Impact of the COVID-19 Pandemic on the Academic Community Results from a survey conducted at University of Massachusetts Amherst
| Autor: | Ali Sarvghad, Narges Mahyar, Tamanna Motahar, Madalina Fiterau, Iman Deznabi |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Medical education
Data collection Public Administration Coronavirus disease 2019 (COVID-19) biology Computer Networks and Communications Face (sociological concept) Computer Science Applications 03 medical and health sciences 0302 clinical medicine Conditional logic Toll Pandemic biology.protein Academic community 030212 general & internal medicine Psychology Productivity 030217 neurology & neurosurgery Software Information Systems |
| Zdroj: | Digital Government: Research and Practice. 2:1-12 |
| ISSN: | 2639-0175 2691-199X |
| DOI: | 10.1145/3436731 |
| Popis: | The COVID-19 pandemic has significantly impacted academic life in the United States and beyond. To gain a better understanding of its impact on the academic community, we conducted a large-scale survey at the University of Massachusetts Amherst. We collected multifaceted data from students, staff, and faculty on several aspects of their lives, such as mental and physical health, productivity, and finances. All our respondents expressed mental and physical issues and concerns, such as increased stress and depression levels. Financial difficulties seem to have the most considerable toll on staff and undergraduate students, while productivity challenges were mostly expressed by faculty and graduate students. As universities face many important decisions with respect to mitigating the effects of this pandemic, we present our findings with the intent of shedding light on the challenges faced by various academic groups in the face of the pandemic, calling attention to the differences between groups. We also contribute a discussion highlighting how the results translate to policies for the effective and timely support of the categories of respondents who need them most. Finally, the survey itself, which includes conditional logic allowing for personalized questions, serves as a template for further data collection, facilitating a comparison of the impact on campuses across the United States. |
| Databáze: | OpenAIRE |
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