大流行
逻辑回归
2019年冠状病毒病(COVID-19)
偏爱
感知
样品(材料)
在线学习
医学教育
心理学
高等教育
公立大学
远程教育
数学教育
计算机科学
政治学
医学
经济增长
多媒体
疾病
统计
经济
数学
公共行政
化学
病理
色谱法
机器学习
神经科学
传染病(医学专业)
作者
Md. Fouad Hossain Sarker,SZ Rahman,Samiha Khan,Md. Salman Sohel,Maruf Ahmed Tamal,Mahin Khan,Md. Kabirul Islam
标识
DOI:10.3991/ijet.v18i13.38807
摘要
The COVID-19 pandemic has had a significant impact on both public health, and the global educational system. In response to the concerns surrounding the spread of the disease, many educational institutions, including those in Bangladesh, have shifted to online learning. This study aimed to investigate the perceptions and preferences of university students in Bangladesh towards online classes during the COVID-19 pandemic. The research was based on Binary Logistic Regression (BLR) and was conducted on a sample of 1116 university students in Bangladesh. The results of the study showed that while students faced a range of challenges while participating in online classes, including technical issues and limited access to study materials, they still preferred to participate in online courses due to the ongoing pandemic and the support of their teachers. Furthermore, the study revealed that there were differences in students’ attitudes toward online learning based on gender, geographic location, and type of university. The findings of this study are of great significance to governments, policymakers, technology developers, and university administrators, as they provide valuable information for the development of effective policies for online education in the future. These findings should be taken into consideration as a crucial guide to making in-formed decisions in the area of online education.
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