相关实验视频
由生成人工智能支持的协作音乐创作的影响学生的创造力
1Graduate School, Department of Education, Gachon University, Seongnam, Republic of Korea.
Frontiers in psychology
|January 22, 2026
概括
生成型人工智能 (GAI) 显著提高了大学生对音乐创作的创造性兴趣,自我效能和学习. 由GAI驱动的协作增强了人们感知的创造能力,为智能音乐教育提供了洞察力.
科学领域:
- 教育教育教育教育教育教育.
- 人工智能的人工智能
- 音乐 音乐 音乐 音乐
背景情况:
- 生成型人工智能 (GAI) 在教育中的整合正在增长,特别是其在创造性学习中的潜力.
- GAI在音乐教育中的影响机制尚未得到充分探索.
研究的目的:
- 调查GAI支持的协作音乐创作对大学生的影响.
- 检查对创意兴趣,自我效能,自我调节学习和感知到的创意能力的影响.
主要方法:
- 混合方法方法结合结构方程建模 (SEM) 和实验设计.
- 收集了来自中国405名大学生的数据.
主要成果:
- GAI支持显著增强了创意兴趣 (β=0.616),自我效能 (β=0.557) 和自我调节的学习 (β=0.473).
- 创造性兴趣,自我效能和自我调节的学习预测了被感知到的创造性能力 (β=0.357).
- 与对照组相比,GAI支持的合作改善了学生的创造性发展.
结论:
- 这些发现为人工智能增强的创造力模型提供了经验支持.
- 为设计智能音乐教育环境提供了见解.
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