Paper ID #38181Mobile App: A Boost in Math Learning MotivationLuz Maria Gregoria Gonzalez Canales, Tecnologico de Monterrey, Mexico Luz Maria Gregoria Gonzalez Canales is a high school math teacher at Tecnologico de Monterrey. She teaches Algebra, Trigonometry, Pre-Calculus and Calculus courses.Yolanda Martinez-Trevino, Tecnologico de Monterrey, Mexico Yolanda Martinez Trevino is a professor in the Computer Science Department of Tecnologico de Monter- rey. She teaches programming courses including the introductory programming course, Object Oriented Programming and Mobile Programming for iOS using Swift. She is interested in
Paper ID #18099Program Evaluation - STEAM Trunks: Enhancing K-8 Project-Based Learn-ing through Mobile MakerspacesDr. Jessica D. Gale, Georgia Institute of Technology, Center for Education Integrating Science, Mathematics,and Computing Dr. Jessica Gale is a Research Scientist II at Georgia Tech’s Center for education Integrating Science, Mathematics, and Computing (CEISMC). Her research focuses on project-based learning, STEM inte- gration at the elementary and middle grades levels, design-based implementation research, and fidelity of implementation. Dr. Gale has a particular interest in project-based engineering in
IEEE Educational Activities Board (EAB) Curricula and Pedagogy Committee (CPC) as a European representative. The mission of the CPC is ”to promote the continued evolution of university curricula, resources, and pedagogical practices across IEEE’s fields of interest in engineering, computing, and technology (ECT)”. She collaborates regularly with many technical universities in Europe, Latin America and USA on topics related to improvement of engineering education. Her research interests include mathematical modeling, system dynamics, control theory, and educational methods in automation, robotics, and in engineering in general.Prof. Tatjana Welzer, University of Maribor, Faculty of Electrical Engineering and Computer
Theory, Signals and Systems, Electromagnetic Theory, Dig- ital Signal Processing, and Dynamic Modeling and Control. His research interests include Engineering Education, Robotics, Applied Digital Control, and Signal Processing.Joseph D Legris, Roger Williams University School of Engineering, Computing and Construction Management I am a fourth year undergraduate student pursuing a degree in Mechanical Engineering. I have experience in Matlab, SolidWorks, C+ language, and all Microsoft office applications. I have spent my career thus far involved in autonomous robotics design, dynamic modelling,and material studies. I am currently part of a bio medical design team entering the VentureWell design competition.Charles FlynnMr
Institute of Technology in Chicago. Dr. Rahman has worked as a chemical engineer at a urea fertilizer factory, after which he pursued a career as a software developer in the securities industry. He worked for 13 years at the Chicago Stock Exchange developing real-time trading software. Since receiving his Ph.D. in the year 2000, Dr. Rahman pursued a career as an educator and taught at Illinois Tech, University of West Georgia, and finally at Clayton State University. Dr. Rahman is passionate about teaching and cares about student learning. His research interests include computation linguistics, bioinformatics, and computer science education. American c
Paper ID #29143Deep Learning and Artificial Intelligence: Project Collaboration acrossClassesProf. Franz J Kurfess, California Polytechnic State University, San Luis Obispo Franz J. Kurfess is a professor in the Computer Science and Software Engineering Department, California Polytechnic State University, San Luis Obispo, where he teaches mostly courses in Artificial Intelligence, Human-Computer Interaction, and User-Centered Design. Before joining Cal Poly, he was with Con- cordia University in Montreal, Canada, the New Jersey Institute of Technology, the University of Ulm, Germany, the International Computer Science
of Science in Electrical Engineering from Bangladesh University of Engineering and Technology. My research interests are deep learning and computer vision. c American Society for Engineering Education, 2020 A Real-Time Attendance System Using Deep Learning Face Recognition Weidong Kuang, and Abhijit Baul, University of Texas Rio Grande Valley Abstract Attendance check plays an important role in classroom management. Checking attendance bycalling names or passing around a sign-in sheet is time-consuming, and especially the latter is opento easy fraud. This paper presents the detailed implementation of a real-time attendance checksystem based on
Paper ID #34430Teaching System Design in Experiential Learning: Building a FitnessWearable at HomeDr. Ramsin Khoshabeh, University of California, San Diego Ramsin Khoshabeh received his PhD from the ECE department at UC San Diego in 2012, specializing in computer vision and machine learning for medical applications. He currently serves as the Director of the ECE Makerspace at UC San Diego. In addition to overseeing the operations of the lab, Ramsin also teaches numerous experientially-focused courses covering topics such as basic electronics and proto- typing, wearable sensors, Python programming, full-stack web development
focus group is planned to gain an understanding of experiences with the design anddevelopment of online courses that will affect their future adoption and adaptation.References1. Chickering, A.W & Gamson, Z. (1987) Seven principles of good practice in undergraduate education. Racine, WI: The Johnson Foundation.2. Moore, M.G (1993). Theory of transactional distance. Ed.: Keegan, D. Theoretical Principle of Distance Education. Routledge, 22-383. Garrison, D.R. (2017). E-learning in the 21st century: A community of inquiry framework for research and practice. New York, NY: Routledge.4. Garrison, D. R., Anderson, T., & Archer, W. (2004). Critical thinking, cognitive presence, and computer conferencing in distance education
Paper ID #32259VolumeVisual: Design and Evaluation of an Educational Software Tool forTeaching and Learning Volume VisualizationMr. Xueyi Bao, Notre Dame University Xueyi Bao is a phD Student in Notre Dame from 2019-2020.Mr. Jun Han, University of Notre Dame Jun Han is a PhD student at the University of Notre Dame. He received a BS degree in software engineer- ing and a MS degree in computer software and theory in 2014 and 2017, respectively. Both degrees are from Xidian University. His current research focuses on applying deep learning techniques to solve data visualization problems.Dr. Chaoli Wang, University of
Paper ID #33585Combining Immersive Technologies and Problem-based Learning inEngineering Education: Bibliometric Analysis and Literature ReviewMahgol Nowparvar, Pennsylvania State University Ms. Mahgol Nowparvar is a graduate student continuing her education in the field of data analytics at Penn State Great Valley. Ms. Nowparvar received her B.S. degree in Applied Mathematics from University of Wisconsin in May of 2020. Her interest is in simulation modeling using quantitative and qualitative analysis.Mr. Xing Chen, Pennsylvania State University Xing Chen is an undergraduate researcher and a BS in Computer Science major
, Lappeenranta, Finland, in 2013, and 2020, respectively. He is currently a Postdoctoral Researcher with the School of Energy Systems, LUT University. His re- search interests include power electronic converters employing wide band gap devices, and active learning methods in engineering education.Prof. Pertti Silventoinen, Lappeenranta-Lahti University of Technology Pertti Silventoinen was born in Simpele, Finland, in 1965. He received the D.Sc degree from Lappeenranta University of Technology (LUT), Lappeenranta, Finland, in 2001. He became a professor of applied electronics in 2004. His current research interests include electronic sensor systems, signal processing and power electronics systems in various applications
Paper ID #29821Undergraduate Research: Deep Learning Based Plant Classifiers and TheirReal- Life Research ApplicationsDr. Deng Cao, Central State University Dr. Deng Cao received his Ph.D. in Computer Science from West Virginia University in 2013. He also earned a master degree in Statistics and a master degree in Physics, both from West Virginia University. Dr. Cao currently serves as an associate professor of Computer Science at Central State University. His research interests includes Artificial Intelligence, Machine Learning, Computer Vision and Biometrics. His research has been supported by US Department of Agriculture
particularly focus on what prevents students from being able to integrate and extend the knowledge developed in specific courses in the core curriculum to the more complex, authentic problems and projects they face as professionals. Dr. Koretsky is one of the founding members of the Center for Lifelong STEM Education Research at OSU. American c Society for Engineering Education, 2020 Work-in-Progress: An Online Journal Tool with Feedback for a Learning Assistant Program in EngineeringOverviewThis work-in-progress paper presents the development and pilot implementation of a computer-based reflection tool used in a Learning Assistant (LA) Program in
Paper ID #17030Growing Experimental Centric Learning: The Role of Setting and Instruc-tional Use in Building Student OutcomesDr. Yacob Astatke, Morgan State University Dr. Yacob Astatke completed both his Doctor of Engineering and B.S.E.E. degrees from Morgan State University (MSU) and his M.S.E.E. from Johns Hopkins University. He has been a full time faculty mem- ber in the Electrical and Computer Engineering (ECE) department at MSU since August 1994 and cur- rently serves as the Associate Dean for Undergraduate Studies in the School of Engineering. Dr. Astatke is the winner of the 2013 American Society for Engineering
administrator settings.Once a computer has been assembled, the network fundamentals class shows how to get a deviceconnected to a network, obtaining IP addresses, navigating to other networked devices, and howa network operates. Setting up a modem and router is also covered with how to modify securitysettings and monitor network traffic.Figure 7: Microscope and Circuit Troubleshooting EquipmentThe troubleshooting course covers different strategies of approaching a problem that needs to befixed, either electrical, software, or mechanical. If a circuit board is not working students learn tobreak the board up into sections and look for tell-tale signs of a component not working, burnmarks, broken leads, shorts, solder lifting, damaged capacitors, etc
AC 2007-2807: INTERACTIVE LEARNING DISCRETE TIME SIGNALS ANDSYSTEMS WITH MATLAB AND TI DSK6713 DSP KITZekeriya Aliyazicioglu, California State Polytechnic University-PomonaSaeed Monemi, California State Polytechnic University-PomonaTim Lin, California State Polytechnic University-Pomona Page 12.943.1© American Society for Engineering Education, 2007 Interactive Learning Discrete Time Signals and Systems with MATLAB and TI DSK6713 DSP Kit Zekeriya Aliyazicioglu, Tim Lin, Saeed Monemi California State Polytechnic University, Pomona,CAAbstractDiscrete time signal and systems courses are a good
completed a Graduate Certificate in Tertiary Education from Victoria University and now is currently completing a Masters in Problem Based Learning in Engineering and Science at Aalborg University in Denmark. Currently Ronny is employed by Victoria University in the School of Electrical Engineering as a Senior Lecturer. His teaching ranges from post-graduate masters in microelectronics to undergraduate electrical engineering courses in the new Problem Based Learning teaching and learning style. Ronny’s research interests are in enabling technologies, such as microelectronics, to provide solutions to e-health applications.Alex Stojcevski, Victoria University Dr. Alex Stojcevski is a Senior Lecturer
AC 2007-1733: LEARNING ABSTRACT INFORMATION THEORY ON VISUALDATA: AN INTEGRATED COURSE ON WAVELET-BASED IMAGECOMPRESSIONThomas Richter, Technische Universitat BerlinSven Grottke, Technische Universitat Berlin Page 12.1007.1© American Society for Engineering Education, 2007 Learning Abstract Information Theory on Visual Data: An Integrated Course on Wavelet-Based Image CompressionAbstractWe describe the implementation of and our experiences with a capstone course on wavelet basedimage compression held at the University of Technology Berlin in the years 2002 to 2006. Thiscourse has been designed as an “integrated project”, which means that it combines
teaching. It is evident from thepaper by Powell et al2 that computer based instruction may be the key to improving the gradepoint average of students. Bartsch and Cobern3 found that PowerPoint presentation can bebeneficial to students’ learning. Papers4-8 reported that those who integrate technology in thelearning process believe it will improve learning and better prepare students to effectivelyparticipate in the 21st century workplace. Today, educators are concerned with how to usetechnology to enhance and enrich their learning environments rather than asking whether to useit.Multimedia which is defined in paper9 as “the integration of video, audio, graphics and datawithin a single computer workstation” and according to Willis10 multimedia
AC 2008-1763: ANALYSIS OF TABLET PC BASED LEARNING EXPERIENCES INFRESHMAN TO JUNIOR LEVEL ENGINEERING COURSESVinod Lohani, Virginia Polytechnic Institute and State University VINOD K. LOHANI is an associate professor in the Department of Engineering Education and an adjunct faculty in Civil & Environmental Engineering at Virginia Tech. He received a Ph.D. in civil engineering from Virginia Tech in 1995. His areas of teaching and research include engineering education, international collaboration and hydrology & water resources.Ricky Castles, Virginia Polytechnic Institute and State University Ricky Castles is a PhD student in computer engineering at Virginia Tech. He holds a BS and MS
A Software Package for Enhanced Student-Learning in Real- Time Embedded-Systems NetworkingAbstractToday, embedded systems networking is common in manufacturing, automobiles, medicalequipment, and home appliances, but few undergraduate engineering and technology curriculateach courses devoted to it. Not having appropriate educational experiences risks a decline in UStechnical expertise. Various companies have developed commercial software packages foranalysis, diagnosis and simulation of real-time embedded-systems networking protocols.However, these commercial software packages are very expensive and complex to be used forundergraduate courses. We have developed a user-friendly and easy-to-use software
solving such problems by applying and augmenting the knowledge gained bycoursework. Students learn the value of teamwork, oral and written communication skills,entrepreneurship and the agility for life-long learning. The clinic experience is highlyuseful for students aiming to either proceed to graduate school or take up a job in industryupon completion of the undergraduate degree. The clinic is also useful in keeping the Page 11.1329.18ECE courses up to date and in configuring new technical electives.The next step atRowan is to broaden the clinic base to include students and projects from business,computer science and physical and life science. This
2006-859: APPLYING FLIP/INVERTED CLASSROOM MODEL IN ELECTRICALENGINEERING TO ESTABLISH LIFE-LONG LEARNINGLarry Bland, John Brown University Page 11.223.1© American Society for Engineering Education, 2006 Applying Flip/Inverted Classroom Model in Electrical Engineering to Establish Life-long Learning Abstract Undergraduate engineering classrooms are experiencing changes as we strive to improvecurriculum outcomes and develop students to meet the future challenges. Two important issuesthat face us are changing educational philosophies and techniques and the outcomerequirements of ABET. Educational
Paper ID #17853verilogTown - Improving Students Learning Hardware Description LanguageDesign - Verilog - with a Video GameDr. Peter Jamieson, Miami University Dr. Jamieson is an associate professor in the Electrical and Computer Engineering department at Miami University. His research focuses on Education, Games, and FPGAs. c American Society for Engineering Education, 2017 verilogTown - Improving Students Learning Hardware Description Language Design - Verilog - with a Video Game Abstract In this work, we present our game
sensor network routing and security. He is member of Upsilon Pi Epsilon honorary society,ASEE and Order or Engineer.Mrs. Neda Hajiakhoond Bidoki, University of Central Florida Neda Hajiakhoond Bidoki is a Ph.D student at the Department of Computer Science at University of Central Florida. Her research interests includes machine learning, data analysis, computer networks, mobility models and network models and analysis. She received her M.Sc. in Network Engineering from Amirkabir University of Technology and her B.Sc. in Information Technology from Sharif University of Technology. c American Society for Engineering Education, 2017 MULTIDISCIPLINARY UNDERGRADUATE RESEARCH
Paper ID #18235Project-Based Learning Curriculum for the Junior Year Based on Building aLaser Tag SystemProf. Brad L. Hutchings, Brigham Young University Brad L. Hutchings received the PhD degree in Computer Science from the University of Utah in 1992. He is currently an associate professor in the Department of Electrical and Computer Engineering at Brigham Young University. In 1993, Dr. Hutchings established the Laboratory for Reconfigurable Logic at BYU and currently serves as its head. His research interests are custom computing, embedded systems, FPGA architectures, CAD, and VLSI. He has published numerous papers on
Education, Vol. 94, No. 1, 2005, 121-130.[2] Lin, C. and Tsai, C. “The relationships between students’ conceptions of learning engineering and theirpreferences for classroom and laboratory learning environments”, Journal of Engineering Education, Vol. 98, No. 2,2009, 193-204.[3] Roppel, T.A., Hung, J.Y., Wentworth, S.W. and Scottedward Hodel, A. “An interdisciplinary laboratorysequence in electrical and computer engineering: curriculum design and assessment”, IEEE Transactions onEducation, Vol. 43, No.2, May 2000, 143-152.[4] May, W.W., Morgan, B.J., Lemke, J.C., Karst, G.M. and Stone, H.L. “Model for ability-based assessment inphysical therapy education”, Journal of Physical Therapy Education, Vol. 9, No. 1, Spring 1995, 3-6.[5] Swanson, D.B
Paper ID #18866Exploring a Virtual Reality Simulation to Aid Inductive Learning of FluidPressure CharacteristicsDr. Siddharth Savadatti, University of Georgia Dr. Siddharth Savadatti received his PhD in Computational Mechanics from North Carolina State Univer- sity in 2011 and has since been on the faculty of the College of Engineering at the University of Georgia. He teaches mechanics and numerical methods courses such as Statics, Fluid Mechanics, Programming, Numerical Methods for Engineers and Finite Element Analysis. In addition to traditional face-to-face classes, he has designed and taught courses in fully online and
, allows the students to scaffold the learning experience and allows the students todemonstrate improvement from the first writing enriched assignment to the second writingenriched assignment. Both writing enriched assignments, consisting of the draft and the finalpaper, are assessed by the WEF, the data of which is included in the program’s annual report,and also submitted to QEP office for further discussion during the summer at auniversity-levelretreat for all WEFs.The Digital Design Lab course is a sophomore level, 2-credit hour course, which has one lecturehour, and three lab hours per week. The lecture component is mainly utilized to revisit conceptscovered in the Intro. to Computer Engineering course, which is a prerequisite for the lab