The application of association rule algorithm in vocational English teaching

Authors

  • Li Wang

DOI:

https://doi.org/10.56028/aehssr.6.1.147.2023

Keywords:

Data mining; Association rules; Higher vocational colleges; English teaching; Teaching evaluation.

Abstract

English teaching in higher vocational colleges is the basic content of modern education management. Under the development trend of economic globalization, facing increasingly fierce competition in the social environment, English teaching can improve the level of international competition and cultivate more excellent technical talents for urban construction and development. Especially after China's accession to the World Trade Organization, with the continuous expansion of economic construction and cultural publicity and opening-up, how to use English education to compete on the international stage has become the focus of education scholars in the new era. Therefore, after understanding the problems and challenges faced by English teaching in higher vocational colleges, this paper, based on the basic concepts of data mining technology and association rules algorithm, mainly studies the evaluation system of English teaching in higher vocational colleges with association rules algorithm as the core, and verifies the application effect of association rules algorithm combined with practical cases, in order to provide favorable conditions for improving the quality of classroom teaching. 

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Published

2023-06-25