Nothing Special   »   [go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/ucp/ecdecc/doi10.1086-681233.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1086/681233
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: http://dx.doi.org/10.1086/681233
    Download Restriction: Access to the online full text or PDF requires a subscription.

    File URL: https://libkey.io/10.1086/681233?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. 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.
    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. 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.

    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. 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).
    2. 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.
    3. 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).
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. Michael L. Anderson & Fangwen Lu, 2017. "Learning to Manage and Managing to Learn: The Effects of Student Leadership Service," Management Science, INFORMS, vol. 63(10), pages 3246-3261, October.
    10. Daniel Yekutieli, 2008. "Comments on: Control of the false discovery rate under dependence using the bootstrap and subsampling," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 17(3), pages 458-460, November.
    11. Emilio Depetris-Chauvin & Ömer Özak, 2020. "The origins of the division of labor in pre-industrial times," Journal of Economic Growth, Springer, vol. 25(3), pages 297-340, September.
    12. Fernández Guerrico, Sofía, 2021. "The effects of trade-induced worker displacement on health and mortality in Mexico," Journal of Health Economics, Elsevier, vol. 80(C).
    13. Daniel Bjorkegren & Joshua Blumenstock & Omowunmi Folajimi-Senjobi & Jacqueline Mauro & Suraj R. Nair, 2022. "Instant Loans Can Lift Subjective Well-Being: A Randomized Evaluation of Digital Credit in Nigeria," Papers 2202.13540, arXiv.org.
    14. Sally Murray, 2017. "New technologies create opportunities," WIDER Working Paper Series wp-2017-156, World Institute for Development Economic Research (UNU-WIDER).
    15. Cattaneo, Cristina & Grieco, Daniela, 2021. "Turning opposition into support to immigration: The role of narratives," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 785-801.
    16. Blimpo, Moussa P. & Pugatch, Todd, 2021. "Entrepreneurship education and teacher training in Rwanda," Journal of Development Economics, Elsevier, vol. 149(C).
    17. Girum Abebe & A Stefano Caria & Marcel Fafchamps & Paolo Falco & Simon Franklin & Simon Quinn, 2021. "Anonymity or Distance? Job Search and Labour Market Exclusion in a Growing African City [Endogenous Stratification in Randomized Experiments]," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 88(3), pages 1279-1310.
    18. 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.
    19. Hanck, Christoph, 2011. "Now, whose schools are really better (or weaker) than Germany's? A multiple testing approach," Economic Modelling, Elsevier, vol. 28(4), pages 1739-1746, July.
    20. Luca Barbaglia & Sergio Consoli & Sebastiano Manzan, 2024. "Forecasting GDP in Europe with textual data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(2), pages 338-355, March.

    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:ucp:ecdecc:doi:10.1086/681233. 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: Journals Division (email available below). General contact details of provider: https://www.journals.uchicago.edu/EDCC .

    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.