Paper ID #38842Considerations for software-defined radio use within a project-basedlearning subjectDr. Glenn J Bradford, University of Melbourne Glenn Bradford is a Teaching Fellow in the Department of Electrical and Electronic Engineering at the University of Melbourne. His main focus is creating innovative curriculum that incorporates practical, hands-on experiences to better drive student learning. From 2015 to 2020, he worked as a 5G Wireless Systems Engineer at Intel Corporation developing advanced 5G wireless prototypes and systems exploring the convergence of 5G wireless with emerging immersive media applications
Paper ID #39917Board 84: The 2TO4 Project - Facilitated Transition from 2-Year to4-Year Engineering Studies (WIP)Dr. Kenneth A Connor, Rensselaer Polytechnic Institute Kenneth Connor is an emeritus professor in the Department of Electrical, Computer, and Systems Engi- neering (ECSE) at Rensselaer Polytechnic Institute (RPI) where he taught courses on electromagnetics, electronics and instrumentation, plasma physics, electric power, and general engineering. His research in- volves plasma physics, electromagnetics, photonics, biomedical sensors, engineering education, diversity in the engineering workforce, and technology
Paper ID #43708Board 87: Work in Progress: The 2TO4 Project - Facilitated Transition from2-Year to 4-Year Electrical and Computer Engineering StudiesDr. Kenneth A Connor, Inclusive Engineering Consortium & Rensselaer Polytechnic Institute Kenneth Connor is Program Officer at the Inclusive Engineering Consortium (IEC), whose mission is to enable MSI ECE programs to produce more and better prepared graduates from groups that have been historically underrepresented in ECE careers. He is also an emeritus professor in the Department of Electrical, Computer, and Systems Engineering (ECSE) at Rensselaer Polytechnic Institute (RPI
. He is an author of numerous research papers and presentations in these areas. He has worked on undergrad- uate education research projects sponsored by Northrop Grumman, Boeing, and Lockheed Martin. Dr. Aliyazicioglu is a member of the IEEE, Eta Kappa Nu, Tau Beta Pi, and ASEE. Aliyazicioglu is faculty advisor for the student chapter of the IEEE. ©American Society for Engineering Education, 2023 Sensor Fusion Algorithms and Tracking for Autonomous Systems Abstract This paper discusses the results and experiences of an undergraduate senior project sponsored by an industry. The project focused on applying sensor fusion and localization algorithms to generate highly reliable and accurate
, SacramentoDr. Milica Markovic, California State University, Sacramento Milica Markovic is a Professor of RF Engineering at California State University, Sacramento. She grad- uated from the University of Belgrade, Serbia, and received her Ph.D. in Electrical Engineering from the University of Colorado, Boulder. Her research interests are high-frequency circuits and engineering education. ©American Society for Engineering Education, 2023 WIP: Engineering Gateway Course Redesign for Equity through Critical PathsAbstractIn this paper, we describe an ongoing project involving a comprehensive redesign of sixElectrical and Electronic Engineering (EEE) undergraduate courses at
Oxford, OHIntroduction I n educational settings, collaborative learning has emerged as a cornerstone of teachingpractice, emphasizing the importance of group work in fostering student engagement, critical thinking, and knowledge retention. Within engineering programs, where teamwork and interdisciplinary collaboration are integral components, the efficacy of group formation strategies directly influences the learning outcomes and overall educational experience of students. Recognizing the role of optimized group formation in enhancing inclusivity and promoting collaborative learning environments, our project aims to address this imperative need by developing an innovative application
through the scary woods: you’d better stay on the trail or risk getting very lost.Each of these lab models has important benefits, pedagogically and practically. The followingsection introduces low-cost FPGAs, which combine many of the benefits of these differentapproaches.Low-cost FPGAsNot long ago, “Low-cost FPGA” was an oxymoron. That is no longer the case: There are nownumerous FPGA development boards under $50, including the UPduino 3.1 [5], WebFPGA [6],and the tinyFPGA family [7].Lattice Semiconductor defined this category with the iCE40, a lineup of simple and low-powerFPGAs with a few thousand logic elements and a few dozen I/O pins [8]. The IceStorm project[9] publicly reverse-engineered the iCE40 architecture and bitstream format, and
, partnerships only work ifthere is sufficient trust, which comes from knowledge of and engagement with one another.IntroductionThe Inclusive Engineering Consortium (IEC) is a collaboration of 21 Electrical and ComputerEngineering (ECE) programs from Minority Serving Institutions (MSIs) and similar programsfrom several Predominantly White Institutions (PWIs), along with several industrial partners.Established in 2019, IEC aims to improve the diversity and preparedness of Electrical andComputer Engineers by fostering collaboration among its member institutions. The IEC wasborn from a successful NSF-funded project that aimed to implement Experiment CentricPedagogy (ECP) in 13 HBCU ECE programs [1]. The participants in this project realized
IEC Core MSI faculty release time andresearch expenses so that their student cohort could begin their research experience at their homeinstitution. Faculty from UCSD and the student’s home institution co-advised the students for theentire year of the project. This helped the students be prepared to make optimal use of their timeat UCSD. In addition, faculty at the IEC Core MSI schools were able to build their local researchactivities and develop collaborations with UCSD faculty. Students were encouraged to attendgraduate school and provided additional preparation by participating in an internship trainingexperience at UCSD. The two IEC Core MSI schools participating were one HBCU FAMU andone HSI UTEP. Students were also encouraged to apply
EducationAbstractThe vast scope of digital design and the cost associated with purchasing and maintainingspecialized lab equipment can pose a significant obstacle for pre-college students. This challengeis particularly significant for students from low-income and underrepresented minoritybackgrounds who often begin their higher education journey in community college programswith limited funding and access to engineering hardware. BEADLE, a project designed topromote equity in access to educational technologies, seeks to address this issue by providing anaffordable platform that allows students to remotely access industry-grade hardware to learn anddevelop their skills in digital design as a step towards pursuing advanced digital designcoursework in a
to learners with disabilities. She is supported by the Knight-Hennessy Scholarship and the RAISE Doctoral Fellowship.Trisha Kulkarni, Stanford UniversityDr. Sheri D. Sheppard, Stanford University Sheri D. Sheppard teaches both undergraduate and graduate design-related classes, conducts research on fracture mechanics and finite element analysis, and on how people become engineers. From 1999 to 2008, she was a Senior Scholar at the Carnegie Foundation for the Advancement of Teaching, leading its engineering study. Sheppard has contributed to significant educational projects, including the Center for the Advancement of Engineering Education and the National Center for Engineering Pathways to Innovation (Epicenter
professional skills acquired from education and needed inthe workplace [7]. In this context, professional skills are defined as “skills essential to thrive in awork setting but not historically included in engineering or engineering technology coursework.”The nine professional skills surveyed were: communication skills, emotional intelligence,teamwork and multidisciplinary work, curiosity and a persistent desire for continuous learning,project management, critical thinking, self-drive and motivation, cultural awareness in a broadsense, high ethical standards, integrity, and global, social, intellectual and technologicalresponsibility. Results showed that nearly 59 percent of respondents felt unprepared inmanagement and business skills, 60 percent in
communities increases satisfaction and overall success[1]. Our project focuses on three facets of building communities: cultural responsiveness,drawing on family support and connectedness, and building student cohorts [2, 3, 4]. Culturalresponsiveness, which includes building community and a sense of belonging, has shown tobenefit students in many areas, such as satisfaction and academic success. Culturalresponsiveness benefits students and families from all backgrounds, including all socioeconomicbackgrounds, geographic communities, ability groups, genders, religions, etc., by 1) promotinginstructional practices that accommodate and affirm student differences; 2) prioritizing students’academic development; 3) building educational environments that
students were available to answer the students' questions. Figure 4a: Circuit diagram of the RC Figure 4b: Circuit connection on the experiment breadboard of the RC experimentFigure 4c: Pictorial representation of the ADALM 1000 output result for the RCexperimentComputer ScienceComputer systems are at the foundation of major breakthroughs in information and communicationtechnology (find any paper and cite here). At the heart of these systems lies digital circuits, whichnecessitated the expansion of the ECP project to the computer science department. The objectiveof the carefully curated experiments is to drive down the concept of digital circuits by giving thestudents practical and hands-on
of Public Policy at Georgetown University, Washington, DC. She is involved in projects in the intersection of education, data mining, machine learning, ethics, and fairness. Her research interests include data mining, recommender systems, predictive models within educational contexts, and the fairness concerns that arise from their use. Her goal is to help students succeed using data and machine learning models.Joaquin Molto, Florida International University Joaquin Molto is a Florida International University student who has earned his B.S. in Computer Science with a Minor in Mathematical Sciences. He is currently pursuing his M.S. in Computer Science and is passionate about Software Engineering, AI, and Machine
engineering education, global engineering education, and social issues in STEM research and practice. Recently, she has taken on new NSF projects to broaden participation in quantum engineering (IUSE Level 3), research abroad (IRES Track 1), and use-inspired research (Convergence Accelerator Track I). Having grown up in Australia, Canada, Korea, and Germany, she speaks three languages. Leveraging her international connections, she has served in leadership positions in the Korean-American Scientists and Engineers Association (KSEA, Vice President), Korean Society for Engineering Education (KSEE, International Relations Board Member), and the International Federation of Engineering Education Societies (IFEES, Executive
Paper ID #41591WIP: A Novel Learning Log Application for Classifying Learning EventsUsing Bloom’s TaxonomyDr. Alex M. Phan, University of California, San Diego Dr. Alex Phan is the inaugural Executive Director for Student Success in the Jacobs School of Engineering at UC San Diego. Prior to his appointment, he has served as a project scientist, engineer, and lecturer, teaching across multiple divisions, including the Jacobs School of Engineering (Dept. of Electrical and Computer Engineering, Dept. of Mechanical and Aerospace Eng., Dean’s Office Unit) and UC San Diego Division of Extended Studies. His teaching interests and
and security-related projects, they can prioritize companies.Intel Corporation, Analog Device, and NVIDIA are located in the US, but NXP Semiconductor isheadquartered in Eindhoven, Netherlands.Asking participants to name four examples of chips that are mostly analog or digital in this test(Questions 12 and 13) might help evaluate their understanding and skill with semiconductortechnology. We can gather essential information about participant knowledge, experience, andpreferences regarding analog and digital chips by incorporating these kinds of questions. Radiotransceivers, image sensors, amplifiers, and temperature sensors are examples of analog chips.Microcontroller Units, Random Access Memory (RAM), Graphic Processing Units (GPU
produced include a concept map. Students leave the course with a clear listof which topics they mastered and which they are still working on. This model still permits roomfor traditional laboratory and project components.IntroductionIn standard teaching, course topics are covered on a set schedule and exams occur at set schedules.If students have not learned the material for an earlier portion of the class, the course moves alonganyway and focuses on new more difficult material that builds on the previous material thatstudent still does not understand. This promotes a fixed mindset promoting the idea that if youdidn’t get a concept, you never will. At the end of the course, students may only have a partialunderstanding of the material and may be
Track 1, I-Corps, and I-Corps for Learning) as principal investigator. She transitioned to tenure track in Fall 2022 to pursue her research interests in convergence in engineering education, global engineering education, and social issues in STEM research and practice. Recently, she has taken on new NSF projects to broaden participation in quantum engineering (IUSE Level 3), research abroad (IRES Track 1), and use-inspired research (Convergence Accelerator Track I). Having grown up in Australia, Canada, Korea, and Germany, she speaks three languages. Leveraging her international connections, she has served in leadership positions in the Korean-American Scientists and Engineers Association (KSEA, Vice President
student took to prepare for the internship hiringprocess. ”Preparation for an internship is crucial to secure a spot. The first thing that would needto be organized is your resume. Making sure all the relevant work experiences (if you have any),accomplishments and skills are properly listed can help you stand out. Assuming one has the rightskills for the job gained from academic experience, that should be listed on the resume. One caneven display projects they did either for class or in a club.Prior to an interview, it is best to express interest in the company and do research prior to workingfor any company. Nobody should go to an interview without knowing what the mission of thecompany is. In this case, before I was interviewed and hired at J
experience with circuits.Demographic information was collected using the Comprehensive Assessment of Team MemberEffectiveness (CATME) teaming software. CATME is a web-based application developed byresearchers at Purdue University to improve the effectiveness of student teams in collaborativelearning environments [34]. Students were required to collectively complete thirteen weeklyhomework assignments and one group project in the collaborative learning framework.Additionally, students were encouraged to prepare for exams as a group. However, aside fromthis collaborative approach to coursework and study, students were required to individuallycomplete two midterm exams and a final exam.Participants and Data CollectionPre- and post-course surveys were
lectures, onlinehomework / projects / exams, and students were provided support through weekly virtual officehours. Participation with lectures was a mandatory course element with weekly deadlines foreach set of lectures. For the flipped-style iteration, the course content was again delivered usingthe same pre-recorded virtual lectures (also as a mandatory course element with weeklydeadlines), online homework / projects / exams, but students were able to attend optional face-to-face work periods with the course instructor during the regularly scheduled lecture times.This work will provide a quantitative analysis and comparison of student course performance(e.g. final grade and final cumulative examination grade) across modalities. The aim is
ideation are just as critical to success astechnical skills. In addition, due to the huge amount of data, visualization or graph tools canenhance the understanding of data and facilitate the critical-think process to solve a problem.Besides providing training on mathematical backgrounds, domain knowledge, technical skills,and soft skills, ECE programs can provide unique hands-on projects in their curriculum, andapplication platforms of AI such as autonomous driving and robotics which are not normallyincluded in computer science curricula.3. MethodsAn AI certificate program was launched in 2019 at the Department of Electrical and ComputerEngineering at the University of Texas at San Antonio. Currently, 605 undergraduate students areenrolled in the