4th, 5th, and 6th grade studentsover a period of two years in several school districts across Missouri. We surveyed 129 studentswith pre- and post-instruments. We found that students reported high positive attitudes towardmath and science. Males and females did not differ in attitudes toward math and science. Toassist teachers with understanding the relatively new engineering and science standards, we areadding specific standards to the curricula. We provide such an overview of standards below forboth engineering and neuroscience. We also note that the comparative theme of human(brain/body) and artificial (Lego) robotics used in the curriculum is not only interdisciplinary andengaging, but also enables inclusion of science, mathematics
University of Illinois at Urbana-Champaign in 2007, and the M.S. and Ph.D. degrees from Rensselaer Polytechnic Institute in 2009 and 2011, all in Electri- cal Engineering. She is currently a Teaching Assistant Professor with the Department of Electrical and Computer Engineering at University of Illinois at Urbana-Champaign. Prior to joining Illinois ECE as a faculty, she worked at IBM Systems Group in Poughkeepsie, NY in z Systems Firmware Development. Her current interests include recruitment and retention of under-represented students in STEM, integrative training for graduate teaching assistants, and curriculum innovation for introductory computing courses. American
) program at MSOE is transitioning from a quarter-basedacademic calendar to a semester-based academic calendar and is uniquely situated to reimaginethe curriculum with a mobile studio approach at its core. While exemplary case studies of mobilestudio platform usage in single courses or course sequences can be found in the literature, thiswork documents a proposal to design a new Electrical Engineering curriculum that utilizes acommon mobile studio platform throughout all years of the curriculum, across many courses.This paper is organized as follows: Section II summarizes the current state of the literature onmobile studio pedagogy; Section III examines the proposed curriculum integration of a mobilestudio lab instrumentation; Section IV presents
systemengineering curriculum. Smart grid courses should cover projects that are aligned with the theoreticalunderpinnings introduced in the course and should also embed a project-based learning approach[12]. According to the study [13], a smart grid education module should include the emergingsmart grid technologies, such as energy storage technologies, advanced power electronics,control systems, automation, renewable energy systems integration, system optimization, real-time control, and other related topics as well as to meet the challenges ahead in the electricpower sector. Authors in [14] discussed power systems engineering in terms of curriculum,supply, and demand for education, faculty careers, and alternative strategies and emphasized
UCSD. American c Society for Engineering Education, 2021 The Art of Product Engineering:Integrating IoT Systems and Human-Centered Design Principles for Entrepreneurs of TomorrowAbstractIn the ECE department at our university, we have been surveying and studying the needs of ourstakeholders for many years: our students, managers from companies that hire our graduates, ourfaculty and staff. In the 2016-2017 academic year, we undertook an initiative to build a new typeof capstone course to meet the needs of our stakeholders, and the result was our course. Thecourse is an ambitious, two-quarter sequence that integrates full-stack software development
graduating from the United States Air Force Academy(USAFA). In 2010 there were 28 graduates. In 2020 there were 15 ECE graduates. This declineis not necessarily unique to USAFA. The United States saw only 10% of the global science,technology, engineering, and math (STEM) bachelor’s degrees in 2018 [1]. About half ofstudents who enter a STEM program do not graduate with a STEM degree; most of thesestudents drop out during their first or second year of college due to the increasing difficulty andcomplexity of STEM programs [2], [3], [4]. To motivate and engage students, undergraduateeducators must design a curriculum that integrates hands-on learning early in the program that isrelevant and can provide students a sense of ownership of their educations
quantized systems with applications to adaptive and dual control and the design of distributed autonomous control systems; the development of advanced signal processing and data analytics for monitoring and tracking of physiological behavior in health and disease.Mr. Nicholas A. Barendt, Case Western Reserve University Nick Barendt is the Executive Director, Institute for Smart, Secure and Connected Systems (ISSACS) at Case Western Reserve University, in Cleveland, Ohio. He is also an Adjunct Senior Instructor in the Department of Electrical, Computer, and Systems Engineering and the Department of Computer and Data Sciences at Case Western Reserve University. He has worked in a variety of industries: Industrial
one of the importantgoals of the undergraduate engineering curriculum. Accordingly, Bloom’s taxonomy has becomean important tool for science and engineering educators [16][17][18] to ensure an adequatecoverage of high-level cognitive skills in the curriculum in order to prepare students to effectivelydesign engineering systems in industry [19].The application of Bloom's taxonomy to the laboratory experiences and reports assessed in thispaper is shown in Figure 1. Students are expected to enter into the laboratory with prior knowledgeof Finite State Machines and the fundamentals of Hardware Description Language(SystemVerilog). The 6th level of Bloom’s taxonomy was not included in the study because theoutcome (goal) of the laboratory was
develop industry-readiness in our students and support theirlearning of professional skills. The course is not designed to teach additional technical content,but rather to give students opportunities to integrate the content learned across other courses intoa single project. Because of this, students are required to have two engineering scienceprerequisite courses completed before taking the course, an introductory controls systems courseand a microcontrollers course. In our curriculum, SEED Lab replaced another requiredmultidisciplinary discrete experiments-based laboratory course which had less intensivetechnical learning objectives and lacked an explicit emphasis on intradisciplinary systemsintegration. SEED Lab is a prerequisite course for EE
IEEE and serves as an Associate Editor for International Journal of Electronics American c Society for Engineering Education, 2021 Enhancing Student Learning via Hardware in HomeworkI. Introduction:An important problem that has come up over the years in some engineering programs is the lossof laboratory experiences in favor of more theoretical emphasis in upper division courses. InElectrical Engineering (EE) curriculums, the majority of programs now include laboratory workonly in introductory courses such as circuits and logic design [1]-[3]. Advanced courses such asElectronics II, Communications, and others have lost their labs due to the curriculum changesand the
equations, wave propagation, and transmission line theory.The purpose of the in-class experiments and simulation demonstrations is to provide a strongerconnection between abstract theory and their physical meanings. By connecting themathematical concepts and engineering applications to the physical world, it generates moreinterests and in-depth learning, and reinforces the understanding of the underlying EM theory.I. IntroductionThe classical electromagnetic (EM) theory guided by Maxwell’s Equations has been around forover 150 years. It has an incredible impact on many modern technologies such as antennas andwireless communication, integrated circuits and computer technologies, remote sensing, lasersand optoelectronics, and more. Nowadays, with the
mental models and tools by presenting and tackling moreill-defined real-world problems so that there is a natural transference of learning and practicetoward the students. This work provides an opportunity for educators, curriculum designers, andresearchers in this field to innovate instructional design and create methodologies to interrogate,pinpoint, and remedy potential misconceptions, which may be largely influenced by students beingunable to have a tangible outlet for which they can apply their learning of abstract and intangibleengineering concepts.Keywords: electrical engineering, electric circuit concepts, misconceptions, real-world electricalphenomena 1IntroductionOne of the goals of
successfully complete the project, students need to think critically and creatively about howtheir programming skills can create value, not just in a functional game, but one thatcommunicates and educates effectively on a unique issue. Ultimately, this is an engineeringproject, not just a programming task [1].As part of the Kern Entrepreneurial Engineering Network [citation to Engineering Unleashed],Marquette is committed to “Entrepreneurial Mindset” as part of their student mindset.Entrepreneurially Minded Learning is utilized throughout the curriculum. EntrepreneuriallyMinded Learning is not focused specifically on entrepreneurship, but instead on developingmindsets focused on Curiosity, Connections, and Creating Value [2].Literature BackgroundEML
complete the entire curriculum (expected in Spring 2023), the summative levelassessment can evaluate the overall effectiveness of the vertical integration of CPS/IoT. At thattime, through the analysis of the amount of CPS/IoT materials implemented in respectivecourses, number of students participated, grades, graduation rates, and specific aspects of projectactivities, how successful the CPS/IoT infusion could improve student learning and motivate thestudents to pursue advanced studies and careers in CPS/IoT areas will be revealed.Conclusions and future workThis paper presents an on-going effort that enhances undergraduate training in EE programthrough curriculum integration of CPS/IoT and improves the presentation of minorities in high-demand
Scientific and PracticalComputing, 1, 67–69.[10] Wing, J. M. (2008). Computational thinking and thinking about computing. PhilosophicalTransactions of the Royal Society, 366(1881), 3717–3725.[11] del Olmo-Muñoz, J., Cózar-Gutiérrez, R. and González-Calero, J.A., 2020. Computationalthinking through unplugged activities in early years of Primary Education. Computers &Education, 150, p.103832.[12] So, H.J., Jong, M.S.Y. and Liu, C.C., 2020. Computational thinking education in the AsianPacific region.[13] Yang, D., Baek, Y., Ching, Y.H., Swanson, S., Chittoori, B. and Wang, S., 2021. InfusingComputational Thinking in an Integrated STEM Curriculum: User Reactions and LessonsLearned. European Journal of STEM Education, 6(1), p.04.[14] Jovanovic, V.M
, based on feedback from our industry partners and alumni, we saw that thestudents performed very poorly in software design. When they were tasked with writing a smallscript to accomplish a specific goal (e.g., computing the Fibonacci sequence), students performedjust fine. However, when given a larger design specification and asked to build a completeend-to-end system integrating both hardware and software, students did not even know where tobegin. Some might argue that those skills should belong only to computer scientists, but that issimply a fallacy. For the vast majority of engineering professions today, good programmingskills are no longer an option but a prerequisite.With these insights in mind, we designed a sophomore-level course that
the color of the object placed into the mouth of the robot. An RGB will light up with the corresponding color of the object.● Linjebot: A line following robot. Students learn to program and calibrate line sensors and tune their PID (proportional, integration, derivative) controller. Students adjust potentiometer settings to change the PID error constants and follow various obstacle pathways. Fig. 2. Project in a Box kit collection used as an instructional platform in outreach workshops and programs.DocumentationWhile the kits themselves are inspired by online DIY projects, the documentation allows theparticipants to follow at their own pace and work through the steps of assembly andprogramming in the kit.The standard documentation begins
, flexibility comes with a higher demand forstudent self-guidance abilities. Though the rapid switch to online instruction proved to bechallenging, early data shows that the integration of online labs has a likely chance to persistas part of the curriculum, perhaps in combination with hands-on labs. For example, one couldthink of using online labs as preparation for hands-on labs to better understand boththeoretical concepts and basic technical procedures and use face-to-face lab time for morecomplex activities.In online learning environments, user experience (UX) is the users’ perspective of andresponse to using the systems. Faculty and students are both users of the interfaces for onlinelabs and experiments. Faculty are responsible to design
expectations. Middle school studentsparticipating in appropriate mentoring activities are more likely to be interested in STEM areasand have a greater chance of choosing an engineering or technology related discipline whilepursuing higher education. Middle school curriculum-based classroom activities do not provideessential STEM related learning experiences and hands-on practice. Non-traditional settingssuch as through after school activities in community centers can provide the necessary impetus.Providing mentorship at such after-school centers by university students pursuing engineeringcourses can provide a useful resource that can build mutual confidence of both the universitystudents and that of the middle schools children. Robotics is an
++, which makes it possible to capture any changes in the environment. Each UAV isrepresented as a node in OMNet++ and communicates wirelessly by using the INET library.However, there is another challenge due to the different simulation mechanisms between Gazeboand OMNet++. The Gazebo is a time-based simulator, and OMNet++ is an event-drivensimulator which means the synchronization of both simulators needs to be carefully andaccurately handled. One alternative is to implement a module setting ROS clock as the timereference and scheduling a corresponding OMNet++ message so as to force the OMNet++simulator to generate an event based on timestamps in ROS [22].Most recently, a more sophisticated open-source integration interface of ROS-Network
less than 0.5 °Cvariation under 15 W heat load from devices-under-test (DUTs). A hermetic DUT environmentwas designed using nitrogen purging and active humidity sensing to control relative humidity (RH)within the environment to beneath 5% RH. Undergraduate students gained experience designingfor manufacturability and machining with CAD tools not typically explored in typical electricalengineering design projects. An automated switch-matrix was designed and implemented toautomate testing and allow for programming of complex stress-measure-stress reliability testingprofiles. Control and automation were enabled using common Mbed processors used throughoutan undergraduate electrical engineering curriculum. To accomplish a unified design which
interests are in integrating physical models with data driven approaches for information extraction using remote or minimally intrusive sensing. He has over 160 publications. He is Fellow of SPIE and the Academy of Arts and Sciences of Puerto Rico. Received the Presidential Early Career Award for Scientists and Engineers award from the US President in 1997. He chairs the SPIE Conference on Algorithms, Technologies and Applications for Multispectral, and Hyperspectral Imaging. He is board member of the Inclusive Engineering Consortium (IEC).Dr. Shiny Abraham, Seattle University Shiny Abraham is an Associate Professor of Electrical and Computer Engineering at Seattle University. She received the B.E. degree in
related IT tasks, (ii) operational aspects, (iii) overall user reception of this approachand also about (iv) the cost vs value considerations of this approach.With minor operational modifications, this approach can be applied as a generic model for manyengineering courses that have compute-intensive lab components. It’s a modular cloud-basedsolution that can be rapidly deployed to address specific course needs. We begin with a briefdescription of the Digital VLSI course, as a running example.Running Example – Digital VLSI CourseThe Digital VLSI course constitutes an important component in upper division electrical andcomputer engineering curriculum in VLSI (Very Large Scale Integration) and System-On-Chip(SoC) design. In addition to in-class
to improve our lessons and add to them, with the goal of providing a morecomplete set of materials that can be shared with high school teachers, which would includewrite-ups and assessments as well as teaching manuals. We are also planning to explore optionsto integrate these lessons in remote summer camps or after-school programs. While the currentpandemic-induced remote education situation will not endure indefinitely, we believe that theseeducational materials and approach may be useful for remote instruction during “snow days” andwill also provide an ongoing opportunity to offer EE-centric STEM outreach to high schoolstudents in remote and rural areas who are often left out of university-based STEM outreachevents and the many STEM events
technical development and an afternoon session focused onprofessional development. Lesson plans were scheduled five days a week during a regular workweek. Fig. 1. Major technical and professional topics introduced in the five-week program.In the technical session, important topics such as Python, microcontroller and circuit basics,machine learning, 3D modeling, PCB design, and app development were covered. These topicswere selected as they lend themselves to preparation for certain advanced coursework in thedepartment curriculum. In the professional session, networking, resume building, industry andfaculty interaction, campus resources, mock interviews were introduced in the form of guestspeakers or workshops. In the last week of the program
second year students and serve as a motivating introduction to the program. The coursesoften use prototype boards to interface sensor and actuator modules from a system-levelintegration perspective. There are also courses at the other end of the spectrum that focus on thelow-level development of microcontroller firmware and how microcontrollers interface withindividual sensors, actuators, and other devices. Due to the detailed nature of the material, it canbe challenging to present these topics and labs within the context of an overarching project whilestill limiting the scope to fit within a single term.Pinball machines integrate many core topics of electrical engineering, computer engineering,mechanical engineering, and computer science in
the REAL system was limited to peer institutions.Limited availability of the PI due to an appointment as department head hindered promotion anddissemination efforts, although the PI indicated that he believed there was potential for greaterinterest in the system if given extensive promotion over time [15].2.2 The anTpaTT system Electrical Engineering faculty at WSU recognized the value of a low-cost antennaradiation pattern measurement capability to enhance a curriculum in electromagnetics andwireless communications. In the near term, the space and budget requirements for a research-grade antenna-pattern measurement system (antenna positioning system, anechoic chamber, anddedicated network analyzer) are beyond the department’s reach. A
overview of the course curriculum offered to test this new remote laboratoryscheme.The course titled Introduction to IoT Edge Computing is a hands-on laboratory course wherestudents learn to build embedded, Linux-based IoT Edge Devices. There are a number of differentuse-cases for IoT Edge Devices, but generally, they are infrastructure level components that addextra capability to the local network to enhance an IoT sensor network. The importance of thesedevices will grow as more and more AI applications using IoT sensor data are deployed in homes,offices, factories, and elsewhere. By moving smart decision-making from the Cloud to the localnetwork, an IoT Edge device enables low latency processing, control, and decision-making whilereducing
offering features such as chat rooms and direct messaging, to encourage discussions and interactions in the class. Slack provides more instant communication and is also more mobile-friendly than email communication.4) Adjust the term project so that students could choose to do a group project or an individual project. The requirements of additional hardware components for the project were minimized. The project assessment focused more on unit testing and system integration with some level of simulation instead of full hardware integration. The final presentation of the project was changed from in-person oral presentation format to virtual format. Each project group was required to make a 10-minute video of their project presentation
providing enough graduates with an appropriate background to work inthese areas. It may stem from the fact that wireless communications, DSP, and SDR are alltopics traditionally taught at the graduate level within Electrical and Computer Engineering(ECE). Thus, the majority of persons with the requisite knowledge and interest will be ECE MSand PhD graduates. While many ECE graduate level students are strong coders, softwaredevelopment skills are not the primary focus of traditional ECE programs, at least whencompared to that of a typical Computer Science (CS) curriculum. This results in a small pool ofcandidates for positions in wireless communications and SDR, made up of MS and PhDs in ECEwho happened to focus within the area of wireless