, B., Lane, J. L. (2005). The dynamics concept inventory assessment test: A progress report and some results. Proceedings of the 2005 ASEE Annual Conference and Exposition, Portland, OR.[5] Streveler, R. A., Litzinger, T. A., Miller, R. L., Steif, P. S. (2008). Learning conceptual knowledge in the engineering sciences: Overview and future research directions. Journal of Engineering Education, 97 (3):279-294,.[6] Flori, R. E., Koen, M. A., Oglesby, D. B. (1996). Basic Engineering Software for Teaching (BEST) dynamics. Journal of Engineering Education, 85(1), pp. 61-67.[7] N. Fang, Y. Guo. (2016). Interactive computer simulation and animation for improving student learning of particle kinetics. Journal of Computer Assisted
, assembled, stored, and transported. The simulation models in our proposed ISBL modules provide realistic animations and can be explored on a 2D display (low-immersion mode) or via a virtual reality (VR) headset (high-immersion mode). b. A PBL activity that mimics real-world problems/projects that arise in the system being modeled, hence resembling situations that learners may encounter at a future workplace.By treating the immersive simulation environment as a real-world system, both formal andinformal learning are enabled by own actions of the learners during and after virtual site visits. Inother words, instead of physically visiting a real-world facility, students perform virtual visits ofthe simulated system to make
Paper ID #7910E-Book on DSP Theory with Interactive iOS, Java, and Android SimulationsProf. Andreas S Spanias, Arizona State University Andreas Spanias is a professor in the School of Electrical, Computer, and Energy Engineering at Arizona State University. He is also the founder and director of the SenSIP industry consortium. His research interests are in the areas of adaptive signal processing, speech processing, and audio sensing. He and his student team developed the computer simulation software Java-DSP (J-DSP - ISBN 0-9724984-0-0). He is author of two text books: Audio Processing and Coding by Wiley and DSP; An
Implications." ECAR Research Bulletin 3, 2010.23. A. Lesgold, "SHERLOCK: A Coached Practice Environment for an Electronics Troubleshooting Job," 1988.24. J. Moreland, S. Dubec, T. Okosun, X. Wang, C. Zhou, “A 3D Wind Turbine Simulator for Aerodynamics Education,” Proceedings of the ASME International Mechanical Engineering Congress & Exposition, IMECE, San Diego, CA, November, 2013.25. D. Fu, et al., "Integration of Numerical Simulation Data with Immersive 3D Visualization." Proceedings of the International Conference on Modeling, Simulation and Visualization Methods (MSV). The Steering Committee of The World Congress in Computer Science, Computer Engineering and Applied Computing (WorldComp), 2013.a26. M. I. Zelaya, et al
, and information systems. Dr. Ozden has published in various journals/conferences including Computers and Operations Research and Naval Research Logistics. His website address is https://www.gokhanozden.com.Dr. Ashkan Negahban, Pennsylvania State University, Great Valley Dr. Ashkan Negahban is an Associate Professor of Engineering Management at The Pennsylvania State University, School of Graduate Professional Studies. He received his Ph.D. and master’s degrees from Auburn University (USA) and his BS from University of Tehran (all in Industrial and Systems Engi- neering). His research involves stochastic simulation methods, primarily agent-based and discrete-event simulation. He also conducts research related to
mindset beliefs while encouraging deliberate practice, self-checking, and skill improvement as students work.Mr. Zhiyi Li, Virginia Tech/Department of Computer Science I am a Ph.D. graduate student in Department of Computer Science in Virginia Tech since Fall, 2013. My research interests is computer science education. Before that, I worked as a research staff in School of Medicine in University of Virginia from 2007 to 2013. I hold a Master degree in Computer Science in Virginia Tech. Master degree in Computer Science and Chemistry in Georgia State University in Atlanta, GA. I obtained my Bachelor degree of Engineering in East China University of Science and Technology in Shanghai, China
recognition. He has authored or co-authored more than 60 technical journal and conference papers on these topics. He is a Senior Member of IEEE and member of ASEE. Page 25.1396.1 c American Society for Engineering Education, 2012 Understanding the Difference between Classroom Learning and Online Learning on Medical Imaging with Computer Lab ExercisesAbstractIn this paper we present a study on the effectiveness of using a computer simulation software,SimuRad, in an undergraduate Medical Imaging course. This course is offered regularly in twodifferent modes, i.e. an on-campus section in every Fall
AC 2012-4437: AUTOMATED PROBLEM AND SOLUTION GENERATIONSOFTWARE FOR COMPUTER-AIDED INSTRUCTION IN ELEMENTARYLINEAR CIRCUIT ANALYSISMr. Charles David Whitlatch, Arizona State UniversityMr. Qiao Wang, Arizona State UniversityDr. Brian J. Skromme, Arizona State University Brian Skromme obtained a B.S. degree in electrical engineering with high honors from the University of Wisconsin, Madison and M.S. and Ph.D. degrees in electrical engineering from the University of Illinois, Urbana-Champaign. He was a member of technical staff at Bellcore from 1985-1989 when he joined Ari- zona State University. He is currently professor in the School of Electrical, Computer, and Energy Engi- neering and Assistant Dean in Academic and
mathematical engine is coded in JavaScript. For a realistic simulation, we usethe nonlinear magnetization characteristic of the machine rather than the linear model commonlyfound in textbooks. Also, a random number generator has been used to vary the induced voltageof the machine slightly around that of the nonlinear model so that students will see differentresults every time they do an ‘experiment’. This paper is a ‘work-in-progress’ report on the development and integration of thearchitecture necessary for the implementation of a virtual electric machine laboratory. Section 2summarizes the computer aided learning systems with special emphasis on softwareenvironment for electrical machines. The architecture of the virtual laboratory is presented
, the instructor can help students understand abstract concepts. Especially in scienceand engineering courses, where the concepts involved can be complex and sometimes impossibleto demonstrate via an experiment due to the time scales, length scales of the processes or evensafety concerns. Although the concept of learning styles is much debated6-10, more and moreeducators have started adopting technologies like Smartboards, computer simulations, videos,animations, e-books, interactive e-books, online learning module templates, online grading tools,video games5, etc. The percentage of students enrolled in online courses went from 9.6% in Fall2002 to 32% in Fall 201111. Going beyond the traditional lecture-notes methodology, is not onlybecoming an
research is on the use of self-regulation strategies commonlyapplied to solve problems requiring “recursive and non-recursive mechanism.” Thinkingrecursively is one of the strategies of computational thinking. Computational thinking ispopularly defined as a way of solving problems, designing systems, and understanding humanbehavior that draws on concepts fundamental to computer science. The hypothesis of thisresearch is that students with experience in applying a computational thinking strategy will usedifferent self-regulation strategies than less experienced ones.REU Research Project 2: Effect of Computer Simulation and Animation on Students’Motivation, Self-Regulation, and Cognitive Strategies in Engineering DynamicsThe research focuses on a
presented a student with problems andcompared the student’s responses to the pre-scored answers. If necessary, these CAI programsprovided the student with canned remedial responses. Improvements were continuously madeuntil computer-aided instruction systems evolved into intelligent tutoring systems when artificialintelligence techniques were used to embed explicit knowledge of the subject matter. AnIntelligent Tutoring System attempts to simulate the behavior of an intelligent human tutor inaddition to acting as a domain expert. The characteristics of an Intelligent Tutoring Systeminclude the ability to teach a given subject, and to detect student’s errors, and to assist the studentcorrect her mistakes10,11. Advancements in software over the last
of Business from Baker College. Currently, Mark is completing his disser- tation in fulfillment of the requirements of a Doctorate in Educational Leadership from Central Michigan University.Mr. James Walker, Michigan Technological University James Walker holds an M.S. in computer science from Michigan Technological University, where he currently performs virtual reality research in pursuit of his Ph.D. He was the lead software developer for the robotics simulator described in this paper. c American Society for Engineering Education, 2016 Revamping Robotics Education via University, Community College and Industry Partnership - Year 1 Project ProgressAbstractRecently, educators
engineering texts on classical controls, linear systems, and multivariable control. Dr. Rodriguez has given over 70 invited presentations - 13 plenary - at international and national forums, conferences and corporations. Since 1994, he has directed an extensive engineering mentoring-research academic success and professional development (ASAP) program that has served over 500 students. These efforts have been supported by NSF STEP, S-STEM, and CSEM grants as well as industry. Dr. Rodriguez’ research inter- ests include: control of nonlinear distributed parameter, and sampled-data systems; modeling, simulation, animation, and real-time control (MoSART) of Flexible Autonomous Machines operating in an uncertain Environment
Display. Electronic files suitable for printing at poster size for classroom display areavailable, including the “Engineering Design Loop” and a “Design Target” specific to each unit.Video Content. The curriculum uses professionally produced video segments to introducestudents to the real world application and societal need behind each engineering designchallenge. Videos are also included to introduce students to career pathways related to the unitcontent.Online Animations and Mathematical Simulation. All units include an online mathematicalsimulation that allows students to vary parameters specific to the design challenge. In doing so,students explore quantitatively how these changes affect system performance. Selected unitsalso include online
Purdue University, West Lafayette in 1989. In 2004, he joined the Virginia Commonwealth University as a Professor of Mechanical Engineering. He has taught previously at Purdue University campus in Indianapolis (IUPUI). He has taught several courses in design, mechanics of materials, optimization, and directed many interdisciplinary projects related to design. Dr. Pidaparti’s research interests are in the broad areas of multi-disciplinary design, computational mechanics, nanotechnology, and related topics. Dr. Pidaparti has published over 250 technical papers in refereed journals and conference proceedings. Dr. Pidaparti received a Research Initiation Award from the National Science Foundation and the Young
processes ofmedical imaging modalities, and to practice computing skills on bio-medical signal processing.The simulation software suite, SimuRad5, implements a series of numerical algorithms tosimulate the physical and biological processes in several common medical imaging modalities.The software contains expandable modules, each to support a serious lab exercises related to aparticular modality. Currently implemented modules include math fundamentals, computedtomography (CT), x-ray physics, nuclear magnetic resonance (NMR), image enhancement andanalysis. This assessment study involves six lab exercises, over which both student survey dataand direct assessment data were collected for analysis. Lab 1, Projection and Projection Slice Theorem
, linear systems, and multi-variable control. Dr. Rodriguez has given over 70 invited presentations–thirteen plenary–at international and national forums, conferences and corporations. Since 1994, he has directed an extensive engineering mentoring-research academic success and professional development (ASAP) program that has served over 500 students. These efforts have been supported by NSF STEP, S-STEM, and CSEM grants as well as industry. Dr. Rodriguez’ research inter- ests include: control of nonlinear distributed parameter, and sampled-data systems; modeling, simulation, animation, and real-time control (MoSART) of Flexible Autonomous Machines operating in an uncertain Environment (FAME); design and control of micro
to add FE analysis to their curriculum7-9,22-24,but these plans are not occurring fast enough to meet the demand of firms competing in theglobal economy. The National Science Foundation realized the need and has supported thiswork with a "Proof of Concept-Phase I" DUE CCLI Grant Award number 0536197 and mostrecently a TUES "Type 2 Collaborative Research at Several Institutions" DUE Award numbers1023034 and 1023064, respectively. All learning modules developed in six years of work areavailable free to US engineering educational institutions onhttp://sites.google.com/site/finiteelementlearning/home.Initially, we developed FE learning modules in six engineering areas: (1) structural analysis, (2)mechanical vibrations, (3) computational fluid
picture,” by using Adobe Flash Playeror Media Player, i.e., the component of “to see”. Furthermore, we leverage the new expression,“An interactive moving picture is better than a simple moving picture,” by adding interactivities,i.e., the component of “to do”. The hypothesis for our research project is that interactiveanimation- or simulation-featured online course materials increase teaching efficiency andpromote effective leanring. The objective of the project is to design and implement an onlineuser-interactive teaching/learning system, featuring animation and simulation for physicalprinciples, mathematical derivations and engineering implementations, so as to fulfill themedical imaging education tasks optimally.Advanced DesignMedical imaging
/chemistry principles and simulations for engineering implementations.The animations or simulations are interfaced with user-adjustable parameters or settings so thatthe physics/chemistry/engineering principles can be dynamically and interactively demonstrated.A “live” medical imaging device or component can be presented without accessing the realequipment. We have opened this teaching system in different size classes on all or selectedimaging modalities during the last few years. More than 200 students in three institutions haveaccessed the Website. The assessment result (pre/post) shows increased learning gains,especially significant in concept understanding.IntroductionMedical imaging education is popular in undergraduate engineering curricula
because of safetyissues, expenses, and lack of qualified teaching assistants. This paper presents the planning anddevelopment of a web-based application that can simulate a virtual laboratory for electricmachines. This Virtual Power Laboratory 1 (VPL) is developed on a universal web-basedplatform that can be accessed anywhere by most mobile devices and modern computers. As aproof of concept, nine virtual experiments have been developed for DC motors and generators.Machine concepts are summarized using text, 2D and 3D graphics as well as multimediaanimation. The animated graphical user interface (GUI) plays an important role as it enablesstudents to review and retain basic concepts by building a bridge from the virtual environment tothe real
presentationsoftware (PS), probes/sensors (PROBE), computer simulations (SIM), spreadsheets (SS),computer assisted design (CAD), programming (PGM), digital images (DI), animations (ANIM),and interactive visualizations (IV) (Maeng & Gonczi, 2020). Given this range of technologiesthat support the design process we would expect ideal engineering instruction to include thesetechnologies in increasingly complex ways from elementary through high school years ifinstruction mirrors real-world, authentic engineering.Instructional Contexts: Where the Dream Hits the RoadMany contextual factors influence whether integrated science instruction occurs in K-12classrooms including practical challenges, teacher preparation, and teachers’ beliefs. Regardingpractical
animated educationalsimulations of processes, such as traffic control and batch mixing, to show how a ladder diagramrelates to an automated process. Students can start and stop the animations, and study thecorresponding ladder diagram for certain conditions or cases. In addition, ____ has developed anIntegrated Virtual Learning System for Programmable Logic Controller (Virtual PLC). Thisweb-based system uses a combination of animations, simulations, intelligent tutoring systemtechnology, and games to teach about programmable logic controllers [2, 3, 4]. Both of thesesystems are good examples of how technology can be used to help students learn simple PLCprogramming concepts. However, for learning to write complex programs, there is no
setting by visualizing and interpreting therotation of 3D objects. Each question prompts students to mentally picture the rotation of anorange object based on the animated yellow object and select the correct option from fourchoices by tapping the corresponding shape. Visual and auditory aids, such as animations, colorchanges, and voice commands, are employed to enhance the user experience, providing real-timefeedback on the correctness of their answers. This activity aims to enhance students' cognitiveand spatial reasoning skills, preparing them for the subsequent simulation lab. 2024 ASEE Annual Conference Figure 1. Tutorial Session and Simulation Lab of the MR ModuleFollowing the tutorial, a
].Development of Virtual Environments and ScenariosThe VR development process in Fig. 1 involved five key steps. The Unity game engine and XRinteraction packages created immersive environments compatible with VR hardware (i.e., theMeta Quest 2). Secondly, modeling and animation were achieved using tools like the Unity AssetStore, Mixamo, and Blender, enabling the creation of intricate 3D assets and customizable avatarmovements. Additionally, the VR environment was programmed with C# within Visual StudioCode, enabling the scripting of different interfaces, interactable objects, and avatar animations toensure dynamic user engagement. Subsequent hardware setup included configuring the MetaQuest 2 headset, a computer, and motion controllers, facilitating
alleviating limitations in equipment availability is to make PLC educationvirtual. For example, LogixPro (http://www.thelearningpit.com/) employs animated educationalsimulations of processes, such as traffic control and batch mixing, to show how a ladder diagramrelates to an automated process. Students can start and stop the animations, and study thecorresponding ladder diagram for certain conditions or cases. In addition, Hiseh has developedan Integrated Virtual Learning System for Programmable Logic Controller (Virtual PLC). Thisweb-based system uses a combination of animations, simulations, intelligent tutoring systemtechnology, and games to teach about programmable logic controllers 7-9. Both of these systemsare good examples of how technology
® gasification process for the production of syngas. International Seminar on Gasification andMethanation, Gothenburg, Sweden, 2007.16. Abu-Hajar, A.; Holden, M. INTERACTIVE COMPUTER-BASED VIRTUAL CLASSROOM FOR ENGINEERING COURSES. American Society for Engineering Education, Honolulu, Hawaii, 2007; p 1808. Page 26.986.1017. Fang, N.; Stewardson, G. A.; Lubke, M. M. Enhancing Student Learning of an Undergraduate Manufacturing Course with Computer Simulations. Int. J. Engng Ed. 2008, 558-566. 918. MIT. Open Courseware. http://ocw.mit.edu/index.html.19. Hogan, K., Pressley, M
simulation and animation on students’metacognitive knowledge and strategies in engineering dynamics, a foundational yet difficultundergraduate engineering course. The project team designed the following two research Page 26.99.5questions: What metacognitive knowledge do students use in solving engineering dynamicsproblems with a computer simulation and animation module? How do computer simulation andanimation modules affect the metacognitive knowledge and skills of students in solvingengineering dynamics problems? The REU students applied qualitative research methodology toanswer these research questions.Project 3 aims to identify student-oriented
System," 18th WorldIMACS Congress and MODSIM09 International Congress on Modelling and Simulation, ed. R. S. Anderssen, R. D.Braddock and L. T. H. Newham, Modelling and Simulation Society of Australia and New Zealand and InternationalAssociation for Mathematics and Computers in Simulation, July 2009, p.988-994,http://www.mssanz.org.au/modsim09/C4/tarboton_C4.pdf.2. Tarboton, D. G., D. R. Maidment, I. Zaslavsky, , D. P. Ames, J. Goodall, and J. S. Horsburgh (2010), CUAHSIHydrologic Information System 2010 Status Report, Consortium of Universities for the Advancement of HydrologicScience, Inc, 34 p, http://his.cuahsi.org/documents/CUAHSIHIS2010 StatusReport.pdf. [PDF; 1.27MB; 34 pages]3. Gupta, V. K. (WEB Chair), 2001: Hydrology