Analysis of Factors Affecting the Development of Online Education under COVID-19: Evidence from Chinese “Double Reduction” Policy
Keywords:Covid-19; Online Education; Multiple Linear Regression; “Double Reduction” Policy.
With the further spread of the new crown epidemic and the enactment of the "double reduction" policy in 2021, the online education market is challenged by ice and fire. This paper collects data on the size of the online education market and related influencing factors, and introduces multiple linear regression analysis for comparative analysis. I found that is effective in estimating the online education market in the new environment, with significantly higher model accuracy. This has important implications for how to develop a quality online education market, which in turn has significant practical implications for the country's response to the epidemic affecting offline education, meeting people's educational needs, and improving the education system.
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