声乐培训中的人工智能辅助反和反思:对元认知和歌唱表现的影响
Wen Li1,2, Xuerong Cui3, Pravina Manoharan2
1School of Teacher Education, Aba Teachers College, Wenchuan, Sichuan, China.
Frontiers in psychology
|September 3, 2025
概括
人工智能 (AI) 和电子学习工具在声乐培训中增强了元认知. 虽然人工智能辅助的学习提高了歌唱技巧,但与超级认知能力的提高没有相关性,也没有明显超过传统方法.
科学领域:
- 音乐教育
- 教育技术
- 认知科学
背景情况:
- 超级认知对于学习至关重要,
- 反思和反是开发元认知的关键策略.
- 在音乐教育中整合人工智能和电子学习是一个新兴的研究领域.
研究的目的:
- 研究人工智能和电子学习工具对元认知能力和歌唱表现的影响.
- 探索声乐培训中反和反思干预措施的有效性.
- 在音乐教学中实施人工智能的框架.
主要方法:
- 一个为期六周的实验研究,对照组 (常规指导) 和实验组 (人工智能工具,反,反思).
- 干预措施包括自我评估工具,与大型语言模型 (AI聊天机器人) 的互动,以及反思性日记.
- 使用双向重复测量ANOVA和线性混合模型分析的数据.
主要成果:
- 人工智能辅助的培训显著影响了元认知能力的发展.
- 两组歌唱表现均显著改善,但时间和组之间没有显著的相互作用效应.
- 没有观察到元认知与唱歌表现之间的相关性.
结论:
- 人工智能和电子学习工具可以提供个性化的反,
- 这些技术为音乐培训中增强元认知能力提供了可行的框架.
- 需要进一步的研究来探索人工智能,元认知和性能结果之间的细微关系.
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