Paper ID #37319The Impact of Prototyping Strategies on Computer-Aided Design BehaviorDr. Alexander R. Murphy, University of Texas at Dallas Alexander R. Murphy is a Research Fellow in the mechanical engineering department at the University of Texas at Dallas. Alexander earned his Ph.D. and M.S. in mechanical engineering from the Georgia Institute of Technology with a focus on design theory and engineering education. Alexander was a re- cipient of the NSF Graduate Research Fellowship Program fellowship during his graduate studies and is currently part of the inaugural cohort of ASEE eFellows with funding through NSF. His
Model Curriculum, and a member of the task force that wrote the IT 2017 Model Curriculum. He was a member of the task force that wrote the CC2005 document, and is a member of the task force working on the 2020 update to that document. c American Society for Engineering Education, 2018 A Cognitive Approach to Predicting Academic Success in Computing Colby Goettel Dr. Barry M. Lunt colby.goettel@gmail.com luntb@byu.edu School of Technology School of Technology Brigham Young University Brigham Young University1 BackgroundIncoming
Paper ID #16321Using Peer-Generated Screencasts in Teaching Computer-Aided DesignDr. Dongdong Zhang, Prairie View A&M University Dongdong Zhang is currently an Assistant Professor in the Department of Mechanical Engineering at the Prairie View A&M University. He graduated from University of Missouri-Columbia with a Ph.D. degree in Mechanical Engineering. His research interests include: Micro- and Nano-Fiber Reinforced Compos- ites Processing Simulation, Transport Phenomenon in Polymer Composites Processing; Finite Element Analysis (FEA), Computational and Numerical Algorithms; Computer-Aided Design and
Session 1668 Teaching Statics Online with only Electronic Media on Laptop Computers Kurt Gramoll Aerospace and Mechanical Engineering University of OklahomaAbstractThe benefits of electronic media in engineering, such as interactive simulations, three-dimensional visualization and animations are widely known, but the implementation has beendifficult because of lack of classroom facilities and student access to the programs. Most of theimplementation problems can be overcome and true asynchronous learning environment can beestablished if CD based multimedia
Paper ID #8655Student Made Video Projects in a Computer Technology CourseMr. William E Genereux, Kansas State University, Salina William Genereux is an Associate Professor of Computer & Digital Media Technology at Kansas State University at Salina. He is also a K-State doctoral student in curriculum and instruction, with research interests in media literacy and the educational use of digital media technology. He has been working with computers and technology for the past 25 years. Page 24.1130.1
Computer Aided Teaching and Learning in an Undergraduate Electromagnetics Class Milica Marković California State University SacramentoAbstractIn this paper integration of commercial CAD programs in an introductory, undergraduateelectromagnetics course at California State University Sacramento is presented. Matlab, Agilent'sAdvanced Design System (ADS) and Momentum are integrated in various activities throughoutthe semester. Students write Matlab code to visualize electromagnetic fields and waves and useAgilent ADS and Momentum to master transmission lines and design a microstrip patch antenna.The course requires students to
State University iDr. Wei Zhan, Texas A&M University Dr. Wei Zhan is a Professor of Electronic Systems Engineering Technology at Texas A&M University. Dr. Zhan earned his D.Sc. in Systems Science from Washington University in St. Louis in 1991. From 1991 to 1995, he worked at University of California, San ©American Society for Engineering Education, 2023 How Maker Culture Improves Students’ Learning Experiences in Computing ProgramsAbstractAlthough undergraduate computing coursework covers the curriculum and most basic andadvanced concepts, there still exists a big gap between what is learned in the class and itsapplication in solving different real-life problems
properly categorized by item difficulty anddiscrimination. Student performance by factor categories will be evaluated by a variety of socialidentity groups (e.g. gender, self-identified race/ethnicity, first generation college attending).Significance of the StudyA fully validated ECTD will help identify students that have strong entry-level skills incomputational thinking, as well as identify other students that will require more academicdevelopment in this area. This could inform curriculum design for introductory engineeringcourses. For example, some institutions separate students with prior programming experiencefrom those without it in beginning computer programming classes. An arrangement of this typemight also be beneficial in entry-level
Paper ID #35091Simulation of Production and Inventory Control using the Computer GameFactorioDr. Bonnie S. Boardman, The University of Texas at Arlington Bonnie Boardman is a Professor of Instruction in the Industrial, Manufacturing, and Systems Engineering Department at The University of Texas at Arlington. Her primary research interests are in the engineering education and resource planning disciplines. She holds a B.S. and Ph.D. in Industrial Engineering from The University of Arkansas and an M.S. in Industrial Engineering from Texas A&M University.Prof. Caroline C Krejci Dr. Caroline Krejci is an Assistant Professor
. American c Society for Engineering Education, 2020First-graders' Computational Thinking in Informal Learning Settings (Work in Progress)IntroductionRecently computational thinking has emerged as a fundamental skill for pre-college students. One way ofintegrating this new skill into the curriculum is through integrated STEM education. The importance ofSTEM education as a driving force for economic stability and growth is unquestionable and has been acatalyst for change across the globe in recent years. Given the growth of technology and digital computersin the 21stcentury and the demands for professionals and engineers with computer science and problem-solving skills, computational thinking (CT) has gained
, “Introducing cooperative learning into a dynamics lecture class,” Journal of Engineering Education, vol. 85, pp. 69-72, 1996.[10]. V. Carbonell, and C. Romero, “Interactive simulations as teaching tools for engineering mechanics courses,” European Journal of Physics, vol. 34, no. 4, 2013.[11]. M. M. Tajvidi, and N. Fang, “Application of Computer Simulation and Animation (CSA) in Teaching and Learning Engineering Mechanics,” in Proceedings of the 2015 ASEE Annual Conference, Seattle, WA, June 2015[12]. L. G. Gray, and F. Costanzo, “The interactive classroom and its integration into the mechanics curriculum,” International Journal of Science Education, vol. 15, pp. 41-50, 1999.[13]. R. J. Roselli, L. Howard, and S. Brophy
AC 2007-2710: A MULTIDISCIPLINARY GRADUATE COURSE IN BUILDINGCOMPUTER-CONTROLLED MACHINESHugh Jack, Grand Valley State University Hugh Jack is the Chair of Product Design and Manufacturing Engineering at Grand Valley State University in Grand Rapids Michigan. His interests include controls, automation, and open source software. Page 12.71.1© American Society for Engineering Education, 2007 A Multidisciplinary Graduate Course in Building Computer Controlled MachinesAbstractA new course EGR 604 - Implementation3 has been added to the core of the graduate program atGrand
. Collins, Integration of Simulation into the Undergraduate Fluid Mechanics Curriculum usingFLUENT, ASEE Annual Conference and Exposition, Session: 1637, 2003.7. R. A. Pieritz, R. Mendes, R. F. A. F. Da Suva, C. R. Maliska, CFD Studio: An Educational Software Packagefor CFD Analysis and Design, Computer Applications in Engineering Education, vol. 12 (1), pp. 20-30, 2004.8. GNU General Public License (GPL), http://www.gnu.org/copyleft/gpl.html9. Homepage of Virtual Flow Lab software, http://www.me.metu.edu.tr/cuneyt/VirtualFlowLab10. J. Blanchette, M. Summerfield , C++ GUI Programming with Qt 4, Prentice Hall, 2006.11. J.F. Thompson, B. Soni, N.P. Weatherrill, Handbook of Grid Generation, CRC Press, 1998.12. H.K. Versteeg, W. Malalasekera, An
Session 1626 Computer Graphics and Image Processing Laboratory for Undergraduate Instruction. Dr. Dennis Mikkelson University of Wisconsin-Stout The ILI funded laboratory and curriculum development project described in this paperprovided UNIX workstations for undergraduate courses in computer graphics and image processingat the University of Wisconsin-Stout. Prior to this project, the computer graphics course wastaught on 80286 class personal computers using an implementation of the Graphical Kernel System
2006-467: INTERACTIVE COMPUTER PROGRAM FOR ENHANCINGCONDUCTIVE HEAT TRANSFER CONCEPTSRobert McMasters, Virginia Military Institute Robert L. McMasters is an Associate Professor of Mechanical Engineering at the Virginia Military Institute. His current research and teaching interests include heat transfer and inverse problems. Dr. McMasters holds a B.S. degree in Mechanical Engineering from the U.S. Naval Academy and a Ph.D. in Mechanical Engineering from Michigan State University.Michael Sexton, Virginia Military Institute Michael R. Sexton is a Professor of Mechanical Engineering at the Virginia Military Institute. His current research and teaching interests include turbomachinery and energy
-the-art facility for education and research in the areas of automation, control, and production systems. Dr. Hsieh received his Ph.D. in Industrial Engineering from Texas Tech University, Lubbock, TX.Landon Gray, Texas A&M University Landon Gray is a graduate student in the College of Architecture at Texas A&M University. Page 11.326.1© American Society for Engineering Education, 2006 Cognitive Support for Learning PLC Programming: Computer-Based Case StudiesAbstractStudents who wish to learn programmable logic controller (PLC) programming often face manyobstacles
a multi-institution study that queried students about the primary factor that influenced theirdecision to leave engineering, 8% of student respondents indicated that they found the curriculumtoo narrow; one female student reflected, “The curriculum was extremely narrow…there was littleto no room for any humanities…or any other type of class. I feel that this is a major failing of theengineering program.”9The same question about the potential impact of curricular choice applies to computing, which—like engineering—suffers from gender diversity that is not representative of the population at large,nor the over 50% of bachelor’s degrees earned by women in the U.S. each year.10 In 2014, just 14%of computer science and 12% of computer
senior design project in the last year ofcourses, however, these capstone type projects risk creating a feeling of disconnect as opposed to anintegrated experience with the prior curriculum. To further improve our students’ collaboration skills andexpose students to the pedagogical benefits of collaborative learning, we designed and implemented acollaboration between two different computer science classes (CS). Our collaborative inter-class projecthas the immediate intention of mutual learning across related but distinct topics, but also to increasestudent retention of knowledge by providing them with a similar experience to what they will encounterin industry. To evaluate the collaborative experience, we use the student lab reports and the
validate understanding of the conceptsthey have learned during the course of their studies and for instructors to measure theachievement of established learning goals. As with many computer engineering programs,students of the computer engineering program at Utah Valley University complete their degreeprograms with a semester long capstone design experience. The intent is for students to utilizecompetencies developed in the first three years of the curriculum in the solution of an embeddeddesign problem.Embedded SystemsAn Embedded system is any mechanical or electrical system that is controlled by a computerworking as part of an overall system6. Embedded systems is one of the most dynamic and fastgrowing areas in industry. These systems continue
Paper ID #17085Arduinos and Games: K-12 Teachers Explore Computer Science (Evalua-tion)Dr. Andrea Carneal Burrows, University of Wyoming Dr. Andrea C. Burrows received a Curriculum and Instruction: Science Specialization research Ed.D. from the University of Cincinnati, M.S. in Science Education from Florida State University, and a B.S. in Science Education/Biology from the University of Central Florida. She is an assistant professor in the Department of Secondary Education at the University of Wyoming, where she teaches courses in science methods, pedagogy, and research. Dr. Burrows also creates, implements, and evaluates
Paper ID #13112COMPUTER-VISION-AIDED LIP MOVEMENT CORRECTION TO IM-PROVE ENGLISH PRONUNCIATIONMs. Shuang Wei, Purdue University, West Lafayette Shuang Wei is a Ph.D. student in the department of Computer Graphics Technology, Purdue University. She received her Master of Science degree from the same major and a Bachelor degree in digital media from HIT University (China). Her research focuses on multimedia education, information visualization, and human computer interaction.Dr. Yingjie Chen, Purdue University, West Lafayette Dr. Yingjie Chen is an assistant professor in the Department of Computer Graphics Technology of Pur
social import can have a profound effect on recruitment and retention. Even easier, there are many resources from the National Center for Women in Information Technology (NCWIT), for instance, that discuss how to include more relevant assignments into introductory curricu- lum to encourage the participation of women and minorities [Citation: https://www.ncwit.org/resources/customcatalog/engage-students-meaningful- curriculum]. These sorts of efforts don’t require more resources than those already being expended to teach an introductory course. • Encouragement goes a long way. Again, NCWIT has wonderful re- sources related to this [CITATION: https://www.ncwit.org/resources/top- 10-ways-retain-students-computing
Paper ID #19692A Learning Trajectory for Developing Computational Thinking and Program-mingDr. Sean P. Brophy, Purdue University, West Lafayette (College of Engineering) Dr. Sean Brophy is a mechanical engineer, computer scientist and learning scientists. His research in engineering education and learning sciences explores how undergraduate engineering students develop skills in design, troubleshooting and analytical reasoning. He is particularly interested in how these skills develop through students’ interaction with technology.Prof. Tony Andrew Lowe, Purdue University, West Lafayette (College of Engineering) Tony
Paper ID #30680Engendering Community to Computer Science Freshmen through an EarlyArrival ProgramProf. Alark Joshi, University of San Francisco Alark Joshi is an Associate Professor in the Department of Computer Science at the University of San Francisco. He was a co-PI on the IDoCode project (http://coen.boisestate.edu/cs/idocode/) that led to a change in the landscape of computer science teacher preparation and education in the state of Idaho. Currently, he is a co-PI on the S-STEM proposal focused on engaging students in the local community to enable successful outcomes for them with respect to courses and internships/jobs
AC 2007-1072: INTRODUCING ZIGBEE THEORY AND PRACTICE INTOINFORMATION AND COMPUTER TECHNOLOGY DISCIPLINESCrystal Bateman, Brigham Young University Crystal Bateman is an Undergraduate Student at BYU studying Information Technology. Her academic interests include ubiquitous technologies and usability. She is currently finishing an honors thesis on using mobile ZigBee motes in a home environment, and enjoying life with her husband and two daughtersJanell Armstrong, Brigham Young University Janell Armstrong is a Graduate Student in Information Technology at BYU. Her interests are in ZigBee and public key infrastructure. She has three years experience as a Teacher's Assistant. Student
executing the test program, clockcycle by clock cycle. It is truly an enlightening experience for the undergraduate computerarchitecture student.IntroductionComputer Architecture is a fundamental course in every computer engineering curriculum. Twoimportant goals of the computer architecture class are to give the students a good understandingof: 1. how digital hardware is used in the construction of a computer, and; 2. how each instruction propagates through the microprocessor.These goals are especially important for the first exposure of the undergraduate student tocomputer architecture. Without a good understanding of these basics, all the student will receivewill be some vague terminologies and theories. As a result, it will be hard
, “Introduction to Computing and Programming in Python: A Multimedia Approach,” Prentice Hall, 2nd edition, ISBN: 978-0-13-606023-9.[7] IEEE Computer Society and ACM, “Computer Engineering 2004: Curriculum Guidelines for Undergraduate Degree Programs in Computer Engineering,” December 2004. http://www.acm.org/education/education/curric_vols/CE-Final-Report.pdf.[8] A. Aravind, “Students recruitment and retention in computer science: panel discussion”, in proceedings of the 16th Western Canadian Conference on Computing Education (WCCCE’11), pp. 43-44, May 6-7, 2011, University of Northern British Columbia, Prince George, BC.[9] National Center for Education Statistics, Career and technical education in the United States: 1990 to 2005
[3] showed theuse of commercially available MDSolids system for developing and solving a variety ofmechanics of materials problems. Ressler [4] developed “Visual Stress Transformer,” aVisual Basic program to animate stress transformations in a strength of materials class.Prusak [6] showed available commercial software such as Working Model [7] andspreadsheet to enhance student learning. Each of the tools has some novel feature that canbe beneficial in specific situation, but requires a prior background in computer applicationsfor their efficient use.In general, these application tools can be classified in two categories, (a) commerciallyavailable software adapted for specific curriculum requirement and (b) applicationprograms developed in
. Thework was supervised by manufacturing and computer faculty and implemented in Visual C++.The paper will demonstrate this approach where the students developed process visualizationtools as part of their manufacturing engineering curriculum.2. Ingot Casting SystemProduction planning is known to be an extremely difficult task due to rapidly changing marketneeds, a high degree of complex logistics involved, and therefore the use of the right tool willmake the job easier and may result in higher efficiency and higher profits [8]. The productionplanning problem of metal ingots casting is addressed in the system presented in the presentwork. The solution strategy is based on an analysis of the bottle neck of the assembly line [9],where the melting
Paper ID #10384Analyzing Students’ Computational Models as they Learn in STEM Disci-plinesMr. Anton Dukeman, Vanderbilt UniversityMr. Shashank Shekhar, Vanderbilt UniversityMr. Faruk Caglar, Vanderbilt UniversityDr. Aniruddha Gokhale, Vanderbilt University Aniruddha Gokhale is an Associate Professor of Computer Science and Engineering in the Dept of Elec- trical Engineering and Computer Science at Vanderbilt University, Nashville, TN, USA. Prof. Gokhale got his BE (Computer Engineering) from Pune University, Pune, India in 1989; MS (Computer Science) from Arizona State University, Tempe, AZ in 1992; and PhD (Computer