Analysis of User Satisfaction with Online Education Platforms in China during the COVID-19 Pandemic.
Analysis of User Satisfaction with Online Education Platforms in China during the COVID-19 Pandemic.
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DOI：
10.3390/healthcare8030200
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发表时间：
2020-07-07
期刊：
影响因子：
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通讯作者：
Cong G
中科院分区：
文献类型：
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作者：
Chen T;Peng L;Yin X;Rong J;Yang J;Cong G
去年年底，各国爆发2019冠状病毒病（COVID-19），将传统的面对面教学转移到在线教育平台，直接影响教育质量。以我国在线教育平台用户满意度为研究对象，采用问卷调查和网络爬虫采集线上线下用户体验数据，通过情感分析和已有文献进行定量分析，构建用户满意度指标体系，并构建反向传播（BP）神经网络模型进行用户满意度预测。结果表明，用户个人因素对用户满意度没有直接影响，而平台可用性对用户满意度的影响最大。最后，提出了在线教育平台的改进建议，以提升新冠疫情期间的在线教育水平，推动教育信息化的改革。
The outbreak of Corona Virus Disease 2019 (COVID-19) in various countries at the end of last year has transferred traditional face-to-face teaching to online education platforms, which directly affects the quality of education. Taking user satisfaction on online education platforms in China as the research object, this paper uses a questionnaire survey and web crawler to collect experience data of online and offline users, constructs a customer satisfaction index system by analyzing emotion and the existing literature for quantitative analysis, and builds aback propagation (BP) neural network model to forecast user satisfaction. The conclusion shows that users’ personal factors have no direct influence on user satisfaction, while platform availability has the greatest influence on user satisfaction. Finally, suggestions on improving the online education platform are given to escalate the level of online education during the COVID-19 pandemic, so as to promote the reform of information-based education.