The Latent Growth Model of the Korean Language and Mathematics Academic Performance in Children aged 6-12

Author:

Lee Eun JuORCID

Abstract

Objectives: This study is a foundation for preparing learning support measures for children with developmental language disabilities through research on the academic relationship development of the Korean language and mathematics. The degree and developmental relationship of Korean language and mathematics academic performance according to age from kindergarten before entering elementary school to 4th grade were examined. Methods: Latent Growth Model Analysis (LGMA) was conducted on the results of the evaluation of Korean language and mathematics academic performance from 2014 to 2018 (4th grade in elementary school). Results: Korean language and mathematics developed with significant influence on each other. It was confirmed that the basic ability to perform the Korean language has a significant effect on both the basic ability and the change in the academic ability in mathematics. It is a fact that Korean language ability is the basis of mathematical academic ability through the implementation of the mathematical sentence system. In addition, although Korean language ability and mathematics influence each other, in the case of mathematics, the cognitive ability of individual children played a more significant role compared to the Korean language in the academic performance results. Conclusion: Korean language ability and mathematics developed with a significant influence on each other. It was confirmed through the Latent Growth Model that Korean language ability has a significant effect on the basic ability and the change of mathematic academic performance.

Publisher

Korean Academy of Speech-Language Pathology and Audiology

Subject

Speech and Hearing,Linguistics and Language,Communication

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3