AI-Enabled Teaching Models for Traditional Chinese Calligraphy: Balancing Technical Inheritance and Creative Development in Higher Education

FangZhong Guo

doi:10.63313/EH.9049

Authors

FangZhong Guo Philippine Christian University, Manila 1004, Philippines Author

DOI:

https://doi.org/10.63313/EH.9049

Keywords:

Artificial Intelligence, Higher Calligraphy Education, Technical Inheritance, Creative Development, Teaching Model

Abstract

The rapid iteration and practical application of Generative Artificial Intelligence (AIGC) have reconstructed the teaching ecology and creative practice logic of higher calligraphy education, posing new challenges to the cultivation of students' traditional calligraphy skills and creative development. As the core training objective of higher calligraphy education, the balance between technical inheritance and creative development is reflected in students' comprehensive abilities to accurately master traditional techniques, independently express aesthetics, conduct practical exploration, and achieve innovative breakthroughs in calligraphy learning. Taking higher calligraphy education as the research field, this study combines constructivist learning theory, cultural heritage education theory, and educational technology integration theory to analyze the core connotation and constituent dimensions of technical inheritance and creative development in higher calligraphy teaching in the AI era, explore the dual impacts of AI technology on calligraphy teaching, and construct a targeted teaching model and implementation strategies. This research aims to fill the research gap in the balanced cultivation of technology and creativity in higher calligraphy teaching under the background of the integration of AI and traditional art education, and provide theoretical references and practical paths for the teaching reform and talent training of higher calligraphy education.

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