Hansen, D., “Teaching undergraduate kinetics using LEGO Mindstorms race car competition,” Proceedings of the 2004 ASEE Annual Conference and Exposition, Session 3668, 2004.10. Jaksic, N. and Spencer, D., “Multidisciplinary Robotics Experiment: LEGO Mindstorms NXT Bluetooth Convoy,” International Journal of Modern Engineering, Vol. 10, No. 1, pp. 5 – 10, Fall/Winter 2009.11. Spencer, D. E. and Jaksic, N. I., “A Multidisciplinary Robotics Learning Environment: What Mindstorms and DARPA Urban Challenge have in Common,” Computers in Education Journal, Special issue on Novel Approaches to Robotics Education, Vol. 1/3, pp. 32-40, July – September, 2010.12. Jaksic, N., “DaNI-K: A Vision-based Robot Control Experiment with a
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
, including smartphones, laptops, robotics, and computer systems in cars, andfurther discussing sequencing, conditional statements, and debugging. Students were then givenmaterials to create a maze and asked to write instructions for an animal figurine to complete themaze. The second activity focused on sequencing and loops and required students to write downinstructions for a popular dance. Once instructions were placed in the correct order, studentsperformed the dance. The third activity integrated Language Arts with Scratch Stories for studentsto develop their own creative stories, including programming the plot and designing the scenes,characters, and actions. In the final activity, students used shapes, color, movement, and loops todesign their
to its extensive use for constructioneducation. General computing and information technologies and simulation in particular, havethe potential to act as a priceless complement to construction engineering and managementeducation.As technology rapidly changes, the importance of educating and training diverse populations ofcivil/construction engineering/science students becomes more critical. With the advances ininformation technology (IT) over the last decade, the traditional teaching format of having anindividual lecture to an audience has been supplemented, and in some cases, replaced by therapid development and implementation of new distance learning methods. Classroom use of ITfor teaching science, engineering and technology has increased
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
] designed a simulation based Line Balancing Decision Trainer with a goal ofimproving the skill of assembly line balancing through a series of lessons and practice sessions.This paper will describe the development of a game to help students to learn about industrialwiring of an automated system. Industrial wiring is an essential part of system integration—incombination with ladder logic programming, which synchronizes the motions of the I/Odevices—making it possible for automated systems to mass produce products. Figure 1 is aflowchart showing the structure of the game. The game consists of three parts: quiz, wiringexercise, and assembly line design. The rationale behind the quiz, which is patterned after “WhoWants to Be a Millionaire,” is to help
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
al.11 discuss the use of virtual reality to present the results of simulations as a “super”graphical animation that will lead to an expanded role of simulation in decision-making and 12communication. Lefort and Kesavadas have developed a fully immersive virtual factory testbedfor designers to test issues such as plant layout, clusters and part flow analysis. Many 13-16researchers have discussed the use of large-scale simulations for studying the virtual behaviorof factories. Virtual factories have also been used for simulation-based control of real factories17, 18for studying the interaction between business decisions
(IMM) and Music in the same class. It isa project-oriented course that fosters critical thinking, creative problem-solving, andcomputational thinking skills through an open-ended team project requiring the synthesis ofknowledge in all four core disciplines. Students work collaboratively to design and developinnovative robotic and graphical conducting systems that can direct an orchestra. Topics taughtinclude robotics, visual music, abstract animation, computer vision, algorithms, data processing, Page 15.166.2music conducting, and project management.This course was offered in the semester of Fall 2009 for the first time. It is a cross-listed
projection-based virtual reality: The design and implementation of the CAVE." Computer Graphics Proceedings of SIGGRAPH '93, 135-142.15. Shaw, T. (2002). "Applied Research Lab at Penn State University, Synthetic Environment Applications Lab (SEA Lab)." May 7, (www.arl.psu.edu/facilities/facilities/sea_lab/sealab.html), Accessed: Dec. 20, 2002.16. Songer, A. D., Diekmann, J. E., and Karet, D. (2001). "Animation-based construction schedule review." Construction Innovation, 2001(1), 181-190.9. Biographical InformationJohn I. Messner, Ph.D. is an Assistant Professor in the Architectural Engineering Department (ConstructionEngineering and Management Option) at The Pennsylvania State University. Dr. Messner
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
and abilities. The tests that are commonly used today were made in anera where computers were not as prevalent. Finally, research is needed on how we canmore accurately diagnose student visual abilities, knowing that they will most likely usethree-dimensional modeling and printing, as well as image processing and simulation, asmajor components within their careers. An industry-modeled and/or field-based courseof study within engineering design graphics has potential to enhance the necessarytrajectory for visual skill preparedness for the workplace.Bibliography1. Moseley, D. et al. (1999). Ways Forward with ICT: Effective Pedagogy Using Information and Communications Technology for Literacy and Numeracy in Primary Schools.2. Danos, X. (2013
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
documentcamera and video projector, and (iii) computer animations which may be shown using a videoprojector. Examples are provided for each. The paper includes discussions of the relative merits andlimitations of each of these methods of providing demonstrations, and means that the authors haveemployed to maximize their impact. In addition, the paper discusses the results of implementing alaboratory based on the Working Model 2D software.Classroom Demonstrations For several years the authors have been involved in the teaching of mechanisms courses. At onetime they relied solely on translucent plastic models with an overhead projector to illustrate machinemotions1. The models included linkages, meshing of gears and gear trains. These models are
Paper ID #7962Developing a Robotic Kit for Mechatronic Engineering EducationWilliam Sarkis BabikianDr. Shouling He, Vaughn College of Aeronautics & Technology Shouling He is an assistant professor of Engineering and Technology at Vaughn College of Aeronautics and Technology. Her research interests include modelling and simulation, microprocessors, control and robotics. She has published more than 40 journal and conference papers in the research fields.Dr. Hossein Rahemi, Vaughn College of Aeronautics & Technology
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
, computer-aided design, descriptive geometry, and instructional design, he has conducted CAD and geometric dimensioning & tolerancing workshops for both high school teachers and industry. In 2013 he was elected as an ASEE Fellow.Dr. Aaron C. Clark, North Carolina State University Aaron C. Clark is a Professor of Technology, Design, and Engineering Education within the College of Education and is the Director of Graduate Programs and Associate Department Head for the Depart- ment of Science, Technology, Engineering and Mathematics Education. He has worked in both industry and education. Dr. Clark’s teaching specialties are in visual theory, 3-D modeling, technical animation, and STEM-based pedagogy. Research areas
projectis presented as a contest between individuals. A thorough description of the evaluation criteriaof the deployed student survey is also expended. Finally, the paper concludes by giving insightson challenges, and personal opinions regarding the effectiveness of the “FarmVille Challenge,”as a means to teach operations research fundamentals.FarmVille as a teaching tool As the name deftly insinuates, FarmVille is a game in which you pretend to run a farm.FarmVille is one of the most popular games on Facebook, it claims to have almost 80 millionactive users4. The game aims to simulate basic farming tasks such as planting, maintaining andcollecting animals, increasing the aesthetic appeal of the farm, and harvesting. Each of these
environment with MATLABprogramming enables students and instructors to exchange data and perform DSP simulations onboth platforms. The advantage here is that complex algorithmic programming can be donevisually on the internet using J-DSP and then executed in MATLAB. Conversely MATLABprograms can be mapped to flowchart-like diagrams and run in J-DSP. Although Simulink doesthe latter as well, the J-DSP tool runs on any platform requiring only a Java-enabled browser.Moreover the Java software integrates seamlessly with web content and animations supportinginternet courses. The MATLAB scripts are generated with a new interpreter that has beendeveloped for J-DSP. This interpreter encodes all simulation parameters in a script that containsthe equivalent
by recognizing the maincharacteristics of the animals in the real world and associate them with 2D models.Lesson 4A In this lesson, L4A, learners were exposed to a sequencing activity through a story book,Joey and Jet. The story features a dog that goes through various steps to catch a ball.Accordingly, learners needed to make a set of steps that the dog followed in the story. One of theobjectives of this lesson was to engage learners in computational thinking competencies (i.e.,Algorithm and Procedures) by making a correct set of orders on a flowchart provided in thelesson. This lesson also aligns with national standards (e.g., NGSS: K-2-ETS1-1; CCSS-ELA:SL.1.1, SL.K.6, RL.1.7, L.1.1.I; CSTA: 1A-A-5-3). Encouragement was the
a new power electronicslaboratory by using modern computer IT tools. It presents how PSpice simulation is used as avirtual hardware laboratory tool to teach different converter topologies and feedback controldesign and analysis. Mathcad is shown in the paper as another valuable IT tool for teaching thetheoretical background and design issues related to power electronic converters and feedbackcontrols. The paper illustrates the application of web-based course materials to assist students’understanding of basic operating principles and properties of power electronic converters. Itgives PSpice, Mathcad, MATLAB Simulink, dSPACE ControlDesk, OpenChoice and MicrosoftExcel software and/or hardware used in both the teaching and laboratory
course Page 11.1334.2is divided into the two traditional major topics, kinematics and kinetics. Time distribution forthe two topics is approximately 70% kinematics and 30% kinetics with the kinetics portionoccurring during the latter part of a sixteen week semester. A generic list of the computersoftware programs currently utilized within the course include: word processing, spread-sheet,two dimensional CAD, and two dimensional rigid body animation simulation. The computerlaboratory component of the course is scheduled in an engineering technology departmentcomputer laboratory within which all necessary software is made available to the students
c American Society for Engineering Education, 2011 Educational Use of Virtual Worlds for Engineering StudentsAbstractOne possible way for increasing student motivation is using computer software and simulations,such as a game-based learning and training platform. There already exist many web-basedlearning games, which may be based on pre-defined interaction scenarios. In recent years, suchinteractions have occurred in virtual worlds, where the users of these virtual worlds (avatars)debate, negotiate, simulate the consequences of various scenarios and solve simplified real-worldproblems. This virtual setting may provide an effective learning experience for students, and itmay also capture and hold their attention. Virtual worlds
offers courses in technical graphicsprogramming, game development and 3D animation classes to prepare students for theentertainment graphics industry that includes video game development, virtual simulations,mixed reality application development and animation. One of the main objectives of this specialtopics course offered in Fall 2022, was to challenge students to critically look at their owncomputer graphics practices and speculate future scenarios [8], [9] for digital entertainment -situated in projected futures impacted by various social, economic, and environmental scenarios.Students were introduced to design research methodologies and speculative tools to prototype thefuture of entertainment practices and design strategies to create human
devised. Audible Browser is discussed in its own section.4.3 Visual and GUI AssignmentsThe course uses a group of structured assignments called "Step Assignments" consisting oftutorials, code reading, and individual work. These lead to group assignments. Theseassignments are GUI-based, using the wxWidgets interface library, and highly visual in nature,building programs such as an aquarium simulator, animation system, and elevator simulator.The earliest solution for this problem was for her to work with a sighted student who could serveas eyes on the project and use the mouse for manipulations. This was a less than ideal solution,requiring coordination of schedules and limiting the time she could work on the project.Providing an alternative
anencompassing approach that exposes children to computing principles in the context of theirlearning discipline [13]; [17]. As such, CT can be seen as a bridge that connects computerscience to multiple disciplines, including engineering [9]; [18].Computational thinking and engineering are defined as problem-solving processes [13]; [19]. CTis more than coding and/or programming, but rather a way of thinking when solving complexproblems across disciplines [13]. CT draws upon concepts fundamental to computer science,such as abstractions, algorithms, decomposition, logical thinking, and simulation. However, likeengineering, CT relies on mathematics as the foundational knowledge to manipulate abstractstructures using abstract methods [13]; [15]. Wing
2012. He joined the Department of Electrical and Computer Engineering, West Virginia University Institute of Technology in 2012, and he is currently an associate professor. His current research interests include wireless power transmission, radar systems, microwave remote sensing, antenna design, and computational electromagnetics. He was the recipient of the first prize award in the student paper competition of the IEEE International Antennas and Propagation Symposium, Boston, MA in 2001. He served as the chair of Antennas and Propagation Society of IEEE Fort Worth Chapter from 2006 to 2011.Mr. Cody Ryan Zackoski, West Virginia University Institute of Technology Currently, I am a second-year student enrolled at WVU