IDEAS home Printed from https://ideas.repec.org/a/taf/jdevef/v5y2013i2p208-231.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/19439342.2013.780089
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/19439342.2013.780089?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. Lafortune, Jeanne & Pugatch, Todd & Tessada, José & Ubfal, Diego, 2024. "Can gamified online training make high school students more entrepreneurial? Experimental evidence from Rwanda," Economics of Education Review, Elsevier, vol. 101(C).
    19. 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.
    20. Cueto, Santiago & Beuermann, Diether & Cristia, Julian P. & Malamud, Ofer & Pardo, Francisco, 2024. "Laptops in the Long-Run: Evidence from the One Laptop per Child Program in Rural Peru," IDB Publications (Working Papers) 13786, Inter-American Development Bank.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kyui, Natalia, 2016. "Expansion of higher education, employment and wages: Evidence from the Russian Transition," Labour Economics, Elsevier, vol. 39(C), pages 68-87.
    2. Pedro Carneiro & Michael Lokshin & Nithin Umapathi, 2017. "Average and Marginal Returns to Upper Secondary Schooling in Indonesia," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(1), pages 16-36, January.
    3. repec:amu:wpaper:2012-16 is not listed on IDEAS
    4. Wang, Le, 2012. "Economic transition and college premium in urban China," China Economic Review, Elsevier, vol. 23(2), pages 238-252.
    5. Shihui Ma, 2021. "Diverging College Premiums: A General Equilibrium Framework on China's College Expansion Policy," Annals of Economics and Finance, Society for AEF, vol. 22(2), pages 289-315, November.
    6. Kleiman-Weiner, Max & Luo, Renfu & Zhang, Linxiu & Shi, Yaojiang & Medina, Alexis & Rozelle, Scott, 2013. "Eggs versus chewable vitamins: Which intervention can increase nutrition and test scores in rural China?," China Economic Review, Elsevier, vol. 24(C), pages 165-176.
    7. James J. Heckman & Junjian Yi, 2012. "Human Capital, Economic Growth, and Inequality in China," NBER Working Papers 18100, National Bureau of Economic Research, Inc.
    8. Lili Kang & Fei Peng, 2018. "Economic Reform and Productivity Convergence in China," Arthaniti: Journal of Economic Theory and Practice, , vol. 17(1), pages 50-82, June.
    9. Dongshu Ou & Yuna Hou, 2019. "Bigger Pie, Bigger Slice? The Impact of Higher Education Expansion on Educational Opportunity in China," Research in Higher Education, Springer;Association for Institutional Research, vol. 60(3), pages 358-391, May.
    10. Yu, Nannan & Yu, Bo & de Jong, Martin & Storm, Servaas, 2015. "Does inequality in educational attainment matter for China's economic growth?," International Journal of Educational Development, Elsevier, vol. 41(C), pages 164-173.
    11. Le Wang, 2013. "How Does Education Affect the Earnings Distribution in Urban China?," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 75(3), pages 435-454, June.
    12. David Mayston & Juan Yang, 2012. "Education, Risk and Efficiency in Human Capital Investment," Discussion Papers 12/15, Department of Economics, University of York.
    13. Haizheng Li, 2010. "Higher Education in China: Complement or Competition to US Universities?," NBER Chapters, in: American Universities in a Global Market, pages 269-304, National Bureau of Economic Research, Inc.
    14. M Niaz Asadullah & Saizi Xiao, 2019. "Labor Market Returns to Education and English Language Skills in the People's Republic of China: An Update," Asian Development Review, MIT Press, vol. 36(1), pages 80-111, March.
    15. Ou, Dongshu & Zhao, Zhong, 2016. "Higher Education Expansion and Labor Market Outcomes for Young College Graduates," IZA Discussion Papers 9643, Institute of Labor Economics (IZA).
    16. Li, Shi & Xing, Chunbing, 2010. "China's Higher Education Expansion and its Labor Market Consequences," IZA Discussion Papers 4974, Institute of Labor Economics (IZA).
    17. Wang, Le, 2013. "Estimating returns to education when the IV sample is selective," Labour Economics, Elsevier, vol. 21(C), pages 74-85.
    18. Liu, Qian, 2012. "Unemployment and labor force participation in urban China," China Economic Review, Elsevier, vol. 23(1), pages 18-33.
    19. Renfu Luo & Yaojiang Shi & Linxiu Zhang & Chengfang Liu & Scott Rozelle & Brian Sharbono & Ai Yue & Qiran Zhao & Reynaldo Martorell, 2012. "Nutrition and Educational Performance in Rural China's Elementary Schools: Results of a Randomized Control Trial in Shaanxi Province," Economic Development and Cultural Change, University of Chicago Press, vol. 60(4), pages 735-772.
    20. Cui, Yuling & Nahm, Daehoon & Tani, Massimiliano, 2013. "Earnings Differentials and Returns to Education in China, 1995-2008," IZA Discussion Papers 7349, Institute of Labor Economics (IZA).
    21. Chen, Yi & Jiang, Sheng & Zhou, Li-An, 2020. "Estimating returns to education in urban China: Evidence from a natural experiment in schooling reform," Journal of Comparative Economics, Elsevier, vol. 48(1), pages 218-233.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:jdevef:v:5:y:2013:i:2:p:208-231. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RJDE20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.