complexsystems that bring the solution of real world problems to the desktop. Universities maintain thelatest of these systems, recognizing the direct benefit towards the attainment of studentoutcomes, especially in the engineering disciplines which need to comply with EAC-ABETcriteria. Johannesen suggests that “When understood, more interesting and complicatedsituations can be explored with the help of computational tools”[1].Tajvidi et al note that“Particularly in engineering dynamics, Computer Simulation and Animation [CSA ] modules candemonstrate motion of particles and rigid bodies through computer animations, helping studentspicture the concepts taught in the course”[2].Computers have their greatest impact not bydisplacing the entire course, but
Paper ID #17207Exploring the Feasibility of an Educational Computer Game as a Novel Meansof Assessing Problem Solving CompetenciesDr. Jacob R Grohs, Virginia Tech Jacob Grohs is an Assistant Professor in Engineering Education at Virginia Tech with Affiliate Faculty status in Biomedical Engineering and Mechanics and the Learning Sciences and Technologies at Virginia Tech. He holds degrees in Engineering Mechanics (BS, MS) and in Educational Psychology (MAEd, PhD).Darren K Maczka, Virginia Tech Department of Engineering Education Darren Maczka is a Ph.D. student in Engineering Education at Virginia Tech. His background is
significant simulators, their central focus, and intended use. More simu-lators are available for both education and research 16 , but none focus on on-chip interconnects forthe purpose of education.research and education. It is worth noting that research simulators can be used for coursework,but with suboptimal educational outcomes.Education-specific computer architecture simulators Many educational simulators focus onthe execution pipeline and surrounding logic 12,17,11,18,19 , others illustrate cache concepts 7,10,20 , anda smaller number explore multi-core concepts 10 . There are also smaller tutorial programs to helpteach simple concepts with a collections of small-scale animations 21 . The ENoCS GUI wasmodeled partly after WinMIPS64 11 , which
Paper ID #16861Agent-Based Modeling and Simulation of Depression and Its Impact on Stu-dent Success and Academic RetentionSherif Elmeligy Abdelhamid, Virginia Tech Sherif is a PhD candidate at the Department of Computer Science, Virginia Polytechnic Institute and State University and is a graduate research assistant at Network Dynamics and Simulations Science Laboratory. Sherif’s research work lies at the intersection of computation, biology and education: in particular, he is interested in designing and building software systems to enable domain experts to easily access and effectively use high performance computing to
research, Washington DC: American Psychological Association, pp. 281-302.13. Despotakis, T., Palaigeorgiou, G., and Tsoukalas, I., 2007, “Students‟ Attitudes Towards Animated Demonstrations as Computer Learning Tools,” Journal of Educational Technology & Society, 10(1), pp.196-205.14. Ertelt, A., Renkl, A., and Spada, H., 2006, “Making a Difference – Exploiting the Full Potential of Instructionally Designed on-Screen Videos,” in the Proceedings of the International Conference on Learning Sciences, pp.154-160.15. Bransford, J., Brown, A. L., and Cocking, R. R., 2000, “How People Learn: Brain, Mind, Experience, and School (2nd Edition), ” Washington DC: National Academy Press.16. Yalvac, B., Smith, H. D., Hirsch, P., and Troy
. Washington, DC: ASEE.7. Guzdial, M. (2008). Paving the way for computational thinking. Communications of the ACM, 51(8), 25-27.8. Wing, J. M. (2006). Computational thinking. Communications of the ACM, 49(3), 33-35.9. Cabo, C., & Lansiquot, R. D. (2014). Synergies between writing stories and writing programs in problem-solving courses. In Proceedings of the 2014 IEEE Frontiers in Education Conference (pp. 888-896). New York: IEEE.10. Cabo, C., & Lansiquot, R. D. (2013). Development of interdisciplinary problem-solving strategies through games and computer simulations. In R. D. Lansiquot (Ed.) Cases on interdisciplinary research trends in science, technology, engineering, and mathematics: Studies on urban classrooms
. Most young kids and even some college students seem tobe unaware of what computer science means. These activities help them understand the depthand diversity a computer science undergraduate degree can entail.The paper will provide the details for each of these activities and the learning objectives. Theactivities included are:(1) Binary, Octal, and Hexadecimal Initial Keychains(2) Understanding Variables and Arrays with Paper Bags(3) Branching and Looping Statements with Starburst Candies(4) General Class Structure with Bags, Boxes, and a Bin(5) Dr. Doolittle’s Vet Office: Learning Classes with Stuffed Animals(6) Arrays with Tissue Boxes, DVD Sets, Paper Plates, and other Household Goods(7) Basic Networking, Message Passing, and Security with
Texas at Brownsville. After graduation, he was employed at sev- eral corporations including Pixera, a digital multimedia processing company in Cupertino, CA, 3COM, a networking and communication company in Schaumberg, IL, and Mercantec, an E-Commerce company in Naperville, IL. He has more than 40 publications in the field, and has served as a reviewer/moderator for several scientific and educational journals and conferences. He joined UTB in the Spring of 2000. His areas of interest include Imaging, Visualization and Animation, Networking and Cyber Security, Web Design, Computer Graphics, and Linguistics.Prof. Fitratullah Khan, University of Texas - Rio Grande Valley Professor Fitratullah Khan has been teaching
problem-solving strategies through games and computer simulations. In R. D. Lansiquot (Ed.) Cases on interdisciplinary research trends in science, technology, engineering, and mathematics: Studies on urban classrooms (pp. 268-294). New York: Information Science Reference.[4] Cooper, S., Dann, W., & Pausch, R. (2000). Alice: A 3-D tool for introductory programming concepts. Journal of Computing Sciences in Colleges, 15(5), 107-116.[5] Cooper, S., Dann, W., & Pausch, R. (2003). Using animated 3D graphics to prepare novices for CS1. Computer Science Education, 13(1), 3-30.[6] Davies, S. P. (1993). Models and theories of programming strategy. International Journal of Man-Machine Studies, 39(2), 237-267.[7] Kuh, G. D
Paper ID #15900WORK IN PROGRESS: A Computer-Aided Design Intelligent Tutoring Sys-tem Teaching Strategic FlexibilityYang Hu, Washington State University Yang Hu obtained her Bachelor degree in major of applied chemistry in 2005. Then she continued a graduate study in polymer physics and chemistry from 2005 to 2008. After working for a year as a recycled material product manager, she came to the U.S. began the graduate study at Washington State University. She got her Master Degree in Mechanical Engineering in 2013. She currently is a Ph.D. candidate in Computer Science. She is interested in applying Reinforcement learning
, 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
systems available that provide extensive simulation andanalysis capabilities,16–20 none provide true synthesis capabilities that would enable designers toinnovate machines at a fundamental level. Autodesk’s Force Effect Motion21 is one of the few mo-bile app, which provides simulation capabilities for N-bar linkages. A detailed review of the stateof the art in Computer Aided Mechanism Design can be found in Chase et al.22 and is summarizedin Purwar et al.23 MotionGen24 (http://www.motiongen.io) is a planar four-bar linkage simulation and syn-thesis app available for download for free at both Google Play–25 and Apple’s iTunes–26 Stores.An early version of the app was presented in Purwar et al.,27 which details its functions and fea-tures. This
instructions and software- sometimes with the use of multimedia(hypertext, sound, animation and simulation) have been widely used to facilitatethermodynamics learning. Cobourn and Lindauer3 and Ngo and Lai40 stated that students haveresponded favorably to their use of electronic media. Web-based modules, when interactive andvisually appealing with animations and simulations, captured the attention of the wire generation,Ngo and Lai.40The use of various communication technologies for on-line offering of a thermodynamics coursewas described by Hall et al.41,42 Results showed that students relied heavily on the instructor toshow them how to solve problems. Stanly and DiGiuseppe43 presented a web-based animationsoftware for thermodynamics that was linked
10expect more than 40% of their courses to be blended18 by 2013.The third, on-line approach is essentially the computer and network-enabled transfer of skills andknowledge. In on-line learning, content is delivered via the Internet, audio or video tape, etc.,and includes media in the form of text, image, animation, streaming video and audio. By 2006,3.5 million students were participating in online learning at institutions of higher education in theUnited States.19 According to the Sloan Foundation reports, 20, 21 there has been an increase ofaround 12–14 % per year on average in enrollments for fully online learning over the five years2004–2009 in the US post-secondary system, compared with an average of approximately 2%increase per year in
Fellow of Biomimicry Institute. He has over 20 years of industrial, academic & entrepreneurial experience. Before joining Cal Poly Pomona, I also served as a faculty at Rowan University, NJ and Kettering University, MI. He is passionate about education and focuses on K-16 and STEM education. He writes columns for Huffington Post on issues related to K-12 & higher education.Dr. 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 University, Pomona. He teaches courses in fluid mechanics
Paper ID #16819Work in Progress: Networked Virtual Reality Environment for Teaching Con-centrating Solar Power TechnologyMr. Kenneth A. Ritter III, University of Louisiana, Lafayette My name is Kenneth (Kary) Ritter, I am a US citizen, male and am a graduate student in Systems Engi- neering with expected graduation in August 2016. I have Masters of Science in Solar Energy Engineering and have been working on a scale 3D model of an actual alternative energy center which was turned into an interactive walk through educational game for use with Virtual Reality (VR) headsets and interaction devices. Currently I am developing
, but the material covers additional topics, including: ● Bitlevel manipulation in C ● Input/output topics, such as sampling rates, glitching, expandable I/O, and latency. ● Peripherals: Pulsewidth modulation, UARTs, and analogdigital conversion ● Embedded programming issues: Lookup tables versus functions, fixedpoint programming. ● Utilization and scheduling: Worstcase execution time, utilization computations, jitter, preemptive scheduling. ● FPGAs: Converting synchSMs to hardware desciption languages for synthesis to FPGAs. ● Domains: The material includes one chapter introductions to each of three key embedded system domains: Control (in particular, PID
number of professional associations, and is a Consultant for Psi Chi, the National Honor Society in Psychology.Miss Paula Sanjuan Espejo, Embry-Riddle Aeronautical University - Daytona Beach I am an UG Aerospace Engineering student at Embry-Riddle Aeronautical University, Daytona Beach. I am from Spain and I am currently working on the SLA-aBLE project, the Implementation and Evaluation of Second Language Acquisition applied to programming courses.Rachel Marie Cunningham, Embry-Riddle Aeronautical University Rachel is a Graduate Research Assistant at ERAU in the Game-based Education & Advanced Simulations Lab. She has been historian for the ERAU Student Chapter of Human Factors & Ergonomics Society and a Psi
) ● Demonstrate visualization, animations, and simulation applications related to GIS. ● Develop and demonstrate applications for GIS consulting. ● Facilitate PBL and AL in GIS curriculum ● Supplement departmental laboratories and augment current pedagogical practicesIn addition to the above mentioned factors, the researchers emphasize methods like Discovery-based Learning (DL) emphasize on intrinsic motivation, intuitive thought-process, and student-centered learning (Jian, Jing-xiang, Chang-hui, 2010). Founded on the above learning concepts,the proposed framework aids learning geospatial applications in domains like environmentalmodelling, land use planning ( Chandramouli, Huang, and Xue, 2009, Chandramouli & Huang,2012
heavily used in computational science these days to process the large volume of datasuch as daily stock analysis, weather forecasting with simulation, animation, and etc.Supercomputer consisted of a massive number of multi-core processors was developed for high-level computing capacity. Computer cluster became one of the approaches to build thesupercomputer, as the commodity high performance processors, low latency network, andsoftware tools to use the cluster were available. Individual processors used in personal computersbecame highly powerful and they can be connected through a low latency network to create thecluster. To facilitate the use of cluster, Message Passing Interface (MPI) is commonlyimplemented. MPI is a standard portable
fact of the matter is that it is usually much easier and muchmore enriching to bring a team together. To that end, we highly recommend finding a team withpedagogical, content, technology, media, and data knowledge.Figure 4. The TPACK framework15 expanded to include media knowledge (MK) in green anddata knowledge (DK) in orange, reflecting the new demands in educational video production.Recommendation #7: Don’t rely just on online videos.While online videos can be an important part of an effective learning environment, don’toverlook other online or computer-based tools. Online interactive simulations such as PhETs(https://phet.colorado.edu/) or interactive textbook, homework, and discussion platforms (e.g.,Piazza (https://piazza.com), zyBooks
, Firefox, etc. h. Subscribing – RSS aggregators.3. Apply (carrying out or using a procedure through executing or implementing. Applying relates and refers to situations where learned material is used through products like models, presentation, interviews and simulations10): a. Illustration (Corel, CAD/CAM, Paint, online tools, Comic creation tools) Simulation (graphic tools, Google sketchup, Aspen, LabView, etc.) b. Sculpture or Demonstration (CAD/CAM, graphics, screen capture, 3D images, Blender, etc.) audio and video conferencing - Skype). c. Animation & screen capture (Camtasia, Camstudio, iMovie, Movie maker, Grab, Snagit, Office
required to obtain themeasurements, or the need to have a microchip implanted in each animal and a portable scannerthat can read the microchip. Taking these limitations into a consideration, a team of students(Animal Science, Engineering Technology, Electronics, Electronics and Computer EngineeringTechnology (ECET), and Industrial Design & Development) and faculty were challenged todesign and develop a low-cost non-contact infrared thermography device. This was a special andinterdisciplinary project (not a capstone project) that was proposed by Animal Science faculty.Students and faculty in the project team designed and built the device after investigating existingsimilar products in the market.IntroductionFever is a common indicator of
: Digital SimulationsStudents are presented with several real-world examples of dynamics simulations in theform of animations taken from popular culture. Examples include the computer generatedanimation of spacecraft from science fiction films, computer generated characters fromfantasy films, and the animation of human characters from popular video games. Nextstudents are shown animations from various engineering presentations that show thesimulated deformation of solid objects, the simulated flow of air currents in a weathermodel, and the simulated results of an automotive crash test. What all of these exampleshave in common is they are all visually appealing products of some underlying dynamicsmodel.Figure 7: Digital Dynamics Simulations: 1