Teaching and Learning during COVID: Lessons Learned and Future Impacts
- Conference
- Location
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Minneapolis, MN
- Publication Date
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August 23, 2022
- Start Date
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June 26, 2022
- End Date
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June 29, 2022
- Conference Session
- Page Count
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19
- DOI
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10.18260/1-2--40904
- Permanent URL
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https://peer.asee.org/40904
- Download Count
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238
Paper Authors
Asad Azemi University of Wisconsin - Platteville
Asad Azemi is a Professor of Electrical and Computer Engineering and the department chair at the University of Wisconsin-Platteville. He has received his B.S. degree from UCLA, M.S. degree from Loyola Marymount University, and Ph.D. degree from the University of Arkansas. His professional interests are in nonlinear stochastic systems, signal estimation, biocomputing, engineering design and innovation, and the use of computers and related technologies in undergraduate and graduate education to improve and enhance teaching and learning.
Xiaoguang Ma University of Wisconsin - Platteville
Xiaoguang Ma is an Assistant Professor of Electrical and Computer Engineering at the University of Wisconsin-Platteville. He has received his B.S. degree in Physics from Tsinghua University, M.S. degree in Electrical Engineering from the Chinese Academy of Sciences, and his Ph.D. in Electrical Engineering from Florida State University. He worked as a communication architect implementing the industrial network protocols at the R&D dept. in ABB, Inc., Florida. He also led the joint research on TSN networks with Lehigh University including throughput optimization, delay analysis, and cybersecurity. His professional interests include industrial networks and microgrid cybersecurity. He is the inventor of the “Parallel Redundancy Protocol over Wide Area Networks” Patent (US 20170195260 A1 · Issued Aug 2018) and a pending patent “Delay Sensitive Network Estimation System”.
Fang Yang University of Wisconsin - Plattevile
Fang Yang is an Associate Professor in the Electrical and Computer Engineering Department at the University of Wisconsin-Platteville. She received her Ph.D. degree from the Georgia Institute of Technology and worked as a Scientist and Principal Scientist in ABB Inc US Corporate Research Center before joining the University of Wisconsin-Platteville in 2013. Her research interests include distribution system automation and management, bulk power system reliability analysis, and the application of artificial intelligence techniques in power system control.
John Goomey University of Wisconsin - Platteville
John Goomey earned his Master of Science in Electrical Engineering from the University of Wisconsin-Madison and his Bachelor of Science in Electrical Engineering and Bachelor of Science in Physics from the University of Wisconsin-Milwaukee. He is an instructor and the University of Wisconsin-Platteville teaching a variety of courses in analog and digital electronics, with a special interest in semiconductor devices.
David Andersen University of Wisconsin - Platteville
David Andersen is a Laboratory Manager at the University of Wisconsin-Platteville. He received his B.S. degree in Mechanical Engineering from the University of Wisconsin-Platteville. He has gained experience from being an engine mechanic in the U.S. Navy, a journeyman mechanic and supervisor at a nuclear power station, a heavy equipment operator and electrician in the National Guard as well as a manufacturing/design engineer in the laboratory equipment industry. He currently maintains the laboratory equipment and teaches some 1000 level electrical engineering laboratories.
Abstract
The COVID-19 pandemic has forced educational institutions and many industries to move to an online communication model. Educators and students across the world, for the most part, have been working to accommodate socially distanced and virtual schools while addressing the associated fears and concerns. For educational institutions, online synchronous meetings using Zoom or similar software platforms have replaced face-to-face teachings. The approach to handle the teaching disruptions caused by the pandemic is somewhat similar among educational institutions. The disturbance seems to be more manageable for the lecture-based courses than the laboratory classes. This paper presents our teaching approach for electrical engineering courses with and without lab components. Challenges and lessons learned will be presented. We will then compare the students’ learning outcomes evaluations for this period with the prior two years for several of our electrical engineering courses. The data gives us a better look at student achievement and how COVID-19 has affected learning than the students’ teaching evaluations. The data indicate that interventions that will make the courses more interactive will have the highest impact. Finally, we will present our plan for future course delivery based on the lessons learned during COVID.
Azemi, A., & Ma, X., & Yang, F., & Goomey, J., & Andersen, D. (2022, August), Teaching and Learning during COVID: Lessons Learned and Future Impacts Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--40904
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