, and vibrations of a particle and of a rigid body 1-3.Prediction of student academic performance has long been regarded as an important researchtopic in many academic disciplines because it benefits both teaching and learning 4, 5. Instructorscan use the predicted results to identify the number of students who will perform well, averagely,or poorly in a class, so instructors can be proactive. For instance, if the predicted results showthat some students in the class would be “academically at risk,” instructors may consider takingcertain proactive measures to help those students achieve better in the course. Representativeexamples of proactive measures include adding recitation sessions, adding more office hours,using computer simulations and
has examined standard textbooks and other technical references, and it appears thatthe specific form of the equation presented in this article is novel and useful.Simple/Single Rigid-Body CaseFrom the analysis of a general system of particles subjected to both external and mutual-internalforces (for which a modest particle-interaction restriction is assumed), the equations that governthe translational and rotational dynamics of the system are most commonly expressed [4–6] as F m aG (1) MG H (2
present day. Here position analysis is taken to mean 1)finding the two remaining unknown angles on the linkage with an input angle given and 2)finding the path of a point on the linkage once all angles are known. The efficiency of positionanalysis has taken on increasing importance in recent years with the widespread use of pathoptimization software for robotic and mechanism design applications.Kinematicians have developed a variety of methods for conducting position analysis, but thesolutions presented in the literature fall into two general families: 1. The angle between the coupler and the rocker is found using the law of cosines. Once this is known, the coupler and rocker angles are found using some combination of the laws of
most general displacement of a rigid body with one pointfixed is equivalent to a single rotation about some axis through the point, these two rotationscan be combined into one, i.e., ⃖�⃗ ( 𝐧𝐧 , β ) = 𝐑𝐑 𝐑𝐑 ⃖�⃗ 2 ∙ 𝐑𝐑 ⃖�⃗ 1 ( 18 )The theorem is established if n and β are determined uniquely. Through some manipulations asshown in Ying’s Advanced Dynamics [1] it is found that 𝛽𝛽 ψ ϕ ψ ϕ cos 2 = cos 2 cos 2 − sin 2 sin 2 cos θ ( 19
activities undertaken by the student.Unfortunately, in recent years, extensive use of solution manuals and replication of answers fromthe solution manual without any understanding has been a major hurdle in the learning process ofthe students. Blind faith in the solution manual rather their own abilities to solve problemsnegatively impacts a student’s conceptual understanding of the principles of Dynamics andtherefore impedes their critical thinking ability. This is a nationwide phenomenon [1], [2], [3]and some important reasons has been traced to – (a) students who are employed outside schoolfind less time in their studies, (b) lack of mathematical and analytical skills discourages studentsfrom trying on their own, and (c) instant gratification of
average cost ofcollege textbooks has risen three to four times faster than the rate of inflation over the past 10years. In a single year, the average college student spends more than $1,200 on books andmaterials, as reported by the College Board [2]. The survey conducted in this research confirmsthe high cost of learning resources for engineering students. The main problem is that as the endusers, students generally have no role in selecting the course learning materials. The high andrising cost of textbooks and its impending influence on the learning of students who cannotafford such prices has been investigated and discussed by government agencies, researchers, andeven public media [1], [3], [4], [5]. Digital Affordable Learning
. (2011, February). Are digital natives a myth or reality? University students’ use of digital technologies. Computers & Education, 56(2), 429-440.Mayer, (. E. (2014). Incorporating motivation into multimedia learning. Learning and Instruction,, 29, 171-173. doi:ISSN 0959-4752),Monaco, M., & Martin, M. (2007, April-December ). The Millennial Student: A New Generation of Learners. Athletic Training Education Journal, 2(2), 42-46.Moreno, R. (2005). Instructional technology: promise and pitfalls. (M. B. L. Pytlik Zillig, Ed.) Technology-based education: Bringing researchers and practitioners together, 1–19.Nelson, D., Misra, K., Sype, G. E., & Mackie, W. (2016). An Analysis of The Relationship Between
in large-scale engineering classes have turned to using only onlinehomework-based systems such as Pearson’s Mastering, Wiley Plus, and/or McGraw Hill’sConnect to assess student learning. These systems provide content, grading and assessment ofstudent work, and feedback to students while solving problems. Previous research has shownthat students’ value both online and handwritten homework. Even students who disliked onlinehomework found it to be at least somewhat helpful. The current project investigates ifperformance on higher stake (e.g., more heavily weighted in overall grade) activities is betterthan on lower stake activities in a Dynamics class and a General Physics I class. In our researchonline homework, handwritten homework, and exams
be explicitly conveyed to the students.Demonstration #4: Cutting the Cheese BeamOverview: This demonstration introduces the concept of generating an internal bending momentin a beam due to an applied shear force. The deformation of the beam also serves as a primer formechanics of materials concepts, namely, horizontal shear, as well as flexural and shear strengthsof beams.Student Learning Outcomes: ability to: recognize that the application of an external shear forceproduces an internal bending moment in a beamResources: block of cheese (at least 6" span and 1 in2 cross-section), 2 lengths of PVC pipe,knifePreparation time: 1 minuteDemonstration time: 3 minutesProcedure: As shown in Figure 9(a), a block of cheese is propped onto roller
Paper ID #26511Challenges in Teaching Ideal Flows to ME Students Concurrently with SeniorDesignDr. Amitabha Ghosh, Rochester Institute of Technology Dr. Amitabha Ghosh is a licensed Professional Engineer with a Ph.D. in general engineering composite (Major: Aerospace Engineering) from Mississippi State University. He obtained his B.Tech. and M.Tech. degrees in Aeronautical Engineering from Indian Institute of Technology, Kanpur. He is a professor of Mechanical Engineering at Rochester Institute of Technology. His primary teaching responsibilities are in the areas of fluid mechanics and aerodynamics. He is also a
– Physics Education Research, vol. 11, pp. 1-14, 2015.[24] R. Meijer and M. Nering, “Computerized Adaptive Testing: Overview and Introduction,” Applied Psychological Measurement, vol. 23(3), pp. 187-194, 1999.Appendix 1 – Example solution to the Straight frame problemAppendix 2 – Rubric used for assessing the free-body diagramsUUID: YearQuestion Mark: QuestionExam Mark: Topic Description Body #1 Body #2 General FBD Missing no yes no yes
developers of the Rose-Hulman Sophomore Engineering Curriculum, the Dynamics Concept Inventory, and he is a co-author of Vector Mechanics for Engineers: Dynamics, by Beer, Johnston, Cornwell, and Self.Dr. Amir H Danesh-Yazdi, Rose-Hulman Institute of Technology Dr. Danesh-Yazdi is Assistant Professor of Mechanical Engineering at Rose-Hulman Institute of Tech- nology. c American Society for Engineering Education, 2019 Good Strategies to Avoid Bad FBDsAbstractDrawing a good free-body diagram (FBD) is generally acknowledged by mechanics instructorsas a critical step in solving mechanics problems. In this paper we will summarize recommendedprocedures and mnemonics that have been
Number:1565066. c American Society for Engineering Education, 2019 Experiments in Community Building within Classrooms of Commuter Students. Part I: The Case of StaticsIntroductionA commuter student has been defined as “a college student who does not live in an on-campusinstitutionally-owned/approved housing, such as a residence hall or a fraternity or sorority house[1]. Using this definition, it has been estimated that approximately 85% of today’s students in theUSA commute to campus [2].The lives of commuter students have three separate parts: life at home, life at work, and life atschool. Juggling the responsibilities from those three aspects of their lives is challenging [3]. Inmany
study design paired twosequential rigid-body motion topics in Engineering Mechanics: Dynamics to test the effect offlipped vs. traditional lecture on both student learning and engagement. We alternated instructionalmethodology (traditional lecture + flipping) between the two sections of Dynamics in spring 2018.The traditional lecture sessions were taught with hand-written note lectures (with limited activelearning) and completed two typical numerical homework problems per topic. For the flippedsessions, students watched instructional lecture videos prior to class, worked through a hands-onin-class activity, and completed analytical questions related to the in-class activity whichsubstituted for 1 of the 2 homework problems on each topic. Paired
interesting to see, and could perhapsbe a point to explore in the future by asking students for reasons they may have watched some ofthe videos but not others, and how they felt the videos compared in a general sense. Overall theviewing data indicates that students were watching the videos, and that they were successfulfrom a watchability perspective. Table 1: Number of views by video Cumulative Views Before Total Views During November Video Title November 2018 and December 2018 Suspension bridge 7262 12535 Equilibrium of a Point 150
responses on the examwrapper at WCC indicated we still had a high rate of guessing and general confusion about whatthe question is asking.Table 4. Item analysis of the TRCV v2.0 administered to 70 students at USU in winter 2019.The correct answer is in boldface. NA indicates students did not answer the question. Difficulty Point-biserial Item Description Index Correlation A B C D NA 1 Vector addition in 2D from point 0.16 0.44 12 11 18 28 0 labels on annotated photo 2 Visualizing direction of cross 0.81 0.54 7 3 3 56 1 product in 2D from position and
did not always drop as thesemester progressed, but it did drop with increasing average duration of videos; and coveragewas significantly and inversely correlated to video duration for all courses.IntroductionThe flipped (or inverted) form of teaching has been gaining increased attention in theengineering education community over the last decade. A flipped class, in its most general sense,is characterized by swapping of activities that were traditionally performed in the classroom withthose that were traditionally performed outside of it. Thus, lectures or instructor-led problem-solving sessions (traditional in-class activities in many engineering courses), are presented tostudents outside of class and prior to it (in the form of readings and
EngineeringAbstractEngineering students are often given quantitative problems as homework. Problem solvingprovides students opportunities to retrieve knowledge, apply and adjust conceptualunderstanding, and build analytical skills. Because increased motivation has been shown toproduce better learning outcomes [1] - [3], it makes sense to tailor problems to motivate students.Intuitively, adding contextual elements, such as background information, narrative, images, andlocal references, to problems may be one way of motivating students, but investigation in thisarea has been limited [8] - [10]. Therefore, this study surveyed students to gauge theirperceptions of fundamentally identical problems presented either with or without significantcontextual elements. The primary
are often considered the most foundational for engineering students.Yet, these courses have become impenetrable from changes in content and pedagogy and areoften abstracted from any human or societal context. One reason for this abstraction may be dueto the understandably prolific use of the “engineering problem-solving method” (EPS) or“engineering as problem definition and solution” (PDS), which teaches students how tomethodically approach a technical problem and produce easily checked solutions [1]. However,the EPS method has perpetuated the dominance of mathematical problem solving as the highestvalue in engineering [2], often unintentionally reinforcing the worldview that technical rigor ismore important than the context in which
have also incorporated the lab into a Kinesiology biomechanics course, as well as twobiomechanics courses within the College of Engineering (one in the Mechanical EngineeringDepartment and one in the Biomedical Engineering Department). Finally, a graduate levelarchitectural engineering course used the lab to analyze two and three degree-of-freedombuilding models to examine responses to different base inputs (including simulated realearthquake data).Students were asked to fill out surveys to determine their subjective experiences of using the lab.Response was generally positive, with biomechanics courses tending to rate the experience morefavorably than other students.IntroductionBy their very nature, textbook problems and examples are static
number of cases that are typicallyconsidered in an undergraduate-level class (SDOF: free response-undamped, underdamped,critically damped, overdamped; harmonic force response, periodic force response, general forceresponse; MDOF: free response, forced harmonic response, natural frequencies and modeshapes) leads to many different solutions and approaches that the students are introduced tothroughout the term without enabling them to see the physics of each response. To address thisdeficiency, we have developed eleven interactive simulation modules (ISMs) in MATLABwhich depict the motion of the system under the aforementioned responses and allow the studentto control many of the parameters of vibration to see the effect of each of them on the
Performance and StrategySelection in Decision Making,” Cognitive Psychology, Vol. 65, pp. 207-240, 2012.[5] M.L. Gick and K.J. Holyoak, “Schema Induction and Analogical Transfer,” CognitivePsychology, Vol. 15, pp. 1-38, 1983.[6] M.A. McDaniel, M.J. Cahill, M. Robbins and C. Wiener, “Individual Differences inLearning and Transfer: Stable Tendencies for Learning Exemplars versus Abstracting Rules,”Journal of Experimental Psychology: General, Vol. 143, pp. 668-693, 2014.[7] NSPE Code of Ethics for Engineers, National Society of Professional Engineers,https://www.nspe.org/resources/ethics/code-ethics[8] R. Averill, “Grading,” New Leaf Education, Blog, February 27, 2018,http://newleafedu.com/2018/02/27/grading/[9] R. Averill, “Rubrics,” New Leaf Education
included in the data set.Inferential MethodsAll data analyses stated in this section were performed in the R statistical system [11] at the 5%level of significance. A chi-square test for independence and the Wilcoxon Rank Sum test wereperformed to investigate Question 1.An ordinal logistic regression model was generated to investigate Question 2, with the responsevariable being a measure of performance per Item 6 on the Statics Exam 2 Wrapper (see TableA1 in the Appendix). Wrappers with incomplete responses in variables that were pertinent to themodel were excluded from the analysis.ResultsPrincipal Reasons of Point LossIndividual student responses were analyzed from Exam Wrappers given after Statics Exam 1 andStatics Exam 2 in order to determine
to self-select into teams of four. In these teams students wereassigned a “stretch” problem asking them to apply previously-learned content about shear andmoment diagrams to design of a crane-rail for a moving crane (see Figure 1). Although studentshad most of the technical/computational knowledge needed to solve the problem, the designcontext was completely new and students needed to think carefully about how to apply theirknowledge. At the beginning of class, students were shown a small mock-up of the frameconstructed with Tinker Toys. Each team was given about ten minutes to think about the problemand ask questions. During this time two instructors circulated to answer questions. Partwaythrough the class period each person on the team was
State University in 2002, 2004, and 2007, respectively. Dr. Rhoads’ current research interests include the predictive design, analysis, and implementation of resonant micro/nanoelectromechanical systems (MEMS/NEMS) for use in chemical and biological sensing, electromechanical signal processing, and computing; the dynamics of parametrically-excited systems and coupled oscillators; the thermomechanics of energetic materials; additive manufacturing; and mechanics education. Dr. Rhoads is a Member of the American Society for Engineering Education (ASEE) and a Fellow of the American Society of Mechan- ical Engineers (ASME), where he serves on the Design Engineering Division’s Technical Committees
)] r40 + r4ω4 e(θ4 + 90) = r2ω2 e(θ2 + 90) + r3ω3 e(θ3 + 90) B --- (2) r2 e(θ2)LCE to line(θ4 + 90) is D0 = r2ω2 sin(θ2 - θ4) + r3ω3 sin(θ3 - θ4) --- (3) A r 1 e(θ 1)LCE to line(θ3 + 90) is Figure C. Vector Loops for ACr4ω4 sin(θ4 – θ3) = r2ω2 sin(θ2 - θ3) ---- (4)ω3 and ω4 can be directly computed from (3) and (4).5. Simplified Integrated Methods of Solution (SIMS)Traditional set of equations ΣX = 0, ΣY = 0 and ΣM = 0, for a general 2D system willsometimes result in nonlinear and
the learning environment created by the instructor [1-2]. A properlydesigned learning environment ought to minimize the influence of the teacher on learning whilemaximizing the learning habits of the student. One potential method for doing this is to create a“specifications-based” learning environment wherein the assessment of student performance isstructured around requiring students to engage course materials in ways that are consistent witheffective learning. This paper examines the application of a specifications-based environment tothe design and delivery of a Statics/Dynamics course.The specifications-based approach outlined in this paper is derived from two disparate fields.The first is that of Statistical Process Control as practiced
homework,quizzes and exams) serve as indicators of student performance for instructors. However,these instruments may not truly help in assessing student knowledge gains. Steif andDantzler6 conducted a study to design multiple choice questions in Statics course thathelped them perform psychometric analysis of the test results of over 245 students atseveral different universities. They concluded that the inventory offers reliable and validmeasures of conceptual knowledge in Statics course. On the basis of their test, one caninfer which concepts students in general tend to have the most difficulties with, as well asthe misconceptions that appear to be most prevalent
30 years. He has been the six-time elected as the Program Chair of the ASEE International Division for approximately the past 15 years. Three times as the Program Chair for the Graduate Studies Division of ASEE. Nick has had a major role in development and expansion of the ID division. Under his term as the International Division Program Chair the international division expanded, broadened in topics, and the number of sessions increased from a few technical sessions to over eighteen sessions in the recent years. The ASEE International Division by votes, has recognized Nick’s years of service through several awards over the past years. Nick has been the recipient of multiple Service awards (examples: 2013, 2010
each session. Session 1 Session 2 Session 3 Session 4 Session 5 Session 6 Session 7 n (%) n (%) n (%) n (%) n (%) n (%) n (%)Mechanics 24 (92.3%) 22 (84.6%) 17 (65.4%) 18 (69.2%) 14 (53.8%) 16 (61.5%) 16 (61.5%)(n = 26)DiscussionThe first implementation of the Mechanics VCP went reasonably well. There were a fewtechnological glitches, but in general participants were able to log in to the synchronous sessionsand get their microphones and audio working (or at least use the chat feature to participate indiscussions). Faculty enjoyed sharing what they were doing in their classrooms, and hearingwhat