2022 ASEE Midwest Section Conference Infusing High-Performance Computing and Machine Learning in Mechanical Engineering Education Christy Dunlap1, Jeff Pummill2, Han Hu1 1 Department of Mechanical Engineering, University of Arkansas, Fayetteville, AR 727012 Arkansas High Performance Computing Center, University of Arkansas, Fayetteville, AR 72701AbstractThis paper presents the integration of parallel computing into engineering education. This paperwill discuss the role of scientific computing in molecular dynamics simulations, densityfunctional theory simulations, and deep learning model training. It is becoming more critical
2022 ASEE Midwest Section Conference Design of a Robotics Learning Kit incorporating Computer Vision Dan Kilula, Mohamed Adawi, and Shivan Haran Department of Mechanical Engineering, Arkansas State UniversityAbstract Computer vision is the branch of computer science that focuses on the understanding,analysis, and processing of images and videos by computers. Along with robotics, computervision is used to automate tasks in automotive, manufacturing, and numerous other industriesgiving rise to intelligent systems. This is especially useful as the need for increased automationin warehouses and industries has risen steeply. A python-based computer vision
Paper ID #33471The Affordance of Computer-Supportive Collaborative Learning in aDynamics CourseDr. Yonghee Lee, Purdue University at West Lafayette Postdoctoral Associate at Purdue UniversityProf. Jennifer DeBoer, Purdue University at West Lafayette (COE) Jennifer DeBoer is currently Assistant Professor of Engineering Education at Purdue University. Her research focuses on international education systems, individual and social development, technology use and STEM learning, and educational environments for diverse learners.Prof. Jeffrey F. Rhoads, Purdue University at West Lafayette (COE) Jeffrey F. (Jeff) Rhoads is a
Paper ID #33782Learning Experiences of Social Science Students in an InterdisciplinaryComputing MinorDr. Valerie A. Carr, San Jose State University Valerie Carr earned a PhD in Neuroscience from UCLA followed by a postdoctoral fellowship at Stan- ford University. She is now an Associate Professor in the Department of Psychology at San Jose State University where she conducts research regarding learning and memory across the lifespan. She teaches courses on human learning and neuroscience, and helped create SJSU’s new minor in Applied Comput- ing for Behavioral and Social Sciences (ACBSS). Valerie currently teaches the
Center for Design. Her work is primarily focused on design strategy and research. American c Society for Engineering Education, 2021 Design Learning Preferences of First-Year Electrical and Computer Engineering Students - Work in ProgressPurposeThe individuals that apply to and attend engineering post-secondary institutions are a part of arapidly changing and highly-diverse group. If we develop a deeper understanding of today’sengineering students - what motivates them, what interests them, and what’s important to them -we can use that knowledge to help inform their experiences. Engineering programs certainlyhave specific objectives and requirements to
was when I started because I've learned so many new things about it.These statements, made by Jamie, may help to reinforce responses to several questions on thepost-survey; for example, Jamie’s post-survey data indicated that she “Strongly Agreed” withQuestions 41 (I believe that girls/boys can be good at computational thinking) and she “Agreed”with Question 45 (I believe I can be successful in computational thinking). Despite thechallenges she faced during the process of automating her clubhouse, Jamie’s interview suggeststhat this had not significantly impacted her perception of her ability to “be good at” or “succeed”in computational thinking.Idea 3: Jamie was able to explain computational thinking principles. When asked what wassomething
Paper ID #30871First-graders’ Computational Thinking in Informal Learning Settings(Work in Progress)Ms. Hoda Ehsan, Purdue University at West Lafayette Hoda is a Ph.D. student in the School of Engineering Education, Purdue. She received her B.S. in me- chanical engineering in Iran, and obtained her M.S. in Childhood Education and New York teaching certification from City College of New York (CUNY-CCNY). She is now a graduate research assistant on STEM+C project. Her research interests include designing informal setting for engineering learning, and promoting engineering thinking in differently abled students in informal
Paper ID #28982Work in Progress: Knowledge Networks and Computer-Assisted LearningDr. Edward E. Anderson, Texas Tech University Professor Edward E. Anderson is a faculty member of the Texas Tech University Department of Mechan- ical Engineering where he is a Ray Butler Distinguished Educator and Piper Professor Award recipient. Since returning to the faculty after several different administrative assignments, including Departmental Chairman, Assistant Dean, and Director of the TTU Teaching, Learning and Technology Center, he has focused upon engineering student learning research with an eye upon how to use these findings to
Paper ID #31903MechGames: Teaching and Learning Dynamics through Computer Simula-tionsand GamesDr. Yabin Liao, Penn State Erie Dr. Yabin Liao received his Ph.D. in Mechanical Engineering in 2005, and M.S.E. in Electrical Engi- neering in 2004, both from Arizona State University. Before that he received his B.E. in Automotive Engineering in 1999 from Tsinghua University. He was a lecturer/sr. lecturer in the Department of Me- chanical and Aerospace Engineering at Arizona State University from 2006-2017 before he joined Penn State Erie in 2017. Dr. Liao’s teaching interests include Engineering Mechanics, Mechanics of Materi
Paper ID #242002018 ASEE Zone IV Conference: Boulder, Colorado Mar 25Experiments in Adopting Computer-Aided Learning in Electrical Engineer-ingDr. Majid Poshtan, Cal Poly Dr. Majid Poshtan obtained his PhD in EECE from Tulane University, New Orleans, USA in 2000. Dr. Poshtan has over 20 years of wide-ranging experience in EE academic and industry. He is an expert in electric power systems, transmission planning, short circuits studies and protection, condition moni- toring of generators, induction motors, transformers and power cables, substation design, power system computer simulators, and Real Time simulator. Dr. Poshtan
Paper ID #16679Introduction to Computing Technology: New Interactive Animated Web-Based Learning ContentProf. Frank Vahid, University of California - Riverside Frank Vahid is a Professor of Computer Science and Engineering at the Univ. of California, Riverside. His research interests include embedded systems design, and engineering education. He is a co-founder of zyBooks.com.Dr. Susan Lysecky, zyBooks, Inc.Dr. Alex Daniel Edgcomb, University of California - Riverside Alex Edgcomb finished his PhD in computer science at UC Riverside in 2014. Alex has continued working as a research specialist at UC Riverside with his PhD
Paper ID #27120Using Active Learning to Increase Student Retention in Introductory Com-puting CoursesBruce Herring, Rochester Institute of Technology (GCCIS) Bruce Herring is a lecturer in the Rochester Institute of Technology’s Department of Software Engineer- ing. He holds a MS in Computer Science from Florida State University. At RIT he teaches several introductory courses to incoming freshmen and sophomores in computer science and software engineer- ing. Prior to RIT he worked in industry for 16 years for Harris Corporation, a communications company. His work was predominantly in an embedded environment dealing with the
Paper ID #22511Process Oriented Guided Inquiry Learning in Introductory Computer Sci-enceDr. Helen H. Hu, Westminster College Helen H. Hu received her Ph.D. in computer science from the University of Utah. She is a Professor of Computer Science at Westminster College and a member of the ACM. Her research interests include active learning pedagogies and broadening participation in computer scienceMr. Clifton L. Kussmaul, Muhlenberg College Clif Kussmaul is Associate Professor of Computer Science at Muhlenberg College. Previously, he was Fulbright Specialist at Ashesi University, Visiting Fulbright-Nehru Scholar at the
Hands-on Learning in Multiple Courses in Electrical and Computer Engineering John Attia, Mahamadou Tembely, Lisa Hobson, and Pamela Obiomon Prairie View A&M University 520 Anne Preston Street, Prairie View, TX 77446 USA E-mail: joattia@pvamu.edu Abstract classrooms to more engaging teaching pedagogies. Hands- It has been reported that persistence rate of engineering on learning has proven to be an effective approach forstudents is relatively low. Several new pedagogical improving retention by making learning
, real-world laboratory experiments and computer simulations areintegrated with each other. It is described in detail how the new model works, using an exampleof student laboratory assignments and results. The paper also presents a modified-jigsawcooperative-learning approach that we developed and that is proven particularly useful whendealing with large classes. There exists a long-standing misconception that laboratoryexperiences become impractical as class sizes grow in numbers. Our modified-jigsaw approachrequires the instructor to meet with only a portion (one-fourth in our case) of the class, making alaboratory experience manageable even as class enrollments reach 100 or more students. Thepaper describes the logistics of the modified
AC 2009-1849: DEVELOPING A COMPUTER-BASED SIMULATEDENVIRONMENT TO LEARN ON STRUCTURAL FAILURESLuis Godoy, University of Puerto Rico Prof. Luis A. Godoy graduated as a Civil Engineer at the National University of Córdoba, Argentina, and received his Ph. D. from University College London (University of London, UK) in 1979. He is Professor at the University of Puerto Rico at Mayagüez since 1994, and is also Adjunct Professor at West Virginia University and Universidad Carlos III at Madrid. Godoy has published two books: Thin Walled Structures with Structural Imperfections (Pergamon Press, 1996), and Theory of Elastic Stability (Taylor and Francis, 2000). His research interests include
AC 2009-2181: UTILIZING THE XO COMPUTER FOR UNDERGRADUATERESEARCH AND LEARNING OPPORTUNITIESSilas Bernardoni, University of Wisconsin, MadisonMauricio Rodríguez Alcalá, Skidmore CollegeMaria Rodriguez Alcala, Paraguay Educa Page 14.1342.1© American Society for Engineering Education, 2009 Utilizing the XO Computer for Service Learning Opportunities: Collaborating with US Institutions and Paraguay Educa to Support XO Implementation in Wisconsin and ParaguayAbstract The One Laptop Per Child Project, created by the One Laptop Per Child (OLPC)Foundation, the program’s mission is to serve the worlds’ children by providing educationalopportunities
Session 2309 Computer Applications in Bioengineering: An Active-Learning Laboratory Course for Undergraduates Daryl R. Kipke Arizona State UniversityIntroduction Bioengineering is a diverse field that bridges several traditional engineering disciplines to medicine andbiology. In competing for bioengineering-related jobs with peers from traditional engineering disciplines, theB.S.-level bioengineer should have particular knowledge and experience about making measurements from oranalyzing
Session 2358Computer Supported, Interactive Distance Learning for Engineering and Engineering Technology Michael Khader William E. Barnes New Jersey Institute of TechnologyABSTRACT Many educators agree that integrating interactive modes of delivery into distance education willsignificantly enhance the education experience for students and instructors. Most modes of deliveringdistance education classes today are asynchronous (recorded materials), and one way synchronouscommunications (cable TV classes, satellite link
Session 3263 Experiential Learning in Computer Integrated Manufacturing Through Team Projects Winston F. Erevelles GMI Engineering& Management InstituteAbstract The paper describes projects undertaken by student teams in a senior level course in ComputerIntegrated Manufacturing. Students generate concepts for a product, synthesize this concept into multipledesign alternatives, select the most feasible design based on manufacturability and assemblabilityconsiderations, manufacture the product on CNC machines in the CIM Laboratory, develop solutions
Session 2348 CENT 354 - Computer Architecture - A Project Class Using Cooperative Learning Elmer A. Grubbs The University of Southern ColoradoINTRODUCTIONCENT 354, a junior level course in the Electronic Engineering Technology (EET) and ComputerEngineering Technology (CENT) department at the University of Southern Colorado, has beentaught once a year for the last eight years. In its present form, it includes a substantial project,which involves building a four bit microprocessor using a XILINX XC3000 series integratedcircuit and some external circuitry
-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
Paper ID #19090The Case for Epistemologically-Conscious Computer-Based Learning Envi-ronmentsMr. Petr Johanes, Stanford University Petr Johanes is currently a PhD candidate in Learning Sciences and Technology Design (LSTD) at the Stanford University Graduate School of Education. He holds a B.S. and M.S. from the Department of Materials Science at Stanford University and has experience teaching engineering courses as well as researching engineering education, especially in the context of online learning. Currently, Petr is building data-driven digital environments to investigate the role of epistemic cognition in learning
Paper ID #18994Entrepreneurial-Minded Learning in a Freshman Mini-project in Comput-ingDr. Danai Chasaki, Villanova University Danai Chasaki received a Diploma in Electrical and Computer Engineering from the National Technical University of Athens, Greece in 2006. She also received a M.S. and a Ph.D. degree in Electrical and Computer Engineering from the University of Massachusetts Amherst in 2009 and 2012 respectively. In 2012, she joined the Department of Electrical and Computer Engineering at Villanova University as an Assistant Professor. Before that, she was an Adjunct Instructor at Worcester Polytechnic Institute and
Paper ID #26140Project Based Learning for a Computer Integrated Manufacturing CourseDr. Zareena Gani, Higher Colleges of Technology Dr. Zareena Gani started her career in Engineering with a degree in Mechanical engineering from MK University, India. She has over 20 years of experience in both academia and industry. She has worked as a Design and Manufacturing engineer in Singapore before joining National University of Singapore from which she obtained her M.Eng degree. She also has worked in Singapore Institute of Manufactur- ing Technology (A*STAR) as a Research Fellow before moving to Canada. She gained exposure with
Paper ID #31586A literature based perspective towards learning and pedagogy ofComputational ThinkingMs. Huma Shoaib, Purdue University Huma Shoaib is an engineering education graduate student at Purdue working with INSPIRE. Her research interests are; identifying computational thinking patterns in engineering students and underrepresentation of women in engineering.Dr. Sean P Brophy, Purdue University-Main Campus, West Lafayette (College of Engineering) Dr. Sean Brophy is an engineer, learning scientist and educator. His research in engineering education and learning sciences explores how students think with technology
Paper ID #241942018 ASEE Zone IV Conference: Boulder, Colorado Mar 25Title: Inter-Class Collaboration Project to Enhance Learning in ComputerScienceProf. Maria Pantoja, California Polytechnic State University San Luis Obispo Maria Pantoja Computer Engineering Computer Science & Software Engineering Office: 14-211 Phone Number: 805-756-1330 Email: mpanto01@calpoly.edu Homepage: https://cpe.calpoly.edu/faculty/mpanto01/ Biography B.S., Universidad Politecnica de Valencia, Spain Ph.D., Santa Clara University Research Interests High Performance Computing Neural-Electronics Parallel ComputingDr. Zoe Wood Wood, Cal Poly - San Luis
Paper ID #26473Enhancing Student Learning Experiences in Computer Programming Classesusing RoboticsDr. Masoud Naghedolfeizi, Fort Valley State University Dr.Masoud Naghedolfeizi is a senior professor in the Department of Mathematics and Computer Science at Fort Valley State University. His academic background includes a B.S. in Mechanical Engineering with minor in instrumentation and control, an M.S. in Metallurgical Engineering, and M.S. and Ph.D. in Nuclear Engineering. Dr. Naghedolfeizi’s research interests include instrumentation and measurement systems, applied articial intelligence, machine learning, and engineering
Paper ID #27692Integrating Active/Collaborative Learning in Computer-Centered Course Cur-riculumDr. Magesh Chandramouli, Purdue University Northwest Dr. Chandramouli is an Associate Professor of Computer Graphics Technology in Purdue University Northwest. Dr. Chandramouli has been invited to deliver keynote speeches and guest lectures in various countries around the world. Formerly a Frederick Andrews Fellow at Purdue University, West Lafayette, he completed his doctoral studies from the Department of Computer Graphics Technology. He completed Master of Engineering at the National University of Singapore and Master of
Paper ID #12554Motivating non-electrical and computer engineering students to learn C Pro-grammingDr. Nicholas A Baine, Grand Valley State University Nicholas Baine, Ph.D., is an Assistant Professor in the School of Engineering. His expertise is in the design of electrical control systems and sensor data fusion. As an instructor, he specializes in teaching freshman courses as well as control systems and design of digital and embedded systems. While at Wright State University, he was part of the group which developed a new model to teach mathematics to engineering students. As a new faculty member at Grand Valley State