Suppr超能文献

早期数学能力的结构:来自多因素模型的证据。

The structure of early numeracy: Evidence from multi-factorial models.

机构信息

Centre for Mathematical Cognition, School of Science, Loughborough University, UK.

Centre for Mathematical Cognition, School of Science, Loughborough University, UK; Leibniz-Institut fuer Wissensmedien, Tuebingen, Germany; LEAD Graduate School and Research Network, University of Tuebingen, Germany; Individual Development and Adaptive Education for Children at Risk Centre, Frankfurt am Main, Germany.

出版信息

Trends Neurosci Educ. 2022 Mar;26:100171. doi: 10.1016/j.tine.2022.100171. Epub 2022 Jan 23.

Abstract

BACKGROUND

Despite the relevance of basic numerical skills to later mathematical outcomes, there remains little consensus on which skills comprise the construct of early numeracy.

PROCEDURE

Here, we evaluate recent studies that investigated this construct using various approaches.

MAIN FINDINGS

Findings from these studies indicated broad consensus in considering skills such as counting, number relations, and basic arithmetic, as central aspects of early numeracy. However, both the number and contents of identified factors varied considerably across studies.

CONCLUSIONS

Although this review substantiated the critical relevance of certain basic numerical skills, it also highlights a need for future research to evaluate the structure of early numeracy in a more systematic and coordinated way to increase comparability and coherence across studies.

摘要

背景

尽管基本的数字技能与后期的数学成果密切相关,但对于早期计算能力包含哪些技能,仍未达成共识。

过程

在这里,我们评估了最近使用各种方法研究这一概念的研究。

主要发现

这些研究的结果表明,人们普遍认为数数、数字关系和基本算术等技能是早期计算能力的核心方面。然而,在不同的研究中,确定的因素的数量和内容都有很大的差异。

结论

尽管这篇综述证实了某些基本数字技能的重要性,但它也强调了未来研究需要以更系统和协调的方式评估早期计算能力的结构,以提高研究之间的可比性和一致性。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验