Teaching Reform and Practice of Higher Vocational Courses via the Integration of “Post, Course, Competition, and Certificate”: A Case Study of the “Big Data Analysis in Finance and Taxation” Course

Zihan Yu

doi:10.71204/jaawy813

Authors

Zihan Yu Zhejiang Institute of Economics and Trade; Hangzhou Dianzi University Author

DOI:

https://doi.org/10.71204/jaawy813

Keywords:

Integration of “Post, Course, Competition, and Certificate”, Higher Vocational College, Big Data Analysis in Finance and Taxation, Teaching Reform, Multi-Dimensional Evaluation

Abstract

With the deepening of digital transformation in the finance and taxation fields, there is a growing demand for interdisciplinary talents proficient in both finance and taxation expertise and big data processing. However, the current teaching effects of the course “Big Data Analysis in Finance and Taxation” in higher vocational education generally fail to meet the comprehensive competency requirements of relevant job positions. Based on the multi-dimensional integrated educational logic of “Post, Course, Competition, and Certificate,” this paper designs integrated curriculum content and resources, proposes a “Two-Core, Four-Task” teaching model, and carries out teaching reform practices. The results show that students’ practical operation level of big data tools has been significantly improved, and the pass rate of the “1+X” Intelligent Finance and Taxation Certificate has increased. This effectively enhances students’ professional skills through competitions and certifications, and improves their vocational literacy through ideological and political education. This exploration provides a beneficial attempt to achieve the educational goal of the “Big Data Analysis in Finance and Taxation” course in higher vocational education.

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