Does computer-assisted learning improve learning outcomes? Evidence from a randomized experiment in migrant schools in Beijing

Fang Lai, Renfu Luo, Linxiu Zhang, Xinzhe Huang, Scott Rozelle

Economics of Education Review · 2015 · 114 citations · 27 references

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Abstract

The education of the disadvantaged population has been a long-standing challenge to education systems in both developed and developing countries. Although computer-assisted learning (CAL) has been considered one alternative to improve learning outcomes in a cost-effective way, the empirical evidence of its impacts on improving learning outcomes is mixed. This paper uses a randomized field experiment to explore the effects of CAL on student academic and non-academic outcomes for students in migrant schools in Beijing. Our results show that a remedial CAL program held out of regular school hours improved the student standardized math scores by 0.15 standard deviations and most of the program effect took place within 2 months after the start of the program. Students with less-educated parents benefited more from the program. Moreover, CAL also significantly increased the students’ interest in learning.

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27