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Student input on the effectiveness of the shift to emergency remote teaching due to the COVID crisis: Structural equation modeling creates a more complete picture
A study was conducted to assess student reaction to the shift to Emergency Remote Teaching (ERT) due to the COVID crisis in March of 2020. Four hundred students were randomly selected from a small private university database in central Alberta, Canada. A 65.5% response rate resulted in a final N of...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Published by Elsevier Ltd.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905384/ https://www.ncbi.nlm.nih.gov/pubmed/35059665 http://dx.doi.org/10.1016/j.ijedro.2021.100036 |
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author | Buttler, Tim George, Darren Bruggemann, Kira |
author_facet | Buttler, Tim George, Darren Bruggemann, Kira |
author_sort | Buttler, Tim |
collection | PubMed |
description | A study was conducted to assess student reaction to the shift to Emergency Remote Teaching (ERT) due to the COVID crisis in March of 2020. Four hundred students were randomly selected from a small private university database in central Alberta, Canada. A 65.5% response rate resulted in a final N of 262. These students responded to a 32-item questionnaire that assessed a number of factors that impacted four criterion variables: professor performance, quality of learning, affect on the final grade, and likelihood of returning in the Fall if their university was online. Results showed that the greatest predictors of the criterion variables were: professor support, professor caring, satisfaction with the final exam format, a relaxed schedule, quality of presentation, emotional response, adequate technological resources, and student input. Structural equation modeling creates a model that sorts out the relative impact of predictors on each criterion variable. |
format | Online Article Text |
id | pubmed-7905384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79053842021-02-25 Student input on the effectiveness of the shift to emergency remote teaching due to the COVID crisis: Structural equation modeling creates a more complete picture Buttler, Tim George, Darren Bruggemann, Kira Int J Educ Res Open Article A study was conducted to assess student reaction to the shift to Emergency Remote Teaching (ERT) due to the COVID crisis in March of 2020. Four hundred students were randomly selected from a small private university database in central Alberta, Canada. A 65.5% response rate resulted in a final N of 262. These students responded to a 32-item questionnaire that assessed a number of factors that impacted four criterion variables: professor performance, quality of learning, affect on the final grade, and likelihood of returning in the Fall if their university was online. Results showed that the greatest predictors of the criterion variables were: professor support, professor caring, satisfaction with the final exam format, a relaxed schedule, quality of presentation, emotional response, adequate technological resources, and student input. Structural equation modeling creates a model that sorts out the relative impact of predictors on each criterion variable. Published by Elsevier Ltd. 2021 2021-02-25 /pmc/articles/PMC7905384/ /pubmed/35059665 http://dx.doi.org/10.1016/j.ijedro.2021.100036 Text en © 2021 Published by Elsevier Ltd. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Buttler, Tim George, Darren Bruggemann, Kira Student input on the effectiveness of the shift to emergency remote teaching due to the COVID crisis: Structural equation modeling creates a more complete picture |
title | Student input on the effectiveness of the shift to emergency remote teaching due to the COVID crisis: Structural equation modeling creates a more complete picture |
title_full | Student input on the effectiveness of the shift to emergency remote teaching due to the COVID crisis: Structural equation modeling creates a more complete picture |
title_fullStr | Student input on the effectiveness of the shift to emergency remote teaching due to the COVID crisis: Structural equation modeling creates a more complete picture |
title_full_unstemmed | Student input on the effectiveness of the shift to emergency remote teaching due to the COVID crisis: Structural equation modeling creates a more complete picture |
title_short | Student input on the effectiveness of the shift to emergency remote teaching due to the COVID crisis: Structural equation modeling creates a more complete picture |
title_sort | student input on the effectiveness of the shift to emergency remote teaching due to the covid crisis: structural equation modeling creates a more complete picture |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7905384/ https://www.ncbi.nlm.nih.gov/pubmed/35059665 http://dx.doi.org/10.1016/j.ijedro.2021.100036 |
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