Abstract
At present, with the wide application of big data in the field of education, especially through the big data scraping class and individual students’ homework, test scores and other learning results for statistical analysis, to gain the conclusion of the whole data can help teachers diagnose teaching effect and improve teaching quality. With the development of post-industrial market economy, the demand for professional talents is not only to stay at the level of academic achievement, but also to consider students’ professional accomplishment. It can be predicted that in the future, big data analysis will be more widely used in personnel training, and the core literacy indicators of students will be defined by data. This paper through research and practice, compares and analyzes the definition of professional core literacy by different organizations and scholars, determines the standard of digital core literacy, discusses the construction of digital evaluation system, and explores the application of big data in future education area.
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Acknowledgement
This work was supported by grant of No. 2020ZDZX1092 from the Department of Education of Guangdong Province, China.
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© 2022 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Chen, B., Rao, Z. (2022). Research on the Construction of Students’ Vocational Core Literacy Evaluation System of Big Data Analysis. In: Shi, S., Ma, R., Lu, W. (eds) 6GN for Future Wireless Networks. 6GN 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 439. Springer, Cham. https://doi.org/10.1007/978-3-031-04245-4_60
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DOI: https://doi.org/10.1007/978-3-031-04245-4_60
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