新冠肺炎封锁期间医学生的学术评估:解读机构准备指数

Y. K. Reddy, M. Chakraborty, Amudharaj Dharmalingam, J. Ghoshal, Mukesh Tripathi
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摘要

简介:新冠肺炎疫情爆发后,全国各地医疗机构突然关闭,迫使医疗机构迅速适应在线虚拟课堂和在线评估。本研究旨在评估本校医学生及教师对网上评核的准备程度,并找出网上理论评核的预测因子。材料与方法:对曼加拉吉里医学院的医学生和教师进行了一项描述性横断面问卷调查。通过谷歌表格向学生和教师分配了一份包含14个项目的预验证和预测试问卷,并要求他们对每个项目分别提供5分李克特量表的回答,从“非常不同意”到“非常同意”。对112名被调查者收集的非参数数据进行问卷效度和信度分析,对问卷的均值进行分析(M = 3.4),对预测因子进行一步多元回归分析。结果:问卷回收率为74% (n = 112)。态度准备度(AR)的平均值计算为3.13,物质和技术准备度(MTR)的平均值计算为2.7。AR和MTR是在线评估准备程度的显著预测因子(P < 0.05)。AR (β系数0.471)比MTR (β系数0.255)是最显著的预测因子。结论:不同问卷项目的回答频率存在差异。通过正式的培训和对在线评估的展开,可以提高在线理论评估的准备程度。
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Academic assessment of medical students in COVID-19 lockdown: Deciphering institutional readiness index
Introduction: The sudden closure of medical institutions all over the country due to the outbreak of the COVID-19 pandemic mandated the medical institutions to quickly adapt to the online virtual classroom and online assessment. This study was conducted to assess the readiness of online assessment among the medical students and faculty of the institute and to identify the predictors of online theory assessment. Materials and Methods: A descriptive cross-sectional questionnaire-based study was conducted among medical students and faculty of AIIMS Mangalagiri. A prevalidated and pretested questionnaire with 14 items were assigned through Google Forms to the students and faculty and were asked to provide a response on a 5-point Likert scale for each item ranging from “strongly disagree” to “strongly agree” separately. The nonparametric data collected from the total 112 respondents were analyzed for validity and reliability of the questionnaire, mean values to know the readiness (M = 3.4), and one-step multiple regression to know the predictors. Results: The response rate of the questionnaire was 74% (n = 112). The mean value for attitudinal readiness (AR) is calculated as 3.13 and the mean for material and technological readiness (MTR) is found to be 2.7. AR and MTR were found to be significant predictors of readiness for online assessment (P < 0.05). AR (beta coefficient 0.471) was found to be the most significant predictor than MTR (beta coefficient 0.255). Conclusion: The frequencies of responses are variable for different questionnaire items. The online theory assessment readiness score can be improved with formal training and unfolding to the online assessment.
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