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Strengthening E-learning strategies for active learning in crisis situations: a mixed-method study in the COVID-19 pandemic
BACKGROUND: Medical universities are responsible for educating and training healthcare workers. One of the fields significantly impacted by the pandemic is medical education. The aim of this study is to identify strategies for enhancing e-learning for active learning and finding solutions for improv...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568816/ https://www.ncbi.nlm.nih.gov/pubmed/37821892 http://dx.doi.org/10.1186/s12909-023-04725-z |
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author | Jahani, Mohammad-Ali Ghanavatizadeh, Aram Delavari, Sahar Abbasi, Mahdi Nikbakht, Hossein-Ali Farhadi, Zeynab Darzi, Alameh Mahmoudi, Ghahraman |
author_facet | Jahani, Mohammad-Ali Ghanavatizadeh, Aram Delavari, Sahar Abbasi, Mahdi Nikbakht, Hossein-Ali Farhadi, Zeynab Darzi, Alameh Mahmoudi, Ghahraman |
author_sort | Jahani, Mohammad-Ali |
collection | PubMed |
description | BACKGROUND: Medical universities are responsible for educating and training healthcare workers. One of the fields significantly impacted by the pandemic is medical education. The aim of this study is to identify strategies for enhancing e-learning for active learning and finding solutions for improving its quality. METHODS: This mixed-method (quantitative-qualitative) research was conducted in 2023 at three selected universities in Mazandaran Province. In the quantitative phase, 507 students participated via stratified random sampling using a standard questionnaire. In the qualitative phase, data were collected through semi-structured interviews with 16 experts until data saturation was achieved. SPSS 21 and MAXQDA 10 software were used for data analysis. RESULTS: In the multivariate regression analysis, an increase of one point in the dimensions of student-teacher interaction, active time, immediate feedback, and active learning corresponded to an average increase in learning scores of 0.11, 0.17, 0.16, and 1.42 respectively (p≤0.001). After the final analysis in the qualitative phase, four main domains (infrastructure, resources, quantity of education, and quality of education) and 16 sub-domains with 84 items were identified. CONCLUSIONS: The greatest challenge in e-learning is the interaction and cooperation between students and teachers. The implementation of the identified strategies in this research could provide useful evidence for policymakers and educational administrators to implement interventions aimed at addressing deficiencies and enhancing e-learning. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12909-023-04725-z. |
format | Online Article Text |
id | pubmed-10568816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105688162023-10-13 Strengthening E-learning strategies for active learning in crisis situations: a mixed-method study in the COVID-19 pandemic Jahani, Mohammad-Ali Ghanavatizadeh, Aram Delavari, Sahar Abbasi, Mahdi Nikbakht, Hossein-Ali Farhadi, Zeynab Darzi, Alameh Mahmoudi, Ghahraman BMC Med Educ Research BACKGROUND: Medical universities are responsible for educating and training healthcare workers. One of the fields significantly impacted by the pandemic is medical education. The aim of this study is to identify strategies for enhancing e-learning for active learning and finding solutions for improving its quality. METHODS: This mixed-method (quantitative-qualitative) research was conducted in 2023 at three selected universities in Mazandaran Province. In the quantitative phase, 507 students participated via stratified random sampling using a standard questionnaire. In the qualitative phase, data were collected through semi-structured interviews with 16 experts until data saturation was achieved. SPSS 21 and MAXQDA 10 software were used for data analysis. RESULTS: In the multivariate regression analysis, an increase of one point in the dimensions of student-teacher interaction, active time, immediate feedback, and active learning corresponded to an average increase in learning scores of 0.11, 0.17, 0.16, and 1.42 respectively (p≤0.001). After the final analysis in the qualitative phase, four main domains (infrastructure, resources, quantity of education, and quality of education) and 16 sub-domains with 84 items were identified. CONCLUSIONS: The greatest challenge in e-learning is the interaction and cooperation between students and teachers. The implementation of the identified strategies in this research could provide useful evidence for policymakers and educational administrators to implement interventions aimed at addressing deficiencies and enhancing e-learning. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12909-023-04725-z. BioMed Central 2023-10-11 /pmc/articles/PMC10568816/ /pubmed/37821892 http://dx.doi.org/10.1186/s12909-023-04725-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Jahani, Mohammad-Ali Ghanavatizadeh, Aram Delavari, Sahar Abbasi, Mahdi Nikbakht, Hossein-Ali Farhadi, Zeynab Darzi, Alameh Mahmoudi, Ghahraman Strengthening E-learning strategies for active learning in crisis situations: a mixed-method study in the COVID-19 pandemic |
title | Strengthening E-learning strategies for active learning in crisis situations: a mixed-method study in the COVID-19 pandemic |
title_full | Strengthening E-learning strategies for active learning in crisis situations: a mixed-method study in the COVID-19 pandemic |
title_fullStr | Strengthening E-learning strategies for active learning in crisis situations: a mixed-method study in the COVID-19 pandemic |
title_full_unstemmed | Strengthening E-learning strategies for active learning in crisis situations: a mixed-method study in the COVID-19 pandemic |
title_short | Strengthening E-learning strategies for active learning in crisis situations: a mixed-method study in the COVID-19 pandemic |
title_sort | strengthening e-learning strategies for active learning in crisis situations: a mixed-method study in the covid-19 pandemic |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10568816/ https://www.ncbi.nlm.nih.gov/pubmed/37821892 http://dx.doi.org/10.1186/s12909-023-04725-z |
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