All-digital training course in neurophysiology: lessons learned from the COVID-19 pandemic.

COVID-19 pandemic all-digital training course, laboratory physiology remote virtual

Journal

BMC medical education
ISSN: 1472-6920
Titre abrégé: BMC Med Educ
Pays: England
ID NLM: 101088679

Informations de publication

Date de publication:
03 Jan 2022
Historique:
received: 17 05 2021
accepted: 02 12 2021
entrez: 4 1 2022
pubmed: 5 1 2022
medline: 6 1 2022
Statut: epublish

Résumé

The social distancing and suspension of on-campus learning, imposed by the COVID-19 pandemic, are likely to influence medical training for months if not years. Thus, there is a need for digital replacement for classroom teaching, especially for hands-on courses, during which social distancing is hardly possible. Here, we investigated students' learning experience with a newly designed digital training course in neurophysiology, with intercalated teaching blocks in either asynchronous (unsupervised online lectures and e-labs) or synchronous (online seminars, supervised by instructors) formats. The accompanying anonymized prospective study included 146 student participants. At the beginning and the end of the course, students were invited to answer anonymous online questionnaires with 18 and 25 items, respectively. We conducted both qualitative analyses of students' survey responses and statistical analyses of the results of cohort-specific summative examinations. The summative assessment results were compared both between 4 current cohorts and with the respective historical cohorts. Despite having little prior experience with e-learning (4.5 on the 1-7 scale), students adapted remarkably well to this online format. They appreciated its higher flexibility, time efficiency, student-oriented nature (especially when using inverted classroom settings), tolerance towards the individual learning style and family circumstances, and valued the ability to work through lectures and e-labs at their own learning speed. The major complaints concerned diminished social contacts with instructors and fellow students, the inability to ask questions as they occur, and the lack of sufficient technical expertise. The students valued the newly developed e-labs, especially the implementation of interactive preparative measures (PreLabs) and the intuitive lab design offered by the chosen software (Lt Platform from AD Instruments). The summative examinations at the end of the course documented the quality of knowledge transfer, which was comparable to that of previous classically instructed cohorts. Despite the missing personal contact between the faculty and the students, inherent to online teaching, the all-digital training course described here proofed to be of good educational value and, in case the pandemic continues, is worse considering for the future. Some of the described building blocks, like digital lectures or interactive PreLabs, may survive the pandemics to enrich the medical education toolbox in the future.

Sections du résumé

BACKGROUND BACKGROUND
The social distancing and suspension of on-campus learning, imposed by the COVID-19 pandemic, are likely to influence medical training for months if not years. Thus, there is a need for digital replacement for classroom teaching, especially for hands-on courses, during which social distancing is hardly possible. Here, we investigated students' learning experience with a newly designed digital training course in neurophysiology, with intercalated teaching blocks in either asynchronous (unsupervised online lectures and e-labs) or synchronous (online seminars, supervised by instructors) formats.
METHODS METHODS
The accompanying anonymized prospective study included 146 student participants. At the beginning and the end of the course, students were invited to answer anonymous online questionnaires with 18 and 25 items, respectively. We conducted both qualitative analyses of students' survey responses and statistical analyses of the results of cohort-specific summative examinations. The summative assessment results were compared both between 4 current cohorts and with the respective historical cohorts.
RESULTS RESULTS
Despite having little prior experience with e-learning (4.5 on the 1-7 scale), students adapted remarkably well to this online format. They appreciated its higher flexibility, time efficiency, student-oriented nature (especially when using inverted classroom settings), tolerance towards the individual learning style and family circumstances, and valued the ability to work through lectures and e-labs at their own learning speed. The major complaints concerned diminished social contacts with instructors and fellow students, the inability to ask questions as they occur, and the lack of sufficient technical expertise. The students valued the newly developed e-labs, especially the implementation of interactive preparative measures (PreLabs) and the intuitive lab design offered by the chosen software (Lt Platform from AD Instruments). The summative examinations at the end of the course documented the quality of knowledge transfer, which was comparable to that of previous classically instructed cohorts.
CONCLUSION CONCLUSIONS
Despite the missing personal contact between the faculty and the students, inherent to online teaching, the all-digital training course described here proofed to be of good educational value and, in case the pandemic continues, is worse considering for the future. Some of the described building blocks, like digital lectures or interactive PreLabs, may survive the pandemics to enrich the medical education toolbox in the future.

Identifiants

pubmed: 34980108
doi: 10.1186/s12909-021-03062-3
pii: 10.1186/s12909-021-03062-3
pmc: PMC8721176
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3

Informations de copyright

© 2021. The Author(s).

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Auteurs

Michael Duszenko (M)

Department of Neurophysiology, Eberhard-Karls University, Keplerstr. 15, 72074, Tübingen, Germany.

Nicole Fröhlich (N)

Department of Neurophysiology, Eberhard-Karls University, Keplerstr. 15, 72074, Tübingen, Germany.

Ariane Kaupp (A)

Department of Neurophysiology, Eberhard-Karls University, Keplerstr. 15, 72074, Tübingen, Germany.

Olga Garaschuk (O)

Department of Neurophysiology, Eberhard-Karls University, Keplerstr. 15, 72074, Tübingen, Germany. olga.garaschuk@uni-tuebingen.de.

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Classifications MeSH