Paper ID #45406Mini-Laboratory Activities for Observing Electromagnetic Fields in a RequiredUndergraduate Course for Electrical EngineersDr. Gregory J. Mazzaro, The Citadel Dr. Mazzaro earned a Bachelor of Science in Electrical Engineering from Boston University in 2004, a Master of Science from the State University of New York at Binghamton in 2006, and a Ph.D. from North Carolina State University in 2009. From 2009 to 2013, he worked as an Electronics Engineer for the United States Army Research Laboratory in Adelphi, Maryland. For his technical research, Dr. Mazzaro studies the unintended behaviors of radio frequency
Paper ID #45467Development of a software tool to improve educational outcomes in a timeconstant measurement experimentDr. Kenneth Marek, Mercer University ©American Society for Engineering Education, 2025 Development of a software tool to improve educational outcomes in a time constant measurement experimentAbstract:In a junior level mechanical engineering experimental measurements laboratory course, studentsperform an experiment in which they determine time constants of various electronic temperaturesensors, based on a lumped capacitance heat transfer model. In the past, many students havestruggled with the
questions. Therefore, it is desiredto use a low cost open educational resource (OER) that can be adapted to the needs of eachcourse. One such OER is MyOpenMath, a mathematics based online tool that integrates intocommon learning management systems and is free for both faculty and students. In this paperwe discuss how this tool is currently implemented in a senior capstone design course and a unitoperations laboratory in chemical engineering. This presentation includes characteristics ofMyOpenMath, benefits for instructors, available instructor training, and benefits over usingcurrent quizzes in the Canvas LMS. Not limited to chemical engineering courses, MyOpenMathis applicable to any equation based course. This paper focuses on the faculty
in a session where an interactive survey was administered to capture feedback on theeducational areas identified for future projects. Participants were asked to provide their input,suggest additional areas of need, and rank the proposed educational initiatives on a scale from 1to 5, with 1 being the highest priority. Study results indicated that the most critical needidentified by CJC participants was higher education and scholarship training, as well as hands-ontraining of laboratory/field equipment. These findings will guide future MOM Belize programefforts, ensuring that the program continues to meet the needs of CJC and its community.Key Wordsneeds assessment; focus group; service-learning project; international partner
2009 to 2013, he worked as an Electronics Engineer for the United States Army Research Laboratory in Adelphi, Maryland. For his technical research, Dr. Mazzaro studies the unintended behaviors of radio frequency electronics illuminated by electromagnetic waves and he develops radars for the remote detection and characterization of those electronics. In the Fall of 2013, Dr. Mazzaro joined the faculty of the Department of Electrical & Computer Engineering at The Citadel. There, he is the primary instructor for Electromagnetic Fields, Interference Control in Electronics, Antennas & Propagation, and Electrical Laboratory courses. ©American Society for Engineering Education, 2025
developed and taught novel hands-on skill-building courses with a focus on design, manufacturing and clean energy technologies. He was also involved in creating a certificate program in Wind Turbine Technology at FSC and authored a paper on developing wind turbine educational programs on the east coast.Dr. Alireza Dalili, State University of New York, College of Technology at Farmingdale Assistant Professor ©American Society for Engineering Education, 2024 Innovative Work-Holding Tool Designs for Enhanced Safety and Learning in Manufacturing Labs Khosro Shirvani1*, Sean Hardick2, Alireza Dalili3, Robert Syler4AbstractManufacturing processes laboratory
Theory. The modification of the implementation to the highschool students in Outreach program is presented, together with suggestions for improving thefirst assessment. Recruitment for out-of-state high school students via the New York StateExcelsior scholarship pathway and the articulation agreement strategies to facilitate communitycollege students interested in laser driven fusion jobs are discussed.IntroductionNuclear fusion driven energy sources are one of the primary objectives of the US GovernmentDepartment of Energy. Three nuclear fusion development hubs were selected as of December2023, namely, Colorado State University, Lawrence Livermore National Laboratory, and theUniversity of Rochester [1]. About half of a trillion dollars has been
Reasons for being Topics/Skills in Notes differences? different? Common Part 2: Assessment and Pedagogy Our goal is to answer the following questions: (1) To what extent are students in our introductory [discipline] courses exposed to similar assessment types and classroom or laboratory experiences? (2) To what extent are there differences between the introductory [discipline] assessment types and classroom or laboratory experiences at NCC and HU? Why do those differences exist? Table 2: Example table to put on a big sticky to map differences and similarities between assessment types and classroom or
Engineering at VCU. Dr. Pidaparti received his Ph.D. degree in Aeronautics & Astronautics from Purdue University, West Lafayette in 1989. In 2004, he joined the Virginia Commonwealth University as aMr. Jarron Gravesande, Providence Chrisitian Academy Science instructor and accredited research assistant with over 5 years of professional experience in laboratory procedures. ©American Society for Engineering Education, 2025 Create your 3D Eye: A Lesson Module for Grades 6-8 from ImageSTEAM Teacher's WorkshopAbstractThrough an NSF-funded ITEST program, Labeled ImageSTEAM, a summer workshop wasconducted in June 2024 with a diverse group of middle school teachers. The workshop
. Bernard Hunter >> Bernard Hunter is the general lab manager of QCC 3D Printing Laboratories, responsible for additive manufacturing machines such as the Stratsys J750, Fortus 450 , Object 30 and UPRINT Dimitrios Stroumbakis dstechcomm@verizon.netMr. Joseph A Seiter, City University of New York, Queensborough Community College Received my Degree in Mechanical Engineering Technology (AAS) From Queensborough Community College. Graduated in 1976. Worked as a Customer Service Engineer at IBM for 33 years. Also worked part time as a College Laboratory technician for the Engineering Technology Department at QCC since 1992. Hired full time as a CLT for the same department in 2017. ©American
teachingto alternative modes. This change in mode of instruction was not just limited to higher education,but also at elementary schools through K-12. This transition to online course development andteaching without adequate training brought challenges to instructors as well as students (1 – 5).Much of the focus during Covid-19 was to convert in-person lectures to online zoom format(synchronous), since it was much faster to adopt. However, there were many instances, such asfor laboratory classes, zoom format was inadequate. In such situations, the courses were offeredin a hybrid format with limited in-person laboratory sessions. Currently, emergency onlineinstruction is not the norm anymore since the Covid-19 restrictions have eased. While there
at Stony Brook University, MEC 422: Thermal System Design, by incorporatinga new two-week module designed to address the foregoing deficiencies. The module is structured toenhance both theoretical knowledge and practical experience. The lecture component will introducestudents to emerging thermal management technologies: the challenges they present, and modern designmethods. The laboratory component will ask students to use INSTED on the cloud. By bridging the gapbetween theory and practice, the proposed approach aims to better prepare students for the challenges theywill face in the industry.In the following sections, the paper will detail the structure and content of this module, discuss the expectededucational outcomes, and conclude with
from instructors and collaborate with peers, enhancing their overall learningexperience. In environmental engineering, practical skills are crucial. A study [5] showed thatstudents with higher attendance rates performed better in laboratory components of the course,suggesting that attendance facilitated the acquisition of practical skills essential for the field.Several factors can impact attendance rates, including student motivation, course design, andexternal commitments. Studies have shown that flexible course delivery methods, such as hybridmodels, can improve attendance by accommodating diverse student needs [6]. Despite the clearlink between attendance and performance, some studies have faced challenges such as self-reporting bias in
can build innovative and impactful educational programs that betterprepare students for careers in this evolving sector.Literature ReviewThe integration of industry expertise into engineering education, especially in medical devicedesign, is essential for bridging the gap between academic theory and practical applications.When combined with active learning, industry collaboration becomes even more impactful,enabling students to address real-world challenges [3]. Active learning, endorsed byorganizations like SEFI and ABET, enhances student engagement and performance byconnecting theoretical concepts to practical experiences [1][2]. It also improves understanding,retention, and problem-solving skills [3], and when combined with laboratory
encourage student preparation.Course FormatEach course is briefly outlined to provide context for implementing web-based pre-class readingresponses. This approach was trialed across various engineering courses to assess its impact onstudent preparedness and performance.Introduction to Geotechnical Engineering is a three-credit course which is offered in the fallsemester that meets three times a week (50 minutes each). The course focuses on engineering useof soils; laboratory and field determination of soil properties; determination of phaserelationships; engineering soil classification; soil-water interaction; stress effects of loading onsoils at depth; consolidation, compaction, shear strength, bearing capacity theory, and severalspecial
test apparatus for an engineering laboratory course.” Computer Applications in Engineering Education, 2024. DOI: 10.1002/cae.22773 12. M. Chen. “Facilitating aerospace engineering senior design: Integrating lab curriculum redesign with student project and new technologies.” Engineering Reports, 2024. DOI: 10.1002/eng2.12938AcknowledgementsThis material is based in part upon work supported by the National Science Foundation underGrant No. 2152218. Disclaimer: Any opinions, findings, and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect the views of theNational Science Foundation.
impact of flipped classrooms on student achievement in engineering education: A meta-analysis of 10 years of research," Journal of Engineering Education, vol. 108, no. 4, pp. 523-546, 2019.[3] R. Castedo, L. Lopez, M. Chiquito, J. Navarro, J. Cabrera and M. Ortega, "Flipped classroom—comparative case study in engineering higher education," Computer Application in Engineering Education, vol. 27, no. 1, pp. 206-216, 2018.[4] M. Chen, "Synergizing computer‐aided design, commercial software, and cutting‐edge technologies in an innovative nozzle test apparatus for an engineering laboratory course," Computer Applications in Engineering Education, vol. 32, no. 5, p. e22773, 2024.[5] C. Chen, "Flipped classroom with case-based learning
Paper ID #45828Transforming Teaching Evaluations One Department at a TimeDr. Adam Piper, Mississippi State University Dr. Piper serves as a Teaching Professor in Industrial & Systems Engineering at Mississippi State University. He has instructed more than 100 courses and laboratory sections across Industrial & Systems Engineering, Engineering Management, and Biomedical Engineering at four institutions in the Southeastern and Midwestern United States. His primary interest lies in the modeling and enhancement of processes, including those related to the assessment of teaching and learning within the engineering
-phaseAC circuit analysis, AC power and energy calculations, as well as power factor compensationcircuit design.AC circuit analysis is foundational to advanced courses in electrical engineering. For example,designing filters and resonant circuits forms the basis of communication systems. In terms of theelectrical grid, three-phase AC circuit analysis and power calculations are essential forunderstanding energy distribution. Additionally, the ability to calculate three-phase AC powerand energy and design power factor compensation circuits lays the groundwork for future powersystem courses. MATLAB is used extensively throughout the course for solving circuit analysisproblems.Although the course lacks a formal laboratory component, simulations of
: • Industry Collaboration: We collaborate with local industries to develop project briefs that reflect actual challenges these companies are facing. This direct engagement allows students to work on relevant problems that professionals in the field are currently trying to solve. • Use of Industry-Standard Tools and Techniques: Students employ tools and techniques that are industry-standard, including CAD software, simulation programs, and industrial-grade laboratory equipment. This practice not only equips them with essential practical skills but also ensures they are ready for the workplace upon graduation. • Outcome-Oriented Projects: Each project is designed with a tangible outcome in mind, such as
resources fortransference learning.in Figure 2, user inputs—typed questions or spoken prompts—are processed locally for immediate,low-latency tasks, while more computationally demanding queries (such as generating a simula-tion of prior robot experiences from another laboratory) are offloaded to cloud-based AI modules.This topology ensures a responsive user experience that still retains access to advanced analyt-ics and broader knowledge repositories. The pilot setup featured short activity blocks in which ahuman user interacted with the system to solve engineering tasks. Learners could request demon-strations of a robotic arm movement, followed by AI-generated textual or spoken explanationsof the underlying principles in a classroom setting. At
Control design review 18 Angular velocity controller design for UAV 19 Attitude/Altitude controller design for UAV 20 Translational position controller design for UAV 21 UAV sensors and their mathematical models 22-23-24 Vehicle installation and instructionsApplicationAccording to The National Research Council’s definition of learning in a laboratory [17], physicalsimulations or applications of the theory generates many opportunities for the students to gainfield experience, using various tools and equipment, conducting experiments under differentconditions, acquiring data, analyzing and presenting the results [17].During the application phase of this course, a
Engineering. His research uses body-worn sensor networks to better quantify and understand human performance in many biomechanical contexts, outside of traditional laboratory environments.Dr. Lorna Cintron-Gonzalez, Francis Marion University Dr. Cintron-Gonzalez is an Associate Professor of Industrial Engineering at Francis Marion University in Florence, SC. Dr. Cintron-Gonzalez earned a BS degree in Industrial Engineering from the University of Puerto Rico at Mayag¨uez in 2005, a MS degree in Health Systems from Georgia Tech in 2006, and a PhD in Industrial Engineering from Penn State University in 2013. Her research interests include engineering education, workplace human factors and ergonomics, health systems
.[2] M. Evrat and R. Sharma, “Laboratory Modules For Wind Turbine Experiments Using theWindLab Facility At The University of Queensland”, School of Information Technology andElectrical Engineering, Power and Energy System, The University of Queensland, St. Lucia,QLD, 2015.[3] Ansys® Fluent with Fluent Meshing, Release R2, ANSYS, Inc., 2024.
the student body is receiving an education that approaches critical thinking in aholistic manner (e.g., formulating problems, working in a laboratory setting, mastery ofgraphical/written/verbal communication). Institutions collect a series of assessments targetingthese individual student outcomes (SOs) with the goal of determining how well the student bodycan achieve the goals prescribed by ABET. This process provides a thorough overview ofstudent attainment in the SOs from the perspective of the institution and its individual faculty,but it lacks any substantive measure of student self-efficacy.Self-efficacy is a term used to describe how well an individual believes they can accomplish atask [1]. Self-efficacy in a higher learning setting
manufacturer of the solar farm kit provided updated materials for assemblyand tests that enabled students who did not do the inventr.io courses to be successful in theconstruction of the physical system model. In the next iteration, the inventr.io courses will beomitted. Based on feedback, more time will be spent on communication between the twins andsample code for both serial and WiFi communications will be included. Additionally, time willbe spent in the process of data capture and analysis for predictive modeling with the DT.Given the concern that a remote education is missing a critical hands-on component, this courseclearly demonstrated that a hands-on laboratory experience can successfully be a part of a remoteclassroom. If this course were
slope, reflecting lowest variation. This isconsistent with the smaller error bars seen in Figure 9, suggesting that the 0° print orientationproduces more predictable and consistent failure results. In contrast, the shallow slopes observedfor the 45° and 90° print orientations indicate greater variability in the failure loads for theseorientations, making them less predictable under applied tensile load.Based on this log-normal statistical analysis, it is crucial to note the important implication inlarge-scale manufacturing using 3D-printing. Although the sample size in a laboratory settingcan be very limited, typically about 20 in our case, the strength at very low percentile (such as inthe parts-per-million, or ppm, level) can be projected
test apparatus for an engineering laboratory course," Computer Applications in Engineering Education, 2024.[18] T. M. Carrigan and B. A. Brooks, "Q: How Will We Achieve 20% by 2020? A: Men in Nursing," Nurse Leader, pp. 115-119, 2016.
Electrical and Computer Engineering. She has worked for companies such the Air Force Research Laboratory in conjunction with Oak Ridge National Labs and as an R & D Intern for Sandia National Labs conducting Natural Language Processing and AI research and was inducted into the Bagley College of Engineering Hall of Fame in 2021.Alexis P. Nordin, Mississippi State University Alexis Nordin is currently an Instructor II in the Shackouls Technical Communication Program in Mississippi State University’s James Worth Bagley College of Engineering. She has taught technical writing and various other writing- and communication-based courses at MSU since 2004. She holds bachelor’s and master’s degrees in English from Mississippi
://blogs.mathworks.com/community/2023/11/07/the-matlab-ai-chat-playground-has-launched/. [Accessed November 12, 2024].[9] E. Robledo, “Powering Your Products: Autodesk Fusion 360 Electronics Highlights YouDon’t Want to Miss,” Autodesk, September 7, 2023. [Online] Available:https://www.autodesk.com/products/fusion-360/blog/autodesk-fusion-360-electronics-highlights/. [Accessed November 12, 2024].[10] J. Wendel, “ChatGrid™: A New Generative AI Tool for Power Grid Visualization,” PacificNorthwest National Laboratory, February 22, 2024. [Online] Available:https://www.pnnl.gov/news-media/chatgridtm-new-generative-ai-tool-power-grid-visualization.[Accessed November 12, 2024].[11] Y. Wang, M. Wang, M. A. Manzoor, F. Liu, G. Georgiev, R. J. Das, and P. Nakov