AC 2010-2251: PRISM: TEACHING DIGITAL PROFICIENCIES FOR 21STCENTURY ENGINEERING EDUCATIONPatricia Carlson, Rose-Hulman Institute of Technology Patricia A. Carlson (PhD) is a professor at Rose-Hulman Institute of Technology (Terre Haute, Indiana). She is the author of over sixty referred publications and presentation. She serves on the editorial board of the Journal of Interactive Learning Environments and Journal of Universal Computer Science. Carlson has used her experience in implementing technology into the classroom on two large-scale Lilly Endowment grants and on two National Science Foundation funded research projects. She is now the Director of the PRISM Project, a large-scale
around $1.7M of research and development grants from various national and international funding agencies. He is a member of the editorial board for a number of professional journals as well as an Editor-in-Chief of the International Journal of Online Engineering. He is active with various professional organizations (IEEE, IET, ASEE, and ISA) as well as a member of board of Trustees of CLAWAR Association. He has served as Chair and Co-Chairs of numerous conferences and workshops, in addition to serving on the program committees of around 30 international conferences. Dr. Azad is a project proposal reviewer with various national and international funding agencies in US, Europe, and AustraliaMr. Syed Abdul Hadi Razvi
walkingrobot.The projects discussed in this paper have the following set of objectives. 1) To introduce and explore methods for locomotion other than wheels and tracks. 2) To demonstrate the methodology for both structural design and gait synthesis in articulation-based locomotion. 3) To demonstrate a methodology for extrapolating biological locomotion methods to robotic systems.The metrics for success in these endeavors involve measurement of the performance of thestudents’ designs as well as evaluation of the insight generated during the exercise. As such, allprojects receive a performance grade separate from the report grade, wherein students maymitigate some of the poor performance of the system through careful exposition and
resources reveals the need fornew tools which can treat metadata not only as static data but as information in constantevolution, thus supporting the effective development of educational resources. Secure andcomfortable authentication systems (SSO), trust facilities or how to connect on line communitiesare issues we are going to take into account in future developments.AcknowledgementsThe authors would like to acknowledge the Spanish Science and Innovation Ministry and theSpanish National Plan I+D+I 2004-2007 the support in the project TSI2005-08225-C07-03"MOSAIC Learning: Mobile and electronic learning, of open code, based on standards, secure,contextual, personalized and collaborative" and to the CYTED-508AC0341 “SOLITE-SOFTWARE LIBRE EN
. Amongstthe encouraged work, there is the I-ATMUS project (Integrated Auto-ID Technology forMultidisciplinary Undergraduate Studies) that involved developing a remotely controllable RFIDlaboratory system. Technological resources can now be accessed by learners through the Webtechnology to apply appropriate configurations to the system, conduct experiments using RFIDtechnology, and perform statistical analysis on the acquired data. Furthermore, the developededucational tool was used by a class of student that showed improvements in their confidence,knowledge, and skills.IntroductionFor some technologies, the supply of their qualified users struggles to match the pace of theassociated growing demand. In other words, the growth of the skilled-user
acceleration, to computer science algorithms that can havedifferent complexities and speeds.When building instructional material for STEM courses, a professor, even when not aware of theprocess (see Figure 1 to compare educational model and software development model), is usuallyfollowing the “the systematic process of translating general principles of learning and instructioninto plans of instructional materials and learning,” by applying a model such as the ADDIE model,which consists of five interrelated phases—Analysis, Design, Development, Implementation, andEvaluation. Incidentally, the educational model is similar to the model that is used and taught inSTEM courses such as Software Engineering, Project Management, and Quality Assurancecourses
experimentswhile being better prepared for later computer-based courses and job opportunities.IntroductionBiomedical engineering (BME) blends several engineering fields towards biologicalapplications. BME projects from x-ray imaging to gait analysis to electromyography topacemaker design all require both data collection and analysis, often done with either specializedsoftware packages or homegrown programs. In our department’s sophomore-level introductoryprogramming class, we teach basic programming via MATLAB (The MathWorks, Inc.) withspecific applications for later classes such as signal analysis, instrumental interfacing, andmultidimensional image reconstruction. In the past, as with many programming classes, ourweekly two-hour lab sessions involved
satellite design. Although my primary focus is with aerospace applications, I participate in many projects related to controls and heat transfer. Aside from my research, I focus heavily on the advancement of engineering education at the collegiate level. I work on revising and updating laboratory experiments to help improve student understanding of how concepts are applied and utilized. I also spend time writing design optimization MATLAB codes for various applications.Mr. Michael Golub, Indiana University-Purdue University of Indianapolis Michael Golub is the Academic Laboratory Supervisor for the Mechanical Engineering department at IUPUI. He is an associate faculty at the same school, and has taught at several other
, development, andimplementation of a remote laboratory facility using an embedded processor. The embeddedprocessor performs the function of the computer and server used for traditional remotelaboratories [7].In terms of embedded processors, this project utilized a Raspberry Pi that the systemcontroller as well as the web server. Raspberry Pi, a small-scale computing system with itsown operating system, replaced a full-scale computer/server, thereby reducing the cost andcomplexity of the remote laboratory design [8, 9]. The developed experiments can beaccessed remotely over the web using a suitable graphical user interface (GUI). The GUI isaccompanied by a live video feed, using a Raspberry Pi Camera, so the user can have a realtime video of the
development of approximate closed form solutions for linear self-adjoint systems, those that govern the responses of composite structures, and the analysis of dynamic systems. More recently, He has mentored numerous midshipmen through independent research projects and has directed two Tri- dent Scholars, the Naval Academy’s flagship research program. He has published over 50 journal and conference articles on these topics. Dr. Barton is actively involved in curriculum development and program assessment. He chairs ASME Committee on Engineering Accreditation. He serves a Commissioner for Engineering Accreditation Com- mission of ABET, Inc. and was a program evaluator for 6 six years prior to joining the commission. Dr
onlyincreases students’ interest and confidence in programming, but also enhances their abilities incomputational thinking skills, problem solving techniques, and creativity. Thus, we adopt it in ourCS 1 curriculum re-design to deliver a more exciting and engaging learning experience for studentsfrom different engineering majors.The rest of this paper is organized as follows. Section 2 presents the course outcomes and objec-tives. Section 3 describes the course structure and a series of CS 1 modules consisting of AppInventor projects. Section 4 presents assessment methodology and the assessment findings. Fi-nally, concluding remarks are presented in Section 5.2 Course OutcomesIn 7 , the authors stated: ”there is wide agreement that the US engineer
languages in the 1990's/2000's. Today, even relativelysimple embedded systems in practice may consist of tens of thousands of C code. However, introductory courses and textbooks mainly still focus on configuring and interfacing with peripherals, with little guidance provided to students on how to write programs that are elegant, robust, and scalable. The result is that much embedded systems code, including much commercial code, follows no particular programming discipline, is prone to bugs, and is hard to maintain. Many commercial embedded systems projects fail to become products, or 1experience failures in the field, as a
laboratories. c American Society for Engineering Education, 2018 Translating the Instructional Processor from VHDL to VerilogAbstractAn Instructional Processor has been developed for use as a design example in an AdvancedDigital Systems course. The system was originally modeled in VHDL and was simulated usingXilinx design tools to demonstrate operation of the processor. The design model can also besynthesized and implemented in hardware on a field programmable gate array (FPGA). The goalof this project was to translate the Instructional Processor into the Verilog hardware descriptionlanguage, while maintaining the same operational characteristics.VHDL and Verilog are IEEE standard languages used for the
journal and conference papers and one edited book in these areas. He has active membership and involvement in several learned societies, including the IEE, IEEE, ASEE, and ISA.Xueshu Song, Northern Illinois University Xueshu Song received his PhD from The Pennsylvania State University in 1989 and is a licensed professional engineer in the State of Illinois. He is a Professor of Engineering Technology at Northern Illinois University, USA. He has been the principal and co-principal investigator for eight application software development projects funded by the National Science Foundation. He is active in professional societies
every frequency there is a gain setting which gives a noise figure of less than 8 dB while simultaneously giving an IIP3 of better than 0 dBm and an IIP2 of better than 40 dBmWe selected the WBX daughterboard to provide a wide range of both transmitter and receiverfrequencies, as well as offering access to a large number of real-world radio signals for studentsto explore. For most students, the utilization of real-world signals during projects, homeworkassignments, and/or laboratory exercises, has proven very motivational. Page 22.998.4Since no single daughterboard will cover all of the possible usages and frequency
autonomous real-time systems compete inthe game. This research will provide a framework for future researchers who may follow in ourfootsteps.Another contribution of this research would be increased human performance. Previous researchhas demonstrated that real-time robotic systems can be used as a tool to improve humanperformance [5]. From observation, humans are not typically capable of modifying their scriptson the fly in order to achieve an optimal score once a fault has occurred. By demonstrating thedynamic modification of scripts to humans, the system may aid in improving their adaptivecapabilities.The motivation for this research was to determine the capacity of real-time systems to competewith humans. Over the years, research projects have
Directorat the Center of Engineering Education and Outreach at Tufts University. Hynesreceived his B.S. in Mechanical Engineering in 2001 and his Ph.D. inEngineering Education in 2009 (both degrees at Tufts University). Inhis current positions, Hynes serves as PI and Co-PI on a number offunded research projects investigating engineering education in theK-12 and college settings. He is particularly interested in howstudents and teachers engage in and reflect upon the engi- neering designprocess. His research includes investigating how teachers conceptualizeand teach and how students engage in engineering through in-depth case study analysis
AC 2008-2928: EVALUATING DEVELOPMENT BOARDS FOR LABORATORYBASED EMBEDDED MICROCONTROLLER COURSES: A FORMALEVALUATION MATRIXJeffrey Richardson, Purdue University Jeffrey J. Richardson is an Assistant Professor for the Electrical and Computer Engineering Technology Department at Purdue University where he teaches introductory and advanced embedded microcontroller courses as well as project development and management courses. At Purdue, he is active in the recruitment and retention of students, applied research and has written several conference papers related to teaching embedded microcontroller systems
Signal Processing Chapter in Phoenix, and is a member of Eta Kappa Nu, and Sigma Xi. Andreas Spanias is co-recipient of the 2002 IEEE Donald G. Fink paper prize award and he is a Fellow of the IEEE. He served as Distinguished lecturer of the IEEE SPS in 2004 and he received the 2004 IEEE signal processing society award for meritorious scientific service.Karthikeyan Ramamurthy, Arizona State University Karthikeyan Ramamurthy is a Masters student in the Department of Electrical Engineering and a student member of the Sensor Signal and Information Processing (SenSIP) center. He worked on the J-DSP project as a programmer of the J-DSP/LabVIEW interface.Jayaraman Jayaraman , Arizona State
embeddedsystems class for seniors and introductory graduate students. Example dissections will bepresented and discussed. The paper will detail how the dissections furthered the class toward itseducational objectives. Finally, qualitative comments from students will be provided, along withobservations from the instructor. IntroductionMississippi State University has recently revised its undergraduate computer engineering (CPE)program with input from alumni and advisory employers. The CPE program has focused onembedded computer systems. Embedded systems form a rich application source through whichCPE education can be made relevant. Embedded computer systems are a timely subject that isimmediately useful to students in their senior design projects
and our solarsystem. The visualization tool will use stereographic projection. This interactive simulation willallow a user to navigate through the local group of galaxies, looking at various galaxies in thegroup, navigating from one galaxy to another and measuring the distance between galaxies. Thesystem will also allow the user to navigate in a visualization of our solar system and view all theplanets that revolve around our sun. The objects in this system are rendered to scale in order forstudents to understand the large variation in sizes of objects found in the universe and to helpthem comprehend the velocity required to travel through space, the distance between twoplanets, two stars or even two galaxies.Upon completion of the
microcontroller extension. Results from student homework assignments indicate that theyare able to successfully design modifications to the processor and demonstrate their function viasimulation. The project continues to achieve its goal as a valuable instructional tool.IntroductionTeaching Advanced Digital Systems involves use of many design examples including counters,registers, arithmetic logic units, and memory. The design of a computer processor combinesthese components into an integrated digital system. Most modern commercial microprocessorsare too complex to be used as an introductory example of processor design. Hardwaredescription language models of these processors exist, but are often ad hoc and don't divide thearchitecture into teachable
will be required toscroll backward and forward during the lecture. The backward scrolling can be to fill in a tableor chart, or may be to refer to previous calculations as the problem builds. This backwardscrolling sometimes causes confusion with the students. The students feel as though the materialis jumping around. These cases are where using two tablet PCs and two projectors allow for amore seamless presentation.By using two tablet PCs and two projectors, it is possible to continuously project the table orprevious calculations. This allows the instructor and students to refer to the intermediate stepson the other screen that is being controlled by the second tablet. The two course deliverytechniques discussed here will use software that is
Systems 52 Materials 21 Mechanical 250 Mining 5 Ocean 181 Students could also answer “none of the above” or “prefer not to answer”Table 2. List of variables for this investigationWhat percent of time were the following instructional methods used in your high school classes? Projects using technology1In what ways have you used an eBook (electronic book) prior to coming to INSTITUTION 2? Schoolwork only (e.g., electronic textbook) Personal
to work in team-based environments has been frequently listed as one of the highly desiredcompetencies involved in preparing students for career success. Typically CGT courses are highly‘computer-centric’ and involve labs, projects, and even exams require students to spend considerabletime working on computers, leaving little or no time for communication and teamwork. Hence, as apractical alternative, this team-quiz activity was developed that entailed students to thoroughly reviewthe materials and prepare quiz materials based on that. The detailed quantitative and qualitativefeedback collected from the post-activity surveys demonstrate the effectiveness of this collaborativeactivity and its usefulness in promoting teamwork, while
postdoctoral fellow in the area of bioacoustics. He teaches dynamics, machine design, numerical methods and finite element methods. He has work for the automotive industry in drafting, manufacturing, testing (internal combustion engines—power, torque and exhaust emissions, vibration fatigue, thermo-shock, tensile tests, etc.), simulations (finite element method), and as a project manager (planning and installation of new testing facilities). c American Society for Engineering Education, 2016 Analytical Solution, Finite Element Analysis and Experimental Validation of a Cantilever BeamIntroductionThe purpose of this work is to show how a series of labs can be used to provide
controllers for simplified Hardware-in-the-Loop plants such as a digital servo motor. Designing controllers for complex physical plants isdifficult due to prohibitive costs or the risk of accidents caused by faulty controllers. Thesedifficulties can be overcome if a simulator replaces the hardware-in-the-loop physical plant.We designed and implemented the Control System Plant Simulator (CSPS) as a flexibleframework for simulating plant models in control system implementation projects. Theframework allows the user to model continuous and discrete plants defined as transfer functionsor systems of state-space equations. This paper describes the design of the CSPS framework byhighlighting the expansion and modification flexibility it provides with its
instructional media.The goal of our NSF project is to create a set of research-validated recommendations forthe development of science-centric video games. Research in instructional design andcognition have helped guide the types and amounts of educational activities that areincluded in the game. As a result of the development of a 3D immersive video game thatincludes chemistry-based challenges, we created a process that allows artists andinstructional personnel to create the necessary design documents to make an immersiveeducational video game. This process was developed over 8 months by aninterdisciplinary team of chemistry, computer graphics technology, and computer sciencestudents and faculty.IntroductionThe focus of our research is the
theassembly language view of the processor. At roughly midterm, students start with the nod4implementation document4. In other courses having a focus only on the architecture, theprocessor can be presented without the implementation. Courses with a lack of developmenttools can use the implementation document for reference. With the development tools on hand, aproject can be assigned to actually implement the project. Otherwise, students could possiblyuse an existing implementation to investigate the nod4 processor, considering changes to thenod4 architecture and implementation. There are many opportunities such as adding peripherals,new instructions, and addressing modes. Each document includes homework exercises.The nod Series HistoryFor my first
face-to-face courses.IntroductionChemical Materials Science is typically taught as a 4 lecture per week course. Studentperformance is evaluated via weekly homework and 2-3 exams per quarter. Past offerings of thisand other similar materials science courses have included features such as lab experiments andopen ended materials selection projects done in groups. These group projects typically involvedwritten and/or oral reports in order to improve soft skills and allow promotive interactionbetween the students. Collaborative learning has been a key feature of many courses at our Page 15.321.2university, and has been used extensively in other