Abstract—In the context of the deep integration of contemporary traditional culture inheritance and media technology, the long-standing dissemination predicament of Chinese classical dance, which has been confined to theatrical space, urgently needs to be broken through. This paper takes Henan Satellite TV's "Dance for a Thousand Years" "Wonderful Tour" series of TV dance programs as the research object, focuses on the enabling role of image technology (AR, VR, naked-eye 3D, etc.) in the construction of classical dance space, and conducts an analysis from two dimensions: "generation of traditional culture space" and "construction of immersive experience space". The study found that imaging technology reproduces the historical and cultural context of classical dance through "reconstruction of the life patterns of ancient dance" and "visual extraction of cultural symbols"; At the same time, through the triple mechanisms of "virtual and real scene synergy", "multi-sensory interaction", and "perspective transformation", it breaks the shackles of physical space and builds "hyper-real" immersive experience fields. This practice not only expands the dissemination boundaries of classical dance, but also strengthens the cultural identity of the masses, but beware of the dissolution of the essence of dance by the abuse of technology. This paper aims to provide theoretical references and practical paths for the spatial innovation and inheritance of Chinese classical dance in the digital age.

Keywords—imaging technology, Chinese classical dance, television dance programs, space construction, immersive experience
 

Cite: Dan Wu and Jie Chen, "Research on the Spatial Construction of Chinese Classical Dance in Television Dance Programs Empowered by Imaging Technology—Taking the "Wonderful Tour" Series of "Dance for a Thousand Years" on Henan Satellite TV as an Example," International Journal of Learning and Teaching, Vol. 11, No. 5, pp. 314-319, 2025.

Copyright © 2025 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).