AC 2010-1349: A DELPHI SURVEY TO DETERMINE NAME CHANGEPOSSIBILITIES FOR THE ENGINEERING DESIGN GRAPHICS DIVISIONMary Sadowski, Purdue University Mary A. Sadowski: As Associate Dean for Undergraduate Programs in the College of Technology at Purdue University, Dr. Sadowski provides leadership for the School’s strategic initiatives in undergraduate education; serves as coordinator of accrediting activities and initiatives, scholarships, and enrollment management; and provides leadership for activities related to diversity and student services. Dr. Sadowski is a professor of Computer Graphics and has taught a variety of courses including CAD, Web Design, Animation, and Creative Thinking. Her
, September 20-22, 2007 pointed out, and the appropriate units in both the SI and USCS systems explained. This section was concluded with several demonstrations which were deemed helpful in facilitating better understanding. ¾ Newton’s laws, introduction and demonstrations. Next, the Newton’s laws of mechanics were presented. While the analytical/mathematical expressions and formulations were kept to a minimum, the emphasis was on the physical meanings and the consequences of these important relationships. To further strengthen the students’ understanding, several hands-on demonstrations and computer animations were shown. ¾ Introduction to
3 F ET 3322 Finite Element Analysis of Struct. 3 SENGR 3312 Reinforced Concrete Design 3 F ET 4321 Structural Steel Design 3 SMATH 2307 Linear Algebra 3 ALL ENG 3302 Business and Technical Writing 3 ALLET 3320 Modern Concrete Technology 3 F,S ET 3325 3D Computer Modeling, Rend. & Anim. 3 FET 3308 Materials Science 3 F,S ART Fine Arts Course 3 ALL 15 15 Senior HRS SEM
,” ComputerApplications in Engineering Education, 7, pp. 213-220.3. Avouris, N. M., Tselios, N., and Tatakis, E. C., 2001, “Development and Evaluation of a Computer-BasedLaboratory Teaching Tool,” Computer Applications in EngineeringEducation, 9, pp. 8-19.4. Bhandari, A. and Shor, M., 1998, “Access to an Instructional Control Laboratory Experiment through the WorldWide web,” Proceedings of the American Control Conference, Philadelphia, PA, pp. 1319-1322.5. Budhu M., 2001, “Enhancing Instructions Using Interactive Multimedia Simulations”. Simulation, 76, pp. 222-231.6. Schmid, C., 1999, “A Remote Laboratory Using Virtual Reality on the Web” Simulation 73, pp. 13-21.7. Gustavsson, I., 2003, “User Defined Electrical Experiments in a Remote Laboratory,” ASEE Annual
paper 1.The 2011 summer camp built on these activities by developing supplementary lessons to helpstudents make better systems-level decisions related to how to run an airline. We enhanceddirections for how to run the software programs and incorporated different software options. Thechanges are documented below in the curriculum section.The paper follows with a brief description of the simulation software and an in depth look at thesupplementary lessons and activities provided during the camp. This is followed by an evaluationof the effectiveness of the camp and conclusions.CurriculumAirline Online Simulation ActivityThe camp centered on the use of a multi-user computer-based simulation program. The program,named Airline Online, was developed
follows. Students need morethan the computers and their programs. This article presents information about a 21st centuryprogram created in 1996: a comprehensive engineering program at Madison West High Schoolwithin blocks of the University of Wisconsin in Madison, Wisconsin.I. IntroductionCourses including Principles of Engineering 1&2, Materials Science, and Computer AidedDesign, including mechanical design, 3D solid modeling and 3D animation, are the make-up ofthis 21st century high school engineering program.Students in engineering courses participate in at least fourteen different case studies. These casestudies are diverse in nature in order to give the students just a taste of many different types ofengineering. Engineering ethics
animated characters are present tointeract with the participant to provide a more realistic experience as illustrated in Figure 7. Figure 7: The Christmas Inventory SceneExperimental Set upThe experiment was conducted in a lab with three VR compatible computers. Each participant hadto complete a demographic section and previous simulation sickness experience section.Participants were also asked to record their knowledge on virtual reality experience, video gameplaying experience, and retail store experience using a Likert scale. Then students were asked torespond to the six questions of the ST skills instrument. The six binary questions measure students’level of the complexity dimension and describe their preferences in
module quizzes and student opinion surveysand the results indicate that there is an increase in student performance and student satisfactionafter having completed the learning modules.Introduction The finite element (FE) method is a widely used tool in industry for analyzing engineering problems. The most basic FE theory and applications are offered primarily as a graduate- level course, or in some cases, as an upper-level elective for undergraduate students. Therefore, the majority of engineering programs do not require coverage of FE theory and application as a component of their undergraduate curriculum. Industry is placing an increased emphasis on the ability to apply this powerful computational tool; so it follows that
Development, Teacher Training, and OutreachesThree courses have been developed directly based on the SERENADES research and are offeredin the electrical and computer engineering department at CSULA. The titles of the courses aremultimedia networking, real-time system architectures, and embedded architectures, respectively.The SERENADES Laboratory has collaborated with the Multimedia Animation TechnologyIncorporated in Engineering Systems (MATIES) which has received a grant from NSF ResearchExperiences for Teachers (RET) program to provide training for high school and communitycollege in-service teachers. The participating teachers worked on the projects including imageprocessing, animation of computational physics, animation software package of the
., GIS/GPS, CAD/CAM, data mining, animation/rendering, complex computation such as symbolic algebra programs, or sophisticated modeling)proves difficult because of the expense in licensing application packages and – more importantly– the readiness level of the student population. Real-world digital tools have complex interfacesand require skills in observation, collection, preparation, and interpretation – most of these arewell beyond reasonable expectations for a 7th or 8th grader.PRISM offers over 2,300 age-appropriate resources, the vast majority of which are carefullydesigned learning environments serving as cognition facilitators for teaching complex, higher-order skills. Most contain mediation such as scaffolding, tutoring, graphical
effect on students’ achievement2, 3. It also has a positive impact beyondquantitative measures of academic outcomes, such as changes in students’ thinking, intellectualdevelopment, and personal growth4. The course designers therefore placed emphasis not only onthe provision of a solid theoretical foundation, but also on the extension of the theory to practice,and on teamwork and communication skills. Real-time experiments in servo-motor control,demonstrations (fuzzy logic and optimal control of a 3D helicopter simulator), realistic design,testing, and implementation using advanced computer simulations (MATLAB and Simulink5)became an integral part of the course in and outside of the classroom6, 7.Non-technical skills became a larger part of
, in particular, drawsin part upon the authors’ ongoing work to recognize conceptual difficulties in Statics and toreorganize Statics instruction to better address the conceptual challenges students face. Eachmodule is based on a set of carefully articulated learning objectives, and contains expository textand various interactive exercises and simulations. The explanation of basic concepts capitalizesappropriately on the computer’s capability for displaying digital images, video, and simulationscontrolled by the user. Assessment is tightly integrated within each module, with studentsconfronting frequently interspersed “Learn by Doing” activities, which offer hints and feedback.Summative “Did I Get This” interactive assessments at the end of
National ScienceFoundation (NSF) Network for Earthquake Engineering Simulation (NEES), or polytechnic/technical institutions. When the course is offered at the undergraduate level, the curriculumincludes analysis of single and multiple degree-of-freedom dynamic systems subject to free orforced vibration. With respect to earthquake excitations, students learn about response spectrumand response history analysis methods. Available literature on structural dynamics courseinstruction underscores the importance of incorporating hands-on experimentation coupled withdata analysis and/or computer simulation to not only help students develop their intuition, butalso their confidence in conducting engineering calculations. Some examples of the
Logic Controller Education,” Computer Applications in Engineering Education, 13(4), Dec 2005, pp. 266279.2. Hsieh, S. and Hsieh, P.Y., “An Integrated Virtual Learning System for Programmable Logic Controller,” Journal of Engineering Education, 93(2), April, 2004.3. Hsieh, S. and Hsieh, P.Y., “Animations and Intelligent Tutoring Systems for Programmable Logic Controller Education,” International Journal of Engineering Education, 19(2), 2003.4. Hsieh, S., “Reconfigurable and Scalable Automated Systems Projects for Manufacturing Automation and Control Education,” 2011 ASEE Annual Conference [PDF].5. Wikipedia, https://en.wikipedia.org/wiki/Programmable_logic_controller6. Plc-scada-dcs.blogspot.com, http://plc-scada-dcs.blogspot.com/2013/12
1.396222222 32.24725349 0.494536393 163.4168927 166.23836390 1.57075 37.08079624 0.463656874 715912.2244 715918.807 TABLE -1 Subsequent Iterations to Obtain the SolutionWorking Model 2D/Interactive Physics allowed participants to simulate realisticsituations arising in engineering mechanics problems (Statics as well as Dynamics). Thescreenshot shown in Figure 2 displays an instance of the animated solution of theproblem after the spring-mass-rope system stabilized. The force of 10 lbs. was realizedby 10 lb weight hung from the joint of the 2 ft rope and 2 ft. spring simulated in thesoftware. The rope tension and spring force can also be measured and displayed in
developing thedeep-level understanding required to achieve insight into the principles and rules underlyingspecific facts or results3. To address the difficulties, instructors have been pursuing different Page 24.3.3teaching aids such as project-based learning4 and simulation and multimedia to help conveythese concepts5. The instructor reports that very frequently students confounded time value ofmoney with inflation. Since personal computers became available in homes and schools, development ineducational technology has progressed at an accelerated pace6. In this paper, we focus on mobileapps for multimedia learning. A small application that runs
electronic page turners) or drill andpractice monitors that presented a student with problems and compared the student’s responsesto the pre-scored answers. Computer-aided instruction systems evolved into intelligent computer-aided instruction(ICAI) systems and, then, intelligent tutoring systems (ITS) when principles of artificialintelligence were applied to them. This occurred in the 1970’s and 1980’s. Both ICAI and ITScontain explicit knowledge of the subject taught. ITS also attempts to simulate the behavior ofan intelligent human tutor in addition to acting as a domain expert. The characteristics of anITS include the ability to teach a given subject, to detect student errors, to try to figure outwhere and how the student made an error
Construction Management 3 4 3 1 Architectural Engineering Technology Information Engineering Technology Industrial Design 4 4 2 2 Construction Management Computer Engineering TechnologySt. Paul’s CathedralThis problem was the student’s second project, and focused on a simulation technique thatdirectors’ use in the making of movies, storyboarding.4 Students were assured that, “. . . while ithelps to draw well, it’s the story
to translate thetraditional ground or face-to-face teaching philosophy to one suited for online classroomenvironment.The engineering faculty decided to first develop a freshman-level course entitled, Introduction toEngineering (EE110), consisting of basic electronics and weekly lab assignments. Theintroductory courses attempts to prepare those students who will be entering either the electricalor computer engineering programs.The College of Engineering recognized online lab assignments will be the challenging part of theprogram curriculum. This insight was verified and validated when the flipped classroom wasimplemented to mimic the online chat session. In this case, when students meet in the classroom,it simulates the online chat session in
Paper ID #28609Credential Harvesting using Raspberry PiDr. Tae-Hoon Kim, Purdue University NorthwestDr. Ge Jin, Purdue University Northwest Ge Jin, D.Sc, is currently an associate professor in the Department of Computer Information Technology and Graphics at the Purdue University Calumet. He teaches computer game development, computer graphics and animation, as well as computer information technology courses at the undergraduate and graduate levels. Prior to joining Purdue University Calumet, he was a postdoctoral research scientist at the George Washington University, Department of Computer Science. Professor Jin holds
, followedby teamwork and design activities, which ranked higher than conventional graphics topics.Crittenden7 lists mathematics as a general topic (not specific to geometry) and solid modeling(not constraint theory). Clark & Scales8 reported that 3D parametric modeling was the mostimportant future trend identified by engineering design graphics educators. Cumberland &Miller9 reported that engineering graphics programs should include the topics of macroprogramming, data translation, file and data management, CAD standards, constraint-based solidmodeling, web technologies, simulation and animation, internships, collaboration, and a study ofcurrent trends and issues. In a study by Branoff, Hartman, & Wiebe10 in 2003, of companies inRaleigh
Multi Objec- tive Control Algorithms (I-MOCA), the Traffic Responsive Iterative Urban-Control Model for Pattern- matching and Hypercube Optimal Parameters Setup (TRIUMPH OPS), the Multi Attribute Decision- making Optimizer for Next-generation Network-upgrade and Assessment (MADONNA), and the Safety and Mobility Agent-based Reinforcement-learning Traffic Simulation Add-on Module (SMART SAM). He was also one of the key developers of the dilemma zone protection Detection Control System (D-CS) that was selected as one of the seven top research innovations and findings in the state of Texas for the year 2002. Dr. Abbas served as the chair of the Institute of Transportation Engineers (ITE) traffic engineering council
students often includes laboratories that simulate and train students inrealistic scenarios. Experiences and skills developed in these laboratories become important fortheir academic and professional success. Traditional laboratory instruction includes handouts,oral instruction, students shadowing instructors, and students mimicking tasks completed by theinstructor. This workflow can be efficient in indoor laboratories where both instructor andstudents can access computers, instruments, and equipment simultaneously in dedicated workingstations. In addition, any questions that arise can be answered promptly by simply walking tostudents’ workstations. For instance, imagine the simple case of a computer lab where theinstructor’s computer screen is
, enhancinginstitutional learning to wider student population when resources are limited1. Furthermore,various research results have indicated that online learning and training are in fact as effective astraditional face-to-face learning, at least in terms of measurable academic achievements2,3.Advances in computer, communication technologies, and interactive multimedia on the WorldWide Web (WWW) continue to expand the effectiveness of online and web-based learning4.Today, vast number of educational software tools and packages are available to educators inorder to expand their course delivery beyond traditional face-to-face classrooms. The AdobeConnect5, Centra system6, Blackboard, and WebCT are just a few popular examples to mention.Unfortunately, high cost and
time to digest and apply the information that is being taught” “too fast and too much information” “this course should be split in to two or more classes…” I would suggest that the class be taught at a slightly slower pace…These comments clearly demonstrate the diverse level of computers skills and experience of thestudents. While some comments suggest slowing down, others were asking for more exercises andexamples. Some of the comments also highlighted logistical issues related to the course. “Some students are not fortunate enough to have computers/laptops, or the lab hours given are not sufficient enough” “Have a smaller group of students per class…” “I think there could be some collaboration
Engineering University of Southern California Elizabeth Finley edfinley@usc.edu Department of Aerospace and Mechanical Engineering University of Southern California Bocheng Jin bochengj@usc.edu Department of Aerospace and Mechanical Engineering University of Southern CaliforniaAbstractA specialized adaptation of a Computer-Aided Design (CAD) curriculum was developed toprovide hearing-impaired students with equitable access to learning and to foster an
simulators to train potential operators to adjust andoptimize operations using their sophisticated onboard electronic systems. Anecdotally, PurdueAgricultural Systems Management (ASM) undergraduate students, who complete the lessons forextra credit in the current sophomore-level crop production equipment course, report committingbetween 20 to 40 hours to the full sequence of training modules. Faculty in Agricultural & Biological Engineering at Purdue are keenly aware of this trendas they have watched agricultural demographics change and the level of incoming practicalagricultural experience in their students decline. They are motivated to address the problem. AUSDA-NIFA-sponsored program to introduce high school students to some of the
Paper ID #37146Work-in-progress: A gamified pedagogical system forteaching construction scheduling through active explorationMohammad Ilbeigi Mohammad Ilbeigi is an Assistant Professor in the Department of Civil, Environmental, and Ocean Engineering at Stevens Institute of Technology in Hoboken, New Jersey. He received his Ph.D. in Construction Management and an M.Sc. in Computational Science and Engineering from the Georgia Institute of Technology in 2017.Diana Bairaktarova (Assistant Professor) Associate Proffessor in the Department of Engineering Education at Virginia Tech. © American
engineering problem. Inthe process the student teams are engaged in the following activities (as given to students): Understand and/or clarify step-by-step (e.g. fill-in missing steps) how applied mathematics is used to model an engineering system of interest Page 26.161.7 Create appropriate and mathematically correct simulation models using MATLAB incorporating relevant parameters With specific scenarios in mind, perform MATLAB simulation runs, plot results, and create animations Prepare a technical report (with CD of all relevant computer files) and make a short presentation to the class (you can
Chicago, Chicago, Illinois.Dr. Joanne O’Grady Dunderdale DNP, RN , Loyola University, Chicago Dr. Joanne O. Dunderdale DNP, RN is an Clinical Assistant Professor teaching in simulation education at the Marcella Niehoff School of Nursing, Loyola University-Chicago for the past 10 years. She teaches every aspect of simulation in nursing education including: medical-surgical I & II, mental health, community, maternal/child, women’s health, older adult health, pediatrics, and leadership. Dr. Dunderdale has extensive experience creating simulation scenarios, facilitating simulation activities, and leading debriefing sessions. Her research interests are in simulation, transition to practice and Ignatian Pedagogy