Human-AI Collaboration Perspective on Generative AI-Enabled Teaching Reform of Digital Finance Courses in Higher Vocational Education

Yitong Xu

doi:10.54097/fta3dy85

Authors

Yitong Xu

DOI:

https://doi.org/10.54097/fta3dy85

Keywords:

Generative AI, Human-AI collaboration, Higher vocational education, Digital finance courses, Teaching reform, Integration path

Abstract

The rapid iteration of generative AI technologies, represented by DeepSeek and ChatGPT, has injected new momentum into the digital transformation of higher vocational education. Current digital finance courses in higher vocational colleges commonly suffer from three problems: insufficient AI literacy among teachers, prominent learning aversion among students, and curriculum content iteration lagging behind industry development. Based on the human-AI collaboration theory, this paper analyzes the impact of generative AI on the entire process of lesson preparation, classroom teaching, learning, and evaluation, and proposes a three-tier "foundation-core-extension" curriculum restructuring plan along with a "pilot-optimize-promote" implementation strategy. The research aligns with the actual cultivation of intelligent accounting talents in higher vocational colleges and provides a replicable practical path for integrating AI into digital finance courses.

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References

[1] H. Crompton and D. Burke, "Artificial intelligence in higher education: A systematic review of the literature," Education and Information Technologies, vol. 28, no. 12, pp. 15795–15816, Dec. 2023.

[2] H. Crompton and D. Burke, "Artificial intelligence in higher education: The state of the field," International Journal of Educational Technology in Higher Education, vol. 20, no. 1, p. 22, Apr. 2023.

[3] M. I. Baig and E. Yadegaridehkordi, "ChatGPT in higher education: A systematic literature review and research challenges," International Journal of Educational Research, vol. 126, p. 102411, 2024.

[4] Q. Qin and S. Zhang, "Visualizing the knowledge mapping of artificial intelligence in education: A systematic review," Education and Information Technologies, vol. 29, pp. 20177–20214, Oct. 2024.

[5] C. K. Y. Chan, "A systematic literature review of empirical research on applying generative artificial intelligence in education," Frontiers of Digital Education, vol. 1, no. 3, pp. 223–245, Sep. 2024.

[6] H. Scott and A. Dwight, "GPTs and the choice architecture of pedagogies in vocational education," Systems, vol. 13, no. 10, p. 872, Oct. 2025.

[7] A. F. Holmes and A. Douglass, "Artificial intelligence: Reshaping the accounting profession and disruption to accounting education," Journal of Emerging Technologies in Accounting, vol. 19, no. 1, pp. 53–68, Mar. 2022.

[8] T. J. Tang, "Generative artificial intelligence supported programming learning: Effectiveness and core competence in vocational colleges," SAGE Open, vol. 15, no. 3, pp. 1–12, Sep. 2025.

[9] J. Ballantine, G. Boyce and G. Stoner, "A critical review of AI in accounting education: Threat and opportunity," Critical Perspectives on Accounting, vol. 99, art. no. 102711, Aug. 2024.

[10] J. H. Wang, "Exploration on teaching reform of Python course for big data and accounting major," Education Informatization Forum, no. 8, pp. 66–68, Aug. 2024.

[11] X. Wang, "Research on teaching reform of financial big data basic course based on Python," Journal of Liaoning Higher Vocational, vol. 26, no. 4, pp. 55–58, Apr. 2024.

[12] R. Cai and P. J. Mei, "Human-machine collaborative logic and basic strategies for AI-enhanced lesson preparation: A case study of constructing a three-tiered interpretation AI lesson preparation tool," Journal of Primary and Secondary School Teaching Research, no. 6, pp. 26–33, Jun. 2025.

[13] X. Wang, "Research on innovation of higher vocational accounting teaching reform from the perspective of generative AI," Time-Honored Brand Marketing, no. 9, pp. 222–224, Sep. 2025.

[14] T. J. Tang and C. Su, "Exploration of higher vocational teaching reform under the background of generative artificial intelligence," Computer and Information Technology, vol. 32, no. 2, pp. 111–113, Mar. 2024.