Relevant Problems of Neurosensomotor Children's Development: Family and Environmental Supporting Factors
- Author:
- Meng Ge
- Work direction:
- Современные технологии нейросенсомоторного развития детей
- Abstract:
- This study aims to explore the theoretical underpinnings and experimental frameworks of music therapy, particularly when augmented by artificial intelligence (AI) technology. The increasing integration of AI in various scientific domains and daily life prompts its consideration in medical and musical applications. The primary objective is to assess the efficacy of AI-generated music in music therapy settings. To achieve this, a multi-faceted approach combining synthesis, analysis, induction, deduction, and descriptive methods is employed. Additionally, the historical-genetic method is utilized to trace the genesis and evolution of the music therapy-AI intersection. The practical implications of this research are profound, as the findings can inform the development of music therapy practices that incorporate AI. Initial findings suggest that AI enables a more individualized approach in music therapy, which is advantageous. Furthermore, AI-assisted melody creation for therapeutic purposes is significantly faster than traditional methods relying solely on human composition. Consequently, this study underscores the novelty and significance of AI in music therapy research.
- Keywords:
- artificial intelligence, music therapy, theoretical basis, experimental pathway
Relevant Problems of Neurosensomotor Children's Development: Family and Environmental Supporting Factors