Research on Data Literacy Cultivation Strategies for Normal University Students under the Background of Big Data

DOI: https://doi.org/10.62517/jhve.202416107

Author(s)

Ying Liao, Yingying Chen*, Hengzhe Chen

Affiliation(s)

School of Education and Science, Zhaoqing University, Zhaoqing, Guangdong, China *Corresponding Author

Abstract

In December 2021, the National Conference on Education Informatization Work was held, proposing the digital transformation of traditional schools. With the advancement of global digitalization, the value impact of intelligent education on society is inestimable. How to make normal university students improve the awareness of applying data in future teaching in the trend of big data, cultivate their initiative in learning teachers' data literacy courses, improve their ability to obtain data information, and enable them to correctly process relevant data and further analyze, is what we need to think and study. This paper mainly takes Zhaoqing University as an example, through SPSS data analysis of the factors affecting the data literacy of normal university students, combined with the basis of big data background, to find suitable methods for normal university students to improve comprehensive data literacy, so as to provide some reference suggestions for normal university students to improve data literacy.

Keywords

Big Data; Normal University Students; Data Literacy; Influencing Factor

References

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