基于自动和变压器的自动产品生成:一个批判性审查
Markus Sommer1, Martin Arendasy1
1Department of Psychology, University of Graz, Universitätsplatz 2, 8010 Graz, Austria.
Journal of Intelligence
|August 27, 2025
概括
本综述探讨了自动项目生成 (AIG) 方法,包括基于变压器的方法,以应对现代心理测试的挑战. 它评估了它们节省成本和提高测试有效性的潜力.
科学领域:
- 心理测量
- 人工智能
- 教育测量
背景情况:
- 由于使用模式不断变化,现代心理测试面临挑战.
- 传统的项目开发是耗时且昂贵的.
- 对高效有效的项目生成方法的需求正在增加.
研究的目的:
- 批判性地审查不同的自动项目生成方法 (AIG).
- 根据目前的心理测试挑战评估AIG方法.
- 确定理想的AIG系统的要求.
主要方法:
- 审查概念上不同的自动和基于变压器的AIG方法.
- 对每种方法对挑战的贡献进行单独的审查.
- 专注于节省成本 (构建,校准) 和提高测试有效性.
主要成果:
- 分析AIG方法如何应对项目构建和校准方面的挑战.
- 对AIG对测试有效性的影响的评估.
- 确定各个AIG方法的共同主题和研究差距.
结论:
- AIG,特别是基于变压器的方法,在解决心理测试挑战方面表现有前途.
- 需要进一步的研究来优化AIG的成本效益和有效性.
- 标准化的评估框架对于AIG的发展至关重要.
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