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来源类型Working Paper
规范类型报告
DOI10.3386/w23195
来源IDWorking Paper 23195
Peer Effects in Computer Assisted Learning: Evidence from a Randomized Experiment
Marcel Fafchamps; Di Mo
发表日期2017-02-27
出版年2017
语种英语
摘要We conduct a large scale RCT to investigate peer effects in computer assisted learning (CAL). Identification of peer effects relies on three levels of randomization. It is already known that CAL improves math test scores in Chinese rural schools. We find that paired treatment improves the beneficial effects of treatment for poor performers when they are paired with high performers. We test whether CAL treatment reduces the dispersion in math scores relative to controls, and we find statistically significant evidence that it does. We also demonstrate that the beneficial effects of CAL could potentially be strengthened, both in terms of average effect and in terms of reduced dispersion, if weak students are systematically paired with strong students during treatment. To our knowledge, this is the first time that a school intervention has been identified in which peer effects unambiguously help weak students catch up with the rest of the class without imposing any learning cost on other students.
主题Health, Education, and Welfare ; Education ; Development and Growth ; Development
URLhttps://www.nber.org/papers/w23195
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/580869
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GB/T 7714
Marcel Fafchamps,Di Mo. Peer Effects in Computer Assisted Learning: Evidence from a Randomized Experiment. 2017.
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