新疆少数民族幼儿国家通用语言词汇能力发展的预测因素研究
On the Predictors of the Vocabulary Development of the National Common Language of Young Minority Children in Xinjiang
李志忠 1何瑾瑜1
作者信息
- 1. 新疆师范大学中国语言文学学院 新疆 乌鲁木齐 830017
- 折叠
摘要
学前阶段是儿童语言能力发展的关键时期.这一阶段幼儿的词汇能力是义务教育阶段语言能力发展的基础和前提.本文对新疆少数民族幼儿国家通用语言词汇能力状况及其发展的预测因素展开实证研究,为引导幼儿词汇能力发展提供参考建议.研究发现:新疆少数民族幼儿的词汇表达能力优于理解能力;小班和中班的幼儿词汇能力发展速度较快;词汇习得遵循儿童语言发展的顺序性特征,但精确性不足;幼儿年龄段、师幼互动质量、母亲学历、父母职业、家庭主要看护人、电子媒介使用频次、家庭月收入等因素能有效预测少数民族幼儿的国家通用语言词汇能力.
Abstract
The pre-school stage is a key period for the development of national language competence among children from ethnic minorities.The vocabulary competence of young children at this stage is the foundation and prerequisite for the development of competence in the whole compulsory education stage at a later stage.In this paper,we conduct an empirical study on the state of national common language vocabulary competence of Xinjiang ethnic minority children and the predictors of their development in order to enhance the effectiveness of guidance for young children's vocabulary competence development.The results have shown that Xinjiang ethnic minority children's vocabulary expression ability is better than comprehension ability.Children's vocabulary ability develops at a faster rate in the primary and intermediate classes.Vocabulary acquisition follows the sequential characteristics of children's language development,but is not precise enough.The factors of children's age group,the quality of teacher-child interactions,the educational level of mothers,the occupations of parents,the primary family caregivers,the frequency of use of electronic media,and the monthly family income are effective predictors of the national common language vocabulary competence of ethnic minority children.
关键词
少数民族幼儿/国家通用语言测试/词汇能力/预测因素Key words
young children of ethnic minorities in Xinjiang/vocabulary proficiency in the national common language/vocabulary competence/predictors引用本文复制引用
基金项目
国家社科基金重点项目(22AZD151)
新疆师范大学博士研究生科研创新项目(XJ107622214)
国家社科基金一般项目(22BYY065)
新疆师范大学智库重点项目(ZK202252A)
出版年
2024
NETL
NSTL
万方数据