101. More is not always better: evidence from a randomised experiment of computer-assisted learning in rural minority schools in Qinghai
- Author
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Yaojiang Shi, Scott Rozelle, Linxiu Zhang, Chengfang Liu, Yu Bai, Fang Chang, and Fang Lai
- Subjects
Economic growth ,Medical education ,Random assignment ,050204 development studies ,education ,05 social sciences ,Geography, Planning and Development ,Developing country ,Development ,Affect (psychology) ,Mandarin Chinese ,language.human_language ,Subject matter ,0502 economics and business ,language ,Computer assisted learning ,050207 economics ,Disadvantaged populations ,Beneficial effects - Abstract
The education of poor and disadvantaged populations has been a long-standing challenge for education systems in both developed and developing countries. Drawing on data from two randomised controlled trials involving two cohorts of grade 3 students in poor rural minority schools in China’s Qinghai province, this paper explores the effects of computer-assisted learning (CAL) on student academic and non-academic outcomes for underserved student populations, and how interactions between the CAL programme and existing classroom resources affect the programme effectiveness. Results show that CAL could have significant beneficial effects on both student academic and non-academic outcomes. However, when the scope of the programme expanded to include a second subject (in this case, math – which was added on top of the Mandarin subject matter that was the focus of the first phase of the programme), some schools had to use regular school hours for CAL sessions. As a result, the phase II programme did not ge...
- Published
- 2016