- f
Data from: S1 Dataset -
- plos.figshare.com
binUpdated Jun 9, 2023
Share
Facebook
Twitter
EmailClick to copy linkLink copiedCiteEdmund 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.s001binAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0284980.s001Dataset updatedJun 9, 2023Dataset provided byPLOS ONEAuthorsEdmund Ndudi Ossai; Irene Ifeyinwa Eze; Chukwuma David Umeokonkwo; Chukwuemeka Obioma Izuagba; Lawrence Ulu OgbonnayaLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionIntroductionThe 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
- f
Socio-demographic characteristics of respondents.
- plos.figshare.com
xlsUpdated Jun 9, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteEdmund Ndudi Ossai; Irene Ifeyinwa Eze; Chukwuma David Umeokonkwo; Chukwuemeka Obioma Izuagba; Lawrence Ulu Ogbonnaya (2023). Socio-demographic characteristics of respondents. [Dataset]. http://doi.org/10.1371/journal.pone.0284980.t001xlsAvailable download formatsUnique identifierhttps://doi.org/10.1371/journal.pone.0284980.t001Dataset updatedJun 9, 2023Dataset provided byPLOS ONEAuthorsEdmund Ndudi Ossai; Irene Ifeyinwa Eze; Chukwuma David Umeokonkwo; Chukwuemeka Obioma Izuagba; Lawrence Ulu OgbonnayaLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionIntroductionThe 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
Not seeing a result you expected?
Learn how you can add new datasets to our index.
FacebookTwitterEmailAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
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