Digital Scene Reconstruction-Based Immersive VR Aesthetic Education Classroom Model

DOI

10.2991/978-94-6239-737-8_85How to use a DOI?

Keywords

digital scene reconstruction; immersive virtual reality; aesthetic education; classroom teaching model; content coding; learning evidence

Abstract

Immersive VR has strong potential for aesthetic education, yet many classroom applications still separate scene display from aesthetic interpretation, creative transfer, and assessment. This revised paper reconstructs the teaching model by clarifying coding definitions, the logic of model derivation, and the assessment design. The study uses a coded public-source corpus of seven policy, platform, and scholarly texts published between 2018 and 2025. Three coding dimensions are employed: scene-reconstruction function, classroom teaching link, and learning-evidence orientation. The last dimension is operationalized as the dominant type of observable student trace linked to four core aesthetic objectives: perceptual attention, interpretive judgment, creative translation, and reflective articulation. The corpus yields 28 scene-function mentions, 24 teaching-link mentions, and 18 learning-evidence mentions. The results show a concentration in reconstruction, roaming, manipulation, observation, and interpretation, while creation and reflection remain relatively weak. On this basis, the paper establishes an explicit chain from coded diagnosis to scenario modules, teaching tasks, and a four-stage classroom model. It further specifies four assessment indicators with concrete tools, four-level scoring criteria, and script-level feasibility checks.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Aihua Yin
AU  - Longbin Song
AU  - Guoyu Liu
AU  - Qingzhi Ma
PY  - 2026
DA  - 2026/08/18
TI  - Digital Scene Reconstruction-Based Immersive VR Aesthetic Education Classroom Model
BT  - Proceedings of the 2026 5th International Conference on Art Design and Digital Technology (ADDT 2026)
PB  - Atlantis Press
SP  - 738
EP  - 744
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-737-8_85
DO  - 10.2991/978-94-6239-737-8_85
ID  - Yin2026
ER  -