Paper ID #6095Development of a Senior Mechatronics Course for Mechanical EngineeringStudentProf. John G. Cherng P.E., University of Michigan-Dearborn Received M.S and Ph. D. degrees from Mehanical and Aerospace Engineering, University of Tennessee, Knoxviell, Tennessee in 1975 and 1978 repectively. Teaching undergraduate and graduate courses in heat transfer, instrumentation, mechatronics, turbomachinery, vibrations and acoustics. Research interests inculde turbomachinery, vibration and acoustics, and nano materials.Dr. Ben Q. Li, University of Michigan, DearbornDr. Narasimhamurthi Natarajan, University of Michigan, Dearborn
Paper ID #6375Using Mixed Mobile Computing Devices for Real-Time Formative Assess-mentProf. Frank V Kowalski, Colorado School of Mines Prof. Frank Kowalski has been teaching physics at Colorado School of Mines since 1980.Susan E. Kowalski, Colorado School of Mines Susan Kowalski is project coordinator at Colorado School of Mines.Dr. Tracy Q Gardner, Colorado School of Mines Page 23.1328.1 c American Society for Engineering Education, 2013 Using Mixed Mobile Computing Devices for
humanitarian endeavors. He founded and currently serves as CEO and President of LIMBS International (LIMBS.org) a non-profit entity which develops low-cost pros- thetic devices for under-developed areas of the world. Gonzalez has worked with students in Africa, Asia, Europe, Australia, and Latin and South America on various international engineering research and hu- manitarian projects. He also has been awarded the American Society of Engineering Educators Teaching Award and the Minnie Stevens Piper Foundation Award as a Texas Piper Professor of 2008. He also serves as an engineering program evaluator for ABET (Accrediting Board for Engineering and Technology).Ms. Elsa Q. Villa, University of Texas, El PasoDr. Peter Golding
methodologies. In this paper is the extended of ourlaboratory 4 in Linear Circuit course at the U.S. Coast Guard Academy.The current paper presents some of the successful design and compensation techniques from onelaboratory in a junior-level Linear Circuits class that reinforces student learning about finitegain-bandwidth product limitations. Students learn graphical technique in the classroom thatpredicts the impact of Gain-Bandwidth Product limitation of a µA741op-amp.In this lab, students are asked to design two Sallen-Key second order low pass sections, using aµA741op-amp, in order to meet two specific resonant frequencies. In their first design( f o = 72.3 kHz and Q = 2) , students typically fall short of the desired resonant frequency by15% or
. 2) Draw the normal probability plots to show whether the grades are from the normal distribution. If the sample is normal, the plot will be approximately linear. Other distribution types will introduce strong nonlinearity in the plots. 3) Draw the quantile-quantile (Q-Q) plot to show whether the two grade samples come from the same unknown distribution. If the two samples do come from the same unknown distribution, the plot will be linear. 4) Use the Shapiro-Wilk test to see if the two grade samples are both from the normal distribution family. If both samples are from the normal distribution family, the F-test and the t-test are further used to see if the
were designed to assess student learning andthe effectiveness of the new course design. In order to evaluate the student background inLLL (step 1), a survey was administered at the beginning of the semester. A copy of thesurvey is presented in Table 1. Page 23.223.4Table 1. Survey questions used to evaluate the student background and understanding of Life-long learning. Q-1 From the following four options, select the one that describe your personal knowledge of the concept of “Life-long learning”? A. Extensive B. Moderate C. Limited D.No idea Q-2
2 1 0 0 1 2 3 4 5 1 2 3 4 5 Student response Student response Figure 1. Responses to Q. 1 INL Wind Figure 2. Responses to Q. 2 INL Wind 12 8 10 Student count Student count 6 8 6 4 4
that is known to have properties such as being symmetrical (no skew) and kurtosis (clustering near the tails of the distribution) of zero. Examining normal Q-Q plots gives an indication of normality. Freidman’s ANOVA is a non-parametric test of whether more than two related groups differ that could compensate for non-normality. However, there are only two treatment groups in this study, so it cannot be performed if the assumption of normality is violated. Page 23.731.9INCORPORATING ENGINEERING IN MIDDLE SCHOOL SCIENCE 9 3. Homogeneity of variance is the
Confirmation CE1: Failure to clarify body in equilibrium Q-1,3,17,18,19 Moderate CE2: Failure to treat parts as single system Q-1,3,4,5,14,15, 17,18,19 Weak CE3: Leaving force off FBD Q-1,3,14,15,17,18,19 No Evidence CE4: Including internal force in FBD Q-1,3 Strong CE5: Including non-acting force in FBD Q-1,3 Strong CE6: Failure to account for force pair between separated bodies Q-4,5,7,8 Moderate CE7: Couple between bodies Q-7,8,27 No
the optical receiver. To evaluate the performance of the system, expensive equipment such as psudo-random binary sequence (PRBS) generator and bit-error-rate (BER) tester are required. When these equipment are not readily available, simulation software often provides an alternative way of studying the fiber optic communication systems. In this course, OptiPerformer was selected to study the performance of fiber optic communication systems 4. This category includes two activities: a. OptiPerformer #1: The objective of this activity is to study the bit-error-rate (BER)and Q-factor. The BER is a key performance parameter of the optical communication system.It is defined as the probability of a bit being incorrectly identified by
can be guided to acareer in STEM disciplines. Also, the camp activities were expanded to include some of theengineering projects in CNC machine and SolidWorks CAD software.Summer Camp EvaluationsThe following two figures (Fig 7 and 8) show students’ evaluations of the 2011 and 2012summer camps. Pre-Survey Post-Survey Q 1. Computer is fun Q 2. Computing is hard Q 3. I am good at computing Q 4. I like computing Q 5. I know more than my friends about computing Q 6. I can become good at computing Q 7. I like the challenge of computing
Page 23.716.5understanding of the problem as they have described it. Table 1 also shows the specificcollaborative aspects present during this phase of the model. Table 1. Stage 1, Phase 2 of the CCMQuestions for Problem Formulation (Stage 1) Example of the internal structure of the CCMPreliminary Mental Model (Phase 2): for Stage 1, phase 2. Collaborative Modality: Q: What are the goals of the system? message board for Problem Understanding Q: Do any of these goals require clarification? Collaborative Processes: Q: Are there any other explicit or implicit pull and push information from the
){ // displays hex integer as decimal to lcd int valcopy; // abbreviations: R. = remainder, Q. = quotient char dig[5] = {0}; // storage for R.'s int i = 0; // index into array called dig[ ] if(val == 0) lcd_putchar('0'); // statements below do nothing if val==0 if(val < 0){ val = ((~val)+1); // get hex magnitude if negative and... lcd_putchar('-'); // ...display minus sign in front } Page 23.263.13 valcopy = val; // successive /10 to generate R.'s while(val){ // keep looping until Q. drops to 0 val /= 10; // 1st Q., next Q., etc. dig[i++] = (char)(valcopy % 10); // 1st R., store it, next R.. etc. valcopy = val; // copy of
of impacts dialoguesStrategiesAdvocates /Allies Male Faculty Gender Equity M M M M M M M M MgroupsFaculty Advancement Lectures and Panels Q Q
/2003 – 05/2003), University of Minnesota, Department of Geology and Geophysics • Research/Teaching Assistant (07/1998 – 02/2000), Nanjing University, Department of Earth Science, China • Construction Engineer and Geotechnical En- gineer (06/1994 – 06/1998) Nanjing Construction Company, China PUBLICATIONS Book Chapter Sediment pollution, Handbook of Hydrology, 2012 Journal paper 1. Qian, Q., Voller, V. and Stefan, H., 2010, Can the ”dispersion tensor model” for solute exchange in the sediment bed of a stream or lake be simplified? Advances in Water Resources 33 (2010) 1542–1550. DOI:10.1016/j.advwatres.2010.09.001 2. Qian, Q., Voller, V. and Stefan, H., 2009, Mod- eling of vertical solute dispersion in a sediment
specific course learning objective. The student assigns one ifhe/she strongly agrees with the statement and 5 if he/she strongly disagrees. It may be noted thatthe developed method can be used not only for evaluating student outcome f but also the courseitself. Table 3: ETME 1300: Computer Graphics - Assessment Method (Mapping) P Direct Assessment Learning ri Indirect Objectives/ m Assessment/ Remarks Student a Q Q Q Q Q Survey
parents tendto have smaller numbers of children, assume that the birth rate a is reduced by 5 percent. Hint: Problem 6 can be done by using solution tool for (5) in two steps: First, work withthe current population, birth and death rates to find Spain's population four years from now. Readoff this population as best you can from the graph and use it as the new value for P0. Also findthe modified values of a and b to calculate the population change over the next four years. Page 23.1333.7 Project 2: Electrical LRC Series CircuitsThe charge q(t) as a function of t in an electrical LRC series circuit, see Figure 2
through each branch in m3 /s. Analysis: For each pipe: 4 Q Flow rate and velocity: Q = VA ⇒ V = [m/s] (1) π D2 ρV D Re = (2) µ 1 ε 2.51 For turbulent flow 0.5 = −2.0 log + (3) f 3.7D Re · f 0.5
best practice videos.Assignments/examinations category included lecture discussion questions, homeworkassignments, term project, live-synchronous project or assignment presentations, online quizzes,take-home exams, and proctored exams. Communication category included email, phone, onlinechat, Q/A discussion forums, surveys, calendar of events. Starting a class category included selfintroductions and confirming understanding of syllabus, and finally tracking of online activitiesincluded tracking of detailed online presence of the students as logged in the learningmanagement system. Page 23.946.4Best Practice Category Techniques/Best
Page 23.1274.12electronics practices. At the end of the course, a survey was conducted among all the enrolledstudents (64 students) in that subject. The survey encompassed questions in terms of learningoutcomes, sense of reality, and performance. The survey results are shown in Table 2. Table 2. Survey on VISIR Deployment at UNED (2010/2011). Score Average Question (out of 5) (%) Feasibility Q.1. It helped me to understand the subject contents? 3.76
Page 23.931.9students’ feedback to further improve the effectiveness in future offerings of this course. 9 TABLE V S TUDENT S URVEY Q UESTIONS AND R ESULTS - L ECTURE P ORTION Question Yes No Additional Comments The program overview presentation by our 33 0 - This may be offered earlier in this course. EET Coordinator is helpful (100%) (0
posting publicly the “self-recorded” student questions onto YouTube, and theUGA instructor would upload his responses via the UGA-CMS as just another Camtasiaclassroom recording. It was very interesting to note that the students were very much relaxedand let their personalities shine through these “public” YouTube videos while they weremuch more reserved during the “synchronous” session with the UGA instructor. So theYouTube approach worked, but the Q&A sessions had become “asynchronous” and “on-demand”. In Fall 2012, the NTU course was scheduled such that it started at 2 AM local UStime, thus we had no choice but to use the YouTube approach for that semester, and mostdefinitely for all future collaborations.B) Students Learning Assessment
to problems/ Sensitivity to problems -‐ awareness Tolerance of ambiguity Po-‐F-‐Q-‐Pd-‐I Divergent Ability to produce and Fluency / good research Divergent thinking -‐ thinking consider many management and skills alternatives Po-‐F-‐Q-‐Pd-‐I Convergent Ability to put ideas into Cognition/memory/ Convergent thinking Analysis and intuition
1st Class 8th Class 3 2 1 A B C D E F G H I J K L M N O P Q R S T U V StudentFigure 7. Reviewer 1 scores of the sketches of the pipe fitting drawn in the first and eighthclasses (1= poor, 7=excellent). Scores for 15 students improved (green), 3 decreased (red), and 4stayed the same. 7 6 5 1st Class Score 4 8th
-circuit method”, the “look-up table method” and the “curve-fitting method”. These methods arebased on the data which show the characteristics of the PV panel at different environmental andworking conditions. The direct methods include “artificial intelligence method”, “differentiationmethod”, “P&Q method”, and so on. The direct methods are more robust i.e. prior knowledge ofthe PV parameters is not required. However, voltage or current measurement and a feedbackloop are necessary for the converter control circuit 2. Page 23.655.4Figure 3 shows the schematic diagram of photovoltaic system with MPPT controller. The PVmodule and the dc bus are
students. The second videowas a lecture on the “Design of Proportional plus Derivative (PD) Controllers” in a senior level“Introduction to Control Systems” course. And there are typically 15 students in “Introductionto Control Systems”. The “Introduction to Engineering” lecture was shown to students at thebeginning of the class. Even though the video lecture covered the same slides containing thesame information which was presented in a normal lecture on this subject, the video lecture tookless time to view, allowing time for a Q&A session and comments from students.For the second video lecture, students were given a copy of the video to view at theirconvenience, at a time and place of their own choosing and in a setting of their own choosing
(based on result of pretest on learning objectives with confidence declarations). 4. Content – Why?13 a. Describe motivations for the new topic9,16 i. Describe a problem that is difficult to answer without new topic ii. Describe an application enabled thanks to the new topic, and importance / societal impact of application b. Include historical context or fun facts 5. Content – What? a. Present overview b. Present details: derive and describe concept, process, technique, analysis or method c. Engage students via simple Q&A, with feedback, to keep students
Activities Treatment Control Type Structure Full Flip, Single-Group Lage [48,49] Fr SGA VL 40 - O O-X Kaner [44] U SGA VL - - O O-X Bergmann [5,6] HS - - - - - - Talbert [70] U SGA;Q VL 7 - O O-X Gannod [28,29] Fr-Gr HW;SGA VL 20;160 IP - O X-X Toto [74] Jr - VL;Q 74 - O X1 -X2 Zappe