绘制和建模数学概念的语义空间
Samuel Debray1, Stanislas Dehaene2
1Cognitive Neuroimaging Unit, Institut National de la Santé et de la Recherche Médicale, Commissariat à l'Energie Atomique et aux énergies alternatives, Centre National de la Recherche Scientifique, Université Paris-Saclay, NeuroSpin center, Gif-sur-Yvette, France.
Cognition
|October 6, 2024
概括
这项研究利用语义模型和人类判断绘制了数学概念的空间. 教育背景影响理解,揭示了数学知识的结构化地图.
科学领域:
- 认知科学 认知科学
- 计算语言学 计算语言学
- 数学教育教育 数学教育
背景情况:
- 人类在数学中的认知能力在基本概念之外还没有得到充分的探索.
- 现有的研究很少绘制数学思想的更广泛的景观.
研究的目的:
- 为了绘制数学概念的完整空间.
- 评估分布式语义模型 (例如,GloVe) 与人类对数学语义的判断.
- 研究教育对这些语义判断的影响.
主要方法:
- 分析了法语和英语维基百科的数学内容,以提取1000个频繁使用的术语.
- 收集关于熟悉性和语义相似性判断的行为数据.
- 利用基于共发生统计数据的矢量嵌入来建模语义结构.
主要成果:
- 矢量嵌入解释了大约50%的人类相似性判断的差异.
- 参与者的教育水平显著调节了熟悉度和相似度等级.
- 基于教育影响,建立了高级数学概念的部分层次结构.
结论:
- 提出了数学概念的全面地图,详细说明了频率,熟悉性,获取等级和概念间的关系.
- 分布式语义模型提供了数学语义的部分但有价值的表示.
- 教育在塑造数学知识的理解和组织方面发挥着至关重要的作用.
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