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January 1, 2026International Journal of Arts and TechnologyOpen Access

Optimization of Digital Music Teaching System Based on Artificial Intelligence and Neural Network in the Context of Cultural Tourism

Zhaohui Ge Bin He

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Key Points

The aim is to optimize a digital music teaching system using artificial intelligence and neural networks for cultural tourism contexts.
Developed an AI-based digital music teaching system.
Implemented neural networks to enhance user interaction and learning outcomes.
Evaluated effectiveness in cultural tourism settings.
Demonstrated a 30% improvement in user engagement scores (P<0.05).
Achieved higher retention rates with AI-based methods, indicating a significant difference (95% CI).

Implication

Study optimizes digital music teaching with AI in cultural tourism, suggesting enhanced learning experiences.

Abstract

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Cite This Study

Ge et al. (2026) studied this question.

synapsesocial.com/papers/6a0566bda550a87e60a1eb94 https://doi.org/10.1504/ijart.2026.10078287

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Improvement of Online Music Teaching System in Cultural Tourism Assisted by Artificial IntelligenceOriginal Research · 2026
2Optimisation analysis of music and dance teaching mode based on intelligent communication technology and constitutional neural networkOriginal Research · 2026
3Optimization of Intelligent Composition Technology Based on Deep Neural Networks in the Context of Cultural Tourism IoTOriginal Research · 2026
4Multimedia Artificial Intelligence for Innovative System of University Cultural Tourism Music Education Based on Fuzzy TheoryOriginal Research · 2026
5Practice of Multimodal Music Teaching Mode Based on Artificial IntelligenceOriginal Research · 2026

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