我的数字导师:对用户-GAI交互的混合方法研究
Lei Xian1, Guangqiu Cao2, Na Zhang2
1School of Management, Xiamen University, Xiamen, China.
Frontiers in psychology
|December 4, 2025
概括
在线学习中的生成人工智能 (GAI) 需要各种因素的组合才能长期使用. 受智力,准确性和支持影响的感知价值和满意度,推动了对GAI工具的持续参与.
科学领域:
- 教育技术的教育技术
- 教育中的人工智能
- 人与计算机的交互
背景情况:
- 生成型人工智能 (GAI) 为在线学习提供动态内容.
- 现有的研究重点关注短期的GAI采用,忽视长期使用和心理因素.
研究的目的:
- 调查在线学习中GAI的长期 (输注) 使用.
- 确定驱动GAI输液使用的心理机制.
- 开发一个有效的用户-GAI交互的框架.
主要方法:
- 两阶段混合方法方法:半结构面试 (N=26) 随后进行调查验证 (N=327).
- 确定了关键因素:智能,可解释性,响应时间,可整合性,准确性,来源可信性,个性化和情感支持.
- 使用 fsQCA 来确定输注使用的因子配置.
主要成果:
- 通过感知价值和满意度,八个已识别的因素影响了输液使用.
- 没有单一的因素是足够的;因素的组合对于持续的GAI使用至关重要.
- 用户-GAI互动是由心理因素,如感知价值和满意度调解的.
结论:
- 调查结果扩大了在线学习中的技术采用文献.
- 设计有效的用户-GAI交互的实际含义.
- 强调整体方法在教育中整合GAI的重要性.
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