IDEAS home Printed from https://ideas.repec.org/a/tpr/adbadr/v37y2020i2p100-133.html
   My bibliography  Save this article

Impacts of an Information and Communication Technology-Assisted Program on Attitudes and English Communication Abilities: An Experiment in a Japanese High School

Author

Listed:
  • Yuki Higuchi

    (Faculty of Economics, Sophia University, Japan. E-mail:)

  • Miyuki Sasaki

    (Faculty of Education and Integrated Arts and Sciences, Waseda University, Japan. E-mail:)

  • Makiko Nakamuro

    (Faculty of Policy Management, Keio University, Japan. E-mail:)

Abstract

We conducted a randomized experiment targeting 322 Japanese high school students to examine the impacts of a newly developed English-language learning program. The treated students were offered an opportunity to communicate for 25 minutes with English-speaking Filipino teachers via Skype several times a week over a 5-month period as an extracurricular activity. The results show that the Skype program increased the interest of the treated students in an international vocation and in foreign affairs. However, the students did not improve their English communication abilities, as measured by standardized tests, probably because of the program's low utilization rate. Further investigation showed that the utilization rate was particularly low among students demonstrating a tendency to procrastinate. These results suggest the importance of maintaining students’ motivation to keep using such information and communication technology-assisted learning programs if they are not already incorporated into the existing curriculum. Having procrastinators self-regulate may be especially crucial.

Suggested Citation

  • Yuki Higuchi & Miyuki Sasaki & Makiko Nakamuro, 2020. "Impacts of an Information and Communication Technology-Assisted Program on Attitudes and English Communication Abilities: An Experiment in a Japanese High School," Asian Development Review, MIT Press, vol. 37(2), pages 100-133, September.
  • Handle: RePEc:tpr:adbadr:v:37:y:2020:i:2:p:100-133
    as

    Download full text from publisher

    File URL: http://www.mitpressjournals.org/doi/pdf/10.1162/adev_a_00151
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Marcelo J. Moreira & Brian P. Poi, 2003. "Implementing tests with correct size in the simultaneous equations model," Stata Journal, StataCorp LP, vol. 3(1), pages 57-70, March.
    2. Marcelo J. Moreira, 2003. "A Conditional Likelihood Ratio Test for Structural Models," Econometrica, Econometric Society, vol. 71(4), pages 1027-1048, July.
    3. Joshua D. Angrist & Jörn-Steffen Pischke, 2009. "Mostly Harmless Econometrics: An Empiricist's Companion," Economics Books, Princeton University Press, edition 1, number 8769.
    4. A. Colin Cameron & Jonah B. Gelbach & Douglas L. Miller, 2008. "Bootstrap-Based Improvements for Inference with Clustered Errors," The Review of Economics and Statistics, MIT Press, vol. 90(3), pages 414-427, August.
    5. Imbens, Guido W & Angrist, Joshua D, 1994. "Identification and Estimation of Local Average Treatment Effects," Econometrica, Econometric Society, vol. 62(2), pages 467-475, March.
    6. David Roodman & James G. MacKinnon & Morten Ørregaard Nielsen & Matthew D. Webb, 2019. "Fast and wild: Bootstrap inference in Stata using boottest," Stata Journal, StataCorp LP, vol. 19(1), pages 4-60, March.
    7. Glewwe, Paul & Kremer, Michael & Moulin, Sylvie & Zitzewitz, Eric, 2004. "Retrospective vs. prospective analyses of school inputs: the case of flip charts in Kenya," Journal of Development Economics, Elsevier, vol. 74(1), pages 251-268, June.
    8. Kawaguchi, Daiji, 2016. "Fewer school days, more inequality," Journal of the Japanese and International Economies, Elsevier, vol. 39(C), pages 35-52.
    9. Bulman, G. & Fairlie, R.W., 2016. "Technology and Education," Handbook of the Economics of Education,, Elsevier.
    10. Guido W. Imbens & Jeffrey M. Wooldridge, 2009. "Recent Developments in the Econometrics of Program Evaluation," Journal of Economic Literature, American Economic Association, vol. 47(1), pages 5-86, March.
    11. McKenzie, David, 2012. "Beyond baseline and follow-up: The case for more T in experiments," Journal of Development Economics, Elsevier, vol. 99(2), pages 210-221.
    12. Onji, Kazuki & Kikuchi, Rina, 2011. "Procrastination, prompts, and preferences: Evidence from daily records of self-directed learning activities," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(6), pages 929-941.
    Full references (including those not matched with items on IDEAS)

    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. Ellis, Jimmy R. & Gershenson, Seth, 2016. "LATE for the Meeting: Gender, Peer Advising, and College Success," IZA Discussion Papers 9956, Institute of Labor Economics (IZA).
    2. Imbens, Guido W., 2014. "Instrumental Variables: An Econometrician's Perspective," IZA Discussion Papers 8048, Institute of Labor Economics (IZA).
    3. Raza, Wameq A. & Van de Poel, Ellen & Van Ourti, Tom, 2018. "Impact and spill-over effects of an asset transfer program on child undernutrition: Evidence from a randomized control trial in Bangladesh," Journal of Health Economics, Elsevier, vol. 62(C), pages 105-120.
    4. Jeffrey D. Michler & Anna Josephson, 2022. "Recent developments in inference: practicalities for applied economics," Chapters, in: A Modern Guide to Food Economics, chapter 11, pages 235-268, Edward Elgar Publishing.
    5. Masakure, Oliver, 2016. "The effect of employee loyalty on wages," Journal of Economic Psychology, Elsevier, vol. 56(C), pages 274-298.
    6. Sant’Anna, Pedro H.C. & Zhao, Jun, 2020. "Doubly robust difference-in-differences estimators," Journal of Econometrics, Elsevier, vol. 219(1), pages 101-122.
    7. Winters, John V. & Cai, Zhengyu & Maguire, Karen & Sengupta, Shruti, 2019. "Do Workers Benefit from Resource Booms in Their Home State? Evidence from the Fracking Era," GLO Discussion Paper Series 400, Global Labor Organization (GLO).
    8. Maria Rosaria Alfano & Anna Laura Baraldi & Claudia Cantabene, 2023. "Eppur si muove: an evaluation of museum policy reform in Italy," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 47(1), pages 97-131, March.
    9. Wenjie Wang & Yichong Zhang, 2021. "Wild Bootstrap for Instrumental Variables Regressions with Weak and Few Clusters," Papers 2108.13707, arXiv.org, revised Jan 2024.
    10. Sloczynski, Tymon, 2018. "A General Weighted Average Representation of the Ordinary and Two-Stage Least Squares Estimands," IZA Discussion Papers 11866, Institute of Labor Economics (IZA).
    11. James G. MacKinnon, 2019. "How cluster‐robust inference is changing applied econometrics," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 52(3), pages 851-881, August.
    12. Ellis, Jimmy R. & Gershenson, Seth, 2020. "Gender, peer advising, and college success," Labour Economics, Elsevier, vol. 62(C).
    13. Luís Felipe Batista de Oliveira & Rafael Terra, 2016. "Impact of school day extension on educational outcomes: evidence from Mais Educação in Brazil," One Pager 329, International Policy Centre for Inclusive Growth.
    14. Jay Pan & Xiaoyan Lei & Gordon G. Liu, 2016. "Health Insurance and Health Status: Exploring the Causal Effect from a Policy Intervention," Health Economics, John Wiley & Sons, Ltd., vol. 25(11), pages 1389-1402, November.
    15. Bartlett, Robert P. & McCrary, Justin, 2019. "How rigged are stock markets? Evidence from microsecond timestamps," Journal of Financial Markets, Elsevier, vol. 45(C), pages 37-60.
    16. Özer, Mustafa & Fidrmuc, Jan, 2017. "Male Education and Domestic Violence in Turkey: Evidence from a Natural Experiment," GLO Discussion Paper Series 109, Global Labor Organization (GLO).
    17. Wang, Wenjie, 2021. "Wild Bootstrap for Instrumental Variables Regression with Weak Instruments and Few Clusters," MPRA Paper 106227, University Library of Munich, Germany.
    18. Maldonado, Stanislao, 2014. "The Non-Monotonic Political Effects of Resource Booms," MPRA Paper 85649, University Library of Munich, Germany, revised 18 Dec 2017.
    19. Giorgio d’Agostino & John Paul Dunne & Luca Pieroni, 2019. "Military Expenditure, Endogeneity and Economic Growth," Defence and Peace Economics, Taylor & Francis Journals, vol. 30(5), pages 509-524, July.
    20. Fiva, Jon H. & Hægeland, Torbjørn & Rønning, Marte & Syse, Astri, 2014. "Access to treatment and educational inequalities in cancer survival," Journal of Health Economics, Elsevier, vol. 36(C), pages 98-111.

    More about this item

    Keywords

    Japan; learning English; procrastination; randomized controlled trial; Skype;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • H40 - Public Economics - - Publicly Provided Goods - - - General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education

    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:tpr:adbadr:v:37:y:2020:i:2:p:100-133. 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: Kelly McDougall (email available below). General contact details of provider: https://direct.mit.edu/journals .

    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.