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基于2019年国际数学和科学趋势研究(TIMSS)四年级数据的认知诊断模型的学习轨迹国际比较研究。

International comparative study of learning trajectories based on TIMSS 2019 G4 data on cognitive diagnostic models.

作者信息

Zhu Zhemin

机构信息

Beihua University, Jilin, China.

出版信息

Front Psychol. 2023 Oct 27;14:1241656. doi: 10.3389/fpsyg.2023.1241656. eCollection 2023.

DOI:10.3389/fpsyg.2023.1241656
PMID:37965657
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10641406/
Abstract

Learning trajectory describes the student's learning progress or steps in one area through which teaching and learning can be linked. The cognitive diagnostic model (CDM) is an emerging evaluation theory in education measures. Researchers can determine students' mastery of fine-grained knowledge points by describing the learning trajectory based on CDM. The present study is based on the Trends in International Mathematics and Science Study (TIMSS) 2019, particularly, 21 mathematical items in the fourth grade. It analyzes the response data of 2,854 students from 17 countries from 10 attributes based on CDM. This study explores students' different learning trajectories in the content field by analyzing the relationships between knowledge states and attribute patterns. The study found that the 17 countries differ in learning trajectories but have commonalities. The learning starting points of 17 countries can be roughly divided into two categories and geometry attribute and fractions and decimals attribute are the last two attributes to master.

摘要

学习轨迹描述了学生在一个领域的学习进展或步骤,通过它可以将教学联系起来。认知诊断模型(CDM)是教育测量中一种新兴的评价理论。研究人员可以通过基于CDM描述学习轨迹来确定学生对细粒度知识点的掌握情况。本研究基于2019年国际数学和科学趋势研究(TIMSS),特别是四年级的21个数学项目。它基于CDM分析了来自17个国家的2854名学生在10个属性上的回答数据。本研究通过分析知识状态与属性模式之间的关系,探索了学生在内容领域的不同学习轨迹。研究发现,17个国家在学习轨迹上存在差异,但也有共性。17个国家的学习起点大致可分为两类,几何属性和分数与小数属性是最后掌握的两个属性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abad/10641406/1c4fdca38b68/fpsyg-14-1241656-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abad/10641406/06fedd8c0fd3/fpsyg-14-1241656-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abad/10641406/901846c563bf/fpsyg-14-1241656-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abad/10641406/0b9e64ba89de/fpsyg-14-1241656-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abad/10641406/1c4fdca38b68/fpsyg-14-1241656-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abad/10641406/06fedd8c0fd3/fpsyg-14-1241656-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abad/10641406/901846c563bf/fpsyg-14-1241656-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abad/10641406/0b9e64ba89de/fpsyg-14-1241656-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/abad/10641406/1c4fdca38b68/fpsyg-14-1241656-g004.jpg

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本文引用的文献

1
The influence of student factors on students' achievement in the Trends in International Mathematics and Science Study in Abu Dhabi Emirate Schools.学生因素对阿布扎比酋长国学校国际数学和科学研究趋势中学生成绩的影响。
Front Psychol. 2023 May 10;14:1168032. doi: 10.3389/fpsyg.2023.1168032. eCollection 2023.
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International Comparative Study of Statistics Learning Trajectories Based on PISA Data on Cognitive Diagnostic Models.基于国际学生评估项目(PISA)认知诊断模型数据的统计学习轨迹国际比较研究
Front Psychol. 2021 Jul 20;12:657858. doi: 10.3389/fpsyg.2021.657858. eCollection 2021.
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International Comparative Study on PISA Mathematics Achievement Test Based on Cognitive Diagnostic Models.
基于认知诊断模型的国际学生评估项目数学成绩测试比较研究
Front Psychol. 2020 Sep 9;11:2230. doi: 10.3389/fpsyg.2020.02230. eCollection 2020.
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