{"title":"新冠肺炎疫情期间影响印度东部某教学医院本科医学生在线教育认知的因素","authors":"M. Datta, S. Bhattacharya","doi":"10.5812/jme-122541","DOIUrl":null,"url":null,"abstract":"Background: Shift from medical education to online mode during the coronavirus pandemic started without much preparation. Students’ perception is vital to further improve online medical education. Objectives: This study aimed to assess undergraduate medical students' perception of online education and conduct factor analysis of responses to identify latent variables. Methods: This descriptive cross-sectional online survey was conducted among the phase II undergraduate medical students. A structured questionnaire was mailed to 200 randomly selected students. Variables collected were demographics (age, sex, residence, and mother language), academic profile, and perception of online education. Outcome measures were frequencies, percentages, and the degree of agreement to given statements about online education. Factor analysis was done by principal component analysis with varimax rotation to identify latent factors. Results: Analysis was done for 115 completed questionnaires. The mean age of the respondents was 21.2 yrs, with a male preponderance (82.6%). The students had low satisfaction with online classes and did not consider online education as effective as offline classes. Exploratory factor analysis identified three factors, including 'planning and delivery of online lessons', 'satisfaction with online education,' and 'opportunity to interact.' Conclusions: Online education was not as effective as in-person education. The reason was mainly changes in student-teacher interaction.","PeriodicalId":30594,"journal":{"name":"Journal of Medical Education Development","volume":"131 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Factors Affecting Undergraduate Medical Students' Perception of Online Education During the COVID Pandemic at a Teaching Hospital in Eastern India\",\"authors\":\"M. Datta, S. Bhattacharya\",\"doi\":\"10.5812/jme-122541\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Background: Shift from medical education to online mode during the coronavirus pandemic started without much preparation. Students’ perception is vital to further improve online medical education. Objectives: This study aimed to assess undergraduate medical students' perception of online education and conduct factor analysis of responses to identify latent variables. Methods: This descriptive cross-sectional online survey was conducted among the phase II undergraduate medical students. A structured questionnaire was mailed to 200 randomly selected students. Variables collected were demographics (age, sex, residence, and mother language), academic profile, and perception of online education. Outcome measures were frequencies, percentages, and the degree of agreement to given statements about online education. Factor analysis was done by principal component analysis with varimax rotation to identify latent factors. Results: Analysis was done for 115 completed questionnaires. The mean age of the respondents was 21.2 yrs, with a male preponderance (82.6%). The students had low satisfaction with online classes and did not consider online education as effective as offline classes. Exploratory factor analysis identified three factors, including 'planning and delivery of online lessons', 'satisfaction with online education,' and 'opportunity to interact.' Conclusions: Online education was not as effective as in-person education. The reason was mainly changes in student-teacher interaction.\",\"PeriodicalId\":30594,\"journal\":{\"name\":\"Journal of Medical Education Development\",\"volume\":\"131 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Medical Education Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5812/jme-122541\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medical Education Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5812/jme-122541","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Factors Affecting Undergraduate Medical Students' Perception of Online Education During the COVID Pandemic at a Teaching Hospital in Eastern India
Background: Shift from medical education to online mode during the coronavirus pandemic started without much preparation. Students’ perception is vital to further improve online medical education. Objectives: This study aimed to assess undergraduate medical students' perception of online education and conduct factor analysis of responses to identify latent variables. Methods: This descriptive cross-sectional online survey was conducted among the phase II undergraduate medical students. A structured questionnaire was mailed to 200 randomly selected students. Variables collected were demographics (age, sex, residence, and mother language), academic profile, and perception of online education. Outcome measures were frequencies, percentages, and the degree of agreement to given statements about online education. Factor analysis was done by principal component analysis with varimax rotation to identify latent factors. Results: Analysis was done for 115 completed questionnaires. The mean age of the respondents was 21.2 yrs, with a male preponderance (82.6%). The students had low satisfaction with online classes and did not consider online education as effective as offline classes. Exploratory factor analysis identified three factors, including 'planning and delivery of online lessons', 'satisfaction with online education,' and 'opportunity to interact.' Conclusions: Online education was not as effective as in-person education. The reason was mainly changes in student-teacher interaction.