Individual Self-assessment Using Feedback System to Improve e-Learning in Case of Corona 19 Pandemic

Abstract

COVID-19 pandemic is affecting people all over the world, and its health effects have prompted authorities to issue a warning and implement strict measures such as banning and preventing gatherings, moving to social distancing, imposing anti-vaccines, and tightening restrictions and health measures to stem the spread. Most governments decided to close educational institutions such as universities and schools in order to avoid congestion and virus transmission. This is a quantitative study based on statistical applications; data was collected from people selected using a purposive sampling strategy using a questionnaire (with closed-ended questions). This research suggests an individual self-assessment using a feedback system that is utilized in a questionnaire to analyze the appropriateness of feedback for students on their work. Using the Pearson Chi-Square test and mean to describe the interdependent relationships, this study proved the reliability of data and its importance of the association of variables. The findings reveal that students are aware of the importance of feedback and eLearning platforms. As the results show, the value of the eLearning System and the students' and peers' feedback on one other's work in virtual courses is significant.