Evidence map›Paper›PMID 36732791›Full record

ArticleBMC medical education2023

Learners' characteristics and the mastery of digital education during the COVID-19 pandemic in students of a medical faculty in Germany.

Julia Roick, Paul Poethke, Matthias Richter

Abstract read
In one paragraph

Article in BMC medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Julia RoickMartin Luther University Halle-Wittenberg, Institute of Medical Sociology, Magdeburger Str. 8, 06112, Halle (Saale), Germany. julia.roick@medizin.uni-halle.de.
Paul PoethkeMartin Luther University Halle-Wittenberg, Institute of Medical Sociology, Magdeburger Str. 8, 06112, Halle (Saale), Germany.
Matthias RichterMartin Luther University Halle-Wittenberg, Institute of Medical Sociology, Magdeburger Str. 8, 06112, Halle (Saale), Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn response to the spread of the coronavirus, educational institutions have been closed and digital education has become a new teaching method to ensure the continuity of medical education. Since this format was a new form of learning for students at medical faculties in Germany, little is known about the perception of it and the factors that contribute to successful mastery. The current study aimed to analyze students' learning experiences during the first online semester and to identify associations between learners' characteristics and enjoyment, mastery experiences, as well as the perceived stress level.

methodsIn this cross-sectional study, students of a medical faculty from Germany answered an online questionnaire including information about perceptions towards digital education and learners' characteristics (study skills and dispositions). Data were analyzed using multivariate linear regression analysis.

resultsIn total, 383 students responded to the online survey. A majority of students felt at least somewhat worse about their studies compared to before the pandemic. Success of study tasks was related to preferences for cooperative learning (B = - 0.063, p < .001) and success of study organization was associated to the use of metacognitive learning strategies (B = 0.019, p = .04). Enjoyment of studying in times of digital education was positively related to the use of metacognitive strategies (B = 0.049, p = .04) and self-efficacy (B = 0.111, p = .02). The perceived stress was influenced by cognitive strategies (B = 0.401, p = .02) and test anxiety (B = 0.466, p < .001).

conclusionsAlthough students perceive digital teaching as a good alternative for big courses, those with low self-efficacy beliefs and low self-regulation have problems in coping with the demands of this learning format and need further support.

Indexed as

COVID-19Students, MedicalCross-Sectional StudiesFaculty, MedicalHumansPandemicsCOVID-19Digital educationMedical educationMedical faculty students, learning behavior

Identifiers

PMID36732791
PMCPMC9894664

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.