Research on Resource Development and Teaching Model Construction of Chinese Cultural Education Assisted by Generative AI

Authors

  • Chenyang Feng University of International Business and Economics, Dongguan, China Author

DOI:

https://doi.org/10.71222/myvn9q02

Keywords:

generative ai, cultural education, resource development, teaching models, educational innovation

Abstract

This study focuses on the transformative application of generative artificial intelligence (AI) within the domain of Chinese cultural education, systematically exploring its pivotal role in both teaching resource development and the construction of advanced pedagogical models. As digital transformation reshapes global educational paradigms, integrating cutting-edge AI technologies becomes essential for modernizing cultural instruction. Through comprehensive theoretical analysis and rigorous practical exploration, this research identifies the core mechanisms by which generative AI facilitates dynamic content generation, personalized learning support, immersive cross-cultural interaction, and objective teaching evaluation. In response to the prevailing challenges currently hindering Chinese cultural education—such as highly fragmented learning resources, limited opportunities for student personalization, single-dimensional cultural presentations, and an increasingly heavy administrative workload for educators—a series of multidimensional optimization paths are strategically proposed. These comprehensive solutions encompass the intelligent development of multimedia resources, the implementation of innovative and adaptive teaching models, targeted initiatives for teacher capacity enhancement, and robust sustainable development strategies tailored for long-term educational resilience. Ultimately, this study provides profound theoretical insights and actionable practical guidance for educators and policymakers. By leveraging generative AI, institutions can significantly improve overall teaching effectiveness, actively promote continuous educational innovation, and substantially enhance the depth and breadth of cross-cultural communication in an increasingly interconnected global landscape.

References

1. Y. Waghid, "Education for responsible citizenship: Conversation," Perspectives in Education, vol. 27, no. 1, pp. 85-90, 2009.

2. J. F. Lozano and A. Boni, "The impact of the multinational in the development: An ethical challenge," Journal of Business Ethics, vol. 39, no. 1, pp. 169-178, 2002.

3. H. N. Nor, R. M. Abdul, M. Ahmad, A. Pisali, and D. Habsary, "A review on integrating digital technologies into teaching and learning activity: Engaging street children in interactive learning," Journal of Advanced Research, vol. 56, no. 1, pp. 80-96, 2025.

4. A. W. Lo, "The educational affordances and challenges of generative AI in Global Englishes-oriented materials development and implementation: A critical ecological perspective," System, vol. 130, p. 103610, 2025.

5. W. C. Chang, N. F. Gonzalez Garcia, and S. Hasanzadeh, "Deep learning–based prediction of human–robot trust dynamics in future construction using worker neuropsychophysiological responses," Journal of Computing in Civil Engineering, vol. 39, no. 4, p. 04025047, 2025.

6. R. Putra, N. Renaldo, I. Purnama, N. Y. Putri, and S. Suhardjo, "Enhancing teacher performance through capacity building: A comprehensive analysis of professional development, mentoring, and organizational support," Reflection: Education and Pedagogical Insights, vol. 2, no. 1, pp. 1-8, 2024.

7. A. Mohammed and R. Kora, "A comprehensive overview and analysis of large language models: Trends and challenges," IEEE Access, 2025.

8. J. Beals, "Grounding AI: Understanding the implications of generative AI in world language & culture education," The FLTMAG, 2024.

9. I. Pedersen, "The rise of generative AI and enculturating AI writing in postsecondary education," Frontiers in Artificial Intelligence, vol. 6, p. 1259407, 2023.

10. M. Sharples, "Towards social generative AI for education: theory, practices and ethics," Learning: Research and Practice, vol. 9, no. 2, pp. 159-167, 2023.

11. S. Li, N. Phanthaphoonmee, S. Radovanovic, and N. Doungphummes, "Generative AI as transformative pedagogy for cultural competence education: An essential for future-ready higher education," 2025.

12. S. Watson, "Emergent discourses in generative AI in education and society," AI Perspectives, 2025.

13. W. Holmes and F. Miao, Guidance for generative AI in education and research, Unesco Publishing, 2023.

Downloads

Published

01 July 2026

How to Cite

Feng, C. (2026). Research on Resource Development and Teaching Model Construction of Chinese Cultural Education Assisted by Generative AI. Pinnacle Academic Press Proceedings Series, 11, 181-188. https://doi.org/10.71222/myvn9q02