解释在教育中采用人工智能工具的方法:道德关注和功能价值的双路径模型
Tao Yu1,2, Yihuan Tian3, Qianghong Huang2
1College of Art & Design, Nanning University, Nanning, China.
Frontiers in psychology
|February 6, 2026
概括
人工智能生成内容 (AIGC) 在教育中的采用是由可用性和实用性驱动的,但道德问题可能会阻碍使用. 更高的道德敏感度可以减轻负面的道德观念,促进负责任的AIGC参与.
科学领域:
- 教育技术的教育技术
- 人工智能伦理学 人工智能伦理学
- 技术的心理学 技术的采用
背景情况:
- 人工智能生成内容 (AIGC) 工具在教育中越来越多地使用.
- 收养需要在感知到的好处和道德考虑之间取得平衡.
- 像TAM和PMT这样的现有模型为AIGC采用提供了部分解释.
研究的目的:
- 提出和测试一个双路径模型,整合TAM和PMT,以便在教育中采用AIGC.
- 检查功能评估 (感知有用性,感知易用性) 和道德关注 (感知道德关注,道德敏感性) 对采用意向的影响.
- 了解AIGC使用中的技术接受和心理/道德因素之间的相互作用.
主要方法:
- 使用结构方程建模分析了来自589名具有AIGC经验的受访者的数据.
- 评估了一种结合十个潜在构造的双路径模型.
- 测试了关于构造之间的关系的14个假设.
主要成果:
- 感知到的有用性和感知到的易用性积极预测了行为意图和持续意图 (TAM途径).
- 响应效率和自我效率通过增强感知有用性和减少感知道德关注来间接影响采用.
- 感知到的道德关注对行为意图和持续意图产生了负面影响,特别是对于那些具有高道德敏感度的人来说.
结论:
- 在教育中的AIGC采用受到功能效用和道德观念的影响.
- 伦理透明度和改进的可用性/有效性对于促进负责任的AIGC使用至关重要.
- 整合心理和道德框架提供了对AIGC采用动态的全面理解.
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