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Closing the digital divide: The impact of teachers’ ICT use on student achievement in China

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  • Hong, Junjie
  • Liu, Wanlin
  • Zhang, Qing

Abstract

There is growing interest in exploring the use of information and communication technology (ICT) to enhance academic performance. Whereas previous studies have predominantly focused on the direct effects of ICT on education quality, only limited attention has been paid to the interactions between teachers’ use of ICT in the classroom and the students’ use of ICT at home and the role of teachers in the pedagogical process. In this study, we use a nationally representative survey of secondary school students in China to investigate the impact of teachers’ integration of ICT into the instructional process and the impact of the interactions between home ICT resources and school ICT use on students’ academic performance. Our findings indicate that teachers’ increased frequency of ICT use during instruction improves the current and long-term academic performance of students who lack access to computers at home, compared with those with home computers. These positive effects can be attributed to improvements in the quality and preparation time of teachers’ lessons, increased use of interactive teaching methods, and heightened student motivation to learn.

Suggested Citation

  • Hong, Junjie & Liu, Wanlin & Zhang, Qing, 2024. "Closing the digital divide: The impact of teachers’ ICT use on student achievement in China," Journal of Comparative Economics, Elsevier, vol. 52(3), pages 697-713.
  • Handle: RePEc:eee:jcecon:v:52:y:2024:i:3:p:697-713
    DOI: 10.1016/j.jce.2024.06.003
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    as
    1. 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.
    2. M. Caridad Araujo & Pedro Carneiro & Yyannú Cruz-Aguayo & Norbert Schady, 2016. "Teacher Quality and Learning Outcomes in Kindergarten," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 131(3), pages 1415-1453.
    3. Jan Feld & Nicolás Salamanca & Ulf Zölitz, 2020. "Are Professors Worth It? The Value-Added and Costs of Tutorial Instructors," Journal of Human Resources, University of Wisconsin Press, vol. 55(3), pages 836-863.
    4. Julian Cristia & Pablo Ibarrarán & Santiago Cueto & Ana Santiago & Eugenio Severín, 2017. "Technology and Child Development: Evidence from the One Laptop per Child Program," American Economic Journal: Applied Economics, American Economic Association, vol. 9(3), pages 295-320, July.
    5. Abhijit V. Banerjee & Shawn Cole & Esther Duflo & Leigh Linden, 2007. "Remedying Education: Evidence from Two Randomized Experiments in India," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 1235-1264.
    6. Bianchi, Nicola & Lu, Yi & Song, Hong, 2022. "The effect of computer-assisted learning on students’ long-term development," Journal of Development Economics, Elsevier, vol. 158(C).
    7. Schwerdt, Guido & Wuppermann, Amelie C., 2011. "Is traditional teaching really all that bad? A within-student between-subject approach," Economics of Education Review, Elsevier, vol. 30(2), pages 365-379, April.
    8. Peter Fredriksson & Björn Öckert & Hessel Oosterbeek, 2013. "Long-Term Effects of Class Size," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 128(1), pages 249-285.
    9. Hidalgo-Cabrillana, Ana & Lopez-Mayan, Cristina, 2018. "Teaching styles and achievement: Student and teacher perspectives," Economics of Education Review, Elsevier, vol. 67(C), pages 184-206.
    10. Scott E. Carrell & Marianne E. Page & James E. West, 2010. "Sex and Science: How Professor Gender Perpetuates the Gender Gap," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 125(3), pages 1101-1144.
    11. Mary A. Burke & Tim R. Sass, 2013. "Classroom Peer Effects and Student Achievement," Journal of Labor Economics, University of Chicago Press, vol. 31(1), pages 51-82.
    12. Thomas J. Kane & Douglas O. Staiger, 2008. "Estimating Teacher Impacts on Student Achievement: An Experimental Evaluation," NBER Working Papers 14607, National Bureau of Economic Research, Inc.
    13. Serena Canaan & Antoine Deeb & Pierre Mouganie, 2022. "Adviser Value Added and Student Outcomes: Evidence from Randomly Assigned College Advisers," American Economic Journal: Economic Policy, American Economic Association, vol. 14(4), pages 151-191, November.
    14. Victor Lavy & Analia Schlosser, 2011. "Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(2), pages 1-33, April.
    15. 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.
    16. Lisa Barrow & Lisa Markman & Cecilia Elena Rouse, 2009. "Technology's Edge: The Educational Benefits of Computer-Aided Instruction," American Economic Journal: Economic Policy, American Economic Association, vol. 1(1), pages 52-74, February.
    17. Jacob L. Vigdor & Helen F. Ladd & Erika Martinez, 2014. "Scaling The Digital Divide: Home Computer Technology And Student Achievement," Economic Inquiry, Western Economic Association International, vol. 52(3), pages 1103-1119, July.
    18. 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.
    19. Scott E. Carrell & Mark Hoekstra & Elira Kuka, 2018. "The Long-Run Effects of Disruptive Peers," American Economic Review, American Economic Association, vol. 108(11), pages 3377-3415, November.
    20. Robert W. Fairlie & Samantha H. Grunberg, 2014. "Access To Technology And The Transfer Function Of Community Colleges: Evidence From A Field Experiment," Economic Inquiry, Western Economic Association International, vol. 52(3), pages 1040-1059, July.
    21. Lai, Fang & Luo, Renfu & Zhang, Linxiu & Huang, Xinzhe & Rozelle, Scott, 2015. "Does computer-assisted learning improve learning outcomes? Evidence from a randomized experiment in migrant schools in Beijing," Economics of Education Review, Elsevier, vol. 47(C), pages 34-48.
    22. Philip Oreopoulos & Uros Petronijevic, 2018. "Student Coaching: How Far Can Technology Go?," Journal of Human Resources, University of Wisconsin Press, vol. 53(2), pages 299-329.
    23. Victor Lavy, 2016. "Editor's Choice What Makes an Effective Teacher? Quasi-Experimental Evidence," CESifo Economic Studies, CESifo Group, vol. 62(1), pages 88-125.
    24. Raj Chetty & John N. Friedman & Jonah E. Rockoff, 2014. "Measuring the Impacts of Teachers I: Evaluating Bias in Teacher Value-Added Estimates," American Economic Review, American Economic Association, vol. 104(9), pages 2593-2632, September.
    25. Kirabo Jackson & Alexey Makarin, 2018. "Can Online Off-the-Shelf Lessons Improve Student Outcomes? Evidence from a Field Experiment," American Economic Journal: Economic Policy, American Economic Association, vol. 10(3), pages 226-254, August.
    26. Robert W. Fairlie & Jonathan Robinson, 2013. "Experimental Evidence on the Effects of Home Computers on Academic Achievement among Schoolchildren," American Economic Journal: Applied Economics, American Economic Association, vol. 5(3), pages 211-240, July.
    27. Thomas S. Dee, 2005. "A Teacher Like Me: Does Race, Ethnicity, or Gender Matter?," American Economic Review, American Economic Association, vol. 95(2), pages 158-165, May.
    28. Atila Abdulkadiroğlu & Joshua Angrist & Parag Pathak, 2014. "The Elite Illusion: Achievement Effects at Boston and New York Exam Schools," Econometrica, Econometric Society, vol. 82(1), pages 137-196, January.
    29. Joshua Angrist & Victor Lavy, 2002. "New Evidence on Classroom Computers and Pupil Learning," Economic Journal, Royal Economic Society, vol. 112(482), pages 735-765, October.
    30. Scott E. Carrell & James E. West, 2010. "Does Professor Quality Matter? Evidence from Random Assignment of Students to Professors," Journal of Political Economy, University of Chicago Press, vol. 118(3), pages 409-432, June.
    31. Diether W. Beuermann & Julian Cristia & Santiago Cueto & Ofer Malamud & Yyannu Cruz-Aguayo, 2015. "One Laptop per Child at Home: Short-Term Impacts from a Randomized Experiment in Peru," American Economic Journal: Applied Economics, American Economic Association, vol. 7(2), pages 53-80, April.
    32. Tommaso Agasisti & María Gil-Izquierdo & Seong Won Han, 2020. "ICT Use at home for school-related tasks: what is the effect on a student’s achievement? Empirical evidence from OECD PISA data," Education Economics, Taylor & Francis Journals, vol. 28(6), pages 601-620, November.
    33. Ofer Malamud & Cristian Pop-Eleches, 2011. "Home Computer Use and the Development of Human Capital," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(2), pages 987-1027.
    34. Maya Escueta & Andre Joshua Nickow & Philip Oreopoulos & Vincent Quan, 2020. "Upgrading Education with Technology: Insights from Experimental Research," Journal of Economic Literature, American Economic Association, vol. 58(4), pages 897-996, December.
    35. Helena Holmlund & Mikael Lindahl & Erik Plug, 2011. "The Causal Effect of Parents' Schooling on Children's Schooling: A Comparison of Estimation Methods," Journal of Economic Literature, American Economic Association, vol. 49(3), pages 615-651, September.
    36. Jie Gong & Yi Lu & Hong Song, 2021. "Gender Peer Effects on Students’ Academic and Noncognitive Outcomes: Evidence and Mechanisms," Journal of Human Resources, University of Wisconsin Press, vol. 56(3), pages 686-710.
    37. C. Kirabo Jackson & Jonah E. Rockoff & Douglas O. Staiger, 2014. "Teacher Effects and Teacher-Related Policies," Annual Review of Economics, Annual Reviews, vol. 6(1), pages 801-825, August.
    38. Heather Antecol & Ozkan Eren & Serkan Ozbeklik, 2015. "The Effect of Teacher Gender on Student Achievement in Primary School," Journal of Labor Economics, University of Chicago Press, vol. 33(1), pages 63-89.
    39. Koedel, Cory & Mihaly, Kata & Rockoff, Jonah E., 2015. "Value-added modeling: A review," Economics of Education Review, Elsevier, vol. 47(C), pages 180-195.
    40. Jie Gong & Yi Lu & Hong Song, 2018. "The Effect of Teacher Gender on Students’ Academic and Noncognitive Outcomes," Journal of Labor Economics, University of Chicago Press, vol. 36(3), pages 743-778.
    41. Sapelli, Claudio & Illanes, Gastón, 2016. "Class size and teacher effects in higher education," Economics of Education Review, Elsevier, vol. 52(C), pages 19-28.
    42. Victor Lavy & Analía Schlosser, 2011. "Corrigendum: Mechanisms and Impacts of Gender Peer Effects at School," American Economic Journal: Applied Economics, American Economic Association, vol. 3(3), pages 268-268, July.
    43. Derksen, Laura & Michaud-Leclerc, Catherine & Souza, Pedro C.L., 2022. "Restricted access: How the internet can be used to promote reading and learning," Journal of Development Economics, Elsevier, vol. 155(C).
    44. Mo, Di & Swinnen, Johan & Zhang, Linxiu & Yi, Hongmei & Qu, Qinghe & Boswell, Matthew & Rozelle, Scott, 2013. "Can One-to-One Computing Narrow the Digital Divide and the Educational Gap in China? The Case of Beijing Migrant Schools," World Development, Elsevier, vol. 46(C), pages 14-29.
    45. Jing Liu & Susanna Loeb, 2021. "Engaging Teachers: Measuring the Impact of Teachers on Student Attendance in Secondary School," Journal of Human Resources, University of Wisconsin Press, vol. 56(2), pages 343-379.
    46. Michela Braga & Marco Paccagnella & Michele Pellizzari, 2016. "The Impact of College Teaching on Students’ Academic and Labor Market Outcomes," Journal of Labor Economics, University of Chicago Press, vol. 34(3), pages 781-822.
    47. Joshua D. Angrist & Victor Lavy, 1999. "Using Maimonides' Rule to Estimate the Effect of Class Size on Scholastic Achievement," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 114(2), pages 533-575.
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    More about this item

    Keywords

    Teachers’ ICT use; Academic performance; Digital divide;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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