Research on the Application Strategies of Artificial Intelligence in Accounting Teaching in Universities - Taking S School in Shandong Province as an Example
Against the backdrop of the booming development of new generation information technologies such as big data, cloud computing, and artificial intelligence, the accounting industry is facing transformation, which puts higher demands on accounting talents. Universities need to explore the path of accounting professional teaching reform. Artificial intelligence technology has significant value in interdisciplinary teaching of accounting, helping to cultivate students' composite professional competence, innovate accounting education and teaching models, and accelerate the upgrading and reconstruction of accounting disciplines. Taking S School in Shandong Province as an example, its accounting major has applied smart teaching tools and skill competition platforms in teaching, and carried out school enterprise cooperation, but the results are not significant. There are problems such as a shortage of interdisciplinary teaching staff, an imperfect talent training system, a low level of intelligent teaching resources, and the need to deepen the human-machine system of industry education integration and collaborative education. To this end, practical paths such as building a knowledge graph based accounting learning cognitive model, designing interdisciplinary collaborative practice projects based on blockchain, developing an intelligent financial decision simulation system based on reinforcement learning, and developing an intelligent financial report analysis engine based on natural language processing can be taken to promote the deep integration of accounting and artificial intelligence technologies and cultivate high-quality composite accounting talents.
Institutions
- Shandong Xiehe University (CN)
Publication Details
- Journal
- Lecture Notes in Education Arts Management and Social Science
- Published
- 2025-05-26
- DOI
- https://doi.org/10.18063/lne.v3i4.933
- Primary Topic
- Geochemistry and Geologic Mapping
- Type
- article
- Field-Weighted Citation Impact
- 0.00