基于人工智能的教育应用对大学生钢琴技巧和自我效能的影响
1Piano Teaching and Research Office, Institute of Music, Taizhou University, Taizhou, Jiangsu Province, China.
概括
人工智能辅助的音乐教育显著提高了钢琴演奏和自我效能. 基于应用程序的学习提供了个性化的反,在技能发展和建立信心方面表现优于传统方法.
科学领域:
- 音乐教育 技术 音乐教育
- 人工智能在学习中的作用
- 音乐表演心理学 音乐表演心理学
背景情况:
- 人工智能应用程序在音乐教育中提供了扩展的实践支持和快速反.
- 传统的音乐教学可能无法充分利用技术来提高学习成果.
研究的目的:
- 研究应用程序辅助学习技术对钢琴家表演技能的影响.
- 与传统方法相比,评估人工智能工具对音乐表演自我效能的影响.
主要方法:
- 与实验 (应用程序辅助) 和控制 (传统) 组进行比较研究.
- 使用实用钢琴表演评估和音乐表演自我效能度量表进行测试前后的评估.
- 统计分析包括配对和独立的t测试,以比较群体结果.
主要成果:
- 实验组在钢琴演奏方面表现出显著的改善 (F=113.528,p<0.001).
- 在应用程序辅助组中,所有四个维度的自我效能 (掌握,代理,说服,生理) 都显著改善 (p<0.001).
- 与实验组相比,对照组没有显著改善.
结论:
- 由人工智能驱动的应用程序为音乐教育提供了显著的好处,提高了表现和自我效能.
- 应用程序辅助学习提供个性化,实时反和互动体验,优于传统教学.
- 未来的研究应该探索AI在音乐教育中的长期影响和混合学习应用.
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