experimental study of the 1st and 2nd laws of thermodynamics for a flow system.Table 2 shows example data and results that demonstrate that energy is conserved and the 2nd lawis not violated in this novel device. H and S values were evaluated assuming ideal gas withtemperature dependent heat capacity. Page 23.126.8Figure 6. Example temperature readings with vortex tube in operation.Table 2. Example vortex tube data and results. Inlet Cold stream Warm stream Total Air flow mol/s 0.142
theimportant biological information is contained in the small fluctuating voltages associated withsynaptic events rather than absolute potential distance from ground. To allow sufficientamplification to see these fluctuating potentials without magnifying the absolute potentials onwhich they ride, the logical choice is to use a low-frequency filter to eliminate the direct currentpotentials. With low frequency filters, one can select Low Frequency Filter (LFF) cutofffrequencies of 0.1, 0.3, 1, 3, or 10 Hz, corresponding to time constants of 1.6, 5.3, 0.16, 0.05, or0.016 second. Even with modern digital equipment, the same LFF values work well withstandard scalp EEG frequencies. The most common setting is 1 Hz (τ = 0.16 s), which nicelypreserves most low
what happened,identifying the critical decision(s), and probing for details to understand why and how theparticipant selected the particular course of action7. The semi-structured nature of the protocolallows the interviewer to pursue additional details regarding the case as needed. In this study, theCDM component of the interview was embedded within a set of more generalized questionsdesigned to provide a more comprehensive picture of each participant’s approach to the capstonedesign course. This approach thus elicited both general and concrete descriptions of participants’capstone courses and their approach to teaching. It incorporated sequencing of the questions toprovide context and elicit recall of memories associated within the context 5
students and teachers. In A. Kelly & R. Lesh (Eds.), Handbook of research design in mathematics and science education. Mahwah, NJ: Lawrence Erlbaum, 2000. [2] Machi, E., Improving U.S. Competitiveness with K-12 STEM Education and Training, Heritage Special Report, SR-57, Heritage Foundation, 2009. [3] Riojas, M., Lysecky, S., & Rozenblit, J., Educational Technologies for Precollege Engineering Education. IEEE transactions on learning technologies, 5 (1), 20-37, 2012. [4] American Society for Quality, Engineering Image Problem Could Fuel Shortage, ASQ Survey: Career Not on Radar for Kids or Parents, Jan. 2009. [5] Douglas, J., Iversen, E., and Kalyandurg, C., “Engineering in the K-12 Classroom
interview technique has the potential to become a useful tool for workingwith very young children, especially now that engineering education is advancingresearch with younger participants. The puppet methodology allows a child to feelcomfortable in an interview, allowing for more detailed answers, with a bit of addedeffort. However, more empirical evidence is needed to ascertain the usefulness of thismethodology.AcknowledgementWe would like to thank the Theater Department at the Science Museum of Minnesota fortheir help and guidance.This material is based upon work supported by the National Science Foundation underGrant No. (HRD-1136253). Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s
F denote a future experiment, whose outcomes follow a Poisson distribution Po(tλ), andE denote an informative experiment, whose outcomes follow Po(sλ). Let Y be the randomvariable describing the number of occurrences of some phenomenon from experiment F duringthe future time interval with known length t, and X be the random variable describing thenumber of occurrences of some phenomenon from the informative experiment E during thegiven time interval s. Both random phenomena are considered independent and with the sameunknown rate of occurrences λ. We will construct a function (u(X) in frequentist approach, ν*(X) in Bayesian) that takes onlyinteger values and that will serve as an upper bound for the values of the random variable
11 cases, or 82%) employed a One-Shot Case Study design in which only a single group of students were involved (that is with no comparison group).9) The data collection methods used in the 11 studies included questionnaires (100%, n = 11), content analysis of students’ comments (36%), and scores of performance tests (quizzes) (21%).AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.DUE 1122654.Bibliography[1] Michau F., Gentil S., & Barrault M., 2001, “Expected Benefits of Web-Based Learning for Engineering Education: Examples in Control Engineering,” European Journal of Engineering Education, 26 (2), pp. 151- 168.[2] Cornwell, P. J
. For [this] class, um, I kind of felt like I didn’t want to do that, I didn’t want…them to just be sitting back and listening to me talk”S/he went on to describe the benefit of attending the ASEE Summer School, and specificallyher/his familiarity with and motivation to use the Concept Warehouse, “I was aware of it beforeand kind of played around with it, but uh really tried to use it a little more this semester.” Someparticipants simply described the Concept Warehouse as something that “seemed like a greatidea.” In other cases, participants cited previous experience with pedagogy as a contributingfactor to their implantation of the Concept Warehouse, such as the following statement from oneparticipant, “I was already familiar with the
SURF,for giving access to the data for this study.Bibliography1. Bauer, K. W., & Bennett, J. S. (2003). Alumni perceptions used to assess undergraduate research experience. The Journal of Higher Education, 74(2), 210-230.2. Hunter, A. B., Laursen, S. L., & Seymour, E. (2006). Becoming a scientist: The role of undergraduate research in students' cognitive, personal, and professional development. Science Education, 91(1), 36-74.3. Lopatto, D. (2004). Survey of undergraduate research experiences (SURE): First findings. Cell Biology Education, 3(4), 270-277.4. Lopatto, D. (2007). Undergraduate research experiences support science career decisions and active learning. CBE-Life Sciences Education, 6(4), 297
effectivein higher level engineering classes having open ended problems (i.e. design courses) References[1] F. E. Contreras, L. E. Malcom, &, and E. M. Bensimon, Hispanic Serving Institutions: Closeted identity and the production of equitable outcomes for Latino/a students. NY: SUNY Press., 2008.[2] NSF, Freshman intentions to major in S&E fields [Online]. Available: http://www.nsf.gov/statistics/wmpd/tables.cfm[3] N. Warter-Perez, J. Dong, Eun-Young Kang, H. Guo, M. Castillo, A. Abramyan , et al., "Strengthening the K-20 Engineering Pipeline for Underrepresented Minorities," presented at the ASEE Annual Conference and Exposition, Louisville, KY, 2010.[4] L
students must beequipped to deal with these uncertaintiesGorka, Miller, and Howe4 presented the lessons learned from an industry sponsored capstone projectsuch as maintaining industry confidentiality, encouraging active participation from sponsors, and usingcompany‟s back-stories to motivate students. They also suggested that students might think of thingsoverlooked by faculty mentors and industry sponsors. In addition, they emphasized that faculty andstudents must be prepared to deal with unexpected incidents and make appropriate adjustments to ensure Page 23.742.3the success of the projects.Deviating from the common practice of reporting