Author(s)

Yibing Li ¹, Yanhong Wu ¹

Affiliation(s)

¹ Zhanjiang University of Science and Technology, Zhanjiang, Guangdong, China

Corresponding Author

Yibing Li

ABSTRACT

With the widespread application of big data technology, the demand for financial and accounting talents presents characteristics of digitalization and specialization. Based on big data analysis, this article explores the optimization of intelligent teaching strategies for financial and accounting talents, analyzes the problems of existing teaching strategies, and proposes targeted optimization suggestions. The research results indicate that optimizing curriculum design, strengthening school enterprise cooperation, deepening practical teaching reform, innovating teaching methods and evaluation systems, and utilizing big data to achieve personalized training are conducive to improving the quality of financial and accounting talent cultivation. Through the implementation of these strategies, the quality of financial and accounting professional teaching can be effectively improved, and digital talents that can meet the needs of future financial and accounting work can be cultivated.

KEYWORDS

Big Data Analysis, Digitized Teaching, Financial and Accounting Talents

CITE THIS PAPER

Yibing Li, Yanhong Wu, Research on Optimizing Teaching Strategies for Financial and Accounting Talents Based on Big Data Analysis . Accounting, Auditing and Finance (2024) Vol. 5: 37-44. DOI: http://dx.doi.org/10.23977/accaf.2024.050106.

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