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

Chenyang Feng

Pinnacle Academic Press Proceedings Series, 2026, vol. 11, 181-188

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.

Keywords: generative ai; cultural education; resource development; teaching models; educational innovation (search for similar items in EconPapers)
Date: 2026
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