@article{aipracticalteachinganimationmajors2026,
  title = {Path of practical teaching of AI technology in animation majors},
  author = {Zhang, J. and Guan, X.},
  year = {2026},
  journal = {Discover Artificial Intelligence (Springer Nature)},
  url = {https://link.springer.com/article/10.1007/s44163-026-01036-2},
  abstract = {This empirical study from Jilin Animation Institute, published in Discover Artificial Intelligence (Springer Nature, Vol. 6, article 315) on 5 March 2026, constructs and tests a practical teaching path integrating generative AI with a Transformer-based human pose estimation model for animation majors. Measured outcomes show the AI-integrated teaching group outperforming traditional instruction on both technical and artistic creation indicators. The study is one of very few empirical, animation-specific pedagogy papers in the literature and is admitted on that basis despite the Discover journal series being relatively young.},
  keywords = {generative-ai, character-animation, curriculum-design, studio-pedagogy},
  note = {AI \& Animation Education Knowledge Base}
}