, no statistically significantdifferences are found. However, the low overall utilization of the resource may be masking thepotentially significant difference between the two treatments seen in the high-access group.This investigation into homework solution format, as well as best-practices with regards toencouraging student use of the resource, will continue. Specifically, investigations are planned tostudy if providing students with a worked-out-homework solution (from a similar but notassigned problem) before the assignment is due is a more effective intervention than providingsolutions after the due date.Bibliographic Information[1] Steif, P. S., and Dantzler, J. A. (2005). “A Statics Concept Inventory: Development and Psychometric
Page 23.837.9#0836041 and #1226325References1. Hattie, J, and Timperly, H., (2007). The Power of Feedback. Review of Educational Res., 77 (1), 81–112.2. Schute, V. J., (2008) Focus on Formative Feedback. Review of Educational Research, 78, 153-189.3. Streveler, R. A., Litzinger, T. A., Miller, R. L., & Steif, P. S. (2008). Learning conceptual knowledge in the engineering sciences: Overview and future research directions. J. of Engineering Education, 97(3), 279–294.4. Vygotsky, L. (1962) Thought and Language, T. E. Hanfmann & G. Vaka (Eds.), Cambridge, MA: MIT Press.5. Donovan, M. S., Bransford, J. D. & Pellegrino, J. W. (Eds.) (1999). How people learn: Bridging research and practice. National Academy Press
Page 23.843.4understanding the appropriate conditions under which a fatigue model may be applied. Table 1. Results from tensile test of fatigue specimen material Published [8] Experimental Difference (%) E (ksi) 29,000 28,670 1.2% Su (psi) 70,300 92,000 24% Sy(psi) 60,200 77,000 18% %RA 40% 40% 0 1.E+05 Alternating Stress, S (psi) Experimental
development for faculty in their respective area(s) of expertise is imperative for theviability of any academic program and the success of the institution of higher education [1].Professors are expected to understand the subject(s) that they teach and understand how to applythe material to real-world scenarios. While research suggests that most faculty members “areinherently self-driven learners” [1], some academic disciplines, such a pharmacy education, useaccreditation councils that specifically advocate an effective continuing professionaldevelopment program [1]. This paper posits that one of the most effective ways for engineeringand technology faculty to obtain continuing professional development is through active andcontinual engagement with
function forthe PID controller can be represented by Equation (3) K D s 2 K props K I K GPID K prop I sK D , (3) s s where Kprop is the proportional constant, KI is the integral constant, and KD is the derivativeconstant. A discrete PID controller can be implemented through MATLAB simulation as in (4)[13], r(k ) r(k 1) K1e(k ) K 2 e(k 1) K3e(k 2) (4)where e command K1 K prop K I t K D / t
analysis.Ed Moran, Western Washington University RF and Instrumentation technician from San Jose area, supporting Western Washington Univ.’s Electron- ics Engineering Technology Dept.Jeremy Ruhland, Western Washington University Jeremy Ruhland is an electrical engineering technology student from Western Washington University in Bellingham, WA. Eir interests include electromechanics, robotics, communications and embedded sys- tems. Ey is also head electrical engineer of the WWU Marine Technology Club, which builds underwater remotely operated vehicles for the MATE ROV competition. Page 24.88.1
designdifficulty of the selected design element(s), and the need to generate team interactions. Teamassignments can also be adjusted during the course so that all teams have an equivalent workload. If a particular design component becomes easier than anticipated to design then anadditional component can be added to the design team’s the scope-of-work. Or if a teamstruggles with the completion of their design, the instructor could provide additional informationto move the design along.The ability to select the project months prior to the beginning of the course eliminates therequirement of locating a local practice design professional, an engineering firm, and anacceptable project or the need to fabricate a project and supporting data. This
://www.lego.com/3. Hoffmann, M., and Pfeifer, R., “The implications of embodiment for behavior and cognition: animal and robotic case studies”, The Implications of Embodiment: Cognition and Communication, in W. Tschacher & C. Bergomi, ed., Imprint Academic (2011).4. Mason, M. T., Rodriguez, A., Srinivasa, S. S., Vazquez, A. S., “Autonomous manipulation with a general- purpose simple hand”, The International Journal of Robotics Research, vol. 31, No. 5, pp. 688-703. (2012).5. Brown, E., Rodenberg, N., Amend, J., Mozeika, A., Steltz, E., Zakin, M. R., Lipson, H. & Jaeger, H. M., "Universal robotic gripper based on the jamming of granular material". Proc Natl Acad Sci USA, 107, 18809– 14. (2010
trade-offs in the production of an artifact that bestsatisfies customer and other stakeholder preferences12”. Sustainable design only requires thatsustainability principles be incorporated into this complex decision-making process to promoteconsideration of and balance between the three sustainability pillars. Describing this innovativeapproach to design, Skerlos et.al.12 states that sustainable design “brings focus” to the design Page 23.408.2process, while McLennan13 says that sustainable design “expand[s] the definition of good designto include a wider set of issues”. Overall, designing for sustainability is not an alternative totraditional
Engineering from Nnamdi Azikiwe University, Nigeria. Her research interests in- clude alternative energy systems, sustainable infrastructure, and transportation systems management.Dr. Suzanna Long, Missouri University of Science & Technology Dr. Suzanna Long is an assistant professor of Engineering Management and Systems Engineering at Missouri S&T and holds a Ph.D. and M.S. in Engineering Management, B.S. in Physics and in History (University of Missouri-Rolla) and an M.A. in History (University of Missouri-St. Louis). Her research focuses on sustainable infrastructure systems, including sustainability in global supply chains and trans- portation systems. She is a recognized expert in sociotechnical systems.Dr. Ean
that prepare graduates to attain theprogram educational objectives.” The criteria are typically met across a number of junior andsenior level courses. We use S/U/- (satisfactory/unsatisfactory/Not Available) notation toidentify whether a student met one or more of these criteria in a given course. An S roughlymaps to grades of C or better, but is not always a given. Thus, each faculty member shouldmanually record these letter grades for each of his/her course students in a given semester. Ourengineering curriculum typically offers 12 courses at junior and senior levels every semester, andhas typical enrollments of 18 per course. A typical student spends 6 or more semesters in ourprogram to satisfy the graduation requirements. We graduate 20 to
-a.s.go, ASET(AccFditation Bo.rd for Enginoo.tng.nd Tgchnology),thg primary accroditationorganizatlonfor poat secondaryengineeringand tochnobgtac5demtc uniE in tho UnitedStat s, ruvlaedit3 r€quiEmentsfor undergraduatop.ogram6lead-iigto a bacheto/s of sciencedegrceln engim€ring. The n€w standaratt,known as EC200O, ,equire liat studenb receivingthe B.S,dogreenundorstand the tmpactof engii€eringsolutionl in a gtobal,economrc, envinonmental! andtocietalcontoxl.,, ThefollowingquertionnaiEIs dtvidodinto fivesho secuons: A. You. collegoor univeEity's a$pon3e to tfte ABETstandarde B. Youaacademicuoit,sexpedence with onlinecouEes C. Your aGademlcunifs interult in ofiering edd[ionrl onlin6 course3to mo€tthe ABET
Engineering.Jyothsna Kavuturu, Jyothsna K. S., Department of English, St.Joseph’s College, Bangalore, secured a gold medal for the high- est aggregate marks in the Post Graduate English Literature Course at St.Joseph’s College (autonomous). K. S. has been working for the Department of English, St.Joseph’s College for almost two years now, teaching both undergraduate and Postgraduate courses in English. K. S. has published papers in intramu- ral and extramural publications, and presented papers at several conventions, conferences, and seminars. Page 23.199.1 c American Society for Engineering
in Measurement and Control” Prentice- Hall International Ltd. New York, NY. 1988.(3) Doebelin, E. “Measurement Systems, Application and Design”. McGraw-Hill. 1990.(4) Eide, Jenison, “Engineering Fundamentals an Problem Solving” . McGraw-Hill Inc. 1999.(5) Hansberry, E. , Lopez G. “Marine and Related Mini Design Problems Presented in and Introductory Engineering Graphics Course” Proceedings of the ASEE Annual Conference & Exposition. Montreal, 2002.(6) Tse, F; Morse, I.; “Measurement and Instrumentation in Engineering” Marcel Dekker, Inc. New Yor, NY 1989.(7) Voland, G., “Engineering by Design” Addison-Wesley Longman, Inc. 1999.(8) Wolf, S. ; Smith, R. “Student Reference for Electronic Instrumentation Laboratories”. Prentice-Hall
slowly applied pressure, and in the mid and late 1980’s, manyengineering programs began adding manufacturing processes courses back into their curricula.PUC followed suite as well. Hence, more technology and engineering students are usingmanufacturing processes laboratories now than two decades ago, a prime reason to rehabilitateand modernize a laboratory.When the Anderson Building was initially constructed, funds were included in the original Page 8.972.1building proposal to equip a modest manufacturing laboratory with a lathe, milling machine, drillpress, surface grinder, and horizontal and vertical bandsaws to support the new programs.Equipment
Development for the Civil Engineer: Setting the Agenda for the 90’s and Beyond, ASCE, Las Vegas, NV, April 1990.2. Ghafoori, Nader and DeNatale, Jay S., “ASCE’s Student Chapters: Statistical Analyses of Key Characteristics”, Journal of Professional Issues in Engineering Education and Practice, Vol. 117, No. 3, July 1991, p. 267-274.3. ASCE, Student Group Handbook, Guidelines for Student Officers, Faculty Advisors, Contact Members, 1992.4. Evans, Mark D., Evans, Denise M., and Sherman, Lisa D., “Seven Keys to a Successful ASCE Student Chapter or Club--A Guide For Student Leaders And Faculty Advisors,” accepted for publication to the Journal of Professional Issues in Engineering Education
would tip to pour as the handle is raised. These are technical factors. • One would consider the ergonomic factors that the handle be comfortable to grasp and that Page 8.196.3 the effort of pouring would be consistent with the abilities of the target population. Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright © 2003, American Society for Engineering Education • The material(s) selected for the handle and the processes selected for fabricating it and attaching it to the dispenser (if appropriate) must be consistent with the
• Provides a short narrative describing the team's overall assessment of the project's successes, shortfalls, and whether/how additional resources (more time, more people with specified skills, investment capital, etc.) would update the nature of the project's results Enterprise Provides a narrative description that identifies the business, its strategic Description vision, its primary products or services offerings, its estimated annual operating budget, and any other factors you think are significant Business Provides a narrative description for each model you choose that explains Model(s
. The I/Ointerface card used for all these experiments is NI 6040E14. This card has 12-bit accuracy with16 single ended, 8 differential channels, 2 channels analog output of 12-bit resolution, 8 digitalI/O lines, and 2 up/down counters of 24-bit resolution. These specifications are enough to meetthe requirements for all the experiments.4 Development of Graphical User InterfaceIt is very important to provide a very good graphical user interface (GUI) for an Internet basedexperimental facility. This is not only needed for providing a user friendly facility but also toattract the student(s) to perform experiments without any supervision and traditional helpprovided during a laboratory class 15. LabVIEW provides a facility to develop a GUI
simple in class exercise is presented for clarity. Students and the instructor will receive the dataand video images from a Flow/Level process for heating and mixing water. The on boardsensors and thermocouples will monitor the temperature, pressure and flow rate in a systematic,sequential fashion (e.g. chronologically at one-second intervals) through the use of a web baseddata management system. The instructor will establish specifications for the process and controllimits based on nature of the process and overall objectives. Using the online data from eachinstrument in the system any process changes, adjustments, and systemic variation labeled as“out of control” condition(s) will be identified. Anticipated outcomes are: 1. Using the “rules
(s), Print Resource Page 8.870.2Materials, Multimedia Resources (if available), Audio Quality, Video Quality,Facilitation Set-up, and Facilitation Follow-up. Written comments are solicited on“Did the videoconference (presentation) meet your intended objectives?”, “Howdid this videoconferencing experience compare to a typical instructionalexperience?”, “What would have improved this presentation?”, “What shouldchange for future videoconferences?”, and “Additional Comments/Suggestions”. Page 8.870.3
courses (i.e. physics and chemistry). Page 8.24.4“Proceedings of the 2003 American Society for Engineering Education Annual Conference & ExpositionCopyright © 2003, American Society for Engineering Education” Table 1. Comparison between courses at the UF and the UCN Number Course UFL Credit Course UCN Credit Lectur Exercis Laborat. Student s s e e Term 1 Gen Ed -- S Social & Behavioral Science 3 General Formation I 8
-699, 1994 Surface Mount International Conference and Exposition, San Jose, CA, August 30 - September 1, 1994. 2. S. A. Ali, R. D. Souza, A. Kumar, “Intelligent Simulation Environment for Printed Circuit Board Assembly,” Page 8.1118.9 Journal of Electronics Manufacturing, v. 9, n. 4, pp. 299-311, 1999. “Proceedings of the 2003 American Society for Engineering Education Annual Conference & Exposition Copyright 2003, American Society for Engineering Education” 3. G. Magyar, M. Johnsson, O. Nevalainen, “On Solving Single Machine Optimization Problems in Electronics
, 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