4 Two ball setup for Daredevil momentum and energy 6. Daredevil Energy - Using data from a previous lab (Daredevil Momentum), calculate the potential and kinetic energy of the ball in various locations throughout 2D space before and after collision. 7. Hot Wheels Energy - Use the data from a previous lab (Hot Wheels Dynamics) to examine the energy states of the car in motion. The lab incorporates kinetic, gravitational and spring energy and allows the student to derive an expression for as well as calculate the spring constant for the launcher.Course OutcomesOf the eleven ABET student outcomes for engineering programs, five outcomes (a, b, c, e & k)were expected to be satisfied by this course:11a. An ability
indices. The students were expected to know how to use the material selection charts.Table 1 summarizes the assessment for randomly selected 25 projects in terms of how the projectteams used the various materials science perspectives in terms of (a) material properties, (b)material allowable, (c) structural adequacy in terms of factor of safety and (d) a rational processof material selection using Ashby charts. It should be mentioned here that the software CESEduPack was not used. Only the charts were used. Selection aspect was correctly considered byonly 6 of the 25 groups TABLE 1Assessment in terms of material properties, allowable, adequacy, and selection PRODUCT Mat. Prop
: C r3 B 3 r4 r2 2 4 A r1 r1 D Figure 4The Kinetic energy of the motion is obtained as: 1 1 1 1 T? I Ay 22 - I 3y 32 - I D y 42 - m3 v cm 2
making the inverted format work for a large undergraduate course.Bibliography1. Bligh, D.A., What’s the use of lectures?. San Francisco, CA, Jossey-Bass, 2000.2. B. Morin, K. M. Kecskemety, K. A. Harper, P. A. Clingan, “The Inverted Classroom in a First-Year Engineering Course,” 120th ASEE Conference & Exposition, June 23-26, 2013, Atlanta.3. G. S. Mason, T. R. Shuman, K. E. Cook, “Comparing the Effectiveness of an Inverted Classroom to a Traditional Classroom in an Upper-Division Engineering Course,” IEEE Transactions on Education, Vol. 56, No. 4, November 2013.4. Bishop, J.L. and M.A. Verleger. The Flipped Classroom: A Survey of the Research. in 2013 ASEE Annual Conference. 2013. Atlanta, GA: American Society for Engineering
their curricula.3.2 MaterialsThe materials consisted of two forms (Form A and Form B) of a paper-pencil survey consistingof 22 5-point Likert questions concerning strategies and confidence while solving word problems(Q3-Q24), followed by ten background questions (Q25-Q35). The five Likert options wereNever, Rarely, Sometimes, Most of the Time, Always. The five Likert options for Question 25(Familiar) and Question 26 (Interest) were Not at All, Marginally, Somewhat, Very, Extremely.The questions are shown in Table 1. Form A and Form B differed only in the random order inwhich the 22 questions were presented. The background questions were always presented at theend of the survey and in the same order on both forms. Written instructions at the top
-322.16. Mengel, S. (1994). Providing a Welcoming Environment to Make Mistakes. Proceedings of the 24th Frontiers in Education Conference.17. Black, S. (2003). Try, Try Again. Journal of Staff Development. 24:3, 12-17.18. Ivancic, K. and Hesketh, B. (2000). Learning from Errors in a Driving Simulation: Effects on Driving Skill and Self- Confidence. Ergonomics. 42:12, 1966-1984.19. Ziv, A., Ben-David, S. and Ziv, M. (2005). Simulation Based Medical Education: an Opportunity to Learn from Errors. Medical Teacher. 27:3, 193-199.20. Johnson, A. (2004). We Learn from Our Mistakes – Don’t We? Ergonomics in Design. 12:2, 24-27.21. Want, S. and Harris, P. (2001). Learning from Other People’s Mistakes: Casual Understanding in
discuss trends in grade distributions, especially in the context of learning andmastery of the course material. Obviously, a good knowledge of the fundamental conceptscovered in Thermodynamics-I prepares students to succeed in Thermodynamics-II.At this institution all required mathematic, science, and engineering courses must be completedwith a grade of ‘C” or higher. Therefore, the successful attempt rate is defined as the percentageof students enrolled in the class who complete the course with a grade of either “A”, or “B” or“C”. Grades of “D,” “F” or “W” (withdraw from the class) are considered unsuccessfulattempts. A simple metric is the percentage of students receiving grades of D, F, or W (DFWpercentage).Between fall semester 1994 and
design of team’s selectedmechanical component from team’s same selected vehicle. The reports and presentations arerequired to cover component manufacturability and cost, environmental conditions, dimensions,loading conditions, design and statics treatment, stress-strain analysis, fatigue analysis, andsimulation. On each project, a team is required to select a team leader and to divide up theworkload among all team members.The hands-on method is designed so that (a) the instructor can mentor and coach students’“thinking and doing” in a multidimensional process of learning, (b) peer-to-peer learning isgreatly enhanced, (c) students are encouraged to defend their way of thinking resulting in ameeting of the minds between instructor and student, and
realizing the need to substitute in forthe pressure in terms of volume. The final point was awarded for a correct overall solution.Results (a) Attempt 1 (b) Math problem (c) Attempt 2 (d) Popoulation scores in each phase of the activity, mean score indicated and outliers shown. Figure 2: Student scores (out of four points) in the three phases of the in-class activity (n=177). Histograms shown (a-c) and (d) box and whisker plot.Figure 2 details the scores of students on the in-class activity. Four points was the maximumpossible point score. Only five students achieved a full score (entirely correct solution) on thefirst attempt at the boundary work problem
thermodynamic analysis of engineering processes and cycles. Recognizing the need toquickly and effectively introduce thermodynamic properties of water and at the same timereinforce the fundamentals, a new instructional approach was implemented. The approach reliedon targeted videos to (a) make the transition from ideal gas model to water properties seem lessdisconnected and (b) convey state relationships in a visual form, namely property charts. Twoseparate videos on ideal gases and water were produced with a clear overlap related to realfluids. Both videos used property charts to visualize the thermodynamic property relationships.After students watched the videos outside the lecture period, a short lecture was dedicated to themechanics of property
and FluidMechanics Instruction,” Proceedings of the ASME 2010 International Mechanical Engineering Congress &Exposition, Vancouver, British Columbia, Canada , November 12-18, 2010.3. Çengel, Y. A. and Turner, R. H., 2005, Fundamentals of Thermal-Fluid Sciences, 2nd Edition, McGraw Hill, NewYork, NY.4. Turns, Stephen R., 2006, Thermal-Fluid Sciences: An Integrated Approach, Cambridge University Press,Cambridge, England.5. Kaminski, D. A. and Jensen, M. K., 2005, Introduction to Thermal and Fluid Engineering, John Wiley & Sons,Inc., Hoboken, NJ.6. Moran, M. J., Shapiro, H. N., Munson, B. R., and DeWitt, D. P., 2003, Introduction to Thermal SystemsEngineering, John Wiley & Sons, Inc., Hoboken, NJ.7. Boettner, D. D., Bailey, M. B
of the typical semester time which turns out that this approach did not giveenough time to fully test the influence of the interventions. Here, we focus on the most promisingintervention out of the three tested, which at the same time has the main theoretical basis for theintervention. The motivation of students to thoroughly complete their homework was measuredthrough a survey instrument shown in Appendix A. The learning outcome was measured in twoways. Firstly, a learning survey instrument was used (See Appendix B). Secondly, a standardassessment based on examination results for the control and the experimental samples were used.The exams consisted of the same problems for both samples and were graded by the same graderwith the same style
Paper ID #27647Board 97: Robots at Your Service: An Entrepreneurial and Socio-TechnicalACL Course ModuleDr. Ming Z. Huang, University of San Diego Ming Huang received his MS in University of Rhode Island and Ph.D. from the Ohio State University in Mechanical Engineering. He is currently professor and chair of mechanical engineering department at USD. His research interests are coordination and computer aided design optimization of of robotic mechanisms, theory and practices of inventive problem solving and engineering pedagogy.Dr. Elizabeth Reddy, Colorado School of Mines Elizabeth Reddy is a Teaching Assistant Professor in
. Henderson, C., and Dancy, M. (2007). “Barriers to the use of research-based instructional strategies: The influence of both individual and situational characteristics.” Physical Review Special Topics: Physics Education Research, 3(2), 020102.10. Plakans, B. S. (1997). “Undergraduates' experiences with and attitudes toward international teaching assistants.” TESOL quarterly, 31(1), p. 95-119.11. Hall, S. R., Waitz, I., Brodeur, D. R., Soderholm, D. H., and Nasr, R. (2002). “Adoption of Active Learning in a Lecture-based Engineering Class.” 32nd ASEE/IEEE Frontiers in Education Conference, Boston, MA.
benefits B) by (approach A) better than (competition C).” Thisdeliverable also included a presentation with a video demonstrating their prototype. This projectallowed the students to combine the programing and 3-D modeling they learned in the course,with the Arduino knowledge they gained to make a physical prototype to solve a real need.3.4 ME 3511 – Experimental MethodsTaken in the fifth semester, ME 3511 has traditionally focused on using the LabView software asan interface for National Instruments USB-based data acquisition (DAQ) systems, in conjunctionwith industrial quality sensors. While LabView is commonly used in industrial DAQapplications, and is especially capable of interacting with National Instruments hardware, it is acomplex
factor. Rating of A Rating of B Rating of C Rating of D Member A ratings of all members 27 24 24 25 Member B ratings of all member 25 30 23 22 Member C ratings of all members 25 25 25 25 Member D ratings of all members 25 27 25 23 avg=25.5 avg=26.5 avg=24.25 avg=23.75 25.5/25=1.02 26.5/25=1.06 24.25/25=0.97 23.75
, the air stream reachesthe floor of the room and splits with a greater portion of it returning towards the inlet and therebycausing a recirculation zone. a) b) c) d)Figure 12 a), b), c), and d) x-velocity distribution over 5 seconds, Re = 427Experimental ResultsExperimental results were obtained by the students using Pitot tube measurements to evaluate theflow. They determined the velocity profile at a number of streamwise locations to help visualizethe streamwise development of the
, and laser designated ground objects (Table 2). Table 2: Summary of Student UAV Concepts Team Type Propulsion Autonomous Demonstrated Cost Flight Technologies Mode ME Team F/W Electric Kestrel Onboard $7,531 A Powered autopilot wireless video Year Propeller with GPS 1 ME Team B F/W Glider MicroPilot Weather $9,826 autopilot balloon release with GPS Multi- F/W Gas Powered Xbow Frequency $4,560
was used as the standard measuring device. MSD measurements were compared tothe measurements made using the hot film anemometer. Hot film traverses were conducted onboth network systems. Measurements were taken in an annulus arrangement. A diagram of thisarrangement can be seen in Figure 5. The cross section of the pipe was divided into three areas;A, B, and C. Within each area, four different measurements were taken at positions 1, 2, 3, and4. In the center area, C, only one measurement was taken because this was the point where allfour points converged. The velocities obtained from the hot film anemometer were thentranslated into volume flow rates using the area of each annulus in which the measurements weretaken. Figure 5 Annulus
allowsfaculty to quickly identify concept areas where students possess misconceptions, and whatspecific misconceptions they are carrying with them to the course. An identical post-report wasprovided to faculty members during winter break, before the start of spring semester. Page 11.1186.8 Figure 2: Example Pre-CI Report Displaying Test Statistics and a Single Item/Problem Analysis. The correct answer was ‘B’ for this question.It should be noted that the post-course CI results serve as an opportunity for notifying faculty ofspecific content areas that may need strengthening in future classes. Additionally, facultyinstructing
submissions. Out of those 8736 problems, 163 (1.9%) were not submitted. Five studentsaccounted for the majority -119, approximately 73% of the 163 missing assignments. Incomparison, the traditional paper-based assignment had the same problems but distributeddifferently (with part a, part b etc.) resulting in 7700 possible problem submissions. Out of these7700 problems, 433 (5.6%) were not submitted. In this case, six students accounted for asignificant portion of the missing submissions. To further evaluate the data the missingsubmissions were divided into five categories. The first category was assignments missing oneproblem in the assignment, in other words, the student skipped one problem when trying to solvethe homework assignment. The remaining
for enforcement in 2012. The snowmobile design and performance was publishedin a technical paper which was presented by the faculty advisor and one of the students at aprofessional society conference.5 Further, because the use of ethanol as a fuel is important tofarmers, this applied research was supported by a grant from the Michigan Corn Growers 300 B ra k e S p e c ific E m is s io n s (g /K W -h r) 250 200 150 100
sustainability b. Evaluate a product/ engineering system’s environmental impacts using Life Cycle Assessment c. Design/ redesign a product/ engineering system to using the engineering principles to improve environmental impactsThe achievement of these goals was assessed through students’ self-evaluations and analysis ofstudents’ coursework. In addition, the objectives are also planned to be assessed throughstudents’ capstone senior projects. But at the time of creation of this work-in-progress paper, thestudents who took this course have not worked on their senior project yet, as a result, this part ofthe assessment is planned to be conducted once the students worked on their senior projects. Toextend and complete this work-in-progress, it
2006-1332: METHODOLOGY AND TOOLS FOR DEVELOPING HANDS-ONACTIVE LEARNING ACTIVITIESJulie Linsey, University of Texas-Austin JULIE LINSEY is a Ph.D. candidate in the Mechanical Engineering Department at The University of Texas at Austin. Her research focus is on systematic methods and tools for innovative and efficient conceptual design with particular focus on design-by-analogy. Contact: julie@linseys.orgBrent Cobb, U.S. Air Force Academy CAPT. BRENT COBB is an instructor of Engineering Mechanics at the U.S. Air Force Academy. He received his B.S. from the Air Force Academy and his M.M.E. degree from Auburn University. He previously worked for the Propulsion Directorate of the Air
before the blender demonstration. That is likely to account for a larger fraction of students(59 percent versus 41 percent) who explained the temperature change with the first law ofthermodynamics. The blender is also used in a guided-inquiry laboratory exercise. The laboratory worksheetsfor the exercise are included as Appendix B. Students perform a laboratory exercise that takestwo hours. The laboratory exercise uses guided-inquiry to lead students to discover how theenergy storage and shaft work are manifest in the behavior of the blender. The thermocouplesignals are acquired from the DAQ, are displayed with a LabVIEW VI, and are post-processedwith a MATLAB program. The focus of the exercise is on manipulating hardware and collectingdata
theactivity. This would leave only the struggling students on-line trying to find help. Data showsthis is not the case. Some of the most active students started with high grades. This isencouraging behavior because the stronger students are on-line and perhaps can provide betterguidance for others.Data showed that very highly active students had initial grades ranging from very low F to highA. Data also showed that those with the highest levels of activity ended up increasing theirperformance. Of the 22 students with activity levels greater than 10, 18 increased their gradesand only 4 decreased. This indicates that there is a benefit to activity. All four decliners amongthe highly actives had initial grades from low B to low A. Three of the four
damping. ii Compute the natural frequency and predict the response for a one-degree-of- freedom system undergoing torsion vibrations, with or without damping. iii Compute the natural frequency and predict the response for a machine with a rotating unbalance.2. Students will have the ability to design and conduct experiments, as well as to analyzeand interpret data. (ABET Criterion b)Performance Criteria iv Practice vibration measurements on a structure using state-of-the-art equipment, rigor and documentation. v Analyze the data from an experiment appropriately. vi Assess the validity of the experimental results and compare with theoretical results when
, Page 14.523.4and utilization. I summary, the generator has two main purposes: a) to be connected to the 3transmission of a bicycle so that a cyclist can generate electricity, just by riding a regular bikethat becomes a stationary exercise machine, and b) connect it to a propeller to harvest energy atlow-wind speeds. Hence, this project intends to impact two modern society concerns in anintegrated way: usage of alternative energy sources and developing of attractive human exerciseactivities. For isolated villages and colonies around the world, and even in developed countries,this project presents some ideas to supply them with electricity. 2. Design and Construction of
students quickly learned how to identify theappropriate ASTM standard for 3D modeling of 3D printed testing coupons. ASTM D638(Standard Test Method for Tensile Properties of Plastics) was followed by the students for the3D modeling of coupons and identifying the exact testing procedure, including load rate andtesting data processing procedure. The created 3D coupon model was used during the 3Dprinting process, as shown in Figure 3 (a). Students printed pristine testing coupon using pristinePLA and ABS filaments purchased online and in-house prepared nanocomposite filament. The3D printed coupons are shown in Figures 3 (b and c).Figure 3. 3D printing of ASTM dogbone coupon: (a) 3D printing process using an FDM 3Dprinter; (b) 3D printed dogbone
/view/55/84, 2007.4. Fendrich, D. W., Healy, A. F., and Bourne, L. E., Jr., “Long-term Repetition Effects for Motoric and Perceptual Procedures”, Journal of Experimental Psychology: Learning, Memory and Cognition, vol. 17, no. 1, Jan 1991, pp. 137-152.5. National Council of Examiners for Engineering and Surveying (NCEES), “FE Supplied-Reference Handbook (Revised)”, 8th Edition, http://www.ncees.org/exams/study_materials/fe_handbook/, 2008.6. Roediger, H. L. III and Challis, B. H., “Effects of Exact Repetition and Conceptual Repetition of Free Recall and Primed Word-fragment Completion”, Journal of Experimental Psychology: Learning, Memory and