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Teaching the Language of Wider Communication, Minority Students, and Overall Educational Performance: Evidence from a Randomized Experiment in Qinghai Province, China

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  • Fang Lai
  • Linxiu Zhang
  • Qinghe Qu
  • Xiao Hu
  • Yaojiang Shi
  • Matthew Boswell
  • Scott Rozelle

Abstract

The education of poor and disadvantaged populations, particularly those from minority subgroups, has been a long-standing challenge to education systems in both developed and developing countries. One reason for the underperformance of ethnic minority students might be low competency in the language of wider communication (LWC). This article uses a randomized field experiment in 57 schools (26 treatment schools and 31 control schools) to examine the impact of an LWC learning program on the overall academic performance (and other outcomes) of students who have limited competency in the LWC. This is a computer assisted learning program that teaches rural ethnic minority students in northwestern China Mandarin skills. Results show that this LWC-enhancing program not only improves the student test scores on the Mandarin language subject by 0.14-0.20 standard deviations but also improves the student math test scores by 0.22-0.23 standard deviations, possibly via improved language competency. It also has some positive effects on student nonacademic outcomes such as self-efficacy in studying Mandarin. Low-performing students benefit more from the program.

Suggested Citation

  • Fang Lai & Linxiu Zhang & Qinghe Qu & Xiao Hu & Yaojiang Shi & Matthew Boswell & Scott Rozelle, 2015. "Teaching the Language of Wider Communication, Minority Students, and Overall Educational Performance: Evidence from a Randomized Experiment in Qinghai Province, China," Economic Development and Cultural Change, University of Chicago Press, vol. 63(4), pages 753-776.
  • Handle: RePEc:ucp:ecdecc:doi:10.1086/681233
    DOI: 10.1086/681233
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    References listed on IDEAS

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    1. Yoav Benjamini & Abba M. Krieger & Daniel Yekutieli, 2006. "Adaptive linear step-up procedures that control the false discovery rate," Biometrika, Biometrika Trust, vol. 93(3), pages 491-507, September.
    2. Fang Lai & Linxiu Zhang & Xiao Hu & Qinghe Qu & Yaojiang Shi & Yajie Qiao & Matthew Boswell & Scott Rozelle, 2013. "Computer assisted learning as extracurricular tutor? Evidence from a randomised experiment in rural boarding schools in Shaanxi," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 5(2), pages 208-231, June.
    3. Di Mo & Linxiu Zhang & Renfu Luo & Qinghe Qu & Weiming Huang & Jiafu Wang & Yajie Qiao & Matthew Boswell & Scott Rozelle, 2014. "Integrating computer-assisted learning into a regular curriculum: evidence from a randomised experiment in rural schools in Shaanxi," Journal of Development Effectiveness, Taylor & Francis Journals, vol. 6(3), pages 300-323, September.
    4. Yunfan Yang & Huan Wang & Linxiu Zhang & Sean Sylvia & Renfu Luo & Yaojiang Shi & Wei Wang & Scott Rozelle, 2015. "The Han-Minority Achievement Gap, Language, and Returns to Schools in Rural China," Economic Development and Cultural Change, University of Chicago Press, vol. 63(2), pages 319-359.
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    Cited by:

    1. Kono, Hisaki & Sawada, Yasuyuki & Shonchoy, Abu S., 2016. "DVD-based distance-learning program for university entrance exams -- RCT experiments in rural Bangladesh," IDE Discussion Papers 580, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    2. Satoshi Shimizutani & Shimpei Taguchi & Hiroyuki Yamada, 2023. "Do TV‐aided model lessons in class improve student performance? Evidence from public primary schools in Papua New Guinea," Australian Economic Papers, Wiley Blackwell, vol. 62(2), pages 349-361, June.
    3. Hisaki Kono & Yasuyuki Sawada & Abu S. Shonchoy, 2016. "DVD-based Distance-learning Program for University Entrance Exams: Experimental Evidence from Rural Bangladesh," CIRJE F-Series CIRJE-F-1027, CIRJE, Faculty of Economics, University of Tokyo.

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