Good or bad? Understanding the effects over time of multigrading on child achievement

IF 1.8 3区 经济学 Q2 ECONOMICS Economics of Education Review Pub Date : 2023-10-01 DOI:10.1016/j.econedurev.2023.102442
Gian Paolo Barbetta , Patrick Chuard-Keller , Giuseppe Sorrenti , Gilberto Turati
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Abstract

Multigrading represents the practice of mixing children of different ages in the same classroom. This paper examines the effect of attending a multigrade class in Grade 2 on students’ academic achievement in Grades 2, 5, and 8, respectively, considering Italy as a case study. To address the issue of endogeneity of multigrading (and class size), we adopt an IV identification strategy based on a law that disciplines class composition. We show that multigrading has a positive (16 percent of a standard deviation) short-term effect on academic achievements. However, this effect diminishes over time and becomes negative (-10 percent of a standard deviation) if students spend several years in a multigrade class. Mechanism analysis indicates the fundamental role of teachers and suggests that the negative long-term effect of multigrading is not statistically different from zero when multigrade classes are taught by more experienced teachers. These findings, based on longitudinal data, reconcile contrasting results in the literature, which are based on cross-sectional data and on the short-term effects of multigrading.

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好还是坏?理解随着时间的推移,多重评分对儿童成就的影响
混合分级是指把不同年龄的孩子混在同一个教室里。本文以意大利为例,考察了在二年级参加多年级班对学生在二年级、五年级和八年级学业成绩的影响。为了解决多重评分(和班级规模)的内生性问题,我们采用了一种基于学科班级组成规律的IV识别策略。我们表明,多重评分对学业成绩有积极的短期影响(标准偏差的16%)。然而,这种影响随着时间的推移而减弱,如果学生在一个多年级的班级里呆上几年,就会变成负值(- 10%的标准差)。机制分析表明教师的基础性作用,并表明当多年级班由更有经验的教师授课时,多年级班的长期负面影响与零没有统计学差异。这些基于纵向数据的发现,调和了文献中基于横截面数据和多重分级的短期影响的对比结果。
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来源期刊
CiteScore
3.30
自引率
4.50%
发文量
85
审稿时长
61 days
期刊介绍: Economics of Education Review publishes research on education policy and finance, human capital production and acquisition, and the returns to human capital. We accept empirical, methodological and theoretical contributions, but the main focus of Economics of Education Review is on applied studies that employ micro data and clear identification strategies. Our goal is to publish innovative, cutting-edge research on the economics of education that is of interest to academics, policymakers and the public. Starting with papers submitted March 1, 2014, the review process for articles submitted to the Economics of Education Review will no longer be double blind. Authors are requested to include a title page with authors'' names and affiliation. Reviewers will continue to be anonymous.
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