Title: Improvement of online music teaching system in cultural tourism assisted by artificial intelligence
Authors: Weijun Gao; He Cao
Addresses: Conservatory of Music, Beihua University, Jilin, 132013, China ' Conservatory of Music, Beihua University, Jilin, 132013, China
Abstract: The research results show that the online music teaching system assisted by AI can keep the response speed within 4 seconds between 200 and 800 users and achieve the expected goal through performance test and user feedback analysis. Students' feedback shows that more than 90% are satisfied with the improved learning effect and online teaching method. Therefore, the improved system has significantly improved students' learning effect and satisfaction, and it is suggested to continue to optimise the system experience and performance in the future to further improve the teaching quality and user satisfaction. This study provides empirical support for the development of online music education technology against the background of culture-tourism integration, and offers specific suggestions for optimising the teaching model of music culture communication in cultural tourism scenarios.
Keywords: artificial intelligence; online music teaching; teaching system; teaching system improvement; cultural tourism.
DOI: 10.1504/IJART.2026.154753
International Journal of Arts and Technology, 2026 Vol.16 No.6, pp.1 - 20
Received: 07 Feb 2026
Accepted: 15 Apr 2026
Published online: 13 Jul 2026 *


