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初中生数学成绩及个体因素影响机制的性别差异OA北大核心CSTPCD

Gender Differences in Mathematics Achievement of Junior High School Students and the Influencing Mechanism of Individual Factors

中文摘要英文摘要

基于S市初中生学业质量监测数据,深入探究当前学校教育条件下男女生在数学学习上的差异与原因.研究结果表明:整体而言,小学、初中阶段女生在数学成绩上落后于男生,初二结束时男女生数学成绩差距比小学毕业时小;4~42分位点之间的女生相较于同分位点男生,在初中阶段的数学学习中取得了更好的发展;相较于女生,男生在难度大的题目中学业优势更明显;低分组女生的数学成绩显著高于男生,中、高分组女生的数学成绩显著低于男生;低分组女生更占优势的变量对数学成绩的共同影响力大于男生更占优势的变量的共同影响力,解释了低分组女生成绩高于男生的部分原因等.

Based on the monitoring data of the academic quality of junior high school students in S city,this study conducts an in-depth exploration of the differences and reasons between male and female students in mathematics learning under the current school educational conditions.The results of the study show that:overall,girls in primary and junior high schools lag behind boys in mathematics achievement,and the gap between boys and girls at the end of the second year of junior high school is smaller than that at the end of primary school graduation;compared with boys,girls at the 4~42 quantile have achieved better development in junior high school;compared with girls,boys achieve better academic performance in difficult topics;girls in the lower group have significantly higher mathematics scores than boys,but girls in the middle and high groups have significantly lower mathematics scores than boys.The co-influence of the dominant variables(study input,etc.)for girls in the lower group on mathematics performance is greater than the co-influence of the dominant variables(interest in mathematics learning,etc.)for boys,which can explain partially that the girls have higher scores than boys;the co-influence of the dominant variables(study input,etc.)for girls in the middle and high groups is smaller than the co-influence of the dominant variables(interest in mathematics learning,etc.)for boys,which can explain partially that the girls have lower scores than boys.

罗强;于飞飞

苏州市教育质量监测中心,江苏 苏州 215004

教育学

性别差异数学成绩个体因素学业质量监测

gender differencemathematics achievementindividual factorsacademic quality monitoring

《数学教育学报》 2024 (002)

27-33,97 / 8

江苏省教育科学"十三五"规划重点自筹课题——基于监测大数据的区域教育质量提升路径研究(E-b/2020/16)

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