学习人工数字符号,并提供序数和数量信息
Hanna Weiers1, Matthew Inglis1, Camilla Gilmore1
1Centre for Mathematical Cognition, Loughborough University, Loughborough LE11 3TU, UK.
Royal Society open science
|June 9, 2023
概括
成年人通过大小或顺序训练有效地学习了新的数字符号. 结合两种类型的培训,增强了符号学习和数值判断能力,这表明结合方法是理解数值认知的关键.
科学领域:
- 认知科学 认知科学
- 数学的认知能力数学认知能力
- 心理学 心理学 心理学
背景情况:
- 了解数字符号如何获得意义是数学认知研究的核心.
- 现有的理论提出,符号从大小信息或顺序关系中获得意义.
研究的目的:
- 调查大小和顺序信息对学习新型数字符号的影响.
- 为了确定单独的大小或顺序训练是否足以用于符号获取和含义推断.
主要方法:
- 在两个实验中采用了人工符号学习范式.
- 参与者接受了培训,重点关注新型符号的数量或顺序属性.
- 通过符号学习,意义推断和映射到非象征性量来评估表现.
主要成果:
- 大小和顺序训练都使成年人能够学习新的符号并推断它们的含义.
- 参与者可以准确地判断和将新型符号映射到非象征性数量 (点数组).
- 将一个符号子集的大小信息与整个集合的顺序信息相结合,显示了增强的学习和判断能力.
结论:
- 大小和顺序信息都足以赋予数字符号的意义.
- 综合方法,整合大小和顺序信息,为数字认知中的符号学习提供了一个可信和有效的模型.
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