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Analysis of Statistics Teaching Reform in Universities under the Background of Big Data

Chongwen Zhong, Xiaojing Pei, Xinna Zhao


With the rapid development of big data, various data information has injected new vitality into different industries. This requires teachers to actively innovate their own teaching methods in order to achieve the purpose of constructing efficient classes. This paper mainly analyzes the main reasons for the low teaching effect of statistics teaching activities in the university. Moreover, this paper also explores the specific methods to reform teaching activities in the background of big data. Therefore, for the effective guarantee of the teaching effect, these methods could promote the long-term development of higher statistics teaching in the future.


Higher Education; Scientific and Technological Development; Big Data; Education Reform

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DOI: http://dx.doi.org/10.18686/ahe.v4i3.2085