Generative AI and Creative Thinking in Art Education: A TPACK-Based Theoretical Framework

Authors

  • QIONG LIU INTI International University, Malaysia
  • Renee Shiun Yee Chew INTI International University, Malaysia

Keywords:

Generative AI, TPACK, Creative Thinking, Art Education

Abstract

This paper explores the integration of generative artificial intelligence (AI) into art education as a means to foster creative thinking. Using the Technological Pedagogical Content Knowledge (TPACK) framework, it conceptualizes generative AI as technological knowledge dynamically interacting with pedagogical strategies and disciplinary content. The study proposes a model that enables art educators to design instruction aligning AI capabilities with creative learning goals. While generative AI enhances students’ imaginative engagement, it also raises ethical concerns such as authorship and originality. This conceptual framework aims to support reflective teaching practice and inform future empirical research, contributing to the evolving discourse on AI-assisted creativity in vocational art teacher education.

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Additional Files

Published

30.06.2025

How to Cite

LIU, Q., & Chew, R. S. Y. (2025). Generative AI and Creative Thinking in Art Education: A TPACK-Based Theoretical Framework. Journal of China-ASEAN Studies, 5(2), 37–44. retrieved from https://so07.tci-thaijo.org/index.php/JCAS/article/view/7882

Issue

Section

Articles