Paper ID #43011WIP: The Impact of Formative Assessment on Students’ Attitude, AnticipatedAcademic Performance, and Design Skills: Insights from Three Design-OrientedElectrical Engineering CoursesDr. Muhammad S Zilany, Texas A&M University at Qatar Dr. Muhammad Zilany earned his Ph.D. in Electrical and Computer Engineering from McMaster University, Ontario, Canada, in 2007. He held academic positions at the University of Malaya and the University of Hail before joining the Electrical and Computer Engineering Program at Texas A&M University at Qatar in 2019. His research focuses on signal processing in the auditory system
Paper ID #42249Board 97: Work-in-Progress: TextCraft: Automated Resource Recommendationfor Custom Textbook CreationXinyuan Fan, University of Toronto Xinyuan (Elva) Fan is currently pursuing a Master’s degree in Electrical & Computer Engineering at the University of Toronto, following her Honours Bachelor in Computer Science from the University of Waterloo. At the University of Toronto, she worked on a research project focusing on web crawler-driven automated textbook creation. She can be reached at elva.fan@mail.utoronto.ca or elvafan625@gmail.com.Dr. Hamid S Timorabadi P.Eng., University of Toronto Hamid Timorabadi
Image Processing and Video Prediction, Neuromorphic Computing Systems and its applications. and Innovation in Engineering Education.Dr. Ahmed Dallal, University of Pittsburgh Dr. Dallal is an assistant professor at the department of electrical and computer engineering, Unversity of Pittsburgh, since August 2017. Dr. Dallal’s primary focus is on education development and innovation. His research interests include biomedical signal processing, biomedical image analysis, and computer vision, as well as machine learning, networked control systems, and human-machine learning.Mr. Mohamed A. S. Zaghloul, Mohamed A. S. Zaghloul was born in Cairo, Egypt, in 1987. He received his B.E. degree in Electronics and Electrical
, and early childhood educa- tion which have been published in scholarly and practitioner journals, including Teachers College Record, Early Child Development and Care, Journal of Educational Research, Young Children, and Teaching Chil- dren Mathematics. At Magnolia Consulting, Dr. Banse leads a portfolio of studies in STEM, early childhood, and prek-20 education products and tools. She is a methodological expert in multiple regression, logistic regression, multilevel modeling, and structural equation modeling, as well as in mixed-method study designs. She also oversees Magnolia’s internship program for BIPOC researchers and evaluators.Dr. Chris S Ferekides, University of South FloridaDr. Carol Haden, Northern
Paper ID #37239Predicting Academic Performance for Pre/Post-Intervention onAction-State Orientation SurveysProf. Ismail Uysal, University of South Florida Dr. Ismail Uysal has a Ph.D. in Electrical and Computer Engineering from the University of Florida. He is an Associate Professor and the Undergraduate Director at the University of South Florida’s Electrical En- gineering Department. His research focuses on theory and applications of machine learning and machine intelligence for sensor applications.Paul E. SpectorDr. Chris S. Ferekides, University of South FloridaMehmet Bugrahan AyanogluRania Elashmawy, University of South
received the Dean’s Achievement Award to recognize his contribution to the Texas A&M-Qatar campus in 2021. He also received the Texas A&M University-STAR Award in 2013 and 2016.Dr. Muhammad S. Zilany, Texas A&M University at Qatar Dr. Muhammad Zilany earned his Ph.D. in Electrical and Computer Engineering from McMaster University, Ontario, Canada, in 2007. He held academic positions at the University of Malaya and the University of Hail before joining the Electrical and Computer Engineering Program at Texas A&M University at Qatar in 2019. His research focuses on signal processing in the auditory system employing a comprehensive approach that integrates computational modeling, physiological recordings
professor (lecturer) in the electrical and computer engineering department at the University of Utah. She completed a PhD focused on engineering education at Stanford University in 2021.Daniel S. Drew, University of UtahJacob A. George, University of Utah ©American Society for Engineering Education, 2024 MATLAB Tool Allowing Wireless Control of Arduino Robot for Early Introduction of Robotics into Curriculum Connor D. Olsen, Amy V. Verkler, Daniel S. Drew, Jacob A. GeorgeAbstractIn modern Electrical Engineering degree programs, MATLAB is often one of the first codingexperiences a student is exposed to. Most introductory robotics courses that combine hardwareand software
Paper ID #39414Power Engineering Curriculum Update with Situative Pedagogy and ConceptMaps as Evaluation ToolDr. Valentina Cecchi, University of North Carolina at Charlotte Valentina Cecchi is an Associate Professor and the Graduate Program Director in the Electrical and Com- puter Engineering Department at the University of North Carolina Charlotte. She received her PhD in electrical engineering from Drexel University in 2010.Dr. Courtney S Smith-Orr, University of North Carolina at Charlotte Courtney S. Smith,PhD is a Teaching Assistant Professor at UNC Charlotte. Her research interests span the mentoring experiences of
Paper ID #39059Take responsibility to understand engineering (TRUE): A qualitativeinvestigation of student’s engineering self-efficacy as a result ofparticipation in a multi-stakeholder programDr. Dhinesh Balaji Radhakrishnan, Purdue University at West Lafayette (COE)Dr. Wilfrido A. MorenoProf. Jennifer Deboer, Campbell University Jennifer DeBoer is currently Assistant Professor of Engineering Education at Purdue University. Her research focuses on international education systems, individual and social development, technology use and STEM learning, and educational environments forDr. Chris S. Ferekides, University of South Florida
of South FloridaDr. Rania Sherif Elashmawy, University of South Florida Dr. Rania Elashmawy has a Ph. D in Electrical Engineering from the University of South Florida, USA. Her research interests include smart agriculture, precision agriculture, and time-series data.Rifatul Islam, University of South FloridaPaul E. Spector, University of South FloridaDr. Chris S. Ferekides, University of South Florida ©American Society for Engineering Education, 2024 Tracking and predicting student performance across different semesters with matched action-state orientation surveys and interventions Ismail Uysal, Mehmet Ayanoglu, Rania Elashmawy, Rifatul Islam, Paul Spector* &
locations. The centralized platform will capture multimedia data (audio, video, text)from the two locations listed above for display and analysis on monitor(s) in the chosen locationand will be used to store the data at regular intervals such as hourly, daily, and weekly recordsfor future retrieval and analysis.Product RequirementsThe product requirements are: 1) Primary or main display monitor setup to provide (a) the overview of each remote location (b) key real-time multimedia data captured. 2) Secondary display of room-level, workbench-level, device-level status from each remote location. 3) Controls to navigate across primary and secondary displays at different visual resolutions/zoom features
Program”, Proceedings of the2020 American Society for Engineering Education conference and exposition, 2020.[3] Hawkins, N., Lewis, J., Robinson, B., and Foreman, J., “Computational Instruction through PLCs in a Multi-Disciplinary Introduction to Engineering Course”, Proceedings of the 2019 American Society for EngineeringEducation conference and exposition, 2019.[4] Otieno, A., and Mirman, C., “A Laboratory Based Programming Logic Controller (PLC) Course for aManufacturing Curriculum”, Proceedings of the 2003 American Society for Engineering Education conference andexposition, 2003.[5] Jack, H., and Rowe, S., “Teaching Industrial Control with Open-Source Software”, Proceedings of the 2023American Society for Engineering Education conference and
Sacramento State and by an NSF grant (DUE # 2235774).References [1] C. L. Dym, A. M. Agogino, O. Eris, D. D. Frey, and L. J. Leifer, “Engineering design thinking, teaching, and learning”, J. Eng. Educ., vol. 94, no. 1, pp. 103–120, Jan. 2005. [2] S. Rodenbusch, et al. “Early engagement in course-based research increases graduation rates and completion of science, engineering, and mathematics degrees,” CBE life sciences education, vol. 15, 2016, doi:10.1187/cbe.16-03-0117. [3] C. D. Wilson, J. A. Taylor, S. M. Kowalski, and J. Carlson, “The relative effects and equity of inquiry-based and commonplace science teaching on students’ knowledge, reasoning, and argumentation,” J. Res. Sci. Teach., 2009. [4] C. Katie, M. Blum Michelle, M. Julie, and S.-C. C
intervention. By leveraging these findings, educators, policymakers, and industrystakeholders can work collaboratively to strengthen the talent pipeline and drive innovation inthe semiconductor sector.References[1] A. Deichler, “Help Wanted: Manufacturing Sector Struggles to Fill Jobs,” SHRM, Jun. 2021,accessed: 2023-7-6. [Online]. Available: https://www.shrm.org/topics-tools/news/talent-acquisition/help-wanted-manufacturing-sector-struggles-to-fill-jobs[2] S. Alam, “Addressing the talent gap,” Accenture, Feb. 2023, accessed: 2023-6-30. [Online].Available: https://www.accenture.com/us-en/insightsnew/high-tech/semi-talent-shortage[3] C. Richard, K. Ramachandran, and I. Pandoy, Deloitte, “Looming Talent Gap ChallengesSemiconductor Industry,” Semi.org
(KPIn ) we used in this effort are listed below and we developedfunctions to drive our algorithms in our custom database dashboard. 1. 100% 1st article 2. Inventory each kit 3. On-Time Delivery 4. Percentage of revenueIn equation 1, KPI1 is defined as how much time (T ) it takes to get a final working product that istested. For example, we can compute the time between dates such as physical work start (P W S)date, material procurement dates, 1st article test (1AT ) dates, and final article test dates. KP I1 = TP W S − T1AT . (1)In equation 2, KPI2 is defined as how long it takes to inventory each kit. For example, we candetermine the function by comparing timestamps
StudiesOur main objective was to find the interventions in circuits education and how they influencedundergraduate students in circuits courses, extracted information could be beneficial to determinewhich papers could be included in the study and which were not relevant or did not offer anyinterventions to students. The information was gathered from reading the title of the paper, theabstract, and the content with a particular focus on methods, discussions, and conclusions of thestudies. In summary, our closed coding scheme was as follows: author(s) and publication year,whether they were used before, during, or after COVID-19, intervention category, interventionsub-category, teaching mode, duration of intervention, and research method. We also
)References 1. Connor K, Kelly J, Scott C, Chouikha M, Newman D, Gullie K, Ndoye M, Dabipi I, Graves C, Zhang L, Osareh A, Albin S, Geddis D, Andrei P, Lacy F, Majlesein H, Eldek A, Attia J, Astatke Y, Yang S, Jiang L, Oni B, Zein-Sabatto S “Experiment Centric Pedagogy – Improving the HBCU Engineering Student Learning Experience,” ASEE Annual Conference, Salt Lake City, June 2018, USA. 2. Connor K, Scott C, Korte R, Sullivan B, Velez-Reyes M “Mini-Workshop Series for Minority Serving Institutions with ECE Programs,” ASEE Virtual Conference 2021 3. Connor K, Scott C, Chouikha M, Leigh-Mack P, Sullivan B, Kelly J, Goodnick S, Smith M, Klein M, Abraham S, Oni B, Ososanya E, Eldek A, Yang S, Erives H, Joslyn C
more raw data than can be communicated throughlow-power radios; these systems, such as acoustic recorders, may filter, downsample, computefrequency spectra, etc., to reduce the volume of data to be transmitted down to its most salient.The growing popularity of machine learning suitable for edge computing, such as TinyML [5], isalso responsible for some modest computation resident on the wireless sensor node.Applications such as environmental sensing need only sample a single sensor at periods on theorder of hours and report that information to a base station. For wireless sensor systemsrecording environmental analytes, computation here is limited to housekeeping: scheduling andcontrol of sensor(s), temporary local storage, and management of
know and do,” Phi Delta Kappan, vol. 89, no. 2, pp. 140–145, 2007. [6] S. Abramovich, C. Schunn, and R. M. Higashi, “Are badges useful in education?: it depends upon the type of badge and expertise of learner,” Educational Technology Research and Development, vol. 61, pp. 217–232, 2013. [7] F. Khaddage, R. Baker, and G. Knezek, “If not now! when? a mobile badge reward system for k-12 teachers,” in Society for Information Technology & Teacher Education International Conference, vol. 2012, no. 1, 2012, pp. 2900–2905. [Online]. Available: http://www.editlib.org/p/40029 [8] J. L. Santos, S. Charleer, G. Parra, J. Klerkx, E. Duval, and K. Verbert, “Evaluating the use of open badges in an open learning environment,” in
ing ) in s rit ) ) io nt C tics g el ML rn se s ra uc s C Ro tro n (G cu (G (G m re of rit te r- tic og Str istic En en in et cu to on
graph-based cell structure and path safety margins. They are required to record the efficiency of the paths generated through these structures and discuss their observations; then, they must plot and compare the generated paths and the shortest possible paths derived from these graph structures. Graph-based Method S Edges Starting Point Obstacle Obstacle Nodes Target
solving sessions to engage students in a highly theoretical Random SignalAnalysis course.Research has shown that when students are in constructive and interactive modes of engagement,they gain deeper understanding of knowledge. To help students learn better, six interactive andactive problem solving sessions are incorporated in the Random Signal Analysis course. In eachproblem solving session, students are presented with one or multiple non-trivial problem(s).They work in teams of two while interacting with a table of eight students. While students areengaging with problem solving, the instructor and teaching assistants walk around the classroomanswering questions and giving feedback.At the end of each problem solving session, students complete a
textbooks, and studying the effectiveness of online textbooks in engineering courses.Dr. Gregory Mason P.E., zyBooks, A Wiley Brand Gregory S. Mason received the B.S.M.E. degree from Gonzaga University in 1983, the M.S.M.E. degree in manufacturing automation from Georgia Institute of Technology in 1984 and the Ph.D. degree in mechanical engineering, specializing in multi-rate digitalMs. Linda Ratts, WileyMr. Bryan Gambrel, WileyDr. Adrian Rodriguez, zyBooks, A Wiley Brand Adrian Rodriguez is an Engineering Content Developer for zyBooks, a Wiley brand and a Lecturer in Mechanical Engineering at The University of Texas at Austin. His research interests include engineering education, multibody dynamics, contact and impact
teaching team to incorporate accessibility practices for Kulkarni’s course experience. Course and teaching assistant(s) Undergraduate and master’s students who are responsible for running office hours and leading lab sessions, among other tasks. They explored accessible learning methods with Kulkarni. Disability services officer (DSO) The accessibility manager at the disability services office at our academic institution. She created accessible, tactile diagrams for Kulkarni’s course material and coordinated
(2)where V is the potential difference across the resistor, I represents the applied current through theresistor, and R is the resistance of the resistor. Students were provided with device that includedthe ADALM 1000, breadboard, Alice software, resistor ratings of 300, 470, 680, and 120 W, aswell as connecting wires. The procedure was demonstrated by the instructor, and the studentsfollowed suit. Prior to the class, Alice software was installed on all of the computers. Differentresistor ratings were placed on the breadboard, and the ADALM 1000's channel A (CHA) andground (GND) were connected to both ends of the resistor using the breadboard and jumper wiresprovided. The ADALM 1000 device was connected to the computer via a USB cable. This
circuit that efficiently steps down a DC voltage to a new level. The basic principles discussedapply to other types of PWM converters. The buck chopper circuit is illustrated in Fig. 1. The circuit is controlled by cyclicallyopening and closing switch S. This periodic rate is called the switching frequency and drives the sizing of the circuit inductanceand capacitance. When the PWM signal is high, the switch S is closed. When the PWM signal is low, switch S is open anddiode D conducts. The amount of time that S is closed divided by the switching period is called the duty cycle. For an idealbuck chopper operating in continuous conduction mode (inductor current always positive), the output voltage is approximatelyequal to the duty cycle times the
traditional linear regression and thus necessitatesa regression method that accounts for clustering within a sample. ICC values can range from 0 to1, with higher values indicating stronger intergroup correlations and indicating the need forHierarchical Linear Modeling (HLM) methods. While the interpretation of ICC depends on thecontext of the study and the research question being addressed, ICC values greater than 0.1generally indicate that there is a significant amount of clustering in the data and that HLM maybe appropriate [40]. It is also important to note that the interpretation of ICC values should bedone in conjunction with other information about the study, such as the sample size andcharacteristics, the instrument(s) used, and the research
The steady magnetic field Magnetic forces, materials, and inductance (S parameter) Time-varying fields and Maxwell’s equationsIn response to the challenge of maintaining continuity between the electromagnetics course andits related prerequisite mathematics courses, LeTourneau University ECE department decided tomove the electromagnetics course from the senior to the junior year, advancing it by one yearstarting from the Fall of 2023. By running the course in a setting where both juniors and seniorstake it together, the authors have a unique opportunity to compare their achievements andanalyze any correlations between their performance