Research on the Influence of Artificial Intelligence Technology with web 3.0 on Accounting Education and Its Countermeasures

  • Li C
  • Zhao X
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Abstract

With the continuous development of artificial intelligence (AI) technology, AI technology has been widely used in various fields of social and economic life, bringing great impact to various industries. AI is a section of computer science, a new science technology that studies and develops theories, methods, and application systems used. The development of artificial intelligence technology first has a profound impact on the development of the accounting industry, which leads to the change of the demand for accounting talents. This paper takes the accounting industry as an example, discusses the application of artificial intelligence technology in accounting practice, analyzes its impact on the reform of accounting education, and finally proposes countermeasures and suggestions for accounting education to deal with technological challenges with the blended learning for increasing student retention and engagement in an E-learning environment. Blended learning gives greater flexibility which means being able to complete assignments any place and any time. It successfully improves students’ experience and enhances their engagement. It uses apps, games, or measurable programs and helps to balance the classroom. Practice shows that the development of artificial intelligence technology not only has a profound and extensive impact on the accounting profession and accounting education, but also has a profound impact on engineering education and other fields. An in-depth study of the challenges of artificial intelligence technology to accounting education is also of reference and guiding significance for the reform and development of engineering education and other fields.

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APA

Li, C., & Zhao, X. (2022). Research on the Influence of Artificial Intelligence Technology with web 3.0 on Accounting Education and Its Countermeasures. ACM Transactions on Asian and Low-Resource Language Information Processing, 21(6), 1–17. https://doi.org/10.1145/3527666

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