Page 23.798.8 b. Impulse delivered using experimental test data from a typical A8-3 Estes rocket motor [obtained in the senior thermodynamics course – described below]; and5. Determination of model prediction sensitivity to assumptions regarding rocket payload weight including: a. Assuming constant rocket weight, or b. Accounting for mass fuel burnFor their baseline model, students assume constant rocket mass and constant step input (squarepulse) thrust for the rocket. Using Newton’s second law, the governing differential equation is dv m T W FD v (2) dtwhere m is
Institute of Standards and Technology (NIST) Office ofWeights and Measures (OWM) - has been providing train the trainer and adult education coursesand opportunities to our subject matter experts to help them better analyze, design, develop,implement, and evaluate our technical training content. The goal has been to enable students toachieve a higher level of cognition on the Bloom’s Taxonomy scale (e.g., application versusknowledge). Highlights of the key resources that have been incorporated into the instructionaldesign process are presented as potentially useful for the professional development of instructorsthis is particularly useful for instructors without a background in educational theories andmodels. Some highlights of instructional design
Castor Level Adjustment ScrewFigure 1. Setup for the “Torsion Experiment” Using “Optical Measurement System” aτ = T.r / J (1) 2φ 1 2φ = Tan― ( b/ a)φ = T.L / G.J (2) c b Where: τ = Shear Stress, T= Torque, J = Polar Moment of Inertia, r = radius of the round bar, φ
, 2006.[8] Morton, T., Embedded Microcontrollers, Prentice Hall, 2001.[9] Freescale SLK user manuals, Freescale Semiconductors, 2005. Page 22.1230.13[10] MC9S12C128 Data Sheet, Rev. 1.16, Freescale Semiconductors, Oct. 2005.[11] S12CPUV2 Reference Manual, Rev. 0, Freescale Semiconductors, July 2000.[12] Lynch, J.M., and E. Larios, Class Project Report: Swinging Pendulum Acceleration Measurement, Univ. ofNorth Florida, July 29, 2009.[13] Cooke, B., and N. Watt, Class Project Report: Hitachi HM55B Digital Compass, Univ. of North Florida, July30, 2009.Biographical informationDr. Choi is a Professor in the Department of Electrical
largerpopulation. The steps for the research method are depicted in Figure 1. Qual. Data Quant. Data Qual. & Qualitative Survey Collection Collection Quant. Claims Hypotheses (Phases 1&2) (Phases 1&2) Findings Figure 1: General research methods strategyFirst, two phases of qualitative research methods were employed. The first phase, a collection ofopen-ended questionnaire responses, assessed (a) the educational gains of EWB-USA membersand (b) descriptions
erroroccurs in critical programs, it can be tragic and extremely expensive. Examples of measurementerrors in the news are the Hubble Telescope which had incorrect dimensions used in its lensconstruction. This was not discovered until Hubble was released into space. Later, the lens wascorrected to make Hubble useful for its intended purpose. Figure 3 shows tragic results ofcalibration error. The impact of a false accept may not be felt until after the end-item is in service. B-2A, T/N 89-0127 Anderson AFB, Guam 23 February 2008
. ASEE Annual Conference Proceedings. Available: http://www.asee.org/conferences/search/01067_2001.PDF22 Hall, T. M. (2000). Using software for electronics engineering technology laboratory instruction. ASEE Annual Conference Proceedings. Available: http://www.asee.org/conferences/search/20674.pdf23 Flores, B. C., & Fabela, R. J. (2002). A concept inventory to probe student understanding of basic electronics. ASEE Annual Conference Proceedings. Available: http://www.asee.org/conferences/caps/document/2002-1889_Paper.pdf24 Seymour, E., Wiese, D. J., Hunter, A., & Daffinrud, S. (2000). Creating a Better Mousetrap: On-line Student Assessment of their Learning Gains. Paper originally presented to the National
(Unpublished manuscript). 1993, Syracuse University: Syracuse, New York. 39. Leuf, B. and W. Cunningham, The wiki way: Collaboration and sharing on the internet. . 2001. 40. Auyung, L., Building a collaborative online learning community: a case study in hong kong. Journal of Educational Computing Research, 2004 31(2): p. 119-‐136. 41. Jonassen, D., et al., eds. Learning to solve problems with technology: A Constructivist Perspective (2nd ed.). 2003: Upper Saddle River, New Jersey: Merrill. 42. Wial, H. and A. Friedhoff, Bearing the Brunt: Manufacturing Job Loss in the Great Lakes Region, 1995–2005, in Metro
engineering program to electronics classes and embedded systems classes. Furtherwork is also planned in Computer Science to expand and extend these laboratories to on-lineclasses. Page 23.757.12Bibliography[1] Jeff Tjiputra (University of Maryland University College, US) “Hands-on Lab Projects in an Online IT Course: Virtualization or Simulation?” Sloan-C International Conference on Online Learning. November 2011, Orlando, FL.[2] Giambattista, A., Richardson, B., and Richardson, R. (2004) College Physics: Virtual Circuit Lab, McGraw-Hill Higher Education. Retrieved on 12/02/2012 fromhttp://highered.mcgraw- hill.com/sites/0070524076
] A. Abdreatos and A. Zagorianos. “Matlab GUI applications for teaching control systems,” 6 th WSEASinternational Conference on Engineering Education, pp. 208-211, 2009[7] B. Venkatalakshmi, R. Balakrishnan, V. Saravanan, and A. Renold. “Impact of simulation softwares as teachingtools in engineering learning – An instructional design choice,” 2016 IEEE Global Engineering EducationConference, pp. 868 -873, 2016
, the natrual log is used on both sides of the power law, to get a linear equation: ln(Q ) ln(C ) n. ln(P)The relations used to determine both C and n are: Y a. X b a ln(C ) C e a bn Y ln(Q ) X ln( P )The purpose of this lab was to provide the experiments basis for air infiltration or exfiltration of thebuilding 1. The recorded pressure differentials between inside and outside as well as the blower air-flowrates were recorded by varying the blower speed using a speed controller. This
process plan and process knowledge in machining and robotics operations. (3) A comprehensive assessment and evaluation plan will be presented, contemplating several quantitative and qualitative measurements used as feeders for necessary Page 24.421.3 calibration and adjustment of the different components of the project. Evaluation of this 1 project is guided by five foundational evaluation questions, designed to focus data collection and analysis on a) the project’s stated objectives and outcomes, b) broader
AC 2009-2390: MAINTAINING THE SCIENCE AND ENGINEERING PIPELINEDouglas Sugg, United States NavyBruce Galloway, United States NavyJohn Fishell, STEP Page 14.856.1© American Society for Engineering Education, 2009 Maintaining the Scientist and Engineering PipelineAbstract:Technology is advancing at an ever increasingly rapid pace. This is particularly true in theDepartment of Defense (DoD). Test and Measurement Systems (TAMS) require a continuedinflux of scientists and engineers properly trained to advance the TAMS support structures fornew and advanced technology applications while maintaining existing support structures forcurrent equipment. The demand for
Page 24.1315.6Figure 2: Consolidated data from 3 focus group sessions5. Future WorkUser studies and the design of the IMODTM system is still ongoing, and will be further describedin future publications. The next steps will include more focus groups and further analysis of thedata collected. We will also conduct user interviews which will consist of: a) an ethnographic-style observation of an interviewee doing his or her own curriculum design activities while weobserve him or her; and b) follow-up with open and close-ended questions for further clarificationof the observations.AcknowledgmentsThe authors gratefully acknowledge the support for this project under the National ScienceFoundation's Transforming Undergraduate Education in Science
. Pintrich P.R. (2000) Multiple goals, multiple pathways: The role of goal orientation in learning and achievement. Journal of Educational Psychology [Internet]. American Psychological Association. 92(3):544–55.4. Husman J. & Lens W. (1999) The role of the future in student motivation. Educational Psychologist. Taylor & Francis. 34(2):113–25.5. Markus H. & Nurius P. (1986) Possible selves. American Psychologist, 41(9), 954–969. doi:10.1037//0003- Page 24.261.7 066X.41.9.954 CAREER: Student Motivation and Learning in Engineering6. Kirn A., Morkos B. & Benson L. (2012) Work in Progress: How Differences
theinterdisciplinary nature of those processes.IntroductionIn a fast changing industrial environment, educational laboratory activities need to keep pacewith new and emerging technologies that are implemented, in order to provide students with therequired skills consistent with the newest technologies available. Real life industrial settings areoften too expensive and complex to implement at laboratory level. The fundamental challengingproblems in manufacturing education are related to: (a) Improving the student–instructionaltechnologies interface to incorporate the required learning tools; (b) Improving teaching andlearning effectiveness. On the other hand, the advancement of increasing efficiency and reducingthe cost of manufacturing is contingent on
in practice – you are forced to really think about the material and how itall fits together”Student B - "I almost always learn more completely when I do something as opposed to when someoneinstructs me. I believe relevant hands-on experience is much more effective than theory by itself.Struggling with a project makes me think harder and pursue other possible approaches to solving theproblem. Project work forces me to learn the material to complete the assignment. This is notnecessarily the case with homework problems taken from a book. When pressed for time, it is easy tocopy the steps from examples and finish the assignment without understanding the problems. As astudent, the ultimate goal is to learn the material so I can apply it once I
AC 2007-2564: AN ARCHITECTURE FOR REAL-TIME REMOTELABORATORIESYaoye Li, Stevens Institute of Technology Mr. Yoaye Li received his B.E. and M.S. degrees in Mechanical Manufacturing from Beihang University in 1996 and 1999, respectively. Currently, he is a pursuing a Ph.D. degree in Mechanical Engineering at Stevens Institute of Technology in Hoboken, New Jersey. His research interests include intelligent systems for design and manufacturing as well as remote experimentation.Sven Esche, Stevens Institute of Technology Dr. Sven K. Esche is currently holding a position as Associate Professor of Mechanical Engineering at Stevens Institute of Technology in Hoboken, New Jersey, USA. In 1989
answer, which prevents them from exhibiting high-level data analysis skills. Based on the results of this work, interventions are being developed togive students practice with explaining data processing, and additional exposure to open-endedproblems.IntroductionLaboratory experiments have long been an essential part of the engineering experience1. ABETstudent outcome (b) specifically requires students to develop “an ability to design and conductexperiments, as well as to analyze and interpret data”. Other outcomes emphasize teamwork,communication, and skill building, all of which can be effectively taught in a lab environment.2The benefits of lab work include learning hands on practical skills, observation and deductionskills, and how to connect
Participation in Research - High Emphasis - Medium Emphasis - Low Emphasis Undergraduate Activities (see list below) Example Research Projects a b c d e f g h i (1) Engineering properties of wastes (2) Bio-gas generation from algae biomass (3) Thermal regime of landfills (4) Corrugated fiberboard recycling (5) Phytoremediation field and
2006-1739: DEVELOPMENT AND ASSESSMENT OF INTERACTIVESPREADSHEET SOFTWARE FOR THE TEACHING OF SEMICONDUCTORDEVICE THEORYRamachandran Venkatasubramanian, Arizona State University RAMACHANDRAN VENKATASUBRAMANIAN recently graduated with an M.S. degree in Electrical Engineering from Arizona State University. He received his B.E. (Hons.) in Electrical and Electronics Engineering from Birla Institute of Technology and Science, Pilani, India. His research interests are in mixed-signal circuit design, computer architecture, semiconductor devices and software development for interactive semiconductor education.Guillermo G. Mendez, Arizona State University GUILLERMO G. MENDEZ is a M.S. student in the Mathematics
USD, teaching primarily in the areas of analog circuits and electronics, communication systems, electromagnetic fields, and engineernig design. He and Dr. Thomas Schubert are co-authors of the electronics text, Active and Non-Linear Electronics. Dr. Kim is a Registered Professional Engineer (EE) in the State of California.Dr. Thomas F. Schubert Jr. P.E., University of San Diego Thomas F. Schubert, Jr. received his B.S., M.S., and Ph.D. degrees in Electrical Engineering from the University of California, Irvine, Irvine CA. He is currently Professor of Electrical Engineering at the Uni- versity of San Diego, San Diego, CA, and came there as a founding member of the engineering faculty in 1987. He previously served on
students.The paper is organized as follows. Section 2 presents the CPBL-beyond-Classrooms pedagogicalmodel, analyzes its unique features, and summarizes effective implementation strategiesdeveloped throughout the project duration. Section 3 provides a concrete example to show howto incorporate CPBL beyond-classroom into networking courses at senior level. The results oflongitudinal study based on multi-year assessment data are presented in Section 4, and Section 5concludes the paper. B. CPBL-beyond-ClassroomB.1 Unique Pedagogical FeaturesAs mentioned above, CPBL-beyond-Classroom can be viewed as an extended pedagogic modelbased on CPBL. While both models utilize well-designed project sequences to build up students’knowledge and skills progressively
“sage on the stage.”The LITEE team has developed videos and instructor manuals that illustrate how this changehappens. Professional development activities that inform engineering educators about thesematerials are essential to encourage them to change the role they play in the classroom.(b) Hands-on Analysis of a Case Study: Instructors need to be able to learn new instructionalmethodologies without being intimidated. The LITEE workshops provide an ideal mechanismfor faculty to work together and perform a hands-on analysis of a case study.(c) Recognition for Implementing Case Studies in Classrooms: The implementation of casestudies in a classroom requires a major investment of time and effort from faculty members, whoare used to traditional
very enjoyable and the video gave all the information we as agroup needed. As for the feedback, I thought they were very informative and showed meexactly where I went wrong. The fact they gave you the correct result and your result wasbrilliant as it shows how badly off I was on some of them! I did learn a fair bit from the lab,for one be sure to read what format the dimensions are to be given in. Lost out on about 20%because of my eagerness to get it done! Oh well, ce la vie!.”Student B. “Overall though I thought it was a great experience. The fact they leave it up toyou to get the work done and don't spoon feed you everything you need to know.”Student C "I think this form of assessment is excellent!"There were, of course, some contradictory
sources in a typical HEV subject to driving conditions [15] (a) BEV (b) Series HEV (c) Parallel HEV Page 22.526.4 Figure 2. Typical layouts of electric-drive vehicles [16]The developed bench unit is capable of demonstrating the features of electric propulsion systemsof BEV and series HEV. This includes charge-depleting mode of BEV that vehicle is moved onelectric power alone until its battery State Of Charge (SOC) is depleted to a predetermined level.The charge-sustaining mode is also demonstrated in the
to apply knowledge of mathematics, science, and engineering (b) an ability to design and conduct experiments, as well as to analyze and interpret data (c) an ability to design a system, component, or process to meet desired needs within realistic constraints such as economic, environmental, social, political, ethical, health and safety, manufacturability, and sustainability (e) an ability to identify, formulate, and solve engineering problems (k) an ability to use the techniques, skills, and modern engineering tools necessary for engineering practice.The student outcomes grouped under the professional component address non-technicalcompetencies that are vital to engineering practice. These are
Department. This four-credit hour, juniorlevel course contains six laboratory experiments as follows: Operating point of a battery powered sweeper - apparatus was custom made; Free and forced vibration analyses of a single degree-of-freedom system using a TM16apparatus from TQ Education and Training Ltd.1; Static and dynamic balancing of rotating masses using a TM102 apparatus from TQEducation and Training Ltd.2; Flexible rotor dynamics experiment - apparatus was custom made as senior-design project; Experimental analysis of a cam follower mechanism - apparatus was custom made as asenior-design project3 and retrofitted to work with LabVIEW4 data acquisition software
2006-850: FEASIBILITY OF TOTALLY DISTANCE-ORIENTED EET/CETPROGRAMSPeter Schuyler, University of Hartford Dr.Schuyler is an Assistant Professor in the Electrical & Computer Engineering Department, University of Hartford.He as a BS in Bioengineering & an MS and CAS in Electrical Engineering from Syracuse University, and an Ed.D from the University of Massacusetts. He has served as the Department chair, and Assistant Dean while at the University of Hartford.Tom Eppes, University of Hartford TOM EPPES is an Assistant Professor in the Electrical & Computer Engineering Department, University of Hartford. He holds BSEE and MSEE degrees from Texas A&M University and a PhD in EE from
AC 2011-2416: MICROWAVE PLASMA CLEANER DESIGN FOR SEMI-CONDUCTOR FABRICATION AND MATERIALS PROCESSING LABO-RATORY USEMustafa G. Guvench, University of Southern Maine Mustafa G. Guvench received M.S. and Ph.D. degrees in Electrical Engineering and Applied Physics from Case Western Reserve University. He is currently a full professor of Electrical Engineering at the University of Southern Maine. Prior to joining U.S.M. he served on the faculties of the University of Pittsburgh and M.E.T.U., Ankara, Turkey. His research interests and publications span the field of mi- croelectronics including I.C. design, MEMS and semiconductor technology and its application in sensor development, finite element and analytical modeling