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    Data from: S1 Dataset -

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    Updated Jun 9, 2023
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    Edmund Ndudi Ossai; Irene Ifeyinwa Eze; Chukwuma David Umeokonkwo; Chukwuemeka Obioma Izuagba; Lawrence Ulu Ogbonnaya (2023). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0284980.s001
    Explore at:
    binAvailable download formats
    Dataset updated
    Jun 9, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Edmund Ndudi Ossai; Irene Ifeyinwa Eze; Chukwuma David Umeokonkwo; Chukwuemeka Obioma Izuagba; Lawrence Ulu Ogbonnaya
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    IntroductionThe COVID-19 pandemic caused massive disruption to medical education in Nigeria, necessitating the call for online medical education in the country. This study assessed the readiness, barriers, and attitude of medical students of Ebonyi State University Abakaliki, Nigeria, to online medical education.MethodsA cross-sectional study design was employed. All matriculated medical students of the university participated in the study. Information was obtained using a pre-tested, semi-structured questionnaire which was self-administered. Good attitude towards information and communication technology (ICT) based medical education was determined by the proportion of respondents correctly answering 60% of nine variables. Readiness for online classes was determined by the proportion of students who preferred either a combination of physical and online lectures or only online medical education amidst the COVID-19 pandemic. Chi-square test and multivariate analysis using binary logistic regression analysis were used in the study. A p-value of

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Click to copy link
Link copied
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Edmund Ndudi Ossai; Irene Ifeyinwa Eze; Chukwuma David Umeokonkwo; Chukwuemeka Obioma Izuagba; Lawrence Ulu Ogbonnaya (2023). S1 Dataset - [Dataset]. http://doi.org/10.1371/journal.pone.0284980.s001

Data from: S1 Dataset -

Related Article
Explore at:
binAvailable download formats
Dataset updated
Jun 9, 2023
Dataset provided by
PLOS ONE
Authors
Edmund Ndudi Ossai; Irene Ifeyinwa Eze; Chukwuma David Umeokonkwo; Chukwuemeka Obioma Izuagba; Lawrence Ulu Ogbonnaya
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Description

IntroductionThe COVID-19 pandemic caused massive disruption to medical education in Nigeria, necessitating the call for online medical education in the country. This study assessed the readiness, barriers, and attitude of medical students of Ebonyi State University Abakaliki, Nigeria, to online medical education.MethodsA cross-sectional study design was employed. All matriculated medical students of the university participated in the study. Information was obtained using a pre-tested, semi-structured questionnaire which was self-administered. Good attitude towards information and communication technology (ICT) based medical education was determined by the proportion of respondents correctly answering 60% of nine variables. Readiness for online classes was determined by the proportion of students who preferred either a combination of physical and online lectures or only online medical education amidst the COVID-19 pandemic. Chi-square test and multivariate analysis using binary logistic regression analysis were used in the study. A p-value of

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