数学,要点,字面思考,以及在决策中没有任何东西的价值
Valerie F Reyna1, Charles J Brainerd1
1Cornell University, Department of Psychology, Human Neuroscience Institute, Ithaca, NY USA.
Nature reviews psychology
|June 26, 2023
概括
了解定量信息至关重要,但许多人却难以掌握实际的数学技能. 专注于数字的定性意义或"本质",可以改善决策和数字认知.
科学领域:
- 认知科学 认知科学
- 心理学 心理学 心理学
- 行为经济学是一种行为经济学.
背景情况:
- 个人面临越来越多的定量信息,但往往缺乏有效解释它的技能.
- 实际数学技能的缺陷阻碍了对风险,概率和财务/医疗结果的评估.
- 认知和元认知因素有助于数字判断和决策中的偏见.
研究的目的:
- 审查对客观和主观数学的研究.
- 探索影响数字感知和偏见的认知和元认知因素.
- 提出要点提取作为一种优越的方法,以背诵数值理解的背诵.
主要方法:
- 整合现有关于计算能力,认知偏见和决策的研究.
- 在数值解释中分析认知和元认知过程.
- 对基于实质性的培训干预措施的证据的审查.
主要成果:
- 背诵数字 (字面表示) 会导致无意义的处理,阻碍真正的理解.
- 精髓提取解释数字的质量和上下文提高信息的利用.
- 基于本质的方法利用直观的数学优势来进行更有效的决策.
结论:
- 提高数字认知需要强调数字的定性意义 (核心),而不仅仅是刻意计算.
- 实质性培训表明可以转移到新的环境中,并促进决策的持久改进.
- 这种方法利用了人类天生的能力来实现更有意义的数字参与.
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