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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. M. Niaz Asadullah & Anindita Bhattacharjee, 2022. "Digital Divide or Digital Provide? Technology, Time Use, and Learning Loss during COVID-19," Journal of Development Studies, Taylor & Francis Journals, vol. 58(10), pages 1934-1957, October.
    4. Sabrin Beg & Waqas Halim & Adrienne M. Lucas & Umar Saif, 2022. "Engaging Teachers with Technology Increased Achievement, Bypassing Teachers Did Not," American Economic Journal: Economic Policy, American Economic Association, vol. 14(2), pages 61-90, May.
    5. Sally Murray, 2017. "New technologies create opportunities," WIDER Working Paper Series wp-2017-156, World Institute for Development Economic Research (UNU-WIDER).
    6. 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.
    7. 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.
    8. Yue Ma & Robert W. Fairlie & Prashant Loyalka & Scott Rozelle, 2020. "Isolating the “Tech” from EdTech: Experimental Evidence on Computer Assisted Learning in China," NBER Working Papers 26953, National Bureau of Economic Research, Inc.
    9. 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.
    10. 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).
    11. Sally Murray, 2017. "New technologies create opportunities," WIDER Working Paper Series 156, World Institute for Development Economic Research (UNU-WIDER).
    12. Cardim, Joana & Molina-Millán, Teresa & Vicente, Pedro C., 2023. "Can technology improve the classroom experience in primary education? An African experiment on a worldwide program," Journal of Development Economics, Elsevier, vol. 164(C).
    13. Kang Du & Huan Wang & Yue Ma & Hongyu Guan & Scott Rozelle, 2022. "Effect of Eyeglasses on Student Academic Performance: What Matters? Evidence from a Randomized Controlled Trial in China," IJERPH, MDPI, vol. 19(17), pages 1-18, September.
    14. Eric Bettinger & Robert Fairlie & Anastasia Kapuza & Elena Kardanova & Prashant Loyalka & Andrey Zakharov, 2023. "Diminishing Marginal Returns to Computer‐Assisted Learning," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 42(2), pages 552-570, March.
    15. Naik, Gopal & Chitre, Chetan & Bhalla, Manaswini & Rajan, Jothsna, 2020. "Impact of use of technology on student learning outcomes: Evidence from a large-scale experiment in India," World Development, Elsevier, vol. 127(C).
    16. NAKAMURO Makiko & ITO Hirotake, 2020. "The Effect of Computer Assisted Learning on Children's Cognitive and Noncognitive Skills: Evidence from a Randomized Experiment in Cambodia," Discussion papers 20074, Research Institute of Economy, Trade and Industry (RIETI).
    17. Bin Tang & Te-Tien Ting & Chyi-In Wu & Yue Ma & Di Mo & Wei-Ting Hung & Scott Rozelle, 2020. "The Impact of Online Computer Assisted Learning at Home for Disadvantaged Children in Taiwan: Evidence from a Randomized Experiment," Sustainability, MDPI, vol. 12(23), pages 1-16, December.
    18. 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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