通过自动形成性评估促进社会经济平等

Q1 Mathematics
A. Barana, Marina Marchisio Conte
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引用次数: 0

摘要

确保教育公平是可持续发展的一个目标。在阻碍公平的因素中,社会经济地位(SES)对数学学习的影响最大。本文通过提出一种基于采用自动形成性评价(AFA)的方法来解决中学阶段的公平问题。以 299 名八年级学生为样本,对精心设计的带有互动反馈的数学活动进行了为期一学年的实验。由 257 名学生组成的对照组使用传统方法学习相同的课题。部分样本属于社会经济地位较低的群体。通过前后测试对学习成绩进行评估,以了解采用全功能学习法是否对学习产生影响,以及结果是否取决于学生的社会经济地位。结果显示,实验产生了积极影响(效应大小:0.42)。此外,仅限于低社会经济地位组的实验效果很高(0.77)。在治疗组中,实验结果与社会经济地位无关,而在对照组中,实验结果与社会经 济地位有关,这表明全民教育是一种公平的方法,而传统教学则有可能使不平等现象长期存 在。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Promoting socioeconomic equity through automatic formative assessment
Ensuring equity in education is a goal for sustainable development. Among the factors that hinder equity, socioeconomic status (SES) has the highest impact on learning Mathematics. This paper addresses the issue of equity at the secondary school level by proposing an approach based on adopting automatic formative assessment (AFA). Carefully designed mathematical activities with interactive feedback were experimented with a sample of 299 students of grade 8 for a school year. A control group of 257 students learned the same topics using traditional methodologies. Part of the sample belonged to low SES. The learning achievement was assessed through pre-and post-tests to understand if the adoption of AFA impacted learning and whether the results depended on the students’ SES. The results show a positive effect of the experimentation (effect size: 0.42). Moreover, the effect size of the experimentation restricted to the low-SES group is high (0.77). In the treatment group, the results do not depend on SES, while in the control group, they do, suggesting that AFA is an equitable approach while traditional instruction risks perpetuating inequalities.
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来源期刊
Journal on Mathematics Education
Journal on Mathematics Education Mathematics-Mathematics (all)
CiteScore
4.20
自引率
0.00%
发文量
13
审稿时长
10 weeks
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