. Familiarity with electrical componentsand their representation in schematic and wiring diagrams improves as a result of this project.This knowledge will aid in future designs of mechanical systems where measurements areinvolved.Phase IPart AStudents were first introduced to LabView as a software application without a data acquisitioncomponent. Figure 1 shows the associated Virtual Instrument. Figure 1 Phase I Part A Virtual Instrument Front Panel and Block DiagramPart B – Output an AOIn Phase I Part B, students built upon the Virtual Instrument in Part A by adding a NationalInstruments data acquisition module called “the NIDAQ board” (see Figure 2). The updatedblock diagram with the DAQ Assistant is in Figure 3. A multi-meter was used to
Page 25.516.5characteristics of these materials. Load CellExtensometer Test Specimen (a) (b)Figure 1. (a) Schematic view of Tinius-Olsen Tensile Testing machine (b) Metal tensilespecimen recommended by ASTM (Gage length L0= 2.00in, D=.505in)During the testing, T/O machine will apply the load and an extensometer will record thecorresponding elongation during experimentation. The unit will record the load-elongation dataduring the experiment so this data can be plotted once the procedure is complete. Students willgain experience while setting the machine up by installing extensometer sensor and setting testspeed (ex. 0.025 in/min) and
3.2 Preference for a Value 3.1 Acceptance of a Value 2.0 Responding 2.3 Satisfaction in Response 2.2 Willingness to Respond 2.1 Acquiescence in Responding 1.0 Receiving 1.3 Controlled or Selected Attention 1.2 Willingness to Receive 1.1 AwarenessAdapted from Krathwohl, D. R., Bloom, B. S., & Masia, B. B. (1964). Taxonomy of educationalobjectives: The classification of educational goals, Handbook II: Affective Domain. New York:David McKay
authentic, real-worldproblems that small teams of students address. Our approach for this Phase 3 CCLI Project tookthe theoretical framework from mathematics education to create a strategic, scalable approachwhich addressed crucial goals in engineering education. As part of a multi-year and multi-University effort, California Polytechnic State University, San Luis Obispo (Cal Poly) hasdeveloped and tested several MEAs which use experiments (or other physical/hands-onactivities) to enhance student learning within the mechanical engineering curriculum. The threeprimary areas in which we have incorporated hands-on physical activities include a) usinglaboratory experiments to collect data for the models, b) as a method to provide self-assessmentof the
completed the final student perception survey, used as the main metric for this study.Questions resulting in a statistical difference compared to either control or experimental sectionsin 2007 are shown in figures 1 and 2. Fig 1. Final survey examining student perception of course structure in (i) allowing students to conduct self-‐directed inquiry and (ii) facilitator’s ability to allow team to make their own decision, where A, B, and C, and the control, experimental, and revised groups, respectively. The frequency of responses is shown as grayscale bars on a 5 point Likert scale, where ‘‘strongly agree
proceedings and publications. Assessment of Four VARK Styles (Fluid Mechanics) MEDIAN MODE AVG. TOTAL xx STUDENTS # A B C D E F G H I J K L M N . X Y Z RUBRIC
Oscilloscope DSP Board RCI not used Right Line In Right Line Out (RCI) (RCO) Figure 9a Laboratory setup for noise cancellation using a LMS adaptive filter. float b[2]={0.0, 0.587785}; /*Numerical coefficients for the 800 Hz digital oscillator*/ float a[3]={1, -1.618034, 1};/*Denominator coefficients for the digital oscillator*/ float x[2]={5000, 0.0}; /*Set up the input as an impulse function*/ float yy[3]={0.0,0.0,0.}; float xn[20
cost may beamortized by grading savings in several offerings over time of large courses.References[1] Maplesoft, Maple 15 User Guide. Maplesoft, 2011.[2] ——, Maple T.A. 7 User Guide. Maplesoft, 2011.[3] Committee on Developments in the Science of Learning for the Commission on Behavioral and Social Sci- ences and Education, How People Learn, expanded edition ed., J. Bransford, A. Brown, and R. Cocking, Eds. National Research Council, 2000.[4] H. Pashler, P. Bain, B. Bottge, A. Graesser, K. Koedinger, M. McDaniel, and J. Metcalfe, “Organizing instruction and study to improve student learning: A practice guide (ncer 2007-2004).” U.S. Department2012 ASEE Northeast Section Conference
, the cost may beamortized by grading savings in several offerings over time of large courses.References[1] Maplesoft, Maple 15 User Guide. Maplesoft, 2011.[2] ——, Maple T.A. 7 User Guide. Maplesoft, 2011.[3] Committee on Developments in the Science of Learning for the Commission on Behavioral and Social Sci- ences and Education, How People Learn, expanded edition ed., J. Bransford, A. Brown, and R. Cocking, Eds. National Research Council, 2000.[4] H. Pashler, P. Bain, B. Bottge, A. Graesser, K. Koedinger, M. McDaniel, and J. Metcalfe, “Organizing instruction and study to improve student learning: A practice guide (ncer 2007-2004).” U.S. Department2012 ASEE Northeast Section Conference
ork. The estim mates repressent “planneed value” forr a task and aarecompared d with actuaal value that is i accountedd for while trracking prodduction whenn the taskcommencces. The proj oject manageer collects job b tickets from the site thhat show ratee of productiionfor the taask. The dataa tells them if i they are unnder or over budget or ahhead of or behind scheddule.The impo ortance has always a been stressed thaat project maanagers shouuld be aware of how theproject was w estimated d in case anyy changes occcur.Data thatt is proprietaary or that is acquired thrrough a subsscription fee can presentt a barrier
students participating in the tutoring passed the course and all of the participants experienced Page 25.312.7improved performance as a result of this effort. The distribution of grades for participatingstudents was: A(0), B(3), C(2), F(1). The final grade distribution for all students enrolled in thecourse was A(3), B(5), C(5), F(2). The other student failing the class did not attend regularly,had no interest in the tutoring offer and did not take the final. The typical failure rate for thiscourse is between 30% and up to 50%.ConclusionsMaking available laboratory space for students to study in with minimal supervision and havingbasic tutoring
Engineering Mechanics course that agreed to participate in the MentoredLearning Environment met regularly with the tutor for approximately 9 weeks. All but one ofthe students participating in the tutoring passed the course and all of the participants (includingthe student that failed) experienced improved performance as a result of their effort. Oneparticipant asked that the program have mandatory attendance so that family demands to workinstead of study could be thwarted (work to support family vs. study to achieve self-improvement is a common conflict that students in this program have to resolve). Thedistribution of grades for participating students was: A(0), B(3), C(2), F(1). The student thatfailed showed improvement in understanding concepts
programs over the same time period. In the modern age of high-pacedadvancements in technology, applied research is abundantly available and provides anothermeans for traditionally teaching schools to contribute not just to individual student goals but tothe technological advancement of society.REFERENCES:1. Balsley, Ben B., Jensen, Michael L., and Frehlich, Rod G. "The Use of State-of-the-Art Kites for Profiling the Lower Atmosphere." Boundary-Layer Meteorology 87.1 (1998): 1-25. DOI: 10.1023/A:1000812511429ABOUT THE AUTHOR: Jeffrey S. Sumey is an associate professor in the Department of AppliedEngineering and Technology at California University of Pennsylvania. In addition to teaching anddeveloping curricula in CalU's CET, EET, RET and CS
Altera MAX + PLUS II using the schematic design interface, create symbols. Reuse of the symbols created in part a) and designs a 3-to-8 decoder. Verify the truth table using the Altera MAX + PLUS II simulator tool. 6. Flip-flops: part a) Implement a D latch using NAND gates in Altera MAX + PLUS II Page 25.973.6 using schematic design interface, verify their behavior using the simulator, create a symbol for the D latch, part b) implement a Master-Slave flip-flop using the symbol created in part a) and verify the result using the simulator, part c) Verify the truth table of a D flip-flop, edge-triggered
Reflections on Best Practices in Engineering Academic Administration David O. Kazmer1The University of Massachusetts Lowell’s administration has increased dynamism and ambition. Feeling the needfor more personal interaction and making larger contributions, a full professor accepted the position of AssociateDean for the James B. Francis College of Engineering. The primary focus for the position was strategic developmentof academic and research programs, with other assignments in support of day-to-day operations of the College.The new Associate Dean successfully began the position by meeting with all interested faculty and staff regardingtheir perceptions of
schematicof a basic diaphragm based pressure sensordeflecting under an applied pressure [4]. This basictype of pressure sensor can be produced using avariety of different geometries for the diaphragm.The two most common are square and circulardiaphragms. It is important to know the locations of Figure 1 Example of a pressure sensor withthe maximum stress and the point of failure. piezoresistors oriented in both the transverse Page 25.386.3Equations 1 and 2 can be used to determine the and longitudinal directions from (a) top and (b) section views [4
sustainability. AfterThe combined efforts of the team members eventually yielded the working prototype converter presentation of the converter at the P3 Expo in Washington, D.C., the team wasshown in the photo to the right. The scope shots below show: Figure A, the performance of the awarded an honorable mention for its potential long-term impact in the area of energysystem when the dc load equals to 100 W and the ac load is stepped-up from 60 W to 120 W and efficiency.then is stepped down to 60 W. Figure B, the performance of the system when ac load equals to60 W and
a lathe (smooth end) and the other end cut with a torch (rough end).Figure 1 shows each of these two ends.The rod was drilled with five equally spaced temperature wells (1/8 inch diameter) to allow a K-type thermocouple to measure centerline temperature of the rod. One end of the rod was placed Page 25.15.6in contact with a bronze plate resting on a hot plate. Figure 2 shows this experimental setup.After the five thermocouple well temperatures were measured and the base plate temperaturecollected, the rod was flipped over and the temperature measurements repeated. Figure 1: a) smooth end of the rod; b) rough end of the rod
operation will run continuously until the push button is released.”4.2 Hardwired Ladder Logic Programming “In this project, you may use either limit switches or proximity sensors to wire your electrical circuit. Please design and implement a hardwired ladder diagram to perform the following tasks: a. An NO push button (which will be immediately opened when released) is to start the operation and extend Cylinder A at an adjustable speed when Cylinder B is in the retract position, which is sensed by a proximity sensor Pr3. b. Cylinder B starts to move forward slowly when Cylinder A is fully extended and is sensed by a proximity sensor Pr1
response was tochange the game. I continued to give alternate versions (A and B), but I copied half of eachversion on different colored paper (say white and yellow). I continued to alternate versions ofthe exam, but one row would have white A/yellow B and the adjacent row would have yellowA/white B. By sometimes doing the usual use of color and sometimes using this modified use ofcolor and sometimes having different versions on a single color of paper, I began catchingstudents cheating regularly.More Recent StoriesWhen one brings up the topic of cheating, first thoughts generally run to cheating on exams. Forclosed-book exams, some students spend more time figuring out how to bring in extra notes tothe exam than they spend studying for the exam
based on the variety in their ideas and theimpact of heuristics in their creation. For section A, we chose three males and two females. Forsection B, all five participants were female because this section was predominantly female. Also,the section was subdivided into different design projects, so the number of students working onthe same design task further limited our participant selection.Data CollectionData for each section of the introductory engineering course were collected during a regularlyscheduled class session that took place about one third of the way into the course, after studentshad completed lessons about foundational technical knowledge related to the design project. Thestructure of the Design Heuristics training was the same
Page 25.587.7attitude towards math and science would be better prepared from the problems encountered inrobotics club. Figure 5 - Survey questions gauging the attitudes on math and science. Page 25.587.8 a) Hypothesis # 1 Results b) Hypothesis # 2 Results c) Hypothesis # 3 Results d) Hypothesis # 4 ResultsFigure 6(a-d) - Results from the testing the Hypotheses described in section Retention Results. The two sets of students, retained and not retained, were found to be similar given the metrics for a)reasons to join, b)self confidence in the
Page 25.1009.2for them. Students can do all the homework from any location as long as they have access tocomputer.(b)-A student can learn at his or her own pace.(c)- Degrees can be completed in less time compared to traditional universities.(d)- Students have fewer distractions, and it can be less intimidating to participate in thediscussions.(e)-Students have the opportunity to connect with and work alongside students from otherlocations.Cons(a)-Students who have trouble managing their time may find it difficult.(b)-Lack of interaction personally with other students and the instructor.(c)-Technology and/or technology issues may be a barrier for some students2- Limitations of the onsite teaching of senior projectsSenior projects often consist
Page 25.1066.3cells, study of characteristics of wind turbines, data acquisition system to obtain data of voltage,current and power, electric power distribution and smart grid. Main types of circuits includeseries circuit, parallel circuit and series-parallel circuit were introduced. After the basic conceptsof electric circuit were studied, the participants examine the basic characteristics of solar powerand wind power.Problem Based Learning Based on the goal and objectives, a problem is defined. Two participants formed a groupto work collaboratively. Each group designed and implemented a solar powered warning light.The following parts were provided: 1. Solar energy kit a. solar panel b. solar charge controller
projects described, a community in BuniaduVillage approached some of the UTG students looking for help powering their mosque. A groupof students went out to the site and designed a complete PV system meeting the mosque’s needs.The community covered the costs of all the required equipment. On installation everythingworked and was still working perfectly to date. Our hope is that this is just a small example ofwhat might be possible with the collaborative, locally funded, approach outlined here.Works Cited 1. Oakes, W. Creating Effective and Efficient Learning Experiences While Addressing The Needs Of The Poor: An Overview of Service-Learning in Engineering Education. American Society for Engineering Education, 2009. 2. Fikkert, B.; Corbet, S
, really? Why is that?” “Because you’re good at math and science, and that’s a field of study that would utilize those math and science skills”. ~StephenDiane shared some of her conversations with her grandfather about her dreams of wanting tostudy Nuclear Engineering. She stated that he had an Aeronautical Engineering degree. I sat down with my grandpa and we’re talking about what I want to be. And he graduated from [University B] with an aeronautical degree in engineering. … He actually helped work on one of the first planes to reach Mach speed. And telling me about that, how his work was secret, it was oh so interesting. ~DianeDiscussion and ConclusionWhereas the literature indicates that low-SES first
headings, sub-headings, and bold text to guide the reviewers. There are many books and resources on writingtips available for technical writers24, but the main message is that text must be clear, simple, andordered, with a minimum of jargon, and effective judicious use of figures and tables. Table 3. National Science Foundation and National Institutes of Health proposal templates, with corresponding similar sections listed across from each other. NSF Proposal Template19, 20 NIH Proposal Template21, 22 Cover Sheet (II.C.2.a*) Cover Letter Project Summary (II.C.2.b*) Abstract Project Description (II.C.2.d*) Project Narrative
itsdevelopment a critical need.References1. Obama, B. (Office of the President of the United States, Washington, D.C., 2011).2. Ferguson, D.M. & Ohland, M. What is Engineering Innovativeness? International Journal of Engineering Education in press (2011).3. Cohen, D. & Crabtree, B. (Robert Wood Johnson Foundation, Princeton, NJ 08543, 2008).4. Strauss, A. & Corbin, J. Basics of qualitative research: Techniques and procedures for developing grounded theory (2nd ed.) (Sage Publications, Thousand Oaks, CA, 1998).5. Patton, M.Q. (Sage Publications, Thousand Oaks, CA, 2002).6. Ferrari, A., Cachia, R. & Punie, Y. Innovation and Creativity in Education and Training in the EU Member States
, Technology and Society. 2006;2.12. Bhatia S, Smith JL. Bridging the gap between engineering and the global world: A case study of the coconut (coir) fiber industry in Kerala, India. Synthesis Lectures on Engineering, Technology and Society. 2008;6.13. Reid K, Estell JK. Incorporation of Poverty Alleviation in Third World Countries in a First-Year Engineering Capstone Course. International Journal of Engineering Education. 2011;27(6):1273-1280.14. Moskal B, Gosink J. Humanitarian Engineering curriculum: Defining student learning outcomes. Paper presented at: ASEE Annual Conference and Exhibition; 24-27 June, 2007; Honolulu, HI.15. Crewe E, Harrison E. Whose development?: an ethnography of aid. London: Zed Books
by S. Brown and A. Glasner, 1999 (Society for Research into Higher Education/Open University Press: Buckingham). 7. Goodman, C. Cunningham, C. Lachapelle, M. Thompson, K. Bittinger, R. Brennan, and M. Delci. FINAL REPORT OF THE WOMEN’S EXPERIENCES INCOLLEGE ENGINEERING (WECE)PROJECT. April 2002. http://www.grginc.com/WECE_FINAL_REPORT.pdf 8. G. Lichtenstein, H. Loshbaugh, B. Claar, B. Chen, S. Sheppard, and K. Jackson, An engineering major does not (necessarily) an engineer make: career decision-making among undergraduate engineers, Journal of Engineering Education, 2009. 9. L. O’Moore and T. Baldock. Peer Assessment Learning Sessions (PALS): an innovative feedback technique for