five

Replication data for: Children’s arithmetic skills do not transfer between applied and academic math

收藏
DataCite Commons2025-05-12 更新2025-04-15 收录
下载链接:
https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/VPVH00
下载链接
链接失效反馈
官方服务:
资源简介:
This package contains the dataset and code used in the paper "Children’s arithmetic skills do not transfer between applied and academic math." The package contains data from three studies investigating whether intuitive and school-taught skills build on each other. It contains data on children recruited from both schools and markets in both Kolkata and Delhi, collected between 2015 and 2024. The replication code, written in Stata and R, reproduces the tables and figures from the paper. The abstract of the study is as follows: Many poor children worldwide fail to master school mathematics, and yet some use mental arithmetic extensively outside of school. To investigate whether mathematics skills acquired in real-world settings transfer to the classroom and vice versa, we studied children working in markets in Kolkata and Delhi, India (n = 1,436). Nearly all the children used complex arithmetic effectively at work. They were also proficient in solving hypothetical market problems and verbal math problems that were anchored to concrete contexts. However, they failed to solve arithmetic problems of equal or lesser complexity when presented in the abstract format typically used in school. Children’s performance in market math is not explained by memorization, access to help, lower stress with more familiar formats, or high incentives for correct performance in markets. In contrast, children with no market-selling experience (n = 471), enrolled in nearby schools, showed the opposite pattern: They performed more accurately on simple abstract problems but only 1% could correctly answer an applied market problem that over a third of working children solved (b = 0.35; s.e. = 0.03; 95% CI = (0.30, 0.40); p < 0.001). School children used highly inefficient written calculations and could not combine different operations, arriving at answers too slowly to be useful in real-life or higher mathematics. These findings highlight the importance of educational curricula that bridge the gap between intuitive and formal mathematics.
提供机构:
Harvard Dataverse
创建时间:
2022-04-14
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作