Integration of Digital Media in Dance Education: New Media as Catalysts for Educational Innovation
Dankook University, Yongin, South Korea
Abstract
With the advancement of new media and digital technologies, artificial intelligence (AI), big data, 5G communication, virtual reality (VR), and augmented reality (AR) are reshaping dance education by enabling personalized learning, immersive training, and interactive experiences. However, as an art form grounded in bodily perception and emotional expression, dance education still requires pedagogical guidance; excessive reliance on technology may lead to the alienation of embodied experience.
This study proposes a “technology–culture–body” triadic interaction model, grounded in TPACK, media convergence theory, and affordance theory, to examine the integration mechanisms of technology, pedagogy, and disciplinary knowledge within the digital transformation of dance education. The research highlights the significance of cultural context and embodied experience, revealing that while new media platforms enhance learning motivation, facilitate resource sharing, and promote global dissemination, algorithmic systems may inadvertently reduce cultural diversity.
The study provides a theoretical framework and practical reference for the digital transformation and innovation of dance education, proposing sustainable development strategies and future research directions to support its high-quality growth and cultural innovation.
Keywords:
Digital transformation; New media communication; Dance education innovation; Artificial intelligence; Big data; 5G technology; Virtual reality/augmented realityCopyright Notice & License:
All articles published in Global Review of Humanities, Arts, and Society (GRHAS) are licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows anyone to share, copy, distribute, transmit, and adapt the work, including for commercial purposes, provided that proper attribution is given to the original author(s) and the source.
This work is licensed under a Creative Commons Attribution 4.0 International License.
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