Evaluating e-Learning Google Classroom tools for Computer Science Subjects during COVID-19 Pandemic

Abstract

COVID-19 pandemic has affected teaching and learning around the world. As a result, schools and higher learning institutions use the e-learning platform to replace face-to-face teaching and learning. In Oman, the government encourages educational institutions to use suitable e-learning platform. This study aims to evaluate the e-learning Google Classroom as a teaching and learning tool during the COVID-19 pandemic. A total of 22 Computer Science students at a higher learning institution in Oman enrolled in Computer Programming, Introduction to Database Management System, Network System, Web Development, Operating System, and Management Information System competed in the study. The questionnaire used implemented from the previous study and sustained the expert’s consent. The study was examined using descriptive statistics with regular standard deviation, percentage, frequency, and score. Inferential statistics included Pearson correlation tests. The study attested that the mean level of challenge faced by students in using Google Classroom is 3.71. Meanwhile, the Pearson correlation test found that the significant value was .000. Therefore, there was a relationship between technical support for the operating system and social presence aspects. Hence, the null hypothesis (H0) was rejected.