and MQTT implementation. Hands-on experiments using ArduinoWiFi1010 board and grove sensors are designed to help deepen students’ understanding fordeveloping a small-scale IoT system as well. The term project of building an IoT-enabled smartHeating, Ventilation, and Air Conditioning (HVAC) will be introduced. Instructor observationsand anecdotal student feedback on the course design and delivery are presented as well. Lessonslearned will be discussed and modifications are proposed for future improvement.IntroductionThe Internet of things (IoT) technology connects millions and billions of physical objectswith sensors and actuators, processing ability, software and other technologies, to exchange datawith each other over the Internet, resulting
. electricity generation from selected fuels U.S. renewable electricity generation, including end useAEO2022 Reference case AEO2022 Reference casebillion kilowatthours billion kilowatthours 2021 3,000 20216,000 history projections history projections5,000 2,500 34% natural gas solar4,000 2,000 51% wind
Preparing Future Semiconductor Talent in the Global Context: A Comparative Study of the Semiconductor Engineering Curriculum in the U.S. and Taiwan1. IntroductionDue to the exponential surge in global chip demand and strategic initiatives such as the CHIPSand Science Act to bring semiconductor manufacturing back to the United States, the industry isfacing a severe talent shortage. Consulting companies such as Deloitte have also estimated thatby 2030, more than one million additional skilled workers will be needed to meet the globaldemand in this field [1]. Similarly, the joint report released by The Semiconductor IndustryAssociation (SIA) and Oxford Economics, has projected that after the enactment of CHIPS
, Geometric, Pascal, Binomial and Variables (13 Problems) Poisson Random Variables PSS5 Servicing Customers Poisson Random Variable PSS6 Families of Continuous and Discrete Exponential, Poisson, Binomial, Erlang, Random Variables (15 Problems) Gaussian Random VariablesPSS1, PSS3 and PSS5 are long word problems involving real word applications. They used to beassigned as mini-projects for students to complete outside of class [7]. To provide students withimmediate help and increase their in-class engagement, they are adapted into problem solvingsessions.In PSS1, students have the task of helping a manufacturing company choose a better testingstrategy. The current
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
. She has published several papers in top-tier conferences and journals in her field and has presented her research at numerous international conferences. In addition to her research, Dr. Mansouri is passionate about teaching and mentoring the next generation of computer and electrical engineers. She has designed and taught many courses in computer engineering, has supervised several undergraduate and graduate research projects, and served as the thesis advisor to several M.S. and Ph.D. students. Dr. Mansouri was the recipient of the ”Excellence in Graduate Education” from Syracuse University in 2008. In her free time, Dr. Mansouri enjoys exploring nature, photography, and writing short stories. She is also
Paper ID #39262WIP Using Automated Assessments for Accumulating Student Practice,Providing Students with Timely Feedback, and Informing Faculty onStudent PerformanceDr. Brian F. Thomson, Temple University Dr. Brian Thomson is an associate professor of instruction in the department of electrical and computer engineering at Temple University in Philadelphia, PA. During his time at Temple, he taught courses in circuits, circuits lab, control systems while serving as a mentor for senior capstone projects. In 2016, he was selected as the IEEE student chapter professor of the year. He has also graduated from the provost
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
in the Electrical and Computer Engineering Department at Seattle University. She earned her PhD degree from University of Denver specializing in renewable energy and smart grids. Her research focus is on renewable energy integration into smart grids, ensuring efficient energy management and grid stability, aiming for a sustainable impact. She is a member of IEEE, ASEE and SWE and has worked on several NSF and NREL funded projects. ©American Society for Engineering Education, 2024 Teaching Digital Logic in the Quarter-Based EE CurriculumIntroductionCourses on digital logic are an essential part of all Electrical and Computer Engineeringcurricula. With the advent of FPGAs, the use of a
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
has published more than 30 research articles in international journals and conference proceedings. He has led several research projects as a Principal In- vestigator and has been funded by the Office of Undergraduate Research, Office of the Vice President for Research at KSU, and the U.S. Environmental Protection Agency. He has also led multiple projects for the development of open access instructional and learning resources for Engineering Electronics, Circuit Analysis, and Renewable Energy, which have been funded by the Board of Regents, University System of GA. ©American Society for Engineering Education, 2023 Design and Development of a Rooftop Photovoltaics Laboratory
faculty, simple as somemay seem, can have an outsized impact on students’ lifelong success. Table 1. Learning Loss Skill Gaps [3] IMPORTANT FACTORS FOR STUDENT SUCCESSProfessors who made students feel Foster student engagement such as discussion, projects andexcited about learning workplace connectionsProfessors who cared about Demonstrate empathy and compassion rather than rigidstudents as people adherence to classroom policiesA mentor who encouraged students Take a personal interest in students and verbalize belief in theirto pursue their goals and dreams potential to succeedThe opportunity to work on a long- Foster collaboration and
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
cognitive and behavioral responses (working harder,working smarter, learning from failure). Thus, these responses may include combinations ofemotional, cognitive, and behavioral responses. Research on responses to success likewisesuggests positive emotions in response to success on work projects, such as pride, satisfaction,and happiness. In educational contexts, emotional responses to academic work have been foundto be quite similar [1]. We use a portion of the Control-Value Theory of achievement emotionsby Pekrun and colleagues to explain the range of emotions we observed after receiving examscores. Whereas the cognitive and behavioral responses in educational contexts may more likelytake the form of using better or worse study strategies such as
μC or μP from the second phase with a HDL,then program it as it was in the second phase. At last, design a custom-made processor or any FSM witha HDL. The innovative idea of this paper is to develop students with skills that is to utilize a commercialμC or μP to complete application design in the second phase. Furthermore, utilizing a HDL to model thelearned μC or μP so as to shorten the learning curve of designing a custom processor or digitalperipheral circuits in the third phase. The benefit of including the use of a specific μC or μP in the secondphase is to let the students immerse in the delicate design process such as programming in assemblylanguage, so students can accomplish project development in the middle of the program. After
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
Paper ID #44537Comparative Study of Digital Electronics Learning: Using PCB versus TraditionalMethods in an Experiment-Centered Pedagogy (ECP) Approach for EngineeringStudentsMr. Ojonugwa Oluwafemi Ejiga Peter, Morgan State University Ejiga Peter Ojonugwa Oluwafemi, currently thriving as a Graduate Assistant at Morgan State University, Baltimore, is deeply engaged in the innovative ”Experiment Centered Pedagogy Project” within the Department of Engineering. His academic journey began at the Federal University of Technology, Minna, where he earned a Bachelor of Technology in Computer Science, laying a solid foundation for his
; Chris Ferekides Dept. of Electrical Engineering, *Dept. of Psychology, University of South Florida Tampa, Florida, United States Abstract This paper presents the second year results of the work supported by the National Science Foundation’s Revolutionizing Engineering Departments (IUSE/PFE: RED) Program under the project titled "IUSE/PFE:RED: Breaking Boundaries: An Organized Revolution for the Professional Formation of Electrical Engineers." Specifically, this part of the study looks at action-state orientation and its impacts on student success. The first-year results were presented at the 2023 ASEE Conference in Baltimore, MD with the academic paper titled "Predicting Academic Performance for Pre/Post
-based learning as a classroom model for learning.The remainder of this paper is organized as follows: Section 2 provides a brief review ofbadge-based course literature. Section 3 describes the badge-based course in terms of the badges,assessment, and deliverables including the changes we made to the overall structure of the course.Section 4 provides summative results of the course in a longitudinal review over the time it hasbeen run. Section 5 discusses our experience with a badge-based course, and the modifications wehave tried, and Section 6 concludes the paper.2 BackgroundBadge-based learning hinges on ideas of project-based learning [2], experiential learning [3], andformative assessment [4], [5] among others. Since we last reviewed
Computer Engineering, Virginia Polytechnic Institute and State University. She received her B.Eng. and Ph.D in Computer Engineering and Informatics from the Polytechnic School, University of Patras, Greece. She has extensive experience on building data management and database solutions for large-scale systems in collaboration with industrial and governmental agencies, and academic partners. She has published her work in peer-reviewed international conferences and journals. Her current research interests include data management, data valuation and AI and engineering education. Her teaching/mentoring activities focus on developing and offering classes in project-based learning environments as well as, advising and
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
made to be interactive and easy to use, with test points for each signal and power line allowing students to debug their projects via hardware investigation on an oscilloscope or other lab equipment. These laboratory skills are critical for students pursuing an interest in electronics, as computer simulations may not always match real-world hardware behavior, requiring debugging to comprehensively understand the design or system functions. Figure 12a: Altium Designer Schematic for the PCB. Figure 12b: PCBV. Assessment and Conclusion The laboratory setup that was created has been very beneficial for undergraduate engineering students, providing them with improved accessibility and
even though the difference is not very large in terms of weighted average. Therefore, onecan state that the impact of COVID was devastating, however the adaptation to the newerapproach was effective and weathered through pandemic time.This study overall describes experience and experiment to adapt and to perfect for the basiccourse with new resources in the critical period. The results presented in the bar plots showedhow classes survived in the pandemic time, and how the pandemic have impacted students’performance.AcknowledgementThe authors like to thank Center for Academic Excellence, CAI—currently CETL— at SaginawValley State University for supporting the project through DOW Professor Award. They also liketo thank Dr. Erik Trump for
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
Converged Platform Power Thermal Throttling Specification that maximizes re-usability across CPU generations and computing segments. She was the recipient of 20+ Intel Corporation awards for contributions to major product and industry initiatives. She is a member of ASEE.Prof. Branimir Pejcinovic, Portland State University Branimir Pejcinovic received his Ph.D. degree from University of Massachusetts, Amherst. He is a Pro- fessor and former Associate Chair for Undergraduate Education at Portland State University, Electrical and Computer Engineering department. He has led department-wide changes in curriculum with emphasis on the project- and lab-based instruction and learning. He was awarded the best paper award by the ECE
strategies on students’ outcomes. Furthermore, they discovered that theuse of real and virtual experimentation environments is the most engaging learning experiencefor students in learning circuit concepts [9].Reagan et al. (2020) also conducted a systematic review of 30 papers on the best methods forteaching basic circuits. They found that emphasizing students' creation of knowledge, utilizingactive learning strategies as opposed to traditional lectures, and employing project-based learningincreases motivation with differing impacts on learning [10].While the systematic reviews mentioned above provided valuable insights into interventions incircuit education beneficial for undergraduate students, the gaps that were found in them is asfollows: not
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
Electrical and Computer Engineering, Virginia Polytechnic Institute and State University. She received her B.Eng. and Ph.D in Computer Engineering and Informatics from the Polytechnic School, University of Patras, Greece. She has extensive experience on building data management and database solutions for large-scale systems in collaboration with industrial and governmental agencies, and academic partners. She has published her work in peer-reviewed international conferences and journals. Her current research interests include data management, data valuation and AI and engineering education. Her teaching/mentoring activities focus on developing and offering classes in project-based learning environments as well as
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