验证一种强制选择方法,以引起推理质量判断
Alexandru Marcoci1, Margaret E Webb2, Luke Rowe3
1Centre for the Study of Existential Risk, University of Cambridge, 16 Mill Lane, Cambridge, CB2 1SB, UK. am3159@cam.ac.uk.
Behavior research methods
|October 13, 2023
概括
强制选择比较有效地评估书面论证的质量,新手和专家准确地识别出更好的推理. 该方法为大规模的质量评估提供了有效,可靠和高效的方法.
科学领域:
- 认知心理学 认知心理学
- 教育测量教育的测量
- 人工智能的人工智能
背景情况:
- 评估书面论据的质量至关重要,但往往是主观的.
- 传统的方法可能耗时,需要专家评级者.
- 开发可扩展和可靠的评估工具是一个持续的挑战.
研究的目的:
- 调查强制选择比较的标准有效性,以评估论证质量.
- 确定这种评估方法的可靠性和效率,适用于新手和专家.
- 探索优化评估过程和利用语言特征的方法.
主要方法:
- 使用强制选择设计进行了两项研究,参与者比较了论点.
- 计算了评级者之间的可靠性,以评估评级者之间的协议.
- 使用过渡性和AVL树方法提高了效率;回归模型分析了语言特征.
主要成果:
- 新手和专家准确地确定了支持更准确解决方案的论点 (分别为62.2%和74.4%).
- 参与者正确地识别了来自较大团队的论点 (82%为新手,85%为专家) 具有很高的互评级可靠性.
- 效率方法减少了判断数量,精度损失最小;回归模型显示与客观得分的高相关性.
结论:
- 强迫选择比较提供了一种有效可靠的方法来评估推理质量,即使对于新手来说也是如此.
- 该方法对于大批量的评估是高效和可扩展的.
- 利用过渡性和语言分析为论证质量评估提供了进一步的优化.
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