模拟音乐学生教师在中国使用人工智能的行为意图
1School of Music and Dance, Zhengzhou University of Science and Technology, Zhengzhou, China.
Frontiers in psychology
|February 16, 2026
概括
预服务音乐教师音乐教师
科学领域:
- 教育技术的教育技术
- 音乐教育 音乐教育教育
- 教育中的人工智能
背景情况:
- 人工智能 (AI) 在教育中的全球整合正在增加.
- 政府的倡议促进教师对教学中人工智能的积极态度.
- 关于影响预服务音乐教师AI采用意图的因素的研究有限.
研究的目的:
- 调查预服务音乐教师在教学中使用AI的意图的决定因素.
- 扩展技术接受和使用统一理论 (UTAUT) 模型,以在音乐教育中采用人工智能.
- 了解个人,机构和政策因素的相互作用.
主要方法:
- 在线问卷调查对370名音乐教师进行了预服务调查.
- 使用了一种扩展的技术接受和使用统一理论 (UTAUT) 模型.
- 结构方程建模 (SEM) 用于分析数据和测试模型.
主要成果:
- 扩展的UTAUT模型解释了62.4%的AI整合意图的差异.
- 社会影响,绩效预期和努力预期积极预测AI使用意图.
- 教育政策和促进条件显示出负面的直接影响,但政策通过努力预期和社会影响产生了积极的间接影响.
结论:
- 个人,机构和政策因素共同影响预服务音乐教师的AI采用.
- 研究结果为在音乐教师培训中开发有效的人工智能整合策略提供了洞察力.
- 了解这些因素对于在音乐教室中成功实施AI至关重要.
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