and curricular materials development in other disciplines.Acknowledgements This material is based upon work supported by the National Science FoundationEngineering Education Program under Grant No. 1055356. Any opinions, findings andconclusions or recommendations expressed in this material are those of the author and donot necessarily reflect the views of the National Science Foundation.Bibliography1. Nrc, ed. How People Learn: Brain, Mind, Experience, and School. ed. J. Bransford, et al. National Academy Press: Washington, D.C. xxiii, 319 p. (1999).2. S. Vosniadou, ed. International Handbook of Conceptual Change. Routledge: New York. (2008).3. B.K. Hofer and P.R. Pintrich, The development of epistemological theories
, computer, or similara. the application of circuit analysis and design, computer programming, associated modifiers in their titles.software, analog and digital electronics, and microcomputers, and engineeringstandards to the building, testing, operation, and maintenance of 1. Curriculumelectrical/electronic(s) systems. The structure of the curriculumb. the applications of physics or chemistry to electrical/electronic(s) circuits in a must provide both breadth andrigorous mathematical environment at or above the level of algebra and depth across the range oftrigonometry. engineering topics
assessment instruments.III. E XPERIMENTAL S TUDY D ESIGNBuilding on the related research and pedagogical underpinnings in Section II, we consider herethe design of the experimental study. The primary hypothesis of the research study is as follows:“There exists significant improvement in the engagement, student interest, and motivation forsoftware engineering content using an integrated approach of active and deign-based learningcompared to traditional teaching approaches.” Traditional approaches refer to a combinationof lectures, tutorials and lab sessions for a software engineering course.To test this hypothesis, the experimental study included the design of software-engineeringcourse content, coordination of the study’s control (traditional) and
m questionns for the daay; see Sectiion 3.3. Thesequestions provided th he rationale for coveringg the materiaal on a particcular day. When W viewedd atthe end of o the semestter the questtions represeented a frameework withinn which the course wasorchestraated and a means m for the students to frame their Semester S Leearning Essaays.3.1 Courrse organizaationThe relattionship betw ween the teaam organizattion and the course c conteent is displayyed in Figuree 2
& Electronic Technology, Mathematics Faculty Member and Full Professor at Northern Essex Community College.Prof. Lori Heymans, Northern Essex Community College Page 23.606.1 c American Society for Engineering Education, 2013 First-year Project-Based Engineering: The Secret to Student SuccessAbstractThis paper describes a project-based first-year introductory course at a community college whichemphasizes working in teams on hands-on projects that require using EXCEL and MATLAB.Assignments involve graphing data for Ohm‟s Law and the speed of sound in air, distancemeasuring using ultrasound
propose an evaluation process for the programme. Thefindings will be used to provide guidelines for the engineering leadership developmentprogrammme design specifically for higher education in Southern Africa.1. IntroductionWomen in engineering programmes are a crucial part of a country‟s response to the need formore women in engineering 8. A South African comprehensive university based in PortElizabeth, in collaboration with the merSETA (manufacturing and services seta*) responded tothe need for more women engineers by initiating the Women in Engineering LeadershipAssociation (WELA) in 2011. The goals of WELA are to focus on academic, professional andpersonal development of women engineering students (WES). Two successful years of growthand
research in physics education. Ohio: ICPE Books, 1-10.26. de Berg, K.C. (1995). Student understanding of the volume, mass, and pressure of air within a sealed syringe in different states of compression. Journal of Research in Science Teaching 32(8), 871-884.27. Kesidou, S. and Duit, R. (1993). Students’ conceptions of the second law of thermodynamics – an interpretive study. J. Res. Sci. Teach., 30(1), 85-106.28. Roberts, I. F. and Watts, D. S., (1976). The teaching of thermodynamics at preuniversity level. Phys. Educ., 11, 277-284.29. Kaper, W. H. and Goedhart, M. J., (2002b). Forms of energy, an intermediary language on the road to thermodynamics? Part II. Int. J. Sci. Educ., 24, 119-137.30. Kaper, W. H. and Goedhart, M. J., (2002a
Commonwealth of Virginia. His research activities have been in the area of digital communication systems and coding theory. He is currently a co-PI on the NSF S-STEM grant at Rowan University, whose goal is to increase the number of technically proficient graduates who will contribute to the economic vitality of the region. Page 23.327.2 c American Society for Engineering Education, 2013 CONFIGURATION AND ASSESSMENT OF A SENIOR LEVEL COURSE IN BIOMETRIC SYSTEMSABSTRACTIt is very important that modern topics be covered at the senior undergraduate level inorder that students benefit
s s Z1sin C1+C2 Step1 K1+K2 K2 -K1*L1-K2*L2 C2 -C1*L1+C2*L2 C2*L2 Z2_dot
laws to obtain the system model(i.e., ordinary differential equation) for one and two degree of freedom systems (this activity isidentical to initial HW assignments in previous offerings) and manually solve the system ofequations to determine the time response using Laplace transforms and partial fraction expansion(or the equivalent), for overdamped and underdamped cases/scenarios. Activity 2: Time Response/Experimental determination of transfer function/Model Verification(Chapter 4) Students will investigate the transient and equilibrium responses of the systems investigatedin Activity 1 using the final value theorem and system time constant(s) or damping ratio andnatural frequency values, similar to activities conducted in prior course
, thevelocity is zero everywhere, and for t ≥ 0, Vx at y=0 is 2 ft/s, and the fluid is water ( = 10-5ft2/s). Choose time interval of 2 sec and distance step (delta y) as 0.05 ft for the calculations. Vx Vx 2 2 t y Use discretized algebraic equivalent of the above equation and by creating a x-y grid calculatevelocity at nodes (1,1), (2,2) and (3,1). Predict laminar velocity profiles for a flow of twoadjacent fluids inside a tube.The above example problem is a typical textbook problem, however, before it was administered,author identified different concepts and concept levels (basic, moderate and advanced) anddeveloped three concept group exercises and administered them sequentially.Concept
So in a sense the question here is: Do students who exhibit specific difficulties in de-scribing rigid body motion at the beginning of Statics exhibit specific difficulties in assessingequilibrium at the beginning or end of Statics? If so, might identifying these students at the startof Statics allow the instructor(s) to more effectively address these students’ expected challengesand give those students a better chance of exiting Statics with a consistent and correct approachto assessing equilibrium? This work attempts to answer the first of these two questions.MethodologyTo test the notion that understanding a dynamic rigid body gives a better foundation for under-standing a static rigid body, students complete a pair of simple questions
-level class, with twenty-eight survey responses, highlights of the surveyinclude the following: Constrained-response: the questions asked in this category are shown in Table 1. A quarter of the students who responded indicated they did not watch any of the recorded videos at all, leading to an average of only 2.74 videos (out of the thirty available videos) watched by each student. One reason for their failure to do so could be that the instructor stopped sending out weekly reminders that the videos were available for them to watch after the third week of instruction. For those who did watch, about 55% of the students watched the lecture videos in their entirety, while the rest watched only part(s) of the videos. None
demonstrate differences in team performance for simulations and real robotexperiments. While simulations are good for quicker testing and a cheaper solution thanpurchasing equipment, conducting experiments with real robots allows for more accurate results.In physical experiments, there are many factors, such as robot interference, an unknownenvironment, and delayed communications, which can influence results. However, running realexperiments are required to accurately test the efficiency of an approach. Future work includesexamining these factors further.Bibliography[1] S. Dawson, B. L. Wellman, and M. Anderson, “Using simulation to predict multi-robot performance on coveragetasks,” in Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ
year 1612. It was in this station that Harvey began to start hisresearch and further his understanding about the anatomy of the human body. Harvey spent theseyears focused upon the circulatory system of the body. He was fascinated with the process ofblood circulation, and was continually searching for the truth behind the process. As “physicianextraordinary” to James I, Harvey had some access to cadavers by which to conduct his research.This access to the human body proved invaluable in Harvey’s research, however he began to seethings that did not match up to the commonly held teachings of the time.During the 1600’s the view of the circulatory system was that of a body full of veins which couldpump blood both to and from the heart
Heat Exchanger In-Class ActivityDirectionsIn groups of two solve the following heat exchanger design problem using EES.DeliverablePer group, fill out one solution sheet (attached). The answer sheet is set up such that you can fillit out as you go, and gives you a hint to the order of equations you can solve as you determine asolution, i.e. you can solve as you go along, not just at the end.ProblemA counter flow heat exchanger is used to heat 1.25 kg/s of water form 35 to 80◦ C by coolingan oil (specific heat of 2.0 kJ/kg◦ C) from 150 to 85◦ C. The overall heat transfer coefficient is850 W/m2◦ C. A similar arrangement is to be built at another plant location, but it is desired tocompare the performance of the single counterflow heat exchanger
modules engage visitors in learning to express their needs assertively,negotiate effectively when interests and positions may diverge, and manage conflict as it arisesin their environment(s). The Advanced Strategies rely on the mastery of the Essential Skills andunderstanding of Communication Elements. The Advanced Strategies modules and associatedskills are presented in Table 3. The following is a sample of text taken from the Introductionsection of the Advanced Strategy entitled, Negotiation: Negotiation is a discussion between two or more people that involves two main functions: identifying a common ground and reaching an explicit agreement regarding a matter of mutual concern. It’s an advanced strategy that relies on the
Foundation. The authors would also like to acknowledge Lauren Gibboney, JosephLuke, James McIntyre, John Nein, and Joshua Rush for their work developing the Adaptive Maptool.6. References[1] T. L. Russell, The No Significant Difference Phenomenon. North Carolina State University, 1999.[2] D. F. Dansereau, “Node-Link Mapping Principles for Visualizing Knowledge and Information,” in Knowledge and Information Visualization, vol. 3426, S.-O. Tergan and T. Keller, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005, pp. 61–81.[3] G. W. Ellis, A. Rudnitsky, and B. Silverstein, “Using concept maps to enhance understanding in Engineering Education,” International Journal of Engineering Education, vol. 20, pp. 1012–1021, 2004.[4] M. W. A
caretaker. The Bridge House was recently transformed by undergraduatestudents6 into a structural dynamics laboratory, including aesthetic rehabilitation, fabrication andinstallation of testing equipment and the addition of removable braces to alter the buildingdynamic response. The Bridge House is ideal for vibration experimentation since it is simpleenough for the students to quickly model by hand calculations and with computational models,yet complex enough so that the results can be readily applied to an actual structure. Thestructural system is straightforward consisting of ordinary moment frames in the N/S direction,and concentrically braced frames in the E/W direction. Removable braces were also installed inthe E/W direction (see Figure 1c
York, NY: The Berkley Publishing Group.5 Michaels, D. 2008. Doubt is Their Product: How Industry’s Assault on Science Threatens Your Health.New York, NY: Oxford University Press.6 Lerner, S. 2010. Sacrifice Zones: The Front Lines of Toxic Chemical Exposure in the United States.Cambridge, MA: The MIT Press.7 Steingraber, S. 2010. Living Downstream: An Ecologist’s Personal Investigation of Cancer and theEnvironment. Cambridge, MA: Da Capo Press.8 Makary, M. 2012. Unaccountable: What Hospitals Won’t Tell You and How Transparency CanRevolutionize Health Care. New York, NY: Bloomsbury Press.9 Downey, G. L. and J. C. Lucena. 2005. National Identities in Multinational Worlds: Engineers and‘Engineering Cultures.’ International Journal of
. (2013). http://www.nextgenscience.org/4. Sullivan, J. F., Cyr, M. N., Mooney, M. A., Reitsma, R. F., Shaw, N. C., Zarske, M. S. & Klenk, P. A., (2005). The TeachEngineering Digital Library: Engineering Comes Alive for K-12 Youth, Proc.ASEE Annual Conference, Portland, Oregon.5. Johnson, G. (2001). Project Lead The Way® A Pre-engineering Secondary School Curriculum, Proc. 2001 American Society for Engineering Education Annual Conference & Exposition, Albuquerque, New Mexico.6. NEES Strategic Plan 2010-2014. Retrivved March 15, 2013 from http://nees.org/resources/5711/download/strategic_plan_2010-2014.pdf7. Brophy, S., Lambert, J. & Anagnos, T. (2011). NEESacademy: Cyber-enabled Learning Experiences for K-16 Earthquake
,research in this area is still very new. This was one setting in a rural district at one point in timeand findings may not generalize to other populations. Also, the archival nature of the data did notallow for additional data collection to understand findings or points of interest that arose duringdata analysis.Bibliography1. Adams, R., Evangelou, D., English, L., de Figueiredo, A., Mousoulides, N., Pawley, A., Schifellite, C., Stevens,R., Svinicki, M., Trenor, J., & Wilson, D. (2011). Multiple perspectives on engaging future engineers. Journal ofEngineering Education, 100(1), 48-88.2. Rogers, C., & Portsmore, M. (2004). Bringing engineering to elementary school. J.of STEM Ed, 5 (3,4), 17-28.3. Adams, S. (2003) Building successful student
; Adams, R. S. (2006). Tackling the research-to- teaching challenge in engineering design education: Making the invisible visible. International Journal of Engineering Education, 22(3), 598.[6] Atman, C. J., Adams, R. S., Cardella, M. E., Turns, J., Mosborg, S., & Saleem, J. (2007). Engineering design processes: A comparison of students and expert practitioners. Journal of Engineering Education, 96(4), 359.[7] Mullins, C. A., Atman, C. J., & Shuman, L. J. (1999). Freshman engineers’ performance when solving design problems. IEEE Transactions on Education, 42(4), 281 –287.[8] Ahmed, S., Wallace, K. M., & Blessing, L. T. (2003). Understanding the differences between how novice and experienced designers approach
of Engineering and the National ScienceFoundation under Grant No. 1237830 (the authors are PI and co-PIs).References1. Atman, C. J., Sheppard, S. D., Turns, J., Adams, R. S., Fleming, L. N., Stevens, R., Streveler, R. A., Smith, K. A., Miller, R. L., Leifer, L. J., Yasuhara, K. and D. Lund. (2010). Enabling Engineering Student Success: The Final Report for the Center for the Advancement of Engineering Education. San Rafael, CA: Morgan & Claypool Publishers. http://www.engr.washington.edu/caee/final_report.html/.2. Adams, R., Evangelou, D., English, L., Dias de Figueiredo, A., Mousoulides, N., Pawley, A. L., Schifellite, C., Stevens, R., Svinicki, M., Trenor, J. M. and D. M. Wilson. (2011). “Multiple Perspectives on
Annual Conference of IEEE, November 6-10, 2005.[4] Costas-Pérez, L., Lago, D. & Fariña, J., 2008, “Optimization of an industrial sensor and data acquisition laboratory through time sharing and remote access,” IEEE Transactions on Industrial Electronics, 55(6), 2396-2404.[5] Blais, F., 2004, “Review of 20 years of range sensor development,” Journal of Electronic Imaging, 13(1), 231-243.[6] Karayev, S., Jia, Y., Barron, J., Fritz, M., Saenko, K. & Darrell, T., 2011, “A category-level 3-D object dataset: putting the Kinect to work,” IEEE International Conference on Computer Vision Workshops, November 6-13, 2011, Barcelona, Spain, pp. 1167-1174.[7] Kinect Sensor, http://msdn.microsoft.com/en-us/library/hh438998.aspx, accessed
-based instructional approaches and implement these approaches intheir classrooms and it will identify best practices for implementing effective VCP models. Asecondary affect of this effort is providing a large number of faculty members with an effectivevirtual learning experience, which should enable and encourage them to explore distanceeducation in a more meaningful way. Page 23.594.13AcknowledgementsThis work was supported by NSF grant DUE-1224217.References1. Anderson, W., U. Banerjee, C. Drennan, S. Elgin, I. Epstein, J. Handelsman, F. Hatfull, R. Losick, D. O’Dowd, B. Olivera, S. Strobel, C. Walker and I. Warner (2011). Changing the
Communicating Technical Ideas was to provide participants withspecific strategies and tools to help them as researchers and engineers become more confident andeffective communicators. This workshop was held at the ASME IDETC in Chicago, IL on August12, 2012.The workshop, led by Dan Agan, consisted of presentation and active participation. There was atotal of one hour of working session(s) built into the agenda. All workshop participants receiveda free download of the companion guide on creating PowerPoint presentations, and the Pantheraproprietary communications tools: the Communications Planning Worksheet, the MessageTriangle, and the Storyboard Worksheet (for planning PowerPoint visuals). A networking eventconcluded the workshop.Workshop Execution
? What is a safe design? What are the factor(s) that will affect thedesign the most? Phrasing it differently, knowledge resides in the questions that can be asked andthe answers that can be provided (2) .A sequence of inquiry characterized by a hierarchy: certainquestions need to be asked and answered before other questions can be asked. There is a setprocedure which constitutes the inquiry process in an epistemological context. Taxonomies ofsuch a procedure or inquiry process have been extended to computational models(4) , to theintricacy between asking and learning(5) , and would also apply to the questions students askduring a class and/or tutoring session(6).There are two classes of questions within a design context; the first is the
identity, and physics career choice: A gender study. Journal of Research in Science Teaching;2010, 47, 978–1003.[15] Cribbs, J., Hazari, Z., Sadler, P. M., & Sonnert, G. Development of an explanatory framework for mathematicsidentity. In Proceedings of Psychology of Mathematics Education – North American (PME-NA) ChapterConference; 2012.[16] Potvin, G., Beattie, C., & Paige, C. Building a valid and reliable assessment of physics identity . In NationalAssociation for Research in Science Teaching Annual Conference; 2012.[17] Lent, R. W., Brown., S. D., & Hackett, G. Toward a unifying social cognitive theory of career and academicinterest, choice, and performance. Journal of Vocational Behavior; 1994, 45, 79 – 122.[18] Lent, R. W., Brown
). Informal and incidental learning in the workplace In M. C. Smith & N. DeFrates-Densch (Eds.), Handbook of Research on Adult Learning and Development. New York: Routledge.[2] Cross, J. (2007) Informal Learning: Rediscovering the National Pathways That Inspire Innovation and Performance. San Francisco: John Wiley & Sons.[3] Dreyfus, S. (2004). The Five-Stage Model of Adult Skills Acquisition. Bulletin of Science Technology & Society, 24(3), 177-179. DIO:10.1177/0270467604264992[4] Dreyfus, S. E. & Dreyfus, H. L. (1980). A five-stage model of mental activities involved in directed skills acquisition, paper to Air Force Office of Scientific Research. pg. 3