Using a Novel Research Methodology to Study and Respond to Faculty and Student Experiences with COVID-19 in Real Time Article Swipe

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Coronavirus disease 2019 (COVID-19) Medical education Data collection 2019-20 coronavirus outbreak Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Online learning Higher education Qualitative research Psychology Faculty development Qualitative property Engineering education Mathematics education Computer science Professional development Medicine Multimedia Engineering Sociology Engineering management Political science Outbreak Infectious disease (medical specialty) Pathology Disease Law Social science Machine learning Virology

John Morelock , Nicola Sochacka , Racheida Lewis , Joachim Walther , Christian M. Culloty , Jacob S. Hopkins , Shweta Vedanarayanan , Chukwuemeka K. Ofunne ·

YOU? · · 2020 · Open Access · · OA: W3170190992

This paper describes the use of a novel research platform called SenseMaker® to collect and analyze real-time data in the form of participants’ qualitative accounts of COVID-19 along with online learning experiences and participants’ own quantitative assessments of those experiences. Participants were faculty, students, and staff in the College of Engineering at the University of Georgia during Spring 2020. Results from two waves of data collection informed real-time recommendations to College faculty and administration to address COVID-19-related challenges. Results also facilitated faculty development programming to build instructor communities of learning and support in response to the University’s transition to online learning. © 2020