changes in those courses can impact student learning and retention. American c Society for Engineering Education, 2021 Advancing computational knowledge and skill through computing projects in sophomore-level mechanics coursesAbstractThe desire to graduate students with more advanced computational knowledge has become a hot topic incurriculum design. One route to do that is through integration of computing in the foundational mechanicscourses (statics, dynamics, and solid mechanics). The implementation of computing projects in thesesophomore-level courses has resulted in computing becoming an integral part of those courses at
Paper ID #33471The Affordance of Computer-Supportive Collaborative Learning in aDynamics CourseDr. Yonghee Lee, Purdue University at West Lafayette Postdoctoral Associate at Purdue UniversityProf. Jennifer DeBoer, Purdue University at West Lafayette (COE) Jennifer DeBoer is currently Assistant Professor of Engineering Education at Purdue University. Her research focuses on international education systems, individual and social development, technology use and STEM learning, and educational environments for diverse learners.Prof. Jeffrey F. Rhoads, Purdue University at West Lafayette (COE) Jeffrey F. (Jeff) Rhoads is a
Paper ID #11310Application of Computer Simulation and Animation (CSA) in Teaching andLearning Engineering MechanicsMr. Moe Tajvidi, Utah State University Moe Tajvidi is a PhD student in engineering education at Utah State University. His BSc and MS degrees are in civil and structural engineering and he has a sixteen year long career experience in structural engi- neering along with four years of college instruction of both basic and advanced civil engineering courses. In his teaching experience he has been committed to introducing real life engineering problems to the learning environment. The subjects he has taught
theachievement of specific learning outcomes. We focus on video solutions to problems, and mapstudent perceptions about the usefulness of the videos onto the learning outcomes for the course.Then, we map each graded assignment (homework, quiz, exam) onto those same learningoutcomes, and compute an average score for each student on each learning outcome. We usestudent background information and data about total video consumption to further enrich thediscussion.The results indicate that some students find video resources crucial to their academic success,across learning outcomes, while other students extract little value from the video resources.These students indicate that they prefer to work alone, with another technology (i.e., thetextbook), or in
Paper ID #13585Evidence of Learning Gains in Statics as a Result of Simulation-Based In-structionDr. Christopher Papadopoulos, University of Puerto Rico, Mayaguez CampusDr. Aidsa I. Santiago Roman, University of Puerto Rico, Mayaguez CampusDr. Genock Portela-Gauthier, University of Puerto Rico, Mayaguez Campus Genock Portela is Associate Professor and Associate Director in the Department of General Engineering at the University of Puerto Rico, Mayaguez. He earned a Ph.D. degree in civil engineering at the Univer- sity of Puerto Rico, Mayaguez (2004). Portela has primary research and teaching interests in structural mechanics
Theory, Signals and Systems, Electromagnetic Theory, Dig- ital Signal Processing, and Dynamic Modeling and Control. His research interests include Engineering Education, Robotics, Applied Digital Control, and Signal Processing.Joseph D Legris, Roger Williams University School of Engineering, Computing and Construction Management I am a fourth year undergraduate student pursuing a degree in Mechanical Engineering. I have experience in Matlab, SolidWorks, C+ language, and all Microsoft office applications. I have spent my career thus far involved in autonomous robotics design, dynamic modelling,and material studies. I am currently part of a bio medical design team entering the VentureWell design competition.Charles FlynnMr
COMPUTER TUTOR VERSUS SOLVING PROBLEMS BY HAND: A COMPARISON IN STATICSIntroductionInstructors increasingly seek to use computer-based technologies to enhance instruction in theirclassrooms. Recently, integration of video and web technologies has made it feasible for lecturetype material to be provided readily to students outside of the classroom. It is more challengingto provide computer-based learning tools outside that enable students to practice using conceptsand skills they have learned and to receive timely feedback, which is known to improve learning1-4 . There have been examples of computer systems to allow students to practice and receivefeedback in the realm of statics in particular, steps5-7.It is particularly
Paper ID #6516Computer Simulation and Animation in Engineering Mechanics: A CriticalReview and AnalysisOai ”Andy” Ha, Utah State University Oai Ha is currently a Ph.D. student in the Department of Engineering Education in the College of En- gineering at Utah State University. He works as a graduate research assistant on a research project that focuses on studying the effect of computer simulation and animation on student learning in engineering dynamics. He received his B.S. in Mechanical Engineering from the University of Technology, Hochim- inh City, Vietnam, and his M.S. in Mechanical Engineering from California
Paper ID #34252Work-in-Progress: Computer Simulations to Deliver Inquiry-BasedLaboratory Activities in MechanicsMr. Jacob Matthew Cook, Oregon State University Jacob Cook received his Honors B.S. in Bioengineering and his Honors B.S. in Electrical and Com- puter Engineering from Oregon State University in Spring 2020. During his undergraduate studies he was a researcher and software developer for the Koretsky Education group, focusing on web-based JavaScript physics simulations. His primary research interests include engineering education, biomed- ical devices/instrumentation, integrated circuit design, computational
ideas.The computer system, including the Learning Dashboard described further below, allowsinstructors to track student on-line learning activities and to identify the concepts and skills thatstudents still need to master, which can be addressed in the upcoming class. Class time, whichoffers opportunities for deeper student-instructor interactions, can then be used to addressstudents’ remaining questions and more complex or interesting applications.The tracking of student activities for the purpose of informing the instructor has anotherimportant benefit: we can more easily quantify how much students engage in the materials. Wecan then investigate whether increased engagement tends to lead to better performance. Yet, onemust recognize that students
. Page 26.1587.1 c American Society for Engineering Education, 2015 Torsion Mobile App for Engineering Education Using a High Performance Computer (HPC) ClusterAbstractEngineering students are rapidly expecting learning tools to be delivered on their tablets andsmart phones, including simulation tools for basic courses such as solid mechanics. To addressthis issue, a basic torsional stress simulation tool for mobile devices was developed andimplemented into a traditional first year solid mechanics class (Mechanics of Materials). The app,Torsion HPC, allows students to determine shear stresses for a variety of common torsional barcross sections. The app was used in class for discussion
AC 2012-3848: ONLINE, INTERACTIVE, 3D FINITE ELEMENT STRESSANALYSIS USING HIGH-PERFORMANCE COMPUTING (HPC) CLUS-TERMr. Zachary Vick, University of Oklahoma Master’s CandidateDr. Kurt C. Gramoll, University of Oklahoma Page 25.1010.1 c American Society for Engineering Education, 2012 Online, Interactive, 3D Finite Element Stress Analysis Using High-Performance Computing ClusterAbstractUtilizing a remote, high-performance computing (HPC) cluster for solving 3D finite elementmethod (FEM) problems was investigated to develop a tool for engineering education. An online,interactive engineering tool was
AC 2008-2105: LEARNING STATICS – A FOUNDATIONAL APPROACHSridhar Condoor, Saint Louis University, Parks College of Eng.Sanjay Jayaram, Saint Louis University, Parks College of Eng.Lawrence Boyer, Saint Louis University Page 13.845.1© American Society for Engineering Education, 2008 Learning Statics – A Foundational ApproachStatics is a pivotal course, whose concepts serve as the building blocks for future courses inengineering, mechanics of solids and design in particular. There is a common disappointmentamong many educators in the students’ abilities to apply the concepts to design/analyze realsystems in the subsequent courses. The literature review also
. Page 15.120.4The learning students experience is dynamic as students use various processes and methods toexplore the project.The projects for the graduate structural course have several objectives: (1) to allow students totackle a larger and more realistic civil engineering problem, (2) expose students to computationaltools used in solving civil engineering problems, (3) evaluate critical thinking andcommunication skills. The projects are designed to solved by student teams, who are told theyare acting as consultants on the project posed. These projects are open ended problems withmultiple possible solutions and are designed to emphasize interpretation of numerical resultsrather than pure numerical computations. The content objectives of the
Paper ID #15770Improving Students’ Learning in Statics Skills: Using Homework and ExamWrappers to Strengthen Self-regulated LearningKai Jun Chew, Stanford University Kai Jun (KJ) Chew is a Research Data Analyst in the Mechanical Engineering department at Stanford University. He is currently working closely with Dr. Sheri Sheppard on two fronts: introducing reflec- tive activities as part of the Consortium to Promote Reflection in Engineering Education (CPREE) and implementing the Continuous Improvement Program as part of the ABET evaluation. Born and raised in Malaysia, KJ received his Bachelor of Science in Mechanical
Paper ID #34980Toward Benchmarking Student Progress in Mechanics: Assessing LearningCycles through Mastery Learning and Concept QuestionsDr. Christopher Papadopoulos, University of Puerto Rico, Mayaguez Campus Christopher Papadopoulos is Professor in the Department of Engineering Sciences and Materials at the University of Puerto Rico, Mayag¨uez Campus (UPRM). He earned B.S. degrees in Civil Engineering and Mathematics from Carnegie Mellon University (1993) and a Ph.D. in Theoretical and Applied Mechanics at Cornell University (1999). Prior to UPRM, Papadopoulos served on the faculty in the Department of Civil
thechanging nature of our technological world. Cars that are computer controlled are not ones thatlend themselves to “tinkering.” Likewise, the microelectronics that runs through most all moderntechnological artifacts present our nascent engineers with little of the opportunity for hands-onlearning that so typified the pre-college experience of their counterparts in years past.On the other hand, students are very comfortable with videos and, hopefully, reasonably welloriented toward simulation/animation software. Their inclinations can be used [1], in a properlydesigned course, to enhance learning [2], [3], [4].What the authors have tried to do is add a new component to what have traditionally been pureanalysis courses as a way of addressing this
Paper ID #9243Developing Web-Assisted Learning Modules in Vector DynamicsDr. Paul Morrow Nissenson, California State Polytechnic University, Pomona Paul Nissenson (Ph.D. Mechanical & Aerospace Engineering, University of California, Irvine, 2009) is an Assistant Professor in the Department of Mechanical Engineering at California State Polytechnic Uni- versity, Pomona. He teaches courses in fluid mechanics, thermodynamics, and numerical methods. Paul’s research interests are computer modeling of atmospheric systems and studying the impact of technology in engineering education.Dr. Jaehoon Seong, California State
AC 2008-2537: ASSESSING COGNITIVE REASONING AND LEARNING INMECHANICSChris Papadopoulos, University of Wisconsin - Milwaukee Chris Papadopoulos earned BS degrees in Civil Engineering and Mathematics from Carnegie Mellon University, and a PhD in Theoretical and Applied Mechanics, Cornell University. He previously served on the faculty of Engineering at the University of Wisconsin-Milwaukee, where he is currently a research associate, grant writer, lecturer, and director of educational programs. His research interests include biomechanics, nonlinear structural mechanics, computational mechanics, engineering education, and engineering ethics. He is an active member of American Society for
, specializing in computational modeling of dynamic deformations in solids. His areas of technical expertise include solid mechanics, crystal plasticity, vibration, and fluid-structure interaction. He received his Ph.D. from Rutgers University in 2001. Page 23.995.1 c American Society for Engineering Education, 2013 Project-Based Learning: Teaching Engineering Design Not TinkeringAbstract Engineering educators are continually faced with the challenge of supplying employerswith young engineers who possess the skills necessary to analyze and solve real industrialproblems. Industry has
Champaign-Urbana.7. Bucciarelli, L. (2002). Between thought and object in engineering design, Design Studies, 23(3), 219-231.8. Boyle, J. & Weishaar, M. (2001). The effects of strategic note-taking on the recall and comprehension of lecture information for high school students with learning disabilities. Learning Disabilities Research and Practice 16(3), 133-141.9. Kiewra, K., Benton, S., Kim, S., Risch, N. & Christensen, M. (1995). Effects of note-taking format and study technique on recall and relational performance. Contemporary Education Psychology, 20, 172-187.10. Trafton, J. & Trickett, S. (2001). Note-taking for self-explanation and problem solving. Human-Computer Interaction, 16, 1-38.11. Chi, M
for learning engineering. Question Category (10 questions each) AVG. A. Confidence with learning engineering 3.8 B. Confidence using computers and other technologies 3.8 C. Attitude toward computers etc. for learning engineering 3.7 Exhibit 4: Student Survey Category Averages - Learning Confidence, Technology Confidence, and Learning Technologies Attitudes [SCALE: 5=strongly agree, 3=neutral, 1=strongly disagree] (n=27 for A&B, 21 for C)2.2 Software Testing Results Per-student: Tutorial completion, Homework Completion, Exam ScoresThree of the
Some Results,” Proceedings of the 2005 ASEE Annual Conference & Exposition, Portland, OR, June 12-15, 2005.[18] Tajvidi, M. S, and Fang, N. 2015, “Application of Computer Simulation and Animation (CSA) in Teaching and Learning Engineering Mechanics,” Proceedings of the 2015 ASEE Annual Conference & Exposition, Seattle, WA, June 14-17, 2015.[19] Coller, B., 2011, “First Look at a Video Game for Teaching Dynamics,” Proceedings of the 2011 ASEE Annual Conference & Exposition, Vancouver, BC, June 26-29, 2011.[20] Egelhoff, C. J., Podoll, N., and Tarhini, K., 2010, “Work in Progress - A Concept Map for Mechanics of Materials,” Proceedings of the 40th ASEE/IEEE Frontiers in Education Conference
Paper ID #16487Preliminary Analysis of Spatial Ability Improvement within an EngineeringMechanics Course: StaticsSteven David Wood, Utah State University - Engineering Education Steven Wood is a junior in the Civil Engineering program. After finishing his BS he plans on completing a MS in Civil Engineering. In addition to studies, he is a teacher’s assistant and he teaches a recitation class for the Statics course. His Interests in the field of engineering are public transportation, specifically in rapid and heavy rail systems. His research interests include spatial ability, learning styles, and gender differences in
Paper ID #29087Effective PocketLab Sensor Use in an Engineering Dynamics CourseDr. Timothy Aaron Wood, The Citadel Timothy A Wood is an Assistant Professor of Civil and Environmental Engineering at The Citadel. He acquired a Bachelor’s in Engineering Physics Summa Cum Laude with Honors followed by Civil Engi- neering Master’s and Doctoral degrees from Texas Tech University. His technical research focuses on the intersection of soil-structure interaction and structural/geotechnical data. He encourages students pushing them toward self-directed learning through reading, and inspiring enthusiasm for the fields of structural
Paper ID #15591Analyzing an Abbreviated Dynamics Concept Inventory and Its Role as anInstrument for Assessing Emergent Learning PedagogiesMr. Nick Stites, Purdue University, West Lafayette Nick Stites is pursuing a PhD in Engineering Education at Purdue University. His research interests include the development of novel pedagogical methods to teach core engineering courses and leveraging technology to enhance learning experiences. Nick holds a BS and MS in Mechanical Engineering and has eight years of engineering experience. He also has four years of experience as an adjunct instructor at the community-college and
sense. • Equations of force equilibrium along x-y, and equations of moment equilibrium about any pin, can be written. Page 24.413.4While students are free to carry out the actions just described, in devising the tutor we have madesome non-obvious choices regarding: what constitutes a correct subsystem and what must bedone to fully specify a free body diagram. These choices, which serve largely to make his or herthinking more visible to the student and to the tutor, are described in the next section.In summary, we seek to develop a computer tutor with a simple, easily learned user interface thatgives students reasonably wide latitude
engineering students to develop a facility for applying Newtonian mechanics to problems ofinterest in engineering. Understanding the relationship between force and motion is vital toaccessing more advanced knowledge in civil, mechanical, and aerospace engineering.With the emergence of computational mechanics and the ubiquity of commercial codes inindustry, a shift has occurred in what students need to know from their foundational mechanicscourses. While the basic concepts are unchanged, the nature of what students need to do in theprocess of learning those concepts has changed, especially for dynamics. A close look at theproblems in standard textbooks on dynamics reveals what might be termed ‘snapshot’ dynamics.In essence, dynamics has traditionally
Paper ID #21931Statics Modeling Kit: Hands-On Learning in the Flipped ClassroomMr. Eric Davishahl, Whatcom Community College Eric Davishahl is faculty and engineering program coordinator at Whatcom Community College. His teaching and research interests include developing, implementing and assessing active learning instruc- tional strategies and auto-graded online homework. Eric has been a member of ASEE since 2001. He currently serves as chair of the Pacific Northwest Section and was the recipient of the 2008 Section Out- standing Teaching Award.Mr. Russell Pearce, Whatcom Community College Russell Pearce has worked
your learning?”Using multiple colors for text elementsIt is common practice in engineering mechanics texts to use different colors to highlight keywords or equations and to differentiate between, say, force vectors (e.g., red) and velocityvectors (e.g., green). However, example problems in textbooks typically do not utilize muchcolor outside of diagrams, that is, equations and other information are generally all one color –black. A great advantage of screen-captured examples is that, when coupled with the “right”software for writing on a computer screen with a pen input and manipulating images6,7, colormay be used effortlessly and more extensively during the solution process in ways that areuncommon in a traditional print medium for various