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Computer assisted learning as extracurricular tutor? Evidence from a randomised experiment in rural boarding schools in Shaanxi

Author

Listed:
  • Fang Lai
  • Linxiu Zhang
  • Xiao Hu
  • Qinghe Qu
  • Yaojiang Shi
  • Yajie Qiao
  • Matthew Boswell
  • Scott Rozelle

Abstract

This paper uses a clustered randomised field experiment to explore the effects of a computer assisted learning (CAL) programme on student academic and non-academic outcomes in poor, rural public schools in China. Our results show that a remedial, game-based CAL programme in math held outside of regular school hours with boarding students in poor rural public schools improved standardised math scores by 0.12 standard deviations. Students from poorer families tended to benefit more from the programme. However, CAL did not have any significant impact on either Chinese language standardised test scores or non-academic outcomes.

Suggested Citation

  • 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.
  • Handle: RePEc:taf:jdevef:v:5:y:2013:i:2:p:208-231
    DOI: 10.1080/19439342.2013.780089
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    References listed on IDEAS

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    1. Wang, Xiaojun & Fleisher, Belton M. & Li, Haizheng & Li, Shi, 2007. "Access to Higher Education and Inequality: The Chinese Experiment," IZA Discussion Papers 2823, Institute of Labor Economics (IZA).
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    Cited by:

    1. Deshpande, Ashwini & Desrochers, Alain & Ksoll, Christopher & Shonchoy, Abu S., 2017. "The Impact of a Computer-based Adult Literacy Program on Literacy and Numeracy: Evidence from India," World Development, Elsevier, vol. 96(C), pages 451-473.
    2. Karthik Muralidharan & Abhijeet Singh & Alejandro J. Ganimian, 2019. "Disrupting Education? Experimental Evidence on Technology-Aided Instruction in India," American Economic Review, American Economic Association, vol. 109(4), pages 1426-1460, April.
    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. Sabrin A. Beg & Adrienne M. Lucas & Waqas Halim & Umar Saif, 2019. "Beyond the Basics: Improving Post-Primary Content Delivery through Classroom Technology," NBER Working Papers 25704, National Bureau of Economic Research, Inc.
    5. Aiqin Wang & Alexis Medina & Renfu Luo & Yaojiang Shi & Ai Yue, 2016. "To Board or Not to Board: Evidence from Nutrition, Health and Education Outcomes of Students in Rural China," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 24(3), pages 52-66, May.
    6. HIGUCHI Yuki & SASAKI Miyuki & NAKAMURO Makiko, 2017. "Impacts of an ICT-assisted Program on Attitudes and English Communicative Abilities: An experiment in a Japanese high school," Discussion papers 17030, Research Institute of Economy, Trade and Industry (RIETI).
    7. Sally Murray, 2017. "New technologies create opportunities," WIDER Working Paper Series 156, World Institute for Development Economic Research (UNU-WIDER).
    8. Marcel Fafchamps & Di Mo, 2018. "Peer effects in computer assisted learning: evidence from a randomized experiment," Experimental Economics, Springer;Economic Science Association, vol. 21(2), pages 355-382, June.

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