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挖掘来自社会经济地位较低背景学生的数学潜力——利用教学支架提高成绩。

Unlocking math potential in students from lower SES backgrounds - using instructional scaffolds to improve performance.

作者信息

Bach Katharina M, Reinhold Frank, Hofer Sarah I

机构信息

Ludwig-Maximilians-Universität München, Munich, Germany.

Pädagogische Hochschule Freiburg, Freiburg, Germany.

出版信息

NPJ Sci Learn. 2025 Sep 23;10(1):66. doi: 10.1038/s41539-025-00358-7.

Abstract

Socioeconomic status (SES) influences school success. Students with lower SES may face challenges that this study aims to address through instructional scaffolding. To be effective, such support needs to consider students' individual strengths and weaknesses. In this study, 321 sixth-grade students used an e-textbook about fractions. They were randomly assigned to receive either adaptive task difficulty, explanatory feedback, or dynamic visualizations as scaffolds or no scaffolding. We assessed their fraction knowledge at pre- and post-test and eigth cognitive and motivational-affective characteristics. Latent profile analyses identified three profiles. Students with lower SES (below the nationwide average) are commonly associated with a profile that has unfavorable learning prerequisites. A linear mixed model revealed that adaptive task difficulty significantly benefited students in this profile. Implementing adaptive task difficulty in math classes might mitigate challenges associated with lower SES, enhancing educational success and equity by addressing individual prerequisites and learning needs.

摘要

社会经济地位(SES)会影响学业成就。社会经济地位较低的学生可能会面临一些挑战,本研究旨在通过教学支架来解决这些挑战。为了有效,这种支持需要考虑学生的个人优势和劣势。在本研究中,321名六年级学生使用了一本关于分数的电子教科书。他们被随机分配接受适应性任务难度、解释性反馈或动态可视化作为支架,或者不接受任何支架。我们在测试前和测试后评估了他们的分数知识以及八项认知和动机情感特征。潜在剖面分析确定了三种剖面。社会经济地位较低(低于全国平均水平)的学生通常与一种具有不利学习前提条件的剖面相关联。线性混合模型显示,适应性任务难度对这一剖面的学生有显著益处。在数学课中实施适应性任务难度可能会减轻与较低社会经济地位相关的挑战,通过满足个体前提条件和学习需求来提高教育成就和公平性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b6c/12457687/258a8a55445a/41539_2025_358_Fig1_HTML.jpg

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