were specified as: Upon successful completion of the course, the student will have: 1. Gained factual knowledge (terminology, classifications, methods, trends) of electrical and computer systems. 2. Learned fundamental principles, generalizations, or theories related to circuits and computer systems and developed an ability to apply those principles to the design and analysis of practical circuits as demonstrated in laboratory experiments and student design projects. 3. Developed specific skills and competencies related to the use of software tools and lab instruments to design, simulate, build, test and document embedded systems using the Arduino platform. 4
AI in Computational Design. ©American Society for Engineering Education, 2025 Improving Features and User Experience of a Web-based Linkage Analysis Tool through User StudiesAbstractPMKS+ (Planar Mechanism Kinematic Simulator Plus) is a web-based tool for the analysis ofplanar linkages with revolute and grounded prismatic joints. Developed as a classroom andassignment assistance tool with many features and capabilities, PMKS+ is used in differentMechanical Engineering (ME) and Robotics Engineering (RBE) courses at Worcester PolytechnicInstitute (WPI).The goals were to critically assess and enhance the application’s user interface so that its built-infeatures are easily accessible and
: Section 2 is an overview of the IITS shell that has beenreported earlier15,16. Section 3 presents the development of the two courses in the IITS shellstructure. Various modules for the two courses, and screen shots of student and instructorinterfaces are discussed. Section 4 is a description of Mentored Problem Solving environmentthat guides a student through a problem solving session. Section 5 has some concludingremarks.This paper is more of a progress report rather than a full description of a matured version of thetwo courses mentioned earlier. Various modules are still being developed, and a classroomevaluation of the tool/courses is yet to be done. The authors hope that development of thevarious modules will be relatively more complete by
Science and Technology Beunguk Ahn is an undergraduate student in the Department of Computer Science at the Korea Advanced Institute of Science and Technology. He is engaged in computer science research related to web content analysis, databases, and data mining. He is also interested in software engineering that integrates values from the humanities and social sciences with computer science. From 2008 to 2011, Ahn served as a teaching assistant and consultant for the KAIST Freshman Design Course. During this time, he helped to set up and run the university’s Moodle e-learning system and developed custom capabilities for the freshman design course. He received an award for enhancing education at KAIST from the
(NSBE). Additionally, she spent time in industry holding technical and operations-based roles and has experience with outreach projects focused on STEM education and mentoring.Ms. Jade R. Moten, Florida International University Jade R. Moten is a graduate student at Florida International University in Miami, Florida. Her research interests include expanding diversity, equity, and inclusion practices in engineering education, policy development, TRIO programs, and quality tool implementation. American c Society for Engineering Education, 2021 Exploring the Success of HBCU’s Development of Black Students Earning Engineering and Computing Graduate
participation metrics such asfrequency and depth of discussions [4]. This held students accountable within a group setting toparticipate as students could see how their contributions compared to their peers. This fosters adeeper understanding of teamwork and improves communication skills. For example,collaborative coding environments introduced by Liao in computer science education helpstudents develop the skills needed for industry [2].The integration of AI tools in engineering education has led to improvements in student grades.Evidence shows there is a relationship between the use of generative AI in engineering educationand improved grades for students by providing personalized learning assistance, engaging pre-class preparation activities, and
Paper ID #38713A Physical Computing Professional Development Study: ExaminingDifferences in Male and Female Teachers’ Attitudes Toward Computing(Evaluation, Diversity)Dr. Tyler S. Love, University of Maryland Eastern Shore Dr. Love is a Professor of Technology and Engineering Education, and Director of Graduate Studies in Career and Technology Education for the University of Maryland Eastern Shore at the Baltimore Mu- seum of Industry. He earned his master’s and Ph.D. in Integrative STEM Education from Virginia Tech. His bachelors degree is in Technology Education from the University of Maryland Eastern Shore. He
2017 Pacific Southwest SectionMeeting: Tempe, Arizona Apr 20 Paper ID #20707Application of Computational Tools to Enhance Understanding of ChemicalKinetics, Mechanisms, and Reactors: Examples in Air Pollutant Formationand ControlDr. Jean M. Andino P.E., Arizona State University Jean M. Andino is a faculty member in Chemical Engineering and Civil, Environmental, and Sustainable Engineering at Arizona State University (ASU). She earned a Bachelor’s degree in Engineering Sciences at Harvard University and a PhD in Chemical Engineering from the California Institute of Technology. Prior to
Paper ID #46303WIP: Gamification as an Engagement Tool in ECE CoursesDr. Victoria Victoria Shao, University of Illinois Urbana Champaign Yang V. Shao is a Teaching Associate Professor in electrical and computer engineering department at University of Illinois Urbana-Champaign (UIUC). She earned her Ph.D. degrees in electrical engineering from Chinese Academy of Sciences, China. She has worked with University of New Mexico before joining UIUC where she developed some graduate courses on Electromagnetics. Dr. Shao has research interests in curriculum development, assessment, student retention and student success in
Paper ID #21109Use of Computer Coding to Teach Design in a Mechanics Course, Resulting inan Implementation of a Kinematic Mechanism Design Tool Using PYTHONDr. Peter L. Schmidt PE, University of Evansville Peter L. Schmidt received his bachelor’s degree in mechanical engineering from the University of Louisville, a master’s degree in mechanical engineering from the Rose-Hulman Institute of Technology and his doc- torate degree in mechanical engineering from Vanderbilt University. He is currently an associate professor of Mechanical Engineering at the University of Evansville. He was previously appointed as an associate
can serve to acquire the shape information of objects and then to process the raw datato generate the corresponding 3D models in real time 20,21. Such a method for generating 3Dmodels in real time can then be applied to build the models used in a GBVL.Besides the creation of the models, it is also very useful to segment and recognize the scannedscenarios. Suppose that during scanning, many experiment tools are laid out on a table. Theywould often be abutting or overlapping when being observed from different view orientations. Astraightforward method for creating computer models of the objects would be to pick up the Page 26.1305.3objects one
believe that the learning of spreadsheetskills by the first year students will prove to be highly beneficial throughout the rest of thecurriculum.1 William Josephson, K.C. Kwon and Nader Vahdat, “A Self-Assessment of Computer Science Education in aChemical Engineering Curriculum”, Proceedings of the 2004 American Society for Engineering Education AnnualConference & Exposition.2 Course Notes from U. of Leeds’ CIVE 2601 Engineering Mathematics course, available on-line athttp://www.efm.leeds.ac.uk/CIVE/CIVE26013 Figures 1-4 in Vaclav Havlicek and Roman Cmejla, “Analysis of the Electrical Engineering Problems UsingComputer Tools”, Proceedings of International Conference on Engineering Education 2000.4 Example 4.3 from J.M Smith, H.C. Van
number of presentation software tools (e.g.Class Presenter, Ubiquitous presenter, DyKnow’s Software, etc.) have been developed to providean integrated Tablet PC-based instruction environment that supports dynamic presentation, real-time polling, on-line coursework submission, etc. B. Simon, et al, have presented their work onusing Class Presenter and Ubiquitous presenter in engineering classrooms4-5. V. Diaz, et al, havepresented how to use DyKnow’s Software to improve teaching efficiency in large classesthrough active learning, practice, and faculty engagement6. Tront introduced an enhancedsoftware tool WriteOn to allow dynamic broadcasting of the computer screen with real timeelectronic ink and synchronized audio7. Most literature reported
broader participation would invariably produce better tools and services for all. However, the benefits of broader participation also could address socio-economic disparities in existence given the lucrative jobs available in computing. Unfortunately, conversations about equity are often associated with racial dynamics, academic rigor, and political correctness. One challenge faced is the lack of a clear definition and measures of equity that would enable objective conversations. While there are some common themes in the general understanding of equity, there is also a lot of confusion about the difference between equity and equality and a fair amount of disagreement whether equity is a goal to pursue
outcomes.This paper describes how engineering design process and methods, traditionally limited to thedesign of products and systems, can be applied to the design/redesign/update of courses. Theredesigning of the course Insitu Measurements and Monitoring in Rock Engineering is used tohighlight the benefits of using engineering design and planning tools such as SWOT Analysis,the House of Quality (HOQ), decision matrices, Gantt charts, and more. Similar to engineeringdesign applications, these tools facilitate the course design/redesign process with steps such asplanning, scheduling, alternatives selection, options evaluation and decision support indesigning, developing, organization and structure of the course and materials.ObjectivesThe main objective
SOLVING COMPLEX SYSTEMS USING SPREADSHEETS: A MATRIX DECOMPOSITION APPROACH Kenneth E. Dudeck, Associate Professor of Electrical Engineering Pennsylvania State University, Hazleton CampusAbstractMany problems in engineering design and analysis, such as sinusoidal driven electricalcircuits, produce a set of complex linear simultaneous equations. This set of equationsform a complex system. Many algorithms have been developed to solve this system byfinding the complex matrix inverse. [1] – [4]This paper describes an approach using a spreadsheet, such as Excel. By using thisapproach, students can use the spreadsheet without the additional cost of purchasingadditional software. Excel does
via image recognition techniques. The data is then mappedonto the virtual 3D avatar allowing the student to control and interact with the simulated objectsas if managing them in real life. Moreover, we target to develop a cost efficient system usingonly cross-platform and freely available software components, establishing the interaction viacommodity hardware, i.e. a computer, a web-cam, and an internet connection. Consequently, weaim increasing accessibility and cost efficiency of the system and avoidance of expensiveinstruments such as gloves and cave system for interaction in cyberspace. We use two test casesto explore the capabilities of our proposed system. One test case illustrates a ball that is passedbetween several users who interact
AC 2007-2111: TABLET PC APPLICATIONS IN A LARGE ENGINEERINGPROGRAMVinod Lohani, Virginia Tech VINOD K. LOHANI is an associate professor in the Department of Engineering Education at Virginia Polytechnic Institute and State University (Virginia Tech). He received a Ph.D. in civil engineering from Virginia Tech in 1995. His areas of research include engineering education, international collaboration, and hydrology & water resources.Ricky Castles, Virginia Tech Ricky Castles is a Ph.D. student in the Electrical and Computer Engineering department at Virginia Tech. His PhD work relates to knowledge map representation of engineering concepts. He is the coordinator of the workshops of
for Community-Engaged Learning.In this work, the processes behind the development of the algorithm for this tool and a sampledemonstration for the College of Engineering and other university level services will be outlined.Introduction and BackgroundArtificial Intelligence (AI) has been a topical research area for decades, but has becomemainstream during the last couple of years. The advent of AI tools such as ChatGPT have broughtforth dialogues ranging from plagiarism, ownership / copyright and academic integrity to using AIas a tool (similar to a slide rule, calculator or computer) to enhance and further push the boundaryof classroom learning and academic research. In fact, many institutions have written or haveproposed formal policies on
A Tutor Program for a Numerical Methods Course for Engineers Cuneyt Sert Department of Mechanical Engineering Middle East Technical University 06531 Ankara, TurkeyAbstractA software is developed to serve as a learning and practice tool for the students of anundergraduate numerical methods course. It can also be used by the teachers of such a course inpreparing class notes and exam questions. It consists of several modules, each covering aseparate topic such as finding roots of nonlinear equations, solving systems of linear algebraicequations, optimization, curve fitting, differentiation
demonstrations developed using NI LabVIEW provideexamples that support the discussion.Software for Signal Processing EducationEducators have long realized the value of the PC for signal processing education1-6. A standarddesktop or laptop PC offers a hardware platform for exploration and design that is widelyaccessible. Engineering software environments such as National Instruments LabVIEW7 enableeducators and students to create, modify, and interact with custom educational softwareapplications that explore linearity, time invariance, signal representation, transforms, digitalfilters, sampling theory, convolution, and other signal processing concepts. Such software can actas a tool to demonstrate a concept or as the basis for student exercises. It can
AC 2007-1839: MEASURING STUDENT PARTICIPATION IN GROUP PROJECTSTHROUGH AN ONLINE PEER EVALUATION SYSTEMPhil Rawles, Purdue University Phil Rawles is an Associate Professor in the Department of Computer Information Technology at Purdue University, West Lafayette, IN. Professor Rawles specializes in teaching network administration and information security in the network engineering technology program. Page 12.1044.1© American Society for Engineering Education, 2007 Measuring Student Participation in Group Projects Through An On-Line Peer Evaluation SystemBackgroundGroup work is an
Paper ID #23342Using FEA as a Pedagogical Tool for Teaching Machine Component DesignDr. Wendy S. Reffeor, Grand Valley State University Wendy Reffeor is an Associate Professor of Mechanical Engineering in the Padnos College of Engineering and Computing at Grand Valley State University. She earned her Bachelors from GMI Engineering & Management Institute, Masters from Purdue University and Doctorate from Michigan State University. Her industrial experience includes designing quality systems for Allison Engine Company in Indianapolis. Since joining GVSU, she has focused on introducing design and build projects in
AC 2007-1636: THE DEVELOPMENT OF A DIGITAL TELECOMMUNICATIONLABORATORYGeorge Moore, Purdue University George Moore received the PhD degree from the University of Missouri in 1978. From 1978 to 2001, he was a member of the technical staff at Bell Laboratories and Lucent Technologies. Currently, he is an assistant professor at Purdue University, West Lafayette, Indiana. His interest include software methods, telecommunication and distributed networking. He is a member of the IEEE, the IEEE Computer Society, and the ACM. Page 12.1404.1© American Society for Engineering Education, 2007 The
in student learning regarding information assurance and computer attacks.An indicator of this learning is the Carronade exercise.The Carronade exercise is an immersive information security awareness exercise conducted verysemester since September 2003. SISOs launch the exercise using an automated phishing tool thatgenerates a phishing email attack against every student under the control of the SISO. If astudent succumbs to the attack, the SISO is informed of the identity of student. No personalinformation is transmitted. The SISO then has an opportunity to mentor the student and explainwhy the email was a phishing attack and what the telltale signs were that identified the email asan attack. Because the attack occurs in the normal work
of a building and its representation. Thispaper presents a personal effort to address Computer Graphics in the ArchitecturalEngineering Curriculum not only as a representational and visualization tool but also as ameans of extending spatial understanding and as a method of informing the design process.Towards this effort a body of knowledge mainly from Descriptive Geometry has beenintegrated into the instruction of Computer Graphics courses. Concepts such as parametricform development, topological surfaces, as well as advanced visualization procedures,including kinematic simulations, have also been added to the body of knowledge coveredby these courses.IntroductionOne of the most important contributions of information technology to the
file which was converted to a movie file inthe “Windows Media File” format, and a “Windows Journal” file for the screen writings that wasconverted to a PDF file. Both files were uploaded to the Blackboard Learning System withintwo hours after the class ended.Before the beginning of the lecture, the author would start Windows Journal on the screen, andkeep Camtasia in the background. Appropriate figures for the lecture were kept handy on aMicrosoft Word screen for cut-and-paste operation. This provides easy access to figures ratherthan searching for files from the computer hard disk during presentation. The Matlab and otherengineering design tools were started as need, and kept minimized. The classroom sessionbegins with starting of Camtasia
AC 2009-1478: LESSONS LEARNED FROM TEACHING DYNAMIC SYSTEMSAND CONTROL WITH A VIDEO GAMEBrianno Coller, Northern Illinois University Page 14.844.1© American Society for Engineering Education, 2009 Lessons Learned from Teaching Dynamic Systems & Control with a Video GameAbstractPlaying digital games on personal computers and game consoles is a massively popular form ofmediated entertainment, which is particularly effective at commanding the fascination andattention of adolescents, young adults, and some not-so-young adults. There is a growingnumber of education scholars who argue that video games (or at least the aspects that make themso
: the experimental system, interface of the experiment with a local computer,graphical user interface (GUI), and server for remote access and access management. A numberof software tools can be used for interfacing, GUI development and server applications. Some ofthese tools are LabVIEW, Matlab, and .NET. These are expensive proprietary software, and thefirst two have some limitations in terms of flexibility in development and browser adaptability.With these in mind, this paper will report the design and development of experimental testbedsusing Python, in which a single software can provide computer interfacing, GUI development,and remote access. This paper will describe the development of two remote testbeds usingPython. The testbeds are a
Paper ID #22046Developing Reviewer Profiles Using Analysis of Prior AuthorshipDr. Matthew A. Verleger, Embry-Riddle Aeronautical University Matthew Verleger is an Associate Professor of Engineering Fundamentals at Embry-Riddle Aeronauti- cal University in Daytona Beach, Florida. His research interests are focused on using action research methodologies to develop immediate, measurable improvements in classroom instruction and the use of Model-Eliciting Activities (MEAs) in teaching students about engineering problem solving. Dr. Verleger is an active member of ASEE. He also serves as the developer and site manager for the Model