Evidence map›Paper›PMID 37821892›Full record

ArticleBMC medical education2023

Strengthening E-learning strategies for active learning in crisis situations: a mixed-method study in the COVID-19 pandemic.

Mohammad-Ali Jahani, Aram Ghanavatizadeh, Sahar Delavari, Mahdi Abbasi, Hossein-Ali Nikbakht, Zeynab Farhadi, Alameh Darzi, Ghahraman Mahmoudi

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Article in BMC medical education, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Mohammad-Ali JahaniSocial Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Aram GhanavatizadehHospital Administration Research Center, Sari Branch, Islamic Azad University, Sari, Iran.
Sahar DelavariInstitute for the Developing Mind, Children's Hospital Los Angeles, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Mahdi AbbasiDepartment of Health Economics and Management, School of Public Health, Tehran University of Medical Sciences, Tehran, Iran.
Hossein-Ali NikbakhtSocial Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Zeynab FarhadiSocial Determinants of Health Research Center, Health Research Institute, Babol University of Medical Sciences, Babol, Iran.
Alameh DarziBabol Education Department, Babol, Iran.
Ghahraman MahmoudiHospital Administration Research Center, Sari Branch, Islamic Azad University, Sari, Iran. Ghahraman48@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMedical 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.

methodsThis 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.

resultsIn 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.

conclusionsThe 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.

Indexed as

Computer-Assisted InstructionCOVID-19Education, MedicalFaculty, MedicalHumansInterprofessional RelationsPandemicsProblem-Based LearningStudents, MedicalActive learningCOVID-19 pandemicE-learningFeedback

Identifiers

PMID37821892
PMCPMC10568816

What OpenQuestion holds

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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.