Paper ID #13433Engineering and Physics Students’ Perceptions about Learning Quantum Me-chanics via Computer SimulationsMs. Yu Gong, Purdue University Yu Gong is a graduate student in the School of Engineering Education and School of Electrical and Computer Engineering at Purdue University. She holds B.S, M.S. degrees in electrical engineering from Jiangsu University in China. Her researches focus on model-based learning in nanotechnology education.Tugba Yuksel, Purdue University, Curriculum and Instruction & Dept. of Physics and Astronomy Tugba Yuksel is a Ph.D. candidate in curriculum and Instruction department at Purdue
that students completing this course areproficient in programming both in MATLAB (which will be extensively used throughout theMechanical Engineering curriculum) and in Arduino C (which will be used in the Mechatronicssequence).Teaching computer programming to mechanical engineering students has historically been achallenge, since they may not be gifted in this area and often struggle to see the relevance ofcomputer programming to engineering while still freshmen. The basic idea behind our approachis to motivate student learning using a concrete engineering application in the form of a hands-on, microcontroller-based team project with an end-of-semester competition.Other engineering programs have also introduced microcontroller-based
completedprojects alone. Both courses are part of the core computer science curriculum for all computerscience majors and minors, and are considered gateway courses to specialized upper levelcourses.In our results, we observed an association between student partnerships and increased projectperformance during the same semester, confirming the observations of prior work. Whenexamining student performance in the following course (CS3), our largest statistically significantresult was for students in the lowest GPA quartile: those who had partnered in CS2 wereassociated with improved project scores in CS3, where they all worked alone.1 Introduction and Related WorkPair programming is a software development technique where two programmers work together atone
chaired the ACM SIGCHI Curriculum Development Group which proposed the first nationally rec- ognized curriculum for the study of Human-Computer Interaction. Tom’s conference organizing work includes being Co-Chair of the CHI ’94 Conference on Human Factors in Computing Systems and Pro- gram Chair for the 2013 Creativiey and Cognition Conference. In 2014 he was the recipient of the ACM SIGCHI Lifetime Service Award. c American Society for Engineering Education, 2016 Work in Progress: Using automatic MATLAB program testing for a Large First Year Engineering Computation Course AbstractThis work in progress describes our inaugural
/j.cad.2004.02.011.[18] P. Brown, “CAD: Do Computers Aid the Design Process After All?,” 1, vol. 2, no. 1, pp. 52–66, Sep. 2009.[19] K. Reeder, “Overview of the Industrial Design Curriculum,” Technology Readings, vol. 60, no. 8, May 2001.[20] M. Tovey, “Concept design CAD for the automotive industry,” J. Eng. Des., vol. 13, no. 1, pp. 5–18, Mar. 2002.[21] C. G. C. van Dijk, “New insights in computer-aided conceptual design,” Design Studies, vol. 16, no. 1. pp. 62–80, 1995, doi: 10.1016/0142-694x(95)90647-x.[22] H. Lipson and M. Shpitalni, “Conceptual design and analysis by sketching,” Artificial Intelligence for Engineering Design, Analysis and Manufacturing, vol. 14, no. 5. pp. 391– 401, 2000, doi: 10.1017
engineering curriculum, it is often in the form of simulation [5].Simulation may help students develop modeling skills while also deepening their intuition ofcomplicated math topics [5]–[7]. Dickerson and Clark [7] researched the role of SPICE (anelectronics circuit simulation computer program) in university microelectronics courses. Theyexplored the difference between teaching a course using an interactive simulation in-class versusteaching the course without. Students reported that engaging in the simulation helped them withtest and quiz problems, and that they felt they understood something from the simulation thatthey would not have learned without it. These students scored higher on the final exam thanstudents who did not take the course with
AC 2012-4885: EXCELLENCE IN UNDERGRADUATE ENGINEERINGEDUCATION : THE CHALLENGE FOR RESEARCH-ORIENTED PRO-GRAMS IN ENGINEERING AND COMPUTER SCIENCEProf. Cynthia C. Fry, Baylor University Cynthia C. Fry is a Senior Lecturer of computer science and Assistant Dean of the School of Engineering & Computer Science, Baylor University.Dr. Kenneth W. Van Treuren, Baylor University Ken Van Treuren is a professor in the Department of Mechanical Engineering at Baylor University, cur- rently serving as the Associate Dean for Research and Faculty Development for the School of Engineer- ing and Computer Science. He received his B.S. in aeronautical engineering from the USAF Academy in Colorado Springs, Colo., and his M.S. in
Session 2547 Combining Computer Analysis and Physical Testing in a Finite Element Analysis Course William E. Howard, Thomas J. Labus, and Vincent C. Prantil Milwaukee School of EngineeringAbstractFinite element analysis (FEA) has become an essential tool in the product design process ofmany companies. A course in FEA is required in a large number of mechanical engineering andmechanical engineering technology curricula. Most FEA courses necessarily include somebalance of theory and practical use of a commercial FEA program. In a course recentlydeveloped at Milwaukee
Paper ID #43247Impacts of Near-Peer Mentoring Between Graduate Students and UndergraduateTransfer Students in Engineering and ComputingShannon Conner, Clemson UniversitySkylar Hubbarth, Clemson UniversityDr. D. Matthew Boyer, Clemson University Dr. Boyer is a Research Associate Professor in the Department of Engineering & Science Education in the College of Engineering, Computing, and Applied Sciences at Clemson University. His work focuses on how technology supports knowledge building and transfer in a range of learning environments. ©American Society for Engineering Education, 2024 Impacts of
, Participation. Professional Learning1. IntroductionThis research paper provides findings from implementing the Professional Development or PDmodel of the NSF-awarded project “Let’s Talk Code”. The goal of these PD workshops was toincrease teacher’s confidence and capability in integrating culturally relevant computing andcoding experiences within their curriculum and instruction. Here, we set our focus on the impactof the PD. Through the PD, teachers were engaged in computing and coding professionaldevelopment via Code.org. The teachers were then asked to apply what they learned aboutcoding by developing and implementing culturally relevant computing and coding experiencesfor their students. Here, we share early findings from three of the teacher
. Romance is Professor of Science Education in the College of Education at Florida Atlantic Univer- sity (FAU) and a graduate faculty member in both the College of Engineering and Computer Science and the College of Science at FAU.Her research interests address meaningful learning in complex STEM do- mains, applying a learning sciences lens in addressing issues ranging from building elementary teachers knowledge and skill in teaching science to coordinating learning communities addressing mathematics curriculum as a persistent barrier impacting student success and retention in undergraduate STEM pro- grams. She is currently OI on a NSF DR K-12, Co-PI on a USDOE Title III Hispanic Serving Institution, internal evaluator
Paper ID #38029Board 316: Improving Two-Year Students’ Spatiotemporal Computing Skillsthrough START InternshipDr. Jia Lu, Valdosta State University Dr. Jia Lu is a Professor of Geography and Urban Planning at Valdosta State University. She teaches courses in Urban Community Planning, Environmental Science, and GIS Applications in Planning. Her research interests include population and employment analyses, urban modeling, spatial analyses, and GIS applications in planning and transportation. ©American Society for Engineering Education, 2023 Improving 2-year students’ spatiotemporal computing
through the world.What Are Some Practical Ways to Move Beyond the Research in Order to Support Engineeringand Computing Identity Development for Latina Students?Chicana feminism invites us, as engineering education educators, to step into consciousness in order toserve students. This means promoting identity development within and outside of the classroom byinvestigating the teaching and curriculum as well as advising and support changes needed to supportLatina students in these fields. In addition, this means empowering college leaders to act as catalysts ofchange and community building in order facilitate a multi-prong approach to enhancing engineering andcomputing identity development for Latina students.To fully embody this vision will
difficult and absorbing task that it dominates all other considerations,including the concerns of the user. The traditional mindset of computer science students needs to be addressed in softwareengineering and HCI courses, as well as senior capstone courses. Actually, there is a need to address thetraditional mindset throughout the curriculum of computer science. The author regularly teaches twocourses that are well-suited for educating students to see their profession as a service type professionthat caters to the needs of users. However, there is a need for more faculty to take up this challenge ofemphasizing that computer science is a service profession that requires students to learn how tocommunicate well with users in order to build
students.17 The authors believe that these three goals, when eventually embeddedthroughout the curriculum, will better develop students into computing professionals who candeliver greater value, both to their organization and to society. The initial assessments resultingfrom the spring 2023 offerings of our Programming 2 and Interactive Fiction courses will beused to inform module, course, and potentially curricular design modifications that will betteraddress the attainment of these goals. The authors feel confident moving forward with thisproject given the positive feedback received from students, alumni, and colleagues. The highlyrecognizable game, The Oregon Trail, left a profound impact on those who played it. While thisproject may not lead
, bioinformatics, information retrieval and computer science education.Dr. Joseph Arthur Brobst, Old Dominion University Joe Brobst holds a BS in Biological Sciences, MA in Curriculum & Instruction, and Ed.D. in Educational Leadership, all from the University of Delaware. Formerly a high school biology teacher, he is now an ed- ucational research and program evaluation specialist with experience working on a wide range of projects sponsored by organizations including the National Science Foundation, National Institutes of Health, Of- fice of Naval Research, U.S. Department of Education, and Corporation for National and Community Service. His areas of interest and expertise include broadening participation in STEM higher
Paper ID #20939Motivation Profiles of Non-Major Computer Programmers in a Flipped Class-room EnvironmentLauren Miranda LingarAbbey WilliamsDr. Rachel McCord, University of Tennessee, Knoxville Rachel McCord is a a Lecturer and Research Assistant Professor in the Engineering Fundamentals Divi- sion at the University of Tennessee in Knoxville. She received her Ph.D. in Engineering Education from Virginia Tech. Her research interests include the impact of metacognitive and self-regulated learning development on engineering student success, particularly in the first year. c American Society for Engineering
2017 Pacific Southwest SectionMeeting: Tempe, Arizona Apr 20 Paper ID #20689Online Matlab/Octave tutorial to help non-computer science engineering stu-dents improve programming skillsProf. 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
connectivity. This foundation can then be built upon, to provide a framework that the students can use to organizetheir knowledge of IT&S concepts upon. For example, the tree architecture of the basic MS-DOS operatingsystem can be shown to be similar to the folder/sub-folder scheme of the Macintosh system. These twosystems can then be contrasted to the complex, web-like structures that result from logical hypertext links onworldwide web (WWW, or just web) pages. These types of relationships can be explored in computer-basedengineering laboratories, where cutting-edge information technology issues that arise and mature too quickly tobe included formally in the curriculum can be introduced. In other courses, common software tools
computer-based imaging or imageprocessing aspects were used on as-needed basis for senior capstone projects.With the approval of the curriculum committee, an undergraduate course with thetitle “Applied Computer Vision for Sensing and Automation” was approved to beoffered as an experimental course at 4xxx (senior) level. The course was designedas a three-credit hour course in a sixteen–week semester based system. Thecourse consisted of two lecture classes (each for 50 minutes) and one two-hourlaboratory component. This course initially required prior experience withcomputer programming and prerequisite of a sophomore level mathematics class.This course was offered as a technical elective.This course was initially offered in Fall 2014. It has been
bringcomputing to more students and teachers. Some examples include: code.org, Girls Who Code,various NSF-funded programs, and the new College Board AP Computer Science Principlescourse [1-4]. Our five-year NSF project seeks to determine the long-term impact of theseactivities and curriculum initiatives as a mechanism for growing the skilled technologyworkforce within the United States.In previous work looking at the reporting of data and results of pre-college computingeducational activities, it was found that many of the articles fail to report even basic studycharacteristics [5, 6]. Without some of this basic information, it is difficult to compare initiativesto determine which elements are more effective. It has been found, however, that these
Paper ID #12331A Unit Operations Laboratory Experiment Combined with a Computer Sim-ulation to Teach PID Controller TuningDr. William M. Clark, Worcester Polytechnic Institute Professor Clark holds B.S. and Ph.D degrees in Chemical Engineering from Clemson University and Rice University, respectively. He has been teaching in the Chemical Engineering Department at Worcester Polytechnic Institute since 1986. His teaching interests include thermodynamics, separations processes and unit operations laboratory. He conducts research in separations processes and teaching and learning, particularly in combining laboratory experience
Session Number : 3420 Using Intr oductor y Computer Science as a Tool for Teaching Gener al Pr oblem Solving By Major Timothy G. Nix Affiliation: United States Militar y Academy, West Point, NY Abstr actThe primary purpose of the U.S. Military Academy at West Point is to produce leadersfor the U.S. Army. Thus, the curriculum is tailored with this goal in mind. One of theselling points of the computer science program is its emphasis on problem solving. Thepremise is that the problem solving skills that are instilled through computer science canbe extrapolated to problem solving in general and
by education and/or experience at the filed of application. 3. Equipped with general knowledge (can be specific if necessary) on the basis on which CAD/CAM systems operate such as: Geometric modeling, solid modeling, surface modeling, computer graphics, etc. 4. Is capable of customizing the CAD/CAM system. 5. Is capable of discussing his/her needs and communicate effectively with the R&D staff. 6. Performs maintenance and develops short cut solutions to improve system utilization. 7. Be able to develop, direct, and mange projects intended to develop subroutines, sub- programs or work relate material intended to serve the CAD/CAM system.3. Building a Curriculum Program for Intelligent
Session 2247 Computer Based Virtual Engineering Laboratory (CBVEL) And Undergraduate Engineering, Technology & Science Research Nikunja K. Swain & James A. Anderson Cristal Caroll, Priya Olden, James Parker, Maurice Robinson, & Allan Seedarsan School of Engineering Technology & Sciences (SETS) South Carolina State UniversityI IntroductionAdvanced electronics and computerization are revolutionizing today’s industries and the engineeringtechnology and science
Session #3432 Applications of Computer-Based Power Electronics to Electric Vehicle Technology, An Interdisciplinary Senior Course. Maher E. Rizkalla, Charles F. Yokomoto, Richard Pfile, A. S.C. Sinha, Mohamed El-Sharkawy, Sergy Lyshevski, and Ahmed Al-Antably* School of Engineering and Technology Indiana University Purdue University Indianapolis 723W Michigan Street Indianapolis, IN 46202 *Allison Transmission, GM Corporation P.O
computation, optimization, nonlinear analysis, and data science.Dr. Jessica Taggart, University of Virginia Jessica Taggart is an Assistant Director in the Center for Teaching Excellence at the University of Virginia, where she leads Scholarship of Teaching and Learning (SoTL) programming and supports curriculum (re)design efforts. ©American Society for Engineering Education, 2024 Students’ Perceptions on the Effectiveness of Incorporating Numerical Computations into an Engineering Linear Algebra Course IntroductionLinear algebra techniques have gained increasing significance and utility across diverse fields,including engineering, data science, computer
the Gannon University MakerSpace,which provides tools like 3D printing and laser cutting. The course is designed to provide studentswith a foundational understanding of the professions and disciplines of engineering and computing.The course offers an integrated exploration of engineering principles and computational problem-solving. It aims to address the essential question of what it means to work and think in the fieldsof engineering and computing. The curriculum adopts a "hands-on" project approach to helpstudents engage with the practical aspects of these disciplines, supported by an introduction to thenecessary technical concepts. Students will also become familiar with the professional vocabularythat every engineer and computing
“machinelanguage” programs. SimpleCPU has two advantages over “black box” CPU simulations,like the “Little Man Computer.” First, SimpleCPU is integrated into the spreadsheet thatis already part of the course curriculum, which simplifies matters for novice computerusers as well as the instructor. Second, students can examine any part of the simulationdirectly by looking in spreadsheet cells and reading the single page of macro definitions.Nothing is hidden in object code or an unfamiliar language. The package can also beused with a computer architecture course, giving students a low-cost way to build andtest their own simple processor designs. Introduction Introductory computer literacy has always posed a challenge to instructors. Althoughstudents
-traditional students, adeeper examination of this group within graduate education research becomes critical, especiallyconsidering that only a few studies concentrate on their motivations and experiences. The resultsof these examinations can support graduate programs to make further changes to the design anddelivery of their doctoral curriculums by accounting for the unheard voices of these non-traditional students and raising awareness of their lived experiences throughout their program. In this paper, we describe the preliminary results of a collaborative autoethnographicexploration of the professional and educational experiences of two professional non-traditionaldoctoral students in engineering and computing education. We define