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RE-AIMing COVID-19 online learning for medical students: a massive open online course evaluation

BACKGROUND: Clinical training during the COVID-19 pandemic is high risk for medical students. Medical schools in low- and middle-income countries (LMIC) have limited capacity to develop resources in the face of rapidly developing health emergencies. Here, a free Massive Open Online Course (MOOC) was...

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Autores principales: Yilmaz, Yusuf, Sarikaya, Ozlem, Senol, Yesim, Baykan, Zeynep, Karaca, Ozan, Demiral Yilmaz, Nilufer, Altintas, Levent, Onan, Arif, Sayek, İskender
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154107/
https://www.ncbi.nlm.nih.gov/pubmed/34039344
http://dx.doi.org/10.1186/s12909-021-02751-3
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author Yilmaz, Yusuf
Sarikaya, Ozlem
Senol, Yesim
Baykan, Zeynep
Karaca, Ozan
Demiral Yilmaz, Nilufer
Altintas, Levent
Onan, Arif
Sayek, İskender
author_facet Yilmaz, Yusuf
Sarikaya, Ozlem
Senol, Yesim
Baykan, Zeynep
Karaca, Ozan
Demiral Yilmaz, Nilufer
Altintas, Levent
Onan, Arif
Sayek, İskender
author_sort Yilmaz, Yusuf
collection PubMed
description BACKGROUND: Clinical training during the COVID-19 pandemic is high risk for medical students. Medical schools in low- and middle-income countries (LMIC) have limited capacity to develop resources in the face of rapidly developing health emergencies. Here, a free Massive Open Online Course (MOOC) was developed as a COVID-19 resource for medical students working in these settings, and its effectiveness was evaluated. METHODS: The RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework was utilized to evaluate the effectiveness of MOOC in teaching medical students about COVID-19. The data sources included the student registration forms, metrics quantifying their interactions within the modules, students’ course feedback, and free-text responses. The data were collected from the Moodle learning management system and Google analytics from May 9 to September 15, 2020. The research team analyzed the quantitative data descriptively and the qualitative data thematically. RESULTS: Among the 16,237 unique visitors who accessed the course, only 6031 medical students from 71 medical schools registered, and about 4993 (83% of registrants) completed the course, indicating high levels of satisfaction (M = 8.17, SD = 1.49) on a 10-point scale. The mean scores of each assessment modules were > 90%. The free-text responses from 987 unique students revealed a total of 17 themes (e.g., knowing the general information on COVID-19, process management of the pandemic in public health, online platform use, and instructional design) across the elements of the RE-AIM framework. Mainly, the students characterized the MOOC as well-organized and effective. CONCLUSIONS: Medical students learned about COVID-19 using a self-paced and unmonitored MOOC. MOOCs could play a vital role in the dissemination of accurate information to medical students in LMIC in future public health emergencies. The students were interested in using similar MOOCs in the future. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12909-021-02751-3.
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spelling pubmed-81541072021-05-28 RE-AIMing COVID-19 online learning for medical students: a massive open online course evaluation Yilmaz, Yusuf Sarikaya, Ozlem Senol, Yesim Baykan, Zeynep Karaca, Ozan Demiral Yilmaz, Nilufer Altintas, Levent Onan, Arif Sayek, İskender BMC Med Educ Research BACKGROUND: Clinical training during the COVID-19 pandemic is high risk for medical students. Medical schools in low- and middle-income countries (LMIC) have limited capacity to develop resources in the face of rapidly developing health emergencies. Here, a free Massive Open Online Course (MOOC) was developed as a COVID-19 resource for medical students working in these settings, and its effectiveness was evaluated. METHODS: The RE-AIM (reach, effectiveness, adoption, implementation, and maintenance) framework was utilized to evaluate the effectiveness of MOOC in teaching medical students about COVID-19. The data sources included the student registration forms, metrics quantifying their interactions within the modules, students’ course feedback, and free-text responses. The data were collected from the Moodle learning management system and Google analytics from May 9 to September 15, 2020. The research team analyzed the quantitative data descriptively and the qualitative data thematically. RESULTS: Among the 16,237 unique visitors who accessed the course, only 6031 medical students from 71 medical schools registered, and about 4993 (83% of registrants) completed the course, indicating high levels of satisfaction (M = 8.17, SD = 1.49) on a 10-point scale. The mean scores of each assessment modules were > 90%. The free-text responses from 987 unique students revealed a total of 17 themes (e.g., knowing the general information on COVID-19, process management of the pandemic in public health, online platform use, and instructional design) across the elements of the RE-AIM framework. Mainly, the students characterized the MOOC as well-organized and effective. CONCLUSIONS: Medical students learned about COVID-19 using a self-paced and unmonitored MOOC. MOOCs could play a vital role in the dissemination of accurate information to medical students in LMIC in future public health emergencies. The students were interested in using similar MOOCs in the future. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12909-021-02751-3. BioMed Central 2021-05-27 /pmc/articles/PMC8154107/ /pubmed/34039344 http://dx.doi.org/10.1186/s12909-021-02751-3 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Yilmaz, Yusuf
Sarikaya, Ozlem
Senol, Yesim
Baykan, Zeynep
Karaca, Ozan
Demiral Yilmaz, Nilufer
Altintas, Levent
Onan, Arif
Sayek, İskender
RE-AIMing COVID-19 online learning for medical students: a massive open online course evaluation
title RE-AIMing COVID-19 online learning for medical students: a massive open online course evaluation
title_full RE-AIMing COVID-19 online learning for medical students: a massive open online course evaluation
title_fullStr RE-AIMing COVID-19 online learning for medical students: a massive open online course evaluation
title_full_unstemmed RE-AIMing COVID-19 online learning for medical students: a massive open online course evaluation
title_short RE-AIMing COVID-19 online learning for medical students: a massive open online course evaluation
title_sort re-aiming covid-19 online learning for medical students: a massive open online course evaluation
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8154107/
https://www.ncbi.nlm.nih.gov/pubmed/34039344
http://dx.doi.org/10.1186/s12909-021-02751-3
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