deep processing were significant predictors of students’ performance. The fourthmodel explained a total of 39% of the variance in students’ performance (R2 = .39, Adj. R2 = .35, F(4, 70) = 11.11, p < .001). Regression coefficients are reported in Table 3 below. Table 3: Regression coefficients of predictor variables in the study Std. B Error b t Sig. R R2Model 1 Deep 0.57 0.16 0.39 3.58 0.001 .39a 0.15 Deep 0.57 0.15 0.39 3.79 0.000Model 2 .51b
. Multidisciplinary Engineering Courses at Texas A&M UniversityThe courses taught at Texas A&M University, implemented for the Fall 2020 and underimplementation for Spring 2021 semester, were all Junior level engineering courses that includeboth the lecture & lab components. The following are the courses under present study: a. Thermodynamics for Technologists: Fall 2020 b. Fluid Mechanics & Power: Fall 2020 c. Strength of Materials: Fall 2020 & Spring 2021 d. Product Design & Solid Modeling: Spring 2021The above-mentioned courses were delivered Face-to-Face with synchronous remote option,which defines them as hybrid courses. All of the above-mentioned engineering courses are majorengineering courses taught nationwide
vectors of particles a Force distributed reactions at machines Conversions loads supports Figure 1. Main topics studied in Statics course at UTPA. Figure 2 presents the passing and failing rates of students that took Statics taught by the sameinstructor in the regular semesters during 5 years, from the Fall 2006 to Fall 2011 semesters.Students that passed the course got A, B, and C grades, and the ones that failed were those thatdrop or got D or F grades. Considering the results up to the Spring 2011 semester, the averagepassing rate in Statics during such time was 60.7%. That is, the average failing rate was 39.3%;students that dropped were about
provides his vision, strategic direction, very broad experience, nationally and internationally, and industry contacts to Interactive Flow Studies.Dr. B. Uygar Oztekin, Interactive Flow Studies CorporationDr. Gustavo Borel Menezes, California State University, Los Angeles Gustavo Borel Menezes is an Assistant Professor of civil engineering at California State University, Los Angeles, where he has been since 2009. During 2007-2009, he was a Postdoctoral Research Fellow at Spelman College. He received a B.S. from Universidade Federal de Minas Gerais in 2001, and an M.S. from the University of North Carolina, Charlotte, in 2004. He received his Ph.D. in infrastructure and environmental systems in 2007 from UNC Charlotte. His
AC 2011-2241: REVISITING COMMUNICATION EXPERIENCES TO PRE-PARE FOR PROFESSIONAL PRACTICEKathryn Mobrand, University of Washington Kathryn Mobrand is a doctoral candidate and research assistant in the Department of Human Centered Design & Engineering at the University of Washington. She is working with Dr. Jennifer Turns on preparedness portfolios for engineering undergraduates; her focus is on the communication of practicing engineers.Jennifer A Turns, University of Washington Jennifer Turns is an Associate Professor in the Department of Human Centered Design and Engineering at the University of Washington. She is interested in all aspects of engineering education, including how to support engineering
universities, such as Purdue, University at Buffalo, University ofDelaware, Rensselaer Poly, University at Maryland, University at Texas, Case Western, Universityof Massachusetts at Amherst, James Madison, Dayton, etc. In this year, we saw the enrollmentfrom our school drop to 62.5%. This was an indication that the class was now better known tostudents and administrators from other universities. In contrast, the enrollment from the yearsFigure 5: Summer 2015 F2F class Student Evaluation: Average for the lecture (labeled A) and therecitation (labeled B) are on par with the department average, but slightly lower than the universityaverage.before 2016 never crossed 50. It was apparent that an OL class could provide the same opportunityto students from
not have a prior knowledge in the field of mechanical design and it’s applications); • Determine faculty role in the learning process; • Develop an instructional plan; Page 23.5.3 • Design activities, assignments, and assessments that are congruent with the four desired student outcomes: (a) improved critical thinking skills, (b) greater capacity for independent work, (c) taking more responsibility for one’s own learning, (d) intellectual growth, congruent with the above mentioned goals and objectives.In what follows, we briefly discuss the two projects, Device Analysis and
. Simple Communication Radio Controllers.The course activities were then mapped to the desired project lab development and outcomes.Specifically, the process for integrating inquiry techniques into the lab projects, contained thefollowing phases: • Determine faculty goals and objectives; analysis of potential students (students, who take the course are juniors and do not have a prior knowledge in the field of mechanical design and it’s applications); • Determine faculty role in the learning process and develop an instructional plan; • Design lab activities, assignments, and assessments that are congruent with four major desired student outcomes: (a) improved critical thinking, (b) greater capacity for
grading, and Taylor shows that theyare typically ill-trained and supervised.20 However, Smith points out that technical faculty areconsistently more effective than communication instructors at identifying technical errors instudent reports.21 Further complicating the authority problem, Cho explores the way peopledeliver communication feedback and the ways that students respond to it.22 Cho finds thatstudents respond best to feedback that is (A) positive and (B) directive—so long as the directivesare non-trivial. In order to deliver non-trivial directive feedback, communication instructors Page 22.1687.7must either be well-versed in the technical
able to 1) calculate temperature distributions and heat flowswithin materials and systems; 2) design components and systems to control the flow of heat; and3) make appropriate assumptions to enable applying analytical heat transfer methods to realsystems. These fed into the ABET Criterion 3 program outcomes a) an ability to applyknowledge of mathematics, science and engineering; c) an ability to design a system, component,or process to meet desired needs; e) an ability to identify, formulate and solve engineeringproblems, and k) an ability to use the techniques, skills and modern engineering tools necessaryfor engineering practice. The ABET outcomes targeted in ME495 are b) an ability to design andconduct experiments as well as to analyze and
of 2015. Both instructors have extensive experience with teaching the course.Instructor A has taught the course seven times since 1997 and Instructor B has taught the classeleven times since 2004. Instructor A has extensive experience teaching using Active Learningtechniques in fundamental mechanics courses (both Statics and Dynamics) and had used them inthe MC/MSD class previously. Instructor B historically used a more traditional approach to thelecture portion of the class and has experience using Project Based Learning in the Laboratoryportion of the class. Additionally Instructor B was interested in learning to use Active Learningtechniques for the lecture portion of the class and welcomed the opportunity to partner withInstructor A to
AC 2009-857: A METHODOLOGY FOR TEAM TEACHING A COURSE WITHINDUSTRIAL EXPERTSYaomin Dong, Kettering University Dr. Yaomin Dong is Assistant Professor of Mechanical Engineering at Kettering University. He received his Ph.D. in Mechanical Engineering at the University of Kentucky in 1998. Dr. Dong has extensive R&D experience in automotive industry and holds multiple patents. He is specialized in metalforming processes, design with composite materials, and finite element analysis.Jacqueline El-Sayed, Kettering University Dr. Jacqueline El-Sayed is a professor of mechanical engineering at Kettering University, the Richard L. Terrell Professor of Excellence in Teaching. She has been an
2006-134: A SOLAR DISTILLER AS A THERMAL SYSTEMSDESIGN-BUILD-TEST PROJECTGregg Dixon, U.S. Coast Guard Academy Gregg Dixon is a Professor of Mechanical Engineering at the U.S. Coast Guard Academy. He received an M.S. degree in Engineering Science in 1966 from Stanford University in a combined B.S./M.S program. He received a Ph.D. in M.E. from Stanford in 1970. He previously served in the U.S. Navy, taught at California State University, Northridge and served as a consultant to the International Atomic Energy Agency. Page 11.118.1© American Society for Engineering Education, 2006
Learning Cycle into this project are discussed elsewhere16, 21-22.Active Learning Module SummariesAs part of the NSF-funded grant, ALM’s have been developed and implemented into eight coursesat six different universities using five different software packages. All of the ALM’s have beendeveloped to meet various educational and instructional objectives. The educational objectives ofthe learning modules include the following: a) to provide a different insight into traditionally challenging concepts that are covered in a required undergraduate mechanical engineering course, b) to provide undergraduate engineering students with a basic understanding of FE theory as applied to thermal and structural analyses, and
displacement associate with mechanical components for realistic boundary conditions; (a, e, k) IV. assess the accuracy of computer-generated solutions by comparing them with experimental data and/or analytical predictions; (a, b, e, k) V. design a mechanical component to meet specific performance requirements, create associated CAD drawings to document the design in a professional format, and support the design by appropriate application of engineering analysis software and traditional engineering analyses. (a, e, g, k)(Letters in parentheses after each outcome above represent the ABET student outcomes that aresupported by that particular course learning outcome7.)A key instructional concern
Page 23.65.2base of the device, allowing the handle to be fabricated without lamination, unlike the kits atStanford University, which relied on gluing in their assembly process. This created theopportunity to reuse kits each semester, as they could be assembled and disassembled eachsemester. The Rice Haptic Paddle also achieved higher handle forces up to 10N with a 10:1 gearratio6. (a) (b) (c) (d) (e)Figure 1. (a) The Stanford and John’s Hopkins Haptic Paddle. (b) The Rice University HapticPaddle. (c) The University of Michigan Haptic Paddle. (d) The Vanderbilt University HapticPaddle . (e) The University of Utah Haptic Paddle.Michigan University developed their own haptic device
final GPA of ‘A’ students is statistically higherthan the average final GPA of ‘B’ students, and both ‘A’ and ‘B’ students have astatistically higher average final GPAs than ‘C’, ‘D’, and ‘F’ students. Interestingly, theaverage final GPA of ‘C’ students is not statistically different than the average final GPAof ‘D’ students, but is higher than the average final GPA of ‘F’ students. There is nostatistical difference in average final GPA between ‘D’ and ‘F’ students. Note that thesample size of ‘F’ students is low across all courses. The ‘C’, ‘D’, and ‘F’ students in allcourses have an average final GPA below a 3.0, which is the typical industry cutoff forhiring. In all courses, ‘B’ students have an average final GPA right around the
) Given B Viscous Damping Coefficient Deduced from Given Data Kpot Potentiometer Gain (Volts/in) Measured Table 1: Nomenclature for System Model Page 13.763.6 Figure 4: Position-Controlled Hydraulic Cylinder Simulink® Model 4*Beta *Kp*Kamp *Kq*A/(M *Vt ) in in s3 +(4*Beta *Kce/Vt +B/M )s2 +(4*Beta *(A ^2+Kce*B)/(M *Vt))s+4*Beta
improve concept retention [1], [10]. This work was also motivated by the need tocreate a fully defined project package that can be used by all faculty teaching the course, includingadjuncts. In this way, EM can be introduced to a significant portion of the engineering student bodyfairly early in their university tenure.The course learning outcomes state that after taking the class, a student should be able to: a. Formulate and solve thermodynamics problems using the first and second laws of thermodynamics. b. Determine thermodynamic properties from steam tables. c. Apply the system approach and control volume analysis to thermal science problems. d. Solve fluid mechanics problems using the continuity, momentum, and energy
delicate balance between cleanroom capabilities vs. form factor, certain aspects of the sensor array were derived fromSolidWorks simulations of the fully constructed device. A prime example of this is the individualpressure sensor pitches of the array as presented in Figure 2(a). This distance was the result ofinputted dimensions for the known device elements (resistor width, resistor length, diaphragmsize, trace widths, and spacing between traces) and parametric equations tuned for distributing themost compact, yet manufacturable spacing of the diaphragms possible. Figure 2(b) displays the layout of an individual pressure sensor in the array with resistorsstraddling the edges of the membrane (hidden) in both orientations and joined by aluminum
educational efforts have focused on significantly growing the faculty, diversifying the faculty and students, and emphasizing interdisciplinary research. Dr. Thole has been recognized for her efforts in mechanical engineering education and diversity as a U.S. White House Champion of Change, and by ASME’s Edwin F. Church Medal, ABET’s Claire L. Felbinger Diversity Award, and SWE’s Distinguished Engineering Educator Award. She has also been recognized for her faculty mentoring efforts through Penn State’s Rosemary Schraer Mentoring Award and Howard B. Palmer Faculty Mentoring Award. American c Society for Engineering Education, 2021A New Approach to Equip Students to
ddesigned for UPF. The R Rockn’ Bowleer allows a person with partial p quadrriplegia to boowl. This devvice is a “high-end”attachmeent for the Un niversal Playy Frame, giv ving the userr a great deall of control oover the spinn andplacemen nt of the balll. Perhaps th he most uniqu ue feature off the Rock nn’ Bowler is the powereddspinning rail system that can be used u to add spin s to the b all. As the bball rolls dow wn the ramp,, itcomes inn contact with h two rails spinning
on Teaching and Learning in Higher Education (ICTLHE 2012), Malaysia, pp. 183-190.[8] B. J. Zimmerman, “Becoming a self-regulated learner: Which are the key subprocesses?” Contemp. Edu. Psychol. vol. 11. no. 4, pp. 307-313, 1986.[9] P. R. Pintrich, “A conceptual framework for assessing motivation and self-regulated learning in college students,” Educ. Psychol. Rev, vol. 16, no. 4, pp. 385-407, 2004.[10] S. M. Elias and S. MacDonald, “Using past performance, proxy efficacy, and academic self-efficacy to predict college performance,” J. Appl. Soc. Psychol, vol. 37, no. 11, pp. 2518-2531, 2007.[11] A. Bandura, Self-Efficacy: The Exercise of Control, NY: W. H. Freeman and Company, 1997.[12] C. D. Spielberger, Test
-power pulsed laser(s), sheet optic(s), digitalimager(s), and processing software. Figure 1. A simple laboratory PIV system consisting of a digital camera, a pulsed wave laser, sheet optics, and seeding particles. To date, each of these hardware/software technological problems have been individuallysolved. The modern availability of LED “laser” pointers, increasing quality of smartphonecameras, and improvements in smartphone processing speed now provide economical, safe, andaccessible illumination, imaging, and image processing capabilities for smartphone PIV.However, while open source algorithms exist for PIV [12], they a) do not port to modern mobiledevices and b) are not equipped with interfaces that guide
were implemented this early in the curriculum at ourinstitution. Such efforts have however been reported in literature [10], indicating similar goals ofhelping to enhance student learning; linking theory with real-world applications, and helping todevelop career-ready students prepared for job market requirements when they graduate. Thatstudy described implementation of two energy-related student projects using COMSOL andmentioned that assessment of students’ satisfaction with the experience based on survey data wasoverall positive, but survey data was not included [10]. Our project incorporated three scaffolded and contextualized simulations that develop:(a) technical competency in modeling, (b) deeper understanding of thermo-fluids
? 3.5 3 2.5 2 AP A B+ B C+ C D ? GPA Calculus I GradeFigure 1. The distribution of grade point average (GPA) and grade in Calculus I for the two sections of EMCH 201 were similar.Both sections were taught by the same professor and evaluated with the same methods. For mostof the semester, both sections were taught at the same time in a sixty-person classroom.However, the two sections received differentiated instruction at four times during the semester.During each
learning outcomes[1]. Some alternative approaches can be implemented to compare the effectiveness of the proposedrobot-based approach with that of the alternative approaches. The studies will need to be moreorganized and systematic.References 1. S. M. M. Rahman, V. J. Krishnan, V. Kapila, “Optimizing a teacher professional development program for teaching STEM with robotics through design-based research,” in Proc. of 2018 ASEE Annual Conference & Exposition, June 24 - 27, 2018, Salt Lake City, Utah, USA, Paper ID #21572, pp.1-20. 2. S. M. M. Rahman, S. M. Chacko, S. B. Rajguru, V. Kapila, “Determining prerequisites for middle school students to participate in robotics-based STEM lessons: a computational
wind turbine Coherent Application Thread woven through Boston University Mechanical Engineering curriculum Page 22.770.8 CATs COHERENT A! PPLICATION THREADS ! "#$! %&!!!!'("!#)*+,+-.+*/01,+2345!-41.+326! ! 784!9:;(-,1545!:+35!9*.-+34!68;:3!+3!984! 6<49=8!+6!+3!984!>,;=<45?!;.!>-.1<45?! =;35+9+;3@!98;*28!984.4!1.4!69+,,!14.;5A31/+=! B;.=46!;3!984!-,1546@!16!68;:3@!5*4!9;!984! :+35&!!784!-.1<4!B;.=4!9819!<44C6!984!.;9;.! ,;=<45!+6!D
fluids were poured into the graduated cylinders after the entiresystem had been set up. The cost for materials and supplies for this apparatus is $123.76. (a) (b) Figure 1. The tripod damper system (a) CAD model, (2) prototype Figure 2. Fabrication of the tripod damper system2.2 ExperimentsThe lead weights connected to the cylinder filled with water were first pulled down to 2 inchesfrom their equilibrium position and then released from there to cause the oscillation of the leadsand spring within the water. Following the same approach, the oscillations of the system withinthe olive oil and maple syrup were also observed and recorded. The same
involved in TOT or ifthey all share some of the same mechanisms, as suggested by the correlations between the threevariables, the hierarchical regression would account for that in level two and the unique,additional GRD variance explained by TOT could be assessed in level three. None of the levelone or two predictor variables were able to explain a significant proportion of GRD variance.However, the SCI posttest, entered as level three, was able to predict a significant additionalproportion of the course grade variance. The results are provided in Table 9. Page 14.119.8 B SE B β