-browser window -which contributes to making the remote lab experience feel more real and scalable to multipleusers at the same time. Although multiple users can view the link at the same time, only one cancontrol the instruments remotely (for example to change the sampling time). In Fig. 7, the userhas been granted control after requesting it from the server hence the message “Control granted.” Fig. 7. LEWAS tabbed interface accessed in client’s Web browser showing weather parameters in an indoor test. Functional Operation of LEWASFig. 8 shows the operational diagram of LEWAS lab. As depicted in this figure, first, eachenvironmental parameter is converted to a digital representation of 0’s and 1’s through dataacquisition that takes
elements or structures are valuable to students in enhancingtheir time management for the enrolled course. A limitation of the reported results is that actualimprovement in time management skill was not measured; rather, the students’ perception ofimprovement was measured. Further study with measures of actual time management skills iswarranted. Further, longitudinal study regarding the persistence of time management skillacquired could elucidate important relationships about transfer of this necessary life skill to othercontexts. Page 25.911.12References1. C.E. Goodson, Miertschin S., Stewart B. “On-line Delivery of Courses: What Components
advanced cycles; air-conditioning processes of humid air; ReheatRankine cycle including means to improve its efficiency; Otto and Diesel cycles; Brayton withintercooling, reheating and regeneration; property diagrams, p-v, T-v, T-p, T-s, h-s, p-h, andPsychrometric chart . The course schedule is shown in Table 1 and is divided into ten weeks;each quarter typically contains ten weeks. Each week has 200 minutes of lectures, contents ofwhich are shown in the second column. Seven labs are offered, in weeks 2, 3, 4, 5, 7, 8, and 10.Labs 1-4 require only 60 minutes per team; labs 5 and 6 require 90 minutes; Lab 7 is a two-and-ahalf hour tour of HVAC systems used to air-condition medical research laboratories at FredHutchinson Cancer Research Center
of our Bachelor’s Degree Completion program as we continue togrow and improve the program. We hope to better serve our metropolitan region and contributeto the overall increase of college graduates within the region. We plan to expand the program inthe future to provide students with a larger number of elective courses and more options forspecialized tracks. Several tracks such as health IT, engineering patent and nanotechnology areunder consideration to be added to this program. 1 S. W. Popper and C. S. Wagner.” New Foundations for Growth: The U.S. Innovation System Today and Tomorrow”. Santa Monica, CA: RAND Corporation, 2002. 2 R.D. Atkinson and M. Mayo, “Refueling the U.S. Innovation Economy: Fresh Approaches to
relevance and social relevance connections used for the 11th-12th gradecurricula. Page 25.1402.10 Table 3 Ropes Course Curriculum Session and Leader, Topics, Personal Relevance, and Social Relevance Personal Relevance/ Age Social Relevance Curriculum Session and Leader Topics Discussed Appropriateness (11th-12th grade) Connection(s)Ropes Course Physics • Kinetic energy • Attendees may have taken/may be • Roadside safety devices
-levelengineering courses?This paper examines the need and effectiveness of online homework for upper-level engineeringcourses as well as the difficulties in creating such a product. The experiences and outcomes of ane-learning company, Sapling Learning, that developed commercial online homework for thesecond year chemical engineering course, Material and Energy Balances are presented.Because online homework in the engineering fields is a rarity, some background is required tounderstand how Sapling Learning began developing online chemical engineering homework. In2008, Sapling Learning began developing textbook-independent homework and sold the productdirectly to instructors and universities to be paired with any textbook. “Technology T.A.’s” atSapling
.”) Page 25.1080.3Building RelationshipsBefore starting the PLTW conferences, Professor Harding spent a few years buildingrelationships with teachers from local high schools. Of the 20-30 high schools in the region,there were four PLTW schools, so he started there. His first contact at each school was generallywith the principal, then with the PLTW teacher(s).He built a recruiting presentation, and started visiting the schools. At one school, the largest inthe region, the PLTW instructors set up large assemblies of students (PLTW classes, physicsclasses, etc.) so he could speak to hundreds of students in a single visit. At the other schools henormally spoke to one or two PLTW classes.Although it has a recruiting component, the presentation itself
learning techniques), and high-strain deformation of materials. She is currently a Co-PI in an NSF S-STEM and ADVANCE-PAID grants. She is actively involved in outreach activities that introduce middle school students to engineering.Dr. Theresa M. Vitolo, Gannon UniversityBarry J. Brinkman, Gannon UniversityDr. Scott Steinbrink, Gannon University Page 25.1147.1 c American Society for Engineering Education, 2012 Seeking Relevancy, Building Excellence: Service Learning in the SEECS Program, an NSF S-STEM sponsored projectThe Scholars of Excellence in Engineering and
GC 2012-5639: EFFECT OF WOMEN IN ENGINEERING PROGRAMSON CAREER DEVELOPMENT OF FEMALE ENGINEERING STUDENTSDong Ik Kim, Kunsun UniversityProf. Myongsook Susan Oh, Hongik University Myongsook Oh is a professor of Chemical Engineering Department at Hongik University in Seoul. She obtained a B.S. degree in chemical engineering from the University of California at Berkeley, and Sc. D. from Massachusetts Institute of Technology (MIT). Before joining Hongik University, Dr. Oh was associated with Lawrence Livermore National Laboratory (LLNL) and Texaco, Inc in the U. S. Starting from her Sc. D. thesis on softening coal pyrolysis, she worked on the conversion of fossil fuels for over 30 years. She has continued working on the
AC 2012-3787: EFFECTIVE ACTIVE LEARNING APPROACHES TO TEACH-ING SOFTWARE VERIFICATIONDr. Sushil Acharya, Robert Morris University Sushil Acharya, D.Eng., Associate Professor of software engineering, joined Robert Morris University in the spring of 2005 after serving 15 years in the Software Industry. With U.S. Airways, Acharya was responsible for creating a data warehouse and using advance data mining tools for performance improve- ment. With i2 Technologies, he worked 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 are in use in 26 Asian and seven European countries by
DOD basic research 2,111 2,116 +0.2% (“6.1”) DOD applied 4,737 4,477 -5.5% research (“6.2”) DHS R&D 577 729 +26.3% DOE Weapons 4,281 4,691 +9.6% Activities • The Budget invests in defense-related S&T across a diverse portfolio, including advanced manufacturing, energy efficiency, cybersecurity, robotics, clean energy, a safe and secure nuclear arsenal, explosives detection, and biodefense. • The Budget provides $2.8 billion for DARPA’s breakthrough research. Advanced Manufacturing in the 2013 Budget Creating New American Jobs in Manufacturing• The
, S.L., Lusth, J.C, Kotru, S. (2011). Creativity in an Introductory Engineering Course, Proceedings of the 2011 American Society for Engineering Education Annual Conference and Exposition, Vancouver, Canada.4. Veltman, T., Rosehart, W., Eggermont, M., Onen, D. (2011). Evaluation and Analysis of Freshman Design Courses in Engineering, Proceedings of the 2011 American Society for Engineering Education Annual Conference and Exposition, Vancouver, Canada.5. Dieter, G.E, Schmidt, L.C. (2009). Engineering Design, 4th edition, McGraw-Hill, New York.6. Vargas Hernandez, N., Kremer, G., Linsey, J., Schmidt, L. (2010). Systematic Ideation Curriculum Effectiveness Investigation & Deployment to Enhance Design Learning
tool.5 ConclusionsIn this paper, the use of impromptu design exercises in an introductory mechanical engineeringcourse was presented. These exercises were used to introduce three design ideas: 1) the designprocess, 2) brainstorming and decision making, and 3) optimization. The developed exerciseswere presented along with details pertaining to implementation and preliminary evaluationresults. Evaluation results showed that the impromptu design exercises had an impact (at least inthe student’s perception) on their engineering design education.AcknowledgmentsThe authors gratefully acknowledge the Villanova Institute for Teaching and Learning (VITAL)for supporting this project.References[1] C. Reidsema, S. Wilson, and C. Netherton. “Impromptu
students.Acknowledgement: This study was conducted under NSF grant 087139: Evaluating Online MetacognitionTools and Strategies for Their Use. The author would like to thank the University of Michigan-Flint Office of Research for support in preparing the manuscript. Page 25.743.9References[1] Paris, S. G., & Winograd, P., (1990). Metacognition in academic learning and instruction. In B.F. Jones (Ed.),Dimensions of thinking and cognitive instruction. Mahwah, NJ: Erlbaum, 15-44.[2] Chua E. F., Schacter, D. L., Rand-Giovannetti, E., Sperling, R. A., (2006). Understanding metamemory: neuralcorrelates of the cognitive process and subjective level of
. After the system properties are set correctly, thesimulation is run and the links are set into motion. The system can then be analyzed using thecharting functions available in Working Model. The top graph shows the angle of rotation of linkAB with respect to time and the bottom graph displays the velocity of point C with respect totime. When link AB is exactly vertical (360° in this simulation) the velocity of point B is 5 ft/s inthe negative i-direction. The students can then look on the velocity chart to determine thevelocity of point C at the instant in time that AB is exactly vertical. This laboratory gave thestudents an interesting example of how to solve a real world problem using simple motionsoftware. The students had to develop a
more practical matters.References 1. Carpi, A. (2003). The Vision Learning Project. Journal of College Science Teaching, 33(1), 12-15. 2. Dennis, A. R. & Kinney, S. T. (1998). Testing Media Richness Theory in the New Media: The Effects of Cues, Feedback, and Task Equivocality. Information Systems Research, 9(3), 256-274. 3. Howard, W.G., Ellis, H.H., & Rasmussen, K. (2004). From the Arcade to the Classroom: Capitalizing on Students' Sensory Rich Media Preferences in Disciplined-Based Learning. College Student Journal, 38(3), 431-440. 4. Kolodner, J. L. (1997). Educational Implications of Analogy: A View from Case-Based Reasoning. American Psychologist, 52, 57–66. 5. Paivio, A. (1990
developmental theory for higher education. Journal of CollegeStudent Personnel, 25, 297-308. 5 Tinto, V. (1997). Classrooms as communities: Exploring the educational character of student persistence.Journal of Higher Education, 68(6), 599-623. 6 Chachra, D., Chen, H. L., Kilgore, D., & Sheppard, S. D. (2009, October). Outside the classroom: Genderdifferences in extracurricular activities of engineering students. Proceedings of the 39th ASEE/IEEE Annual Page 25.834.12Frontiers in Education Conference, San Antonio, TX. 7 Brown, A., Morning, C., & Watkins, C. (2005). Influence of African American engineering
forward would depend on the specificapplication being developed. For the purpose of this example, it is sufficient to demonstrate thedifferences between the two images. Page 25.906.8 Figure 7. RGB Image Edge Detection Figure 8. Depth Image Edge DetectionThe intention of the model and examples discussed above is to demonstrate the value ofintegrating the KinectTM sensor into the MATLAB® and Simulink® software environment. TheVU-Kinect S-Function and Simulink® block allow the KinectTM sensor data, RGB and depth, tobe manipulated and processed by the various tools available in the Simulink
responsibilities, if any, and their institutionalCarnegie profile3 are as follows:Professor and Associate DeanUndergraduate Instructional Program—Prof+A&S/HGC: Professions plus arts & sciences, highgraduate coexistence; Graduate Instructional Program—CompDoc/NMedVet: Comprehensivedoctoral (no medical/veterinary); and a Community Engagement—Outreach and PartnershipsCarnegie classification—category institution.ProfessorUndergraduate Instructional Program/Prof+A&S/HGC—Professions plus arts & sciences, highgraduate coexistence; Graduate Instructional Program—Doc/Prof: Doctoral, professionaldominant; and a Community Engagement—Curricular Engagement and Outreach andPartnerships Carnegie classification—category institution.ProfessorUndergraduate
Page 25.972.7References 1. Newmann, C., Lieberman, D., Engelberg, D., Flamholz A., Marchese, P., Tremberger, G., Cheung, T.,“LabVIEW Graphical Programming in an Introductory Engineering Physics Course”, ASEE Annual Conference 2006-394. 2. Hrynuk, J., Pennington, M., Illig, D., Dempsey, J., “Freshman Engineering: An Introductory Computer Course Teaching Matlab and Labview”, ASEE Annual Conference 2008-1408. 3. Akinwale, O., Kehinde, L., Ayodele, K., Jubril, A., Jonah, O., Ilori, S., Chen, X., “A LabVIEW-Based On- Line Robotic Arm for Students' Laboratory”, ASEE Annual Conference 2009-1179. 4. Lohani, V., Delgoshaei, P., Green, C.,” Integrating Labview And Real-Time Monitoring into Engineering
ramp; second, anothertour of previously builtramps was added a fewweeks prior to the builddate. Students had thechance to inspect severalramps to see how they wereconstructed and think abouthow the building of theirramp might be sequenced.The last stop on the tour isthe location of the actualbuild site. Here students Figure 1. Example of "modular" designmeet the ramp recipient(s), takemeasurements and pictures of the site, and start to develop their designs.Secondly, clearer requirements for design loading, specifically, determining load limits andensuring long spans will not exceed the modulus of rupture (a material's ability to resistdeformation under load), were specified. More guidance for
reflect the views of the National Science Foundation.Bibliography1. Knight, M., & Cunningham, C. M. (2004). Draw an Engineer Test (DAET): Development of a tool to investigate students' ideas about engineers and engineering. Proceedings of the 2004 American Society for Engineering Education Conference & Exposition, Salt Lake City, UT.2. Fralick, B., Kearn, J., Thompson, S. & Lyons, J. (2009). How middle schoolers draw engineers and scientists,” Journal of Science Education and Technology, 18(1), 60-73.3. Dyehouse, M. Weber, N., Kharchenko, O., Duncan, D., Strobel, J., & Diefes-Dux, H. (2011). Measuring students’ perceptions of engineers: Validation of the draw-an-engineer (DAET) coding system with Interview
economical.” Grand Challenges for Engineering. 2 May 2011. .3. Foroudastan, S, Klapper, R, & Hyde, S. “Intercollegiate Design Competitions and Middle Tennessee State University’s Machine Shop: Kindling Engineering Technology-Student Creativity & Confidence.”4. “Welcome to Solar Splash.” 2 May 2011. .5. Foroudastan, S. “Undergraduate Research and Creative Activity at MTSU.”6. “The Case for a Name Change.” A UMR White Paper. 10 Nov. 2006. .7. Foroudastan, S. “Enhancing Undergraduate Performance through Peer-Led, Team- Learning (PL-TL).”8. Hockings, SC, DeAngelis, KJ, & Frey, RF. “Peer-led team learning in general chemistry: implementation and
. We are continuing to develop these resources through collaborations withother disciplinary based education researchers in the STEM fields 23. As these resources becomemore widely available, instructors will be able to select from a large number of questions,administer the question(s) in an online assignment, run the student data through text analysissoftware, and compare results with previously developed models. The resource and timeinvestment spent on analysis becomes minimal for the instructor, allowing him/her to invest thegreater proportion of his/her time in reviewing the analysis to identify areas where students showmisunderstandings and designing interventions to address this in the next class.Constructed response assessments
of a Solar- Harvesting Circuit for Batteryless Embedded Syatems,” IEEE Trans. Circuits and Systems, vol. 56, pp.2519-2528, Nov 2009.8. Hirak Patangia, “Assisted Night Vision for Motorists in Highway Construction Zones: Phase II,” www. Mackblackwell/MBTC2064.9. K. Shukla, S. Sampath and K. Vijayamohanan, “Electrochemical supercapacitors: Energy storage beyond batteries”, General Articles.10. Marin S. Halper, James C. Ellenbogen, “Supercapacitors: A Brief Overview”, MITRE McLean, Virginia, March 2006.11. H. Patangia, “Amplitude Division Multiplexing Scheme in Analog Signal Processing”, in Proc. IEEE Int. Midwest Symp. Circuits & Systems, August 2005, Cincinnati, Ohio12. H. Patangia and D. Gregory
Page 25.29.10question the construct of contemporary graphical education and consider the impact andpotential of current practices.Reference 1. Fish, J., Scrivener, S. (1990). Amplifying the Mind's Eye: Sketching and Visual Cognition. Leonardo, 23, 117-126. 2. Norman, E. and Seery, N. (Eds) (2010) IDATER Graphicacy and Modelling, Loughborough 3. Ritz, J. (2009). "A New Generation of Goals for Technology Education." Journal of Technology Education 20(2), 50 - 64. 4. Rasinen, A. (2003). "An Analysis of the Technology Education Curriculum of Six Countries." Journal of Technology Education 15(1): 31 - 47. 5. Dunbar, R., (2010) Informing Technology Teacher Education; Exploring the Effects of
Economics. Education Economics. June 2006;14(2):211-233.6. Crede M., Roch S. G., Kieszczynka U. M., Class Attendance in College: A Meta-Analytic Review of the Relationship of Class Attendance with Grades and Student Characteristics. Review of Educational Research 2010; 80(2): 272-295.7. Davidovitch N, & Soen D. Class Attendance and Students' Evaluation of their College Instructors. College Student Journal. September 2006;40(3):691-703.8. Dollinger S, Matyja A, & Huber J. Which factors best account for academic success: Those which college students can control or those they cannot?. Journal of Research in Personality. August 2008;42(4):872-885.9. Gump S. The Cost of Cutting Class. College Teaching