International Journal of Scientific Research in Network Security and Communication

  • Year: 2023
  • Volume: 11
  • Issue: 3

Measures of effectiveness for e learning of University students during the Covid-19 pandemic using the statistical model

  • Author:
  • Jameela Ali Alkrimi1, Raja Salih Mohammed2,*, Ameer Hamdi Hakeem Al-Ameedee1, Safaa Hakeem Alkahfaji1, Ban Alwash1, Rawan Al-Rubaye1
  • Total Page Count: 7
  • DOI:
  • Page Number: 1 to 7

1College of Dentistry, University of Babylon, Babylon, Iraq

2Al Mansur Institute of Medical Technology, Middle Technical University, Baghdad, Iraq

Abstract

E-learning considers the best solution for continuing education during the COVID-19 pandemic, especially in tertiary education. The present study aims to analyze and the evaluation efficacy of learning in an e-learning system measures to improve the technical skills among dental and medical undergraduate students during Covid-19 outbreak. One thousand five-hundred students were assigned for this study and the answers for the given questionnaire were collected. The rate of response was 96.86% among respondents who use module and classroom tools, techniques, or platforms. The statistical model was applied to the analysis of the questionnaire. Principle component analysis techniques were used to determine the variables' efficacy on the E-learning model. The reliability of the associated components was measured using (Cronbach’s α) test gives 0.801. The findings of this study that medical education skills have been slightly affected by the use of e-learning during the COVID-19 pandemic. Therefore, the idea E-learning entails Familiarity with the technology; Usability, Learned skills, and Competency; Quick Responsiveness; Learning Quality of the learner; Time and Cost; Faster Learning; Information quality; and Knowledge sharing.

Keywords

E-learning, Effectiveness measure, Covid-19, Pandemic, Principal component analysis