Response Reports (Miami Fall 2009)module 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16number of students 69 70 68 69 64 71 64 59 54 66 58 50 62 49 49 55who submittedFor modules 6 and 7 (which provide data now to the DDL) we could determine the participationin individual LBD and DIGT exercises, as shown in Table 3. Page 15.1313.10 10Table 3. Initiation and Completion of Individual Exercises in Module 7 (Miami Fall 2009)page in module 7 1 2 3 4 5 6 7# of students s f s f s
students in the lowest quartile for standard deviation of the SDI,three reported high motivation regardless of the activity (see students 1661, 4786, and 7520 inTable 5).Student 7520’s average SDI by activity type did show, on average, higher motivation in moreactive learning settings. Comments revealed that passive classroom activities were not as“enjoyable” to this student, but their motivation was still high compared to other students due toconsistently low amotivation and relatively high identified regulation. Student 7520’s lowest SDIof 7.5 corresponded to the passive lecture L5STF, commenting that “A PowerPoint on a Fridayis kind of hard to pay attention to, especially when the lectures are typically more engaged.”Student 7520’s responses
Relative Motion and Acceleration Kit15) TQ Gear Train Kit Rotation, angular velocity, and acceleration16) TQ Simple Mechanism Kit Translation, General plane Motion Figure 1: Xpult catapult that can be clamped on a flat surface allow to throw a ping pong ball at an angle (left), Student performing hands-on projectile motion testing (right) Table 3: Selected textbook problems for projectile motion [22] Projectile motion problem 1: Given: Travel time t from A to B, (where B represents the maximum height), distance S x = 18 . Find: The velocity v A , angle , and maximum height h? Projectile motion problem 2: Given: Angle , traveled distances in X and Y direction. Find: The velocity v A , velocity while passing point
the students if they value it, and if theyvalue it with respect to how it is being used. Certainly, there is literature backing both sides ofthe coin; for and against, online systems and traditional homework methods [3], [4], [7]–[9],[11]. Students however, are clearly asking for both, and indicate that both will probably behelpful. Similar hybrid approaches have proven to be successful in other disciplines [14]. Maybewe should ask them to eat their vegetables alongside their ice cream!References[1] M. F. Schar, A. M. Harris, R. J. Witt, R. Rice, and S. D. Sheppard, “Connecting for Success; The Impact of Student-to-Other Closeness on Performance in Large-Scale Engineering Classes,” p. 23, 2016.[2] J. L. Davis and T. McDonald, “Can
bothcompletion and accuracy, and partial credit was awarded for both. For the homework, since alarger number of problems were submitted, only a selection of problems that were submittedwere assessed for each assignment. Table 1: Description of courses included in the study ID Assessment Term Class Period Instructor(s) N* H1 Homework Fall 2013 TR 8:00-10:45am A&B 37 H2 Homework Spring 2014 TR 8:00-10:45am A&C 32 Q1 Quizzes Fall 2014 WMF 8:00-9:50am A&C 35 Q2 Quizzes Fall 2014 MWF 11:00-12:50pm B 33*N is the number
used as supplementary material in a senior-level vibrations course.The fourth module uses Matlab. Student feedback is included.IntroductionThe advent of student-owned personal computers in the early 1980’s sparked an interest inmotion simulation software. The simple notion is that if students are able to see an animation ofthe systems that they are studying, especially for their choice of conditions, then they are muchmore likely to understand the material. A number of investigators1-5 have worked in this area.The history of the motion-simulation modules presented in this paper dates back to the early1980’s when personal computers were first required for undergraduate engineering students atVirginia Tech. The first efforts by the senior author
example, if the mainerror being made is related to switching the x and y components of a force due to sine and cosineconsideration. A non-graded worksheet could be prepared that focuses on that specific non-conceptual error. Some thought has been given to developing a booklet of problems thatspecifically identify the common errant paths; however, there is still a lot of data to analyze priorto the execution of that thought.Bibliography 1. Newcomer, J. L. and Steif, P. S. (2008) “What Students ‘Know’ About Statics: Specific Difficulties Common Among Students Entering Statics”, Proceedings – 38th Annual Frontiers in Education Conference, ASEE/IEEE. 2. Newcomer, J. L. (2010) “Inconsistencies in Students’ Approaches to Solving
on Solidworks and calculated themass properties using the software. Representative graphs for the linear and angularaccelerations at the head are shown in Figure 3. 100 50 0 Accel (ft/s/s) -50 -100 x -150 y z -200
unit Fig. 2 (a) Description of BTS (b) students testing a simply-supported beam.Student GroupsThe two different sections of the mechanics of materials course taught by the first author in fall2007 offered a natural division of students into separate experimental and control groups. Basicstatistical analysis was used to compare the level of readiness in the two student populationsbased on their grades in the prerequisite course, Statics. Besides calculating the mean ( X ) andstandard deviation (S) values of the grades in the two groups, a t-test was also performed basedon a 95% confidence level7. The t-test helps to determine whether the difference between the twostudent groups (the mean values) is statistically significant. In a
described in this paper, we devised special courseassignments: we gave a group problem to the students in a given course on the first day of classand organized students in groups of three or four, depending on the size of the class. Groupingsof students were alphabetical, based on the first letter of their last names. The student at the topof each grouping was designated the convener and leader of the group. Students were asked tomeet weekly and work collaboratively to solve the assigned problem(s) as a group and to submitone report of their work as a group on the last day of class, which is about one week before theday of the final exam. This report was worth 10% of the course grade. Students were encouragedto collaborate on other assignments, as
convoluted set of equations requiring several intermediatesteps. as shown in section 2's typical textbook solution for the Timoshenko problem. Tosimplify, all vectors are represented in polar form. Five Simplified Integrated Methods ofSolution (SIMS) are developed and applied progressively to solve the ten types of basicplanar vector systems that occur in statically determinate engineering mechanics problems.SIMS will yield scalar equations each with only one unknown for solving basic vectorsystems with two or three unknowns. For use in SIMS, polar vectors are classified as below.Solutions to examples start by identifying the type and forming the vector system equations.1. Vector with known magnitude and direction 3 (20) Known
as a tool for student-centeredlearning,” The Journal of General Education, vol. 50(1), pp.56-74, 2001.[9] A. S. Aldosary, “The correlation between final grade score, attendance and homework in theperformance of CED students,” European Journal of Engineering Education, vol. 20(4). pp. 481– 486, 1995.[10] D. C. Appleby, “How to improve your teaching with the course syllabus,” APS Observer,1994.[11] P. Hinchey, “Why kids say they don’t do homework,” The Clearing House vol.69, No. 4,pp. 242-245, Taylor and Francis, Ltd., Mar.-April. 1996.[12] J. Parkes, M. B. Harris, “The Purposes of a Syllabus,” College Teaching, vol. 50:2, pp.55-61, 2002.[13] M. B. Eberly, S.E. Newton, R.A. Wiggins, “The syllabus as a tool for student-centeredlearning,” The
- Engineering Statics 0.238 0.303 Engineering 0.301 0.437 DynamicsFor both classes that have prerequisites, the addition of prerequisite grade(s) to the model withNCA factors and traditional measures as predictors is a statistically significant improvement(partial F-test p-value < 0.001).Discussion and ConclusionLooking at the models using NCA factors as predictors of engineering grades, we can see thatthere are clear patterns in how the factors influence success. Many of the NCA factors aremalleable, so understanding these patterns is a crucial step towards introducing initiatives in theclassroom to help students reach their full potential. The
Exposition, Conference Proceedings, 2018, vol. 2018.[2] J. S. Norback and J. R. Hardin, "Integrating workforce communication into senior design," IEEE Transactions on professional Communication, vol. 48, no. 4, pp. 413-426, 2005.[3] J. H. Hanson and J. M. Williams, "Using writing assignments to improve self‐assessment and communication skills in an engineering statics course," Journal of Engineering Education, vol. 97, no. 4, pp. 515-529, 2008.[4] K. Mobrand and J. A. Turns, "Revisiting communication experiences to prepare for professional practice," in American Society for Engineering Education, 2011: American Society for Engineering Education.[5] U. National Academy of Engineering, The engineer of
6% of the S&Eworkforce, and women make up 25%. These percentages contrast sharply with thedemographics of these groups in the current overall population and workforce; by 2020 over Page 14.779.240% of college-aged students will be racially/ethnically diverse3.Currently, the U.S. engineering workforce remains 90% white and male; engineering, inparticular, has not attracted women and URMs. Baccalaureate degrees received by both URMsand women in engineering peaked in 1999-2000 and have trended downward since then 5. Arecent study conducted by Engineers Dedicated to a Better Tomorrow used the NSFWebCASPAR database to document that although
education," 2008.[2] National Academy of Engineering, "Educating the Engineer of 2020: Adapting Engineering Education to the New Century," National Academies Press, 2005.[3] A. M. Ogilvie, D. B. Knight, M. Borrego, A. A. Fuentes, P. A. Nava and V. E. Taylor, "Transfer Student Pathways to Engineering Degrees: A Multi-Institutional Study Based in Texas," in 45th Annual Frontiers in Education (FIE) Conference, El Paso, TX, 2015.[4] National Research Council, "Enhancing the community college pathway to engineering careers," The National Academies Press, Washington, D.C., 2005.[5] M. W. Ohland, S. D. Sheppard, G. Lichtenstein, O. Eris, D. Chachra and R. Layton, "Persistence, Engagement and Migration in engineering Programs," Journal of
MechanicsAbstractA recurring problem for teachers of engineering mechanics is that many students sign up to starttheir courses when they are not quite ready for them. This situation of unreadiness may be due tolack of adequate preparation. At first, it is easy to want to ascribe the problem to lack of coverageof pertinent material in the prerequisite course(s). However, the more likely cause is an amazingamnesia that leaves the students with very few of the important concepts learned in theprerequisite courses that are needed for the mechanics course that they are about to start. Thisphenomenon is observed even among some of the best students who get top grades in theprerequisite courses by demonstrating mastery of the material, but then “draw a blank” when
Students Earning Bachelor’s Degrees. Dedicated Engineers Communications Critical Issues Series. 2006 [cited Retrieved 7/6/06.].5. The Engineer of 2020: Visions of Engineering in the New Century. 2004, Washington, D.C.: The National Academies Press.6. Sheppard, S.D. and B.H. Tongue, Statics: Analysis and Design of Systems in Equilibrium. 2005, Danvers MA: John Wiley.7. Ashmore, C., Upton, D., Lee, B. Y., Thomas, G., Harrell, S., Valle, C., Murray, J., Newstetter, W., Jacobs, L. J., Rosser, S., “INTEL: Interactive Toolkit for Engineering Education,” ASEE Annual Conference and Exposition, Pittsburgh, June 2008.8. C. Ashmore, D. Upton, B. Y. Lee, G. Thomas, S. Harrell, C. Valle, J
study abroad opportunitiesin Mechanics at PUWL and at our fellow engineering institutions both here, and abroad.AcknowledgementsThis study is based upon work supported by the National Science Foundation (NSF) under GrantNo. DUE-1525671. Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the NSF. This workwas conducted with oversight provided by the PUWL Institutional Review Board.References[1] Steif, P. S. and Dantzler, J. A. (2005). A statics concept inventory: Development and psychometric analysis. Journal of Engineering Education, 94(4), 363-371.[2] Vasquez, H., Fuentes, A. A., Kypuros, J. A. and Azarbayejani, M. (2015). Early
. Surveyresponse data was converted to a 100-point scale such that a response of all 3’s would yield anormalized score of 100% and a response of all 1’s would yield a normalized score of 0% asfollows: 𝑀𝑒𝑎𝑛𝑆𝑢𝑟𝑣𝑒𝑦𝑅𝑒𝑠𝑝𝑜𝑛𝑠𝑒 − 1 𝑁𝑜𝑟𝑚𝑎𝑙𝑖𝑧𝑒𝑑𝑆𝑢𝑟𝑣𝑒𝑦𝑆𝑐𝑜𝑟𝑒 = (100%) 2 100% KS0 KS1 Exam 1 KS2 Exam 2 90% 80% 70%Score (Percent) 60% 50% 40
resource-rich contexts.AcknowledgementsThis study is based upon work supported by the National Science Foundation (NSF) under GrantNo. 1525671. Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the NSF. This workwas conducted with oversight provided by the PUWL Institutional Review Board.References:[1] Garrison, D. R., & Kanuka, H. (2004). Blended learning: Uncovering its transformative potential in higher education. The Internet and Higher Education, 7(2), 95–105.[2] Gurmak, S., & Glenn, H. (2014). Barriers and enablers to adoption and diffusion of eLearning : A systematic review of the literature – a need for an integrative approach
11 cases, or 82%) employed a One-Shot Case Study design in which only a single group of students were involved (that is with no comparison group).9) The data collection methods used in the 11 studies included questionnaires (100%, n = 11), content analysis of students’ comments (36%), and scores of performance tests (quizzes) (21%).AcknowledgementsThis material is based upon work supported by the National Science Foundation under Grant No.DUE 1122654.Bibliography[1] Michau F., Gentil S., & Barrault M., 2001, “Expected Benefits of Web-Based Learning for Engineering Education: Examples in Control Engineering,” European Journal of Engineering Education, 26 (2), pp. 151- 168.[2] Cornwell, P. J
teams of four students, which gave an opportunity to learn orreinforce effective teaming skills. The changes to the project allowed flexibility in the designsolutions that encouraged the students to be more innovative and creative in the design process.The purpose of this paper is to describe the team design project including how it was able toimprove the student‟s learning experience. Assessment strategies and results will be shared.Preliminary findings indicate that the project increased the students‟ awareness of the world,their teamwork skills and reinforced the application of a formal design procedure. Individualswho are involved in the development of design projects, international projects, or teachingengineering mechanics may be
students’diverse needs and preferences [29]. To this end, future research will apply the abbreviatedDynamics Concept Inventory (aDCI) [30] to examine an instructor’s effect on student academicperformance in the specific context of Prime University.AcknowledgementThis study is based upon work supported by the National Science Foundation (NSF) under GrantNo. 1525671. Any opinions, findings, conclusions, or recommendations expressed in thismaterial are those of the authors and do not necessarily reflect the views of the NSF. This workwas conducted with oversight provided by the Purdue University (West Lafayette) InstitutionalReview Board.References[1] M. Stains, J. Harshman, M. K. Barker, S. V. Chasteen, R. Cole, S. DeChenne-Peters, et al., “Anatomy
0 0 0 0 0 4 4 0 0 0 0 0 4 4 Final 2 4 4 0 4 4 4 0 0 0 0 0 4 0 0 0 Final 3 2 4 4 4 4 4 0 0 0 0 0 4 0 0 4 Final 4 0 4 2 0 0 0 2 2 3 4 4 0 4 0 4 Total 32 32 18 28 24 25 23 15 14 20 21 36 16 12 41 C. Free-body Diagrams. Construct accurate and complete Free-Body Diagram(s) (FBD). Treat distributed forces (e.g., pressure and weight) and point
the measured/calculated data alongwith the above mentioned plots (Q2) to report if any differences are observed in the results forthe two different balls that are tested along with a scientific explanation for it. In addition thefollowing discussion questions are asked as well.(Q3) If the ball is projected with a velocity = 2000 ft/s in air how would its flight characteristicsbe affected?(Q4) A ball projected with velocity v at an angle θ breaks apart into two pieces at the highestpoint of its trajectory such that each piece acquires an additional horizontal velocity v opposite indirection to the other piece and perpendicular to the initial horizontal direction. Find the locationof each piece with respect to the launch point when it falls to
) Kinematic Equations Since the crate doesn’t slip relative to the truck, we have (aA )x = (aB )x and (aA )y = (aB )y = 0. Now, using the constant acceleration eqns, we can find the acceleration of the truck, that is, (vB )2x = (vB0 )2x + 2(aB )x (xB − xB0 ) Profs. Gray & Costanzo (Penn State) Lecture 12: N-E Eqns: Examples February 12, 2007 7 / 20 Example: Problem 3.3 (continued) Plugging in numbers: 0 = (88)2 + 2(aB )x (350) ⇒ (aB )x = −11.06 ft/s2 . where I have used the fact that (vB0 )x = 60 mph = 88 ft/s. Computation
materialis based upon work supported by the National Science Foundation under grant number DUE-1519412. Any opinions, findings, and conclusions or recommendations expressed in this materialare those of the author(s) and do not necessarily reflect the views of the National ScienceFoundation.References[1] D. Evenhouse, N. Patel, M. Gerschutz, N. A. Stites, J. F. Rhoads, E. Berger, et al., "Perspectives on pedagogical change: Instructor and student experiences of a newly implemented undergraduate engineering dynamics curriculum," European Journal of Engineering Education, 2017.[2] J. F. Rhoads, E. Nauman, B. Holloway, and C. Krousgrill, "The Purdue Mechanics Freeform Classroom : A new approach to engineering mechanics
analysis.IntroductionThe authors of the National Academy of Science report Rising above the Gathering Storm1 writewith urgency of the need for the United States to strengthen the scientific and technical buildingblocks that lead to economic prosperity. The number of Master’s and Ph.D. degrees awarded inengineering has decreased approximately 7% and 13%, respectively, from 1996 to 20012 and thenumber of Ph.D.’s awarded in mechanical engineering has decreased approximately 19% from1996 to 20043. Engineering dynamics, which encompasses areas such as flight dynamics,vibration isolation for precision manufacturing, earthquake engineering, structural healthmonitoring, signal processing, and experimental modal analysis is naturally affected by thisdecrease in numbers