. Page 26.1272.1 c American Society for Engineering Education, 2015 Project-Based Learning with Single-Board ComputersIntroductionProject-based learning (PBL) has been shown to be effective in the STEM fields1,2. Inimplementing PBL of Electrical Engineering and Computer Science (EECS) topics formiddle and high school-level enrichment programs, significant thought needs to go intodetermining which sub-topics in the EECS field should be covered in a curriculum inorder to enable students to undertake projects of sufficient and satisfying complexity.One solution is to focus exclusively on either the software (programming) or hardware(sensors, circuits, etc.) side of EECS, having what amounts to either a
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
from Duke University. She is a Fellow of the IEEE. Page 26.1062.1 c American Society for Engineering Education, 2015 Learning about Digital Logic by DiscoveryAbstractThe creation of interactive models of digital electronic circuits allows students to learn abouttheir design and function by active exploration and discovery. Students can explore models ofcircuits which are fundamentally important to the design of computing devices. Suchexploration is directed by the students’ curiosity; an exploration guide draws attention toimportant aspects. Complex systems can be broken apart into
Agriculture, and Department of Education.Dr. Lin Li, Prairie View A&M University Lin Li is an associate professor of the Computer Science Department at Prairie View A&M University. He received his Ph.D. in computer science from the University of Nebraska at Lincoln in 2004. Before that, he received his B.S. and M.E. from Beijing Institute of Technology and Chinese Academy of Sciences in 1996 and 1999, respectively. His research interests are in Computer Networks, Machine Learning, and Computer Educational Technologies.Dr. Lei Huang, Prairie View A&M University Lei Huang is an assistant professor in the Computer Science department at Prairie View A&M University. He received his Ph.D. in computer science
and practi-cal understanding of wireless communications principles to a student population that has limitedtheoretical background. We propose an interactive human-computer interface (HCI) that pro-vides users with human-intelligible feedback on the radio environment as a function of time, fre-quency and space to leverage active learning by letting the students become the operators of awireless communications system. This will provide a better feeling for the parameters that enableas well as govern real-time information exchange over-the-air, making them more tangible andintuitive like a steering wheel, gear, shift, and pedals are for driving a car.This paper presents our initial work on developing such educational tools using our
coursework in computer science, engineering, programming, mathematics and physics.In this paper, we discuss the pedagogy of project-based learning and provide a survey of someexisting computer engineering programs. We describe our project-based curriculum in detail,including examples of student projects. Student outcomes related to both technical and soft skillsare assessed using student surveys and project evaluation rubrics. We discuss these assessmentresults and highlight some successes and limitations of the experiential curriculum.IntroductionThe computer engineering discipline is the science and technology of design, prototyping,implementation, testing, and maintenance of computing systems, including software andhardware1. How to best educate
Paper ID #13848Work-in-Progress: Leveraging Cloud Computing and Web Standards to Sup-port Learning Objectives in Multiple ClassroomsMs. Amber Shanice Solomon, Clemson UniversityDr. Sekou L Remy, Clemson University Sekou L. Remy is a researcher focused on removing barriers to effective use of Robotics and Cloud Computing in our homes, schools, and training centers. Dr. Remy is currently an Assistant Professor in Human-Centered Computing, and comes to Clemson from the University of Notre Dame where he was a Moreau Postdoctoral Fellow. He also had the pleasure of serving as a part-time instructor in Computer Science at Spelman
Paper ID #11120A Project-Based Learning Approach to Teaching Computer Vision At the Un-dergraduate LevelDr. Sami Khorbotly, Valparaiso University Received the Bachelor of Engineering degree in Electrical Engineering from Beirut Arab University, Beirut, Lebanon in 2001. He then received the M.S. and Ph. D. degrees both in Electrical and Computer Engineering from the University of Akron, Akron, OH in 2003 and 2007, respectively. He is currently an Associate Professor of Electrical and Computer Engineering and the Frederick F. Jenny Professor of emerging technologies at Valparaiso University. He teaches in the areas of digital
Paper ID #11564Deploying Adaptive Learning Environments to Overcome Background Defi-ciencies and Facilitate Mastery of Computer Engineering ContentDr. Brock J. LaMeres, Montana State University Dr. Brock J. LaMeres is an Associate Professor in the electrical and computer engineering department at Montana State University. LaMeres teaches and conducts research in the area of digital systems and engineering education. LaMeres is currently studying the effectiveness of online delivery of engineering content including the impact of adaptive learning modules. LaMeres is also studying how different student demographics use e
Paper ID #11401Design and Development of Self-Directed Learning (SDL) Modules for Foun-dations of Computer Programming CourseDr. Gonca Altuger-Genc, State University of New York, Farmingdale Dr. Gonca Altuger-Genc is an Assistant Professor at State University of New York - Farmingdale State College in the Mechanical Engineering Technology Department. She is serving as the K-12 STEM Out- reach Research and Training Coordinator at Renewable Energy and Sustainability Center at Farmingdale State College. Her research interests are engineering education, self-directed lifelong learning, virtual laboratories, and decision-making
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
Paper ID #11277Increasing Student Learning and Interest in a Flipped First-Year Electrical& Computer Engineering CourseDr. Kumar Yelamarthi, Central Michigan University Kumar Yelamarthi received the Ph.D. degree in electrical engineering from Wright State University, Day- ton, OH, USA, in 2008. He is currently an Associate Professor of electrical & computer engineering at Central Michigan University, Mt. Pleasant, MI, USA. He has served as a technical reviewer for several international conferences and journals, and has published over 75 articles in archival journals and confer- ence proceedings. His research
Paper ID #11801Stimulating the learning process in mathematics and numerics by use of com-puter programs like Mathematica.Prof. Ivar G. Johannesen, HiOA Associate Professor, Oslo and Akershus University College, Faculty of Engineering (1988-). Master’s degree in Nuclear Physics from University of Oslo 1975, Special interests in engineering education di- dactics, mathematical physics, computational mathematics and modelling, fluid flow analysis, differential geometry Page 26.1402.1 c
Paper ID #11310Application of Computer Simulation and Animation (CSA) in Teaching andLearning Engineering MechanicsMr. Moe Tajvidi, Utah State University Moe Tajvidi is a PhD student in engineering education at Utah State University. His BSc and MS degrees are in civil and structural engineering and he has a sixteen year long career experience in structural engi- neering along with four years of college instruction of both basic and advanced civil engineering courses. In his teaching experience he has been committed to introducing real life engineering problems to the learning environment. The subjects he has taught
c American Society for Engineering Education, 2015 Characteristics of Students Self-Selecting into a Freshman Living- Learning Community for Engineers and Computer ScientistsAbstractLiving-learning communities have been shown to have a number of positive impacts onundergraduate students within engineering and computer-science programs. A residentially-based living-learning community (LLC) has been established at Gonzaga University. This LLC,based on students applying to participate over their first two academic years, is relatively modestin scope with competitions, invited speakers, and study-halls being among the primary specialactivities. Initial studies on retention indicated that, despite this simplicity, this LLC appears
Paper ID #14125Addressing Barriers to Learning in Linear Circuit AnalysisDr. Brian J Skromme, Arizona State University Dr. Brian Skromme is a professor in the School of Electrical, Computer, and Energy Engineering and is assistant dean of the Fulton Schools of Engineering at Arizona State University. He holds a Ph.D. in Electrical Engineering from the University of Illinois at Urbana-Champaign and was a member of technical staff at Bellcore from 1985 to 1989.Dan Robinson Page 26.158.1 c American
Paper ID #11623Learning Management Systems: What more can we know?Mr. Cory Brozina, Virginia Tech Cory Brozina is a PhD Candidate in Engineering Education at Virginia Tech. He has his B.S. and M.S. in Industrial & Systems Engineering also from Virginia Tech. His research interests are in Learning Analytics, Engineering Education Assessment, and Educational Technology.Dr. David B Knight, Virginia Tech Department of Engineering Education David Knight is an Assistant Professor in the Department of Engineering Education and affiliate faculty with the Higher Education Program, Center for Human-Computer Interaction, and Human
Paper ID #13795Assessing Studio-based Learning in a Material/Energy Balance ClassesDr. Richard L. Zollars, Washington State University Richard Zollars has been on the faculty at Washington State University for 36 years. He has had numer- ous educational grants, including two in support of an on-going investigation of the use of studio-based learning techniques in regular classroom settings.Dr. Christopher Hundhausen, School of Electrical Engineering and Computer Science, Washington State Uni-versity Christopher Hundhausen is an associate professor in the School of Electrical Engineering and Computer Science at Washington
are to work in the earn a graduate degree, work in the renewable energy industry, and promote STEM and engineering education. Page 26.717.1 c American Society for Engineering Education, 2015 Experience-Based Approach for Teaching and Learning Concepts in Digital Signal Processing Daniel Raviv and Juan Ramirez Department of Computer & Electrical Engineering and Computer Science Florida Atlantic University Boca Raton, FL 33431 Tel: (561
c American Society for Engineering Education, 2015 Work-in-Progress: A Software Based Robotic Vision Simulator for Use in Teaching Introductory Robotics CoursesWith the rising popularity of robotics in our modern world there is an increase in engineeringprograms that offer an introductory course in robotics. This common introductory roboticscourse generally covers the fundamental theory of robotics including robot kinematics,dynamics, differential movements, trajectory planning and basic computer vision algorithmscommonly used in the field of robotics. To teach robotic vision the student is generallyexposed to a variety of vision algorithms where they learn how to combine them along withthe selection of their parameters to
Paper ID #12908Work-in-Progress: Conflict-Driven Cooperative Learning in Engineering CoursesDr. Neelam Soundarajan, Ohio State University Dr. Neelam Soundarajan is an Associate Professor in the Computer Science and Engineering Department at Ohio State University. His interests include software engineering as well as innovative approaches to engineering education.Mr. Swaroop Joshi, Ohio State University Swaroop is a Ph.D. student in Computer Science and Engineering at The Ohio State University. His interests include a range of problems in software engineering as well as the use of technology in the classroom.Dr. Rajiv
Paper ID #12777Developing a Learning Analytics Dashboard for Undergraduate EngineeringUsing Participatory DesignDr. David B Knight, Virginia Tech Department of Engineering Education David Knight is an Assistant Professor in the Department of Engineering Education and affiliate faculty with the Higher Education Program, Center for Human-Computer Interaction, and Human-Centered De- sign Program. His research focuses on student learning outcomes in undergraduate engineering, learning analytics approaches to improve educational practices and policies, interdisciplinary teaching and learn- ing, organizational change in
Paper ID #14197Lessons Learned from Two Years of Flipping Circuits IProf. Gloria J Kim, Northwestern University Gloria Kim is a Clinical Associate Professor of Biomedical Engineering at Northwestern University. She also a courtesy faculty member with the Department of Electrical and Computer Engineering at the Uni- versity of Florida. She obtained her B.S. in Chemistry from Seoul National University, M.S. in Biomedical Engineering from Johns Hopkins University, and Ph.D. in Biomedical Engineering from Georgia Institute of Technology. She teaches courses in biomechanics, biomaterials, bioinstrumentation, and nanotechnol
. Prosser. Engineering students' conceptions of and approaches to learning through discussions in face-‐to-‐face and online contexts. Learning and 63 19.9% Instruction, 18(3), 267-‐282. 2008. R.A. Ellis, P., Goodyear, M. Prosser, A. & O'Hara. How and what university students learn through online and face-‐to-‐face discussion: Conceptions, intentions and approaches. Journal 51 16.1% of Computer Assisted Learning, 22(4), 244-‐256. 2006. S. Ozkan & R. Koseler. Multi-‐dimensional students’ evaluation of e-‐learning systems in the higher education context: An empirical
systems in the design of theirstudent educational experience.Using hardware in computing instruction enhances the learning experience for many students,especially those with learning profiles indicating a preference for active or experiential learning.Both Keirsey-profile (MBTI) ‘Artisans’ and ‘Rationals’ can benefit from this approach.A significant problem with using hardware-oriented tools to enhance learning is that students(and many faculty) in IT typically don’t have a deep background in hardware design anddebugging. Therefore hardware platforms must be selected which allow for development oflearning experiences with ready-made and easy-to-use platforms. Platforms such as mobilephones epitomize this, as the hardware platform is complete and
celebration events at the regional level.The Indiana Celebration of Women in Computing (InWIC) began in 2004 as a way of offeringthe Grace Hopper Conference experience without impeding on students’ desire to attend classesand reducing costs to make it affordable to larger groups of students. In the past, the venue forthis event, which occurred every two years, was an inn at a state park, which provided a quietand relaxing setting for networking, mentoring, learning, presenting, and having fun. Beginningwith 2015, this regional conference will become an annual event in a more central location that iscloser to an international airport to be more accessible to more students in the region as well asbe more conveniently located for industry sponsors who
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
Paper ID #13585Evidence of Learning Gains in Statics as a Result of Simulation-Based In-structionDr. Christopher Papadopoulos, University of Puerto Rico, Mayaguez CampusDr. Aidsa I. Santiago Roman, University of Puerto Rico, Mayaguez CampusDr. Genock Portela-Gauthier, University of Puerto Rico, Mayaguez Campus Genock Portela is Associate Professor and Associate Director in the Department of General Engineering at the University of Puerto Rico, Mayaguez. He earned a Ph.D. degree in civil engineering at the Univer- sity of Puerto Rico, Mayaguez (2004). Portela has primary research and teaching interests in structural mechanics
Paper ID #12311Using Student Knowledge of Linear Systems Theory to Facilitate the Learn-ing of Optical EngineeringDr. Cameron H. G. Wright P.E., University of Wyoming Cameron H. G. Wright, Ph.D., P.E., is an Associate Professor with the Department of Electrical and Computer Engineering at the University of Wyoming, Laramie, WY. He was previously Professor and Deputy Department Head in the Department of Electrical Engineering at the United States Air Force Academy, and served as an R&D engineering officer in the U.S. Air Force for over 20 years. He received the B.S.E.E. (summa cum laude) from Louisiana Tech University
Paper ID #14133Work in Progress: Flatlab - An interactive learning environment for experi-ential learning, problem-based assessment, and dynamic instruction in engi-neeringProf. Peter Goldsmith P.Eng., University of Calgary Peter Goldsmith is an Associate Professor in Mechanical Engineering at the University of Calgary. He holds a PhD in Mechanical Engineering from the University of Toronto. His research interests are in human-computer interfaces, control theory, robotics, mechanism analysis and design, applied and pure mathematics, and engineering education