在测试构建中使用人工智能:实用指南
Javier Suárez-Álvarez1, Qiwei He2, Nigel Guenole3
1University of Massachusetts Amherst (USA).
Psicothema
|February 4, 2026
概括
人工智能 (AI) 为测试构建提供了好处,但需要仔细实施. 本研究提供了在测试开发和校准中负责任地使用人工智能的指导方针,以确保有效性,可靠性和公平性.
科学领域:
- 心理测量 心理测量 心理测量
- 人工智能的人工智能
- 教育评估的教育评估
背景情况:
- 人工智能 (AI) 提高了评估效率和可扩展性.
- 在测试构建中采用人工智能的研究人员和从业人员之间是有限的.
- 本研究审查了测试构建中的AI应用,并提出了指导方针.
研究的目的:
- 在测试构建中批判性地审查当前基于AI的应用程序.
- 提出AI在测试开发和校准中的实际指导方针.
- 解决风险,并最大限度地提高AI在评估中的好处.
主要方法:
- 关于测试构建中的AI的综合文献综述.
- 专注于项目开发和校准过程.
- 包含现实世界的实践实践实践实践实践的例子.
主要成果:
- 在测试开发中发展人工智能的最佳实践需要人类监督.
- 有效的AI项目生成需要高质量的数据,对齐和验证.
- 校准包括构造有效性,提示工程和模型合适性评估.
结论:
- 提出了一份用于测试开发和校准中的生成AI的实用指南.
- 准则解决了有效性,可靠性和公平性的挑战.
- 促进对AI在评估中的负责任和有效实施.
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