Article: Optimisation of digital music teaching system based on artificial intelligence and neural network in the context of cultural tourism Journal: International Journal of Arts and Technology (IJART) 2026 Vol.16 No.6 pp.116 - 143 Abstract: Digital music education has shown great potential in the wave of digital transformation of the cultural tourism industry, providing an opportunity for the deep integration of traditional music teaching and cultural tourism experience. The current online platforms lack attention to individual differences, making it difficult to meet the fragmented and personalised learning needs of tourists or study groups in the cultural and tourism scene. This study aims to optimise the teaching process using artificial intelligence (AI) neural network technology. The study proposes the concept framework of dynamic maintenance of optimal learning zone (DM-OLZ) for cultural and tourism research and learning scenarios. An intelligent teaching assistant system with perceptual ability is constructed by integrating convolutional neural network (CNN) and long short-term memory (LSTM) networks. Experimental data confirms that in the practical scenario of cultural tourism integration, the system has a significant effect on enhancing learners' interest and skill mastery. Inderscience Publishers - linking academia, business and industry through research

Title: Optimisation of digital music teaching system based on artificial intelligence and neural network in the context of cultural tourism

Authors: Zhaohui Ge; Bin He

Addresses: College of Preschool Education, Xiangzhong Normal College For Preschool Education, Shaoyang, 422001, China ' College of Preschool Education, Xiangzhong Normal College For Preschool Education, Shaoyang, 422001, China

Abstract: Digital music education has shown great potential in the wave of digital transformation of the cultural tourism industry, providing an opportunity for the deep integration of traditional music teaching and cultural tourism experience. The current online platforms lack attention to individual differences, making it difficult to meet the fragmented and personalised learning needs of tourists or study groups in the cultural and tourism scene. This study aims to optimise the teaching process using artificial intelligence (AI) neural network technology. The study proposes the concept framework of dynamic maintenance of optimal learning zone (DM-OLZ) for cultural and tourism research and learning scenarios. An intelligent teaching assistant system with perceptual ability is constructed by integrating convolutional neural network (CNN) and long short-term memory (LSTM) networks. Experimental data confirms that in the practical scenario of cultural tourism integration, the system has a significant effect on enhancing learners' interest and skill mastery.

Keywords: artificial intelligence; neural network; convolutional neural network; CNN; long short-term memory; LSTM; digital music teaching; cultural tourism.

DOI: 10.1504/IJART.2026.154750

International Journal of Arts and Technology, 2026 Vol.16 No.6, pp.116 - 143

Received: 23 Feb 2026
Accepted: 15 Apr 2026
Published online: 13 Jul 2026 *

Title: Optimisation of digital music teaching system based on artificial intelligence and neural network in the context of cultural tourism

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