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-  2017 

小学生学业负担与数学成绩的关系研究:基于潜在剖面分析

Keywords: Latent profile analysis Academic burden Mathematics achievement

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Abstract:

摘要: 应用潜在剖面分析方法对广州市65所学校的六年级学生数学成绩进行潜在分类,并分析学业负担对不同类型的数学成绩的影响。结果表明,学生样本按数学成绩可以分为三个类别:数学成绩良好组、数学成绩中等组、数学成绩较差组。此外,学业负担的轻重对不同数学成绩层次的学生会产生不同程度的影响。
Abstract: When it comes to the problem of primary school students' academic burden, a heated discussion has come up among the general public.The topic is not only related to the physical and mental health of pupils, but also the quality of students we cultivate. Thus, the exploration of the relationship between academic burden and academic achievement is necessary. In elementary school, mathematics is a subject with distinct characteristics, the mathematics achievement can reflect the student's number sense, logic, cognitive development level. Previous studies found that primary school students had mathematics learning burden that is heavy than other disciplines. Therefore, further explore the relationship between the primary school students' academic burden and the mathematics achievement is needed. There are many outstanding achievements in the study of the relationship between the students' academic burden and the mathematics achievement until now, but there are still some problems.First, no in-depth analysis of data. The data analysis and conclusions of the empirical study are not deep and detailed, and not carry out further study. Second, ignoring the qualitative differences between the students. When classifying the students, the researchers tend to divide the students into groups according to their academic achievements or grades. However, Faced with the same academic tasks, different students' academic burden is different, ignoring the differences in the students' groups make the solution to the learning burden problem have little effect. Thus, this study aim to explore the influence of academic burden on different classification of primary school students' math achievement. This study use latent profile analysis method and STEP-3 method analysis the data in detail, define different categories of students, clear the relationship between different types of students' mathematics achievement, and explore the impact of academic burden on different types of students.The data come from the Guangzhou sunshine education quality evaluation project in 2015, the project were selected sixth-grade students from 65 schools in Guangzhou, and each sixth grade class were randomly selected from each school. The program combined pencil-and-paper test method and on-line test method to evaluate the primary school students’ academic achievement and academic burden.The software used in the study was LatentGOLD5.1.

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