Research on Open Learning Based on Art Education in Smart Museum
- DOI
- 10.2991/978-94-6463-242-2_62How to use a DOI?
- Keywords
- Smart Museum; E-GPPE-C model; Qualia model; Art Education; Open Learning
- Abstract
With the digital development of museums and the continuous extension of their educational functions, the Smart Museums are facing new opportunities and challenges. At the same time, there is a growing demand for open learning in society. Based on the construction and application of E-GPP-C intelligent learning model supported by artificial intelligence, this study discusses the issues related to open learning in the digital age. The Qulia model method is used to analyze museum collections at three levels, score and sum the evaluation index factors of sensory quality characteristics, and find out the most sensitive collection. This paper proposes learner portraits based on subject knowledge map and big data technology analysis, constructs open learning methods, and provides quantitative representation of subject objectives for open learning practice of art education in Smart Museum.
- Copyright
- © 2024 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.
Cite this article
TY - CONF AU - Zheqian Liu AU - Ying Cao PY - 2023 DA - 2023/09/22 TI - Research on Open Learning Based on Art Education in Smart Museum BT - Proceedings of the 2023 4th International Conference on Artificial Intelligence and Education (ICAIE 2023) PB - Atlantis Press SP - 495 EP - 508 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-242-2_62 DO - 10.2991/978-94-6463-242-2_62 ID - Liu2023 ER -