通过人工智能增强音乐创造力:一种连锁中介的自我效能和情绪智能的模型
Tingzheng Wang1, Junhan Zhang2
1School of Art, University of Bristol, Bristol, United Kingdom.
Frontiers in psychology
|November 21, 2025
概括
人工智能 (AI) 显著提高了学生的音乐创造力. 音乐情绪智能和自我效能作为关键调解者,增强AI.
科学领域:
- 音乐 技术 音乐 技术
- 教育中的人工智能
- 音乐的心理学 音乐的心理学
背景情况:
- 人工智能正在改变音乐创作和教育.
- 人工智能对音乐创造力的影响需要进一步调查.
- 了解影响人工智能的心理因素至关重要.
研究的目的:
- 调查人工智能使用对音乐专业音乐创意的影响.
- 探索音乐自我效能和情绪智能的调解作用.
- 根据已建立的心理学理论开发一个理论模型.
主要方法:
- 使用问卷调查的定量方法.
- 结构方程建模 (SEM) 用于分析关系.
- 基于"近距离发展区域"和社会认知理论.
主要成果:
- 人工智能使用对音乐创造力产生积极影响.
- 音乐情感智能调解了人工智能与创造力之间的关系.
- 音乐的自我效能调解了人工智能与创造力之间的关系.
- 通过自我效能和情绪智能的顺序调解突出了心理因素.
结论:
- 人工智能增强了音乐创造力,特别是当通过情绪智能和自我效能进行调解时.
- 高等音乐教育应该在人工智能辅助的环境中培养这些心理因素.
- 通过心理支持,可以实现技术和创造力的协同发展.
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