Paper ID #29655Outcomes-Based Assessment Instrument for Engineering Problem-SolvingSkillsMiss Bahar Memarian, University of Toronto Bahar Memarian is a PhD candidate in Industrial Engineering and the Collaborative Specialization in Engineering Education at University of Toronto, Canada. Her primary research interests are in Human Factors and Systems Engineering, specifically their application in Education (e.g. learning outcomes assessment, engineering problem solving). Before that, she completed her MASc. (2015) and BASc. (2012) in Electrical Engineering from University of Toronto.Dr. Susan McCahan, University of Toronto
Paper ID #29674Student performance in partially flipped ECE laboratory classesDr. Ahmed Dallal, University of Pittsburgh Dr. Dallal is an assistant professor at the department of electrical and computer engineering, Unversity of Pittsburgh, since August 2017. Dr. Dallal primary focus is on education development and innovation. His research interests include biomedical signal processing, biomedical image analysis, and computer vision, as well as machine learning, networked control systems, and human-machine learning.Dr. April Dukes, University of Pittsburgh April Dukes (aprila@pitt.edu) is the Faculty and Future Faculty
doctorate from the University of Illinois at Urbana-Champaign. His areas of research include simplifying the outcomes assessment process, first-year engineering instruction, and the pedagogical aspects of writing computer games. Dr. Estell is an ABET Program Evaluator, a Senior Member of IEEE, and a member of ACM, ASEE, Tau Beta Pi, Eta Kappa Nu, and Upsilon Pi Epsilon. Page 23.534.1 c American Society for Engineering Education, 2013 Enhancing Student Comprehension with Video GradingAbstractEngineering students, like other students, have different learning styles. Many techniques
cutting-tools design. His research interests include Design-Based Research in technology-enabled learn- ing contexts, technology-mediated problem solving, applications of dynamic modeling for learning of complex topics, and the impact of epistemic beliefs on learning with technology.Prof. Clayton E Price, Missouri University of Science and Technology Professor Price has varied interests in the sciences, having earned degrees in geology/geophysics, math- ematics, and computer science. He has taught at S&T for 32 years, currently in the computer science department. He teaches introductory programming classes in C++ and the numerical analysis courses. As assistant to the chairman, he advises freshmen and transfer students
-based microcontroller course based on the Parallax Basic Stamp, asingle-board computer that runs the Parallax PBASIC language interpreter in its microcontroller.There were five main reasons to choose a Parallax microprocessor: a) students in electronicsprogram did not have, or were not required to take any programming background before takingthis course; b) Parallax offered a variety of sensor units and related modules to conduct a varietyof experiments and make projects as part of course purpose; c) the Parallax system is compatiblewith most of the commercial sensors and modules; d) freeware software and resources like booksare available; and e) the cost of the system and parts. PBASIC was easier to learn whencompared other programming
AC 2012-3167: INFORMATION ASSURANCE STUDENT GROUP: HOWTO TURN A CLUB INTO A VALUABLE LEARNING EXPERIENCE FORSTUDENTSDr. Julie Ann Rursch, Iowa State University Julie A. Rursch is currently is a Ph.D. candidate in the Department of Electrical and Computer Engineering at Iowa State University. She will graduate with a degree in computer engineering with a focus on secure computing. Her research includes a unique approach to critical infrastructure modeling which provides emergency planners and first responders with resilient and flexible critical infrastructure evaluation in the face of non-recurrent, disruptive events. Her approach creates a new paradigm for modeling critical infrastructure sectors, analyzing real
AC 2012-3243: MATLAB DEMONSTRATION OF TRANSMISSION LINEPHENOMENA IN ELECTROMAGNETICSDr. Stuart M. Wentworth, Auburn University Stu Wentworth received his electrical engineering doctorate from the University of Texas, Austin, in 1990. Since then, he has been with Auburn University’s Department of Electrical and Computer Engineering, specializing in electromagnetics and microelectronics. He has authored a pair of undergraduate electro- magnetics texts and has won several awards related to teaching. He is the department’s undergraduate Program Director and Chair of its Curriculum and Assessment Committee. Page
greatlyreduced. Future improvements to the program could increase clarity of the feedback to thestudents and simplify administration of the grading.1 E. K. Hammond, (2013, Jan. 7) “Ekho's Quizzes, Tests And Exams,” [online]. Available: http://www.ekhovideos.com/EKHOSQUIZZTITLES.html,2 R. F. Hamade, M. Y. Jaber, and S. Sikström, “Analyzing CAD competence with univariate and multivariate learning curve models,” Comput. in Ind. Eng., vol. 56, pp. 1510–1518, 2009.3 R. K. Jadhav, “AutoCAD Grading Software Application GUI,” M.S. thesis, Dept. Comput. Sci., San Diego State University, San Diego, CA, 2010.4 G. B. Deo, “AutoCAD grading application: back end,” M.S. thesis, Dept. Comput. Sci. San Diego State University, San Diego, CA
design,” ASEE Pacific Southwest Annual Conference, 2008.9. J. Y. Lai, E. T. Roan, H. C. Greenberg, and M. C. Yang. (2008) “Prompt versus problem: Helping students learn to frame problems and think creatively". 2nd Design Creativity Workshop, Third International Conference on Design Computing and Cognition. Atlanta, GA, USA, June 2008.10. P. Ludovice, L. E. Lefton, and R. Catrambone, “Improvisation for engineering innovation,” ASEE Annual Meeting, Louisville, KY, 2010.11. “Intellectual Inquiry – Arts & Creativity: Toward Outcomes in Creative Endeavors,” retrieved January 10, 2012, from www.uky.edu/UKCore/Documents/Templates/Creativity-arts.pdf.12. G. Constable and B. Somerville, A Century of Innovation: The
AC 2012-3689: TRANSITIONING A LAB-BASED COURSE TO AN ON-LINE FORMAT: STRATEGIES FOR SUCCESSMr. Kevin P. Pintong, Binghamton University Kevin Pintong is a second-year master’s student with interests in online education and embedded systems.Dr. Douglas H. Summerville, Binghamton UniversityMr. Kyle Temkin, BInghamton University Page 25.1376.1 c American Society for Engineering Education, 2012Transitioning a lab-based course to the online format: Strategies for Success Department of Electrical and Computer Engineering Binghamton University
Page 25.1084.1 c American Society for Engineering Education, 2012 Project-based Service Oriented Projects as a way to learn and apply Analog ElectronicsAbstractElectrical and computer engineering students at our university are required during their junioryear to take a three credit lecture course and a two credit laboratory in analog electronics. Overthe past seven years, several attempts have been made to enhance student learning throughparticipation in PBL projects. In Project-based learning “PBL”, since the project is developed bythe instructor and the learning path is predictable, student creativity, ingenuity and innovationmay be diminished. In order to provide opportunities for student creativity
learn. It can be very helpful to motivate the studentsby showing how the material is used in real systems. Simulations are an effective and easilydeployed method, but they do not have as direct connection to the real world as real systems.However most real communication systems are very complex, and it is often difficult to utilizethem in a class. Some laboratory experiments have been based on the USRP because they can beused to build communication systems that run in real-time without the need for building lowlevel hardware and software1,2.The USRP is an open source hardware platform provided by Ettus Research3. It converts radiofrequency (RF) signals to digital signals that can be processed by a computer, and also convertsdigital signals from
AC 2011-1143: TEACHING DIGITAL LOGIC DESIGN USING THE GOAL(GUIDED ON-DEMAND ADAPTIVE LEARNING) SYSTEMProf. Ronald D. Williams, University of VirginiaJoanne Bechta Dugan, University of Virginia Joanne Bechta Dugan is Professor of Electrical and Computer Engineering and the Director of the Com- puter Engineering Program at the University of Virginia. Her research focuses on probabilistic assess- ment of the dependability of computer-based systems. She has developed the Dynamic Fault Tree model, which extends the applicability of fault tree analysis to computer systems. Her research interests include hardware and software reliability engineering, dependable computing, system health management and mathematical modeling
,” Proceedings of the 2009ASEE Annual Conference, Austin, TX, June, 2009.9. Oguz A. Soysal, “Computer Integrated Experimentation in Electrical Engineering Education over Distance,” Proceedings of the 2000 ASEE Annual Conference, Saint Louis, MO, June, 2000.10. G. Gerdin, “Virtual Instruments for Distance Learning,” Proceedings of the 2002 ASEE Annual Conference, Montreal, Canada, June, 2002.11. Charles Nippert, “Evaluating Student Performance in Online Laboratories,” Proceedings of the 2002 ASEE Annual Conference, Montreal, Canada, June, 2002.12. Paul I-Hai Lin, Hal Broberg, and Aik Mon, “A Web-based Lab for Distance Learning,” Proceedings of the
has held academic positions at SUNY Binghamton (Adjunct Lecturer and Visiting Assistant Professor 1998 - 2001), Washington State University’s School of Electrical Engineering and Computer Science (Assistant Professor 2002-2009). He is currently with the Department of Engineering and Design at Eastern Washington University’s Satellite Electrical Engi- neering program in Seattle Washington (2009-Present). Dr. Nyathi’s research interests include VLSI design, interconnection networks, embedded systems, com- puter architecture and e-learning. He is a member of the IEEE and the Tau Beta PI honor society. Page
web-based course supplements for electrical engineering courses.Craig J. Scott, Morgan State University Dr. Craig Scott, Chair of the Electrical and Computer Engineering Department at Morgan State Uni- versity, has extensive experience in the development of advanced engineering visualization tools and courseware. Additionally, he has been conducting empirical studies on effective learning technologies, as well as remedial math preparation for engineering students. He teaches courses in electromagnetics, solid state theory, characterization of semiconductor materials, computer vision and computational electrical engineering.Jumoke ’Kemi Ladeji-Osias, Morgan State University DR. JUMOKE LADEJI-OSIAS is an
ASEE Annual Conference andExposition, Pittsburgh, PA, June 2008.[13] S. Mehta et.al., “An interactive learning environment for DSP”, in Proceedings of ASEE Annual Conferenceand Exposition,, 2010.[14] R. Santucci et.al., “Advanced functions of Java-DSP for use in electrical and computer engineering courses”, inProceedings of ASEE Annual Conference and Exposition,, 2010.[15] M. Shah et.al., “Audio content-based feature extraction algorithms using J-DSP for arts, media and engineeringcourses,” Proceedings of IEEE Frontiers in Education, 2010.[16] S. Mehta et.al., “An interactive web-based quiz that uses the Java-DSP editor to enhance student learningexperience,” Proceedings of IEEE Frontiers in Education, 2010
Comparison of Hands-On versus Remote Laboratory Experience for Introductory Microprocessors CoursesAbstractThis paper describes an approach to assessing and improving the understanding ofmicroprocessor systems for electrical and computer engineering students by developingmeasurement-based laboratory experiments. During fall semester of 2009, we assessed the levelof understanding of microprocessor systems on a control group using five learning objectives.Students in the control group were enrolled in EE 371, Microprocessor Hardware and SoftwareSystems, a required course in the electrical engineering and computer engineering programs. Wemeasured the level of understanding using a set of assessment tools that includes self surveys
Paper ID #6160Senior Project based Educational Collaboration between Physics and Electri-cal EngineeringProf. Richard W. Freeman P.E., U.S. Coast Guard Academy RICHARD W. FREEMAN has served as a lecturer in the U.S. Coast Guard Academy’s Electrical En- gineering Major since 2008. Prior to joining the faculty, he taught fulltime for eight years. He also worked in the Telecommunications Industry for eight years. He earned BS and PhD degrees in Computer Engineering from Iowa State University and a MBA from Southern Methodist University. He holds a Professional Engineering License in the State of Connecticut.Anthony H. Hawes
Paper ID #6574Tracking High Altitude Balloons in an EE Projects ClassDr. Dick Blandford, University of Evansville Dick Blandford is the chair of the Department of Electrical Engineering and Computer Science at the University of EvansvilleMr. Mark Earl Randall, University of EvansvilleDr. Don Roberts, University of Evansville Page 23.1257.1 c American Society for Engineering Education, 2013 Tracking High Altitude Balloons in an EE Projects ClassAbstractEE 380 is a required junior level projects
Internetand the World Wide Web (www) have fundamentally changed the practice of engineering Page 23.1305.2education, teaching and learning1-8. Different terminologies have been used for online learning, afact that makes it difficult to develop a generic definition. Terms that are commonly used includee-Learning, Internet learning, distributed learning, networked learning, distant learning, virtuallearning, computer-assisted learning, web-based learning, or distance learning. All of these termsimply that the learner is at a distance from the tutor or instructor. Information andcommunication systems, whether networked or not, serve as specific media to
. In the fall2012 offering, some students were concurrently learning a DSP course. Therefore, theyhad even explored the filter characteristics on their own.Lab 4 - Model Referencing and Angle ModulationThe fourth lab was initially designed to showcase the performance difference betweennormal and accelerated models. However, the lab computers did not have the necessary Page 23.1349.12MEX compilers to use the accelerator mode, so this part had to be excluded. The anglemodulation part of the lab was completed without much difficulty. The extra credit demodulation part was attempted by some of the students in the fall 2012 class since the
-BiasDense Layer to upgrade VGG16 to increase its robustness under adversarial attacks. Our workcould potentially provide useful insights into developing more reliable CNN models. The studentsparticipated in the team of deep learning on UAV swarm security and gained many experiences inthe security design of UAV swarm networking. Figure 1 shows the framework of the Exploringneural network response against adversarial perturbations and Gaussian noise and a representationof the result for the experiment. 2) The Morris Worm: Overview and Analysis on UAV Security Students investigated the Morris worm on computer security and extend the discussion onUAV swarm security. They summarized the investigations as follows: One of the most effectiveways users
theachievement of specific learning outcomes. We focus on video solutions to problems, and mapstudent perceptions about the usefulness of the videos onto the learning outcomes for the course.Then, we map each graded assignment (homework, quiz, exam) onto those same learningoutcomes, and compute an average score for each student on each learning outcome. We usestudent background information and data about total video consumption to further enrich thediscussion.The results indicate that some students find video resources crucial to their academic success,across learning outcomes, while other students extract little value from the video resources.These students indicate that they prefer to work alone, with another technology (i.e., thetextbook), or in
projects to reinforce theorywith design examples and to guide students through the design process. This PBL model hasbeen implementation in three core computer engineering courses (Microcontroller Programming,Computer Logic Design, and Multimedia Networking) since Fall 2005 and the students’feedback has been very positive. In all pilot classes that incorporated the model, a significantimprovement of students’ hands-on skills was observed. The broad implementation of the modeldemonstrates that it could be applied to any course where computer aided or assisted design is anessential component. Course level assessment results will be included to show the impact onteaching efficiency and student learning outcomes. In addition, potential problems
AC 2009-1863: EVALUATING THE EFFECTIVENESS AND USE OFCYBER-LEARNING ENVIRONMENTS IN ENGINEERING EDUCATION: AQUALITATIVE ANALYSISKrishna Madhavan, Purdue University Dr. Krishna P.C. Madhavan is an Assistant Professor at Clemson University with a joint appointment in the Department of Engineering and Science Education and the School of Computing. Before his appointment at Clemson, he served as a Research Scientist in the Science Gateways Group at the Rosen Center for Advanced Computing, Information Technology at Purdue University where he led the education and the educational technology effort for the NSF-funded Network for Computational Nanotechnology (NCN). Dr. Madhavan was the Chair of the
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
project.Bibliography1. Anderson, E., Taraban, R., and Sharma, M. P., “Implementing and Assessing Computer-Based Active Learning Materials in Introductory Thermodynamics,” International Journal of Engineering Education, 21(6), p. 1168- 1176 (2005).2. CompTIA, "RFID Adoption Trends in the IT Channel," White Paper (May, 2008).3. Diong, D., Wicker, R., Della-Piana, C., and Quintana, R., “A laboratory designed to enhance students' interest in and learning of Controls,” International Journal of Engineering Education, 20(4), p. 628-636 (2004).4. Gurbuz, R., “Web-Based Curriculum Development of a Manufacturing Technology Programme,” International Journal of Engineering Education, 20(4), p. 566-577 (2004).5. Hsieh, S. and Hsieh, P
Paper ID #22838A Flipped Active-learning Class to Support Diverse Students in a Large In-troduction to Programming ClassProf. Laura Kay Dillon, Michigan State University Laura Dillon is a professor and past Chair of Computer Science at Michigan State University (MSU); before joining MSU, she was a professor at the University of California, Santa Barbara. Her research centers on formal methods in software engineering, specification, and analysis of concurrent software systems. An ACM Distinguished Scientist, Laura has served on numerous editorial boards, program committees, funding panels, and advisory committees—most
experimentation pH, salinity and also conceptualize the conditions that are optimum for the selected macroalgae Figure 1. Implementation of Kolb’s Cycle of Experiential Learning to a Water Quality Monitoring Project.2. Methodology; System Definition; and DesignSix undergraduate engineering and two computer science students volunteered to participate inthe project. Subsequently, these students were supported for the duration of the project througha grant funded by the United States Department of Agriculture (USDA). An initial meeting washeld with the graduate student leading the IMTA efforts to gain a perspective of the theoriesencompassing the research and