. Montosh Chakraborty; . Y. Anil Kumar Reddy; . Joy A. Ghoshal; . D. Amudharaj; . Mukesh Tripathi
Volume 11, Issue 7 , August 2021, , Pages 1-6
Abstract
BACKGROUND: COVID-19 lockdown has mandated the medical colleges to start academics usingelectronic mode. Synchronous e-learning was started by our institute to replicate traditional ...
Read More
BACKGROUND: COVID-19 lockdown has mandated the medical colleges to start academics usingelectronic mode. Synchronous e-learning was started by our institute to replicate traditional classes inline with the routine academic schedule. the objective of this study attempted to assess the e-learningreadiness of the students of our institute.MATERIALS AND METHODS: A cross-sectional descriptive study was planned using the modelproposed by Oketch et al. with local modifications. The questionnaire was designed in GoogleForms and mailed to respond using Likert scale. The nonparametric data collected from the total 84respondents were analyzed for validity and reliability of the questionnaire, mean values to know thereadiness (mean = 3.4), and one‑step multiple regression to know the predictors.RESULTS: The mean eLR (e-learning readiness) as evaluated from attitudinal readiness (MeanAR = 3.6),culture readiness (MeanCR = 2.3), material and technological readiness (MeanMTR = 3.7), and mentalhealth readiness (MeanMHR = 2.4) is 3.03 (60.6% with n = 84). Multiple regression analysis revealedthat all the variables except MHR can significantly predict e‑learning readiness linearly (P < 0.05).CONCLUSION: The institute is ready for e‑learning in terms of AR and MTR (mean values >3.4).CR and MHR still need a lot of improvisation to make it acceptable for e‑learning. The model couldexplain 54.9% readiness level with CR as the most important predictor. More than 73% (n = 84) of therespondents have acknowledged the present form of online classes to be the best available optionin COVID-19 lockdown and most of them are adapted to e-classes in the institute.