311
Views
0
CrossRef citations to date
0
Altmetric
Intervention, Evaluation, and Policy Studies

Which Students Benefit from Computer-Based Individualized Instruction? Experimental Evidence from Public Schools in India

ORCID Icon &
Pages 318-343 | Received 01 Jul 2021, Accepted 25 Feb 2023, Published online: 31 Mar 2023

References

  • Andrabi, T., Das, J., Khwaja, A. I., Vishwanath, T., & Zajonc, T. (2007). Learning and Educational Achievements in Punjab Schools (LEAPS): Insights to inform the education policy debate. World Bank.
  • Angrist, J., & Lavy, V. (2002). New evidence on classroom computers and pupil learning. The Economic Journal, 112(482), 735–765. https://doi.org/10.1111/1468-0297.00068
  • Angrist, N., de Barros, A., Bhula, R., Chakera, S., Cummiskey, C., DeStefano, J., Floretta, J., Kaffenberger, M., Piper, B., & Stern, J. (2021). Building back better to avert a learning catastrophe: Estimating learning loss from COVID-19 school shutdowns in Africa and facilitating short-term and long-term learning recovery. International Journal of Educational Development, 84, 102397. https://shared.rti.org/content/calculating-educational-impact-covid-19-part-ii-using-data-successive-grades-estimate https://doi.org/10.1016/j.ijedudev.2021.102397
  • Araya, R., Arias Ortiz, E., Bottan, N. L., & Cristia, J. P. (2019). Does gamification in education work?: Experimental evidence from Chile. (IDB Working Paper No. IDB-WP-982). Inter-American Development Bank.
  • ASER. (2018). Annual status of education report (ASER) 2018: Provisional. ASER Centre.
  • ASER. (2021). Annual status of education report (ASER) 2021: Provisional. ASER Centre.
  • ASER Pakistan. (2020). Annual Status of Education Report (ASER) Pakistan 2019: Provisional. ASER Pakistan Secretariat.
  • Azevedo, J. P., Hasan, A., Goldemberg, D., Geven, K., & Iqbal, S. A. (2020). Simulating the potential impacts of Covid-19 school closures on schooling and learning outcomes: A set of global estimates. The World Bank Research Observer, 36(1), 1–40.
  • Banerjee, A. V., Banerji, R., Berry, J., Duflo, E., Kannan, H., Mukerji, S., Shotland, M., & Walton, M. (2017). From proof to concept to scalable policies: Challenges and solutions, with an application. Journal of Economic Perspectives, 31(4), 73–102. https://doi.org/10.1257/jep.31.4.73
  • Banerjee, A. V., Banerji, R., Duflo, E., Glennerster, R., & Khemani, S. (2010). Pitfalls of participatory programs: Evidence from a randomized evaluation in education in India. American Economic Journal: Economic Policy, 2(1), 1–30. https://doi.org/10.1257/pol.2.1.1
  • Banerjee, A. V., Cole, S., Duflo, E., & Linden, L. L. (2007). Remedying education: Evidence from two randomized experiments in India. The Quarterly Journal of Economics, 122(3), 1235–1264. https://doi.org/10.1162/qjec.122.3.1235
  • Barrera-Osorio, F., & Linden, L. L. (2009). The use and misuse of computers in education: Evidence from a randomized experiment in Colombia. (Impact Evaluation Series No. 29). The World Bank.
  • Berlinski, S., & Busso, M. (2017). Challenges in educational reform: An experiment on active learning in mathematics. Economics Letters, 156, 172–175. https://doi.org/10.1016/j.econlet.2017.05.007
  • Beuermann, D. W., Cristia, J., Cruz-Aguayo, Y., Cueto, S., & Malamud, O. (2015). Home computers and child outcomes: Short-term impacts from a randomized experiment in Peru. American Economic Journal: Applied Economics, 7(2), 53–80. https://doi.org/10.1257/app.20130267
  • Beuermann, D. W., Naslund-Hadley, E., Ruprah, I. J., & Thompson, J. (2013). The pedagogy of science and environment: Experimental evidence from Peru. Journal of Development Studies, 49(5), 719–736. https://doi.org/10.1080/00220388.2012.754432
  • Bhattacharjea, S., Wadhwa, W., & Banerji, R. (2011). Inside primary schools: A study of teaching and learning in rural India. ASER.
  • Bulman, G., & Fairlie, R. W. (2016). Technology and education: Computers, software, and the Internet. (NBER Working Paper No. 22237). National Bureau of Economic Research (NBER).
  • Carrillo, P., Onofa, M., & Ponce, J. (2011). Information technology and student achievement: Evidence from a randomized experiment in Ecuador. (IDB Working Paper No. IDB-WP-223). Inter-American Development Bank.
  • Cristia, J., Ibarrarán, P., Cueto, S., Santiago, A., & Severín, E. (2017). Technology and child development: Evidence from the One Laptop per Child program. American Economic Journal: Applied Economics, 9(3), 295–320. https://doi.org/10.1257/app.20150385
  • Das, J., & Zajonc, T. (2010). India shining and Bharat drowning: Comparing two Indian states to the worldwide distribution in mathematics achievement. Journal of Development Economics, 92(2), 175–187. https://doi.org/10.1016/j.jdeveco.2009.03.004
  • de Barros, A., Ganimian, A. J., & Venkatachalam, A. (2022). Which students benefit from independent practice? Experimental evidence from a math software in private schools in India. Journal of Research on Educational Effectiveness, 15(2), 279–301. https://doi.org/10.1080/19345747.2021.2005203
  • Djaker, S., Ganimian, A. J., & Sabarwal, S. (2022). Out of sight, out of mind? The gap between students’ test performance and teachers’ estimations in India and Bangladesh. Unpublished manuscript. Steinhardt School of Culture, Education, and Human Development, New York University.
  • Duflo, E., Dupas, P., & Kremer, M. (2011). Peer effects, teacher incentives, and the impact of tracking: Evidence from a randomized evaluation in Kenya. American Economic Review, 101(5), 1739–1774. https://doi.org/10.1257/aer.101.5.1739
  • Escueta, M., Nickow, A. J., Oreopoulos, P., & Quan, V. (2020). Upgrading education with technology: Insights from experimental research. Journal of Economic Literature, 58(4), 897–996. https://doi.org/10.1257/jel.20191507
  • Fairlie, R. W., & Robinson, J. (2013). Experimental evidence on the effects of home computers on academic achievement among schoolchildren. American Economic Journal: Applied Economics, 5(3), 211–240. https://doi.org/10.1257/app.5.3.211
  • Ferman, B., Finamor, L., & Lima, L. (2019). Are public schools ready to integrate ed-tech classes with Khan Academy? (MPRA Paper No. 94736). Munich Personal RePEc Archive (MPRA).
  • Ganimian, A. J., & Djaker, S. (2022). How can developing countries address heterogeneity in students’ preparation for school? A review of the challenge and potential solutions. Unpublished manuscript. Steinhardt School of Culture, Education, and Human Development, New York University.
  • Ganimian, A. J., Hess, F. M., & Vegas, E. (2020). Realizing the promise: How can education technology improve learning for all?. Brookings Institution.
  • Ganimian, A. J., Muralidharan, K., & Walters, C. R. (2022). Augmenting state capacity for child development: Experimental evidence from India. (NBER Working Paper No. 28780). National Bureau of Economic Research (NBER).
  • IEA. (2017). TIMSS 2019: Assessment frameworks. TIMSS & PIRLS International Study Center. Lynch School of Education, Boston College & International Association for the Evaluation of Educational Achievement (IEA).
  • Kaffenberger, M. (2020). Modeling the long-run learning impact of the COVID-19 learning shock: Actions to (more than) mitigate loss. RISE Insights. Research on Improving Systems of Education (RISE).
  • Kaffenberger, M., & Pritchett, L. (2020). Failing to plan? Estimating the impact of achieving schooling goals on cohort learning. (RISE Working Paper No. RISE-WP-20/038). Research on Improving Systems of Education (RISE).
  • Kolen, M. J., & Brennan, R. L. (2004). Test equating, scaling, and linking. Springer.
  • Kumar, N. (2020). Public school quality and student outcomes: Evidence from model schools in India. Unpublished manuscript. University of California.
  • Lai, F., Luo, R., Zhang, L., Huang, X., & Rozelle, S. (2015). Does computer-assisted learning improve learning outcomes? Evidence from a randomized experiment in migrant schools in Beijing. Economics of Education Review, 47, 34–48. https://doi.org/10.1016/j.econedurev.2015.03.005
  • Lai, F., Zhang, L., Hu, X., Qu, Q., Shi, Y., Qiao, Y., Boswell, M., & Rozelle, S. (2013). Computer assisted learning as extracurricular tutor? Evidence from a randomised experiment in rural boarding schools in Shaanxi. Journal of Development Effectiveness, 5(2), 208–231. https://doi.org/10.1080/19439342.2013.780089
  • Lai, F., Zhang, L., Qu, Q., Hu, X., Shi, Y., Boswell, M., & Rozelle, S. (2012). Does computer-assisted learning improve learning outcomes? Evidence from a randomized experiment in public schools in rural minority areas in Qinghai, China. (REAP working paper No. 237). Rural Education Action Program (REAP).
  • Lee, D. (2009). Training, wages, and sample selection: Estimating sharp bounds on treatment effects. Review of Economic Studies, 76(3), 1071–1102. https://doi.org/10.1111/j.1467-937X.2009.00536.x
  • Leuven, E., Lindahl, M., Oosterbeek, H., & Webbink, D. (2007). The effect of extra funding for disadvantaged pupils on achievement. Review of Economics and Statistics, 89(4), 721–736. https://doi.org/10.1162/rest.89.4.721
  • Linden, L. L. (2008). Complement or substitute? The effect of technology on student achievement in India. Unpublished manuscript. Abdul Latif Jameel Poverty Action Lab (J-PAL).
  • List, J. A., Shaikh, A. M., & Xu, Y. (2019). Multiple hypothesis testing in experimental economics. Experimental Economics, 22(4), 773–793. https://doi.org/10.1007/s10683-018-09597-5
  • Malamud, O., & Pop-Eleches, C. (2011). Home computer use and the development of human capital. The Quarterly Journal of Economics, 126(2), 987–1027. https://doi.org/10.1093/qje/qjr008
  • MHA. (2012). 15th Census of India. Office of the Registrar General & Census Commissioner, Ministry of Home Affairs, Government of India. http://www.censusindia.gov.in/
  • MIA. (2015). Medición independiente de aprendizajes: Porque la educación es de todos, la responsabilidad es mía. Medición Independiente de Aprendizajes (MIA).
  • MLJ. (2009). The right of children to free and compulsory education act, 2009. Ministry of Law and Justice, Government of India.
  • Mo, D., Bai, Y., Boswell, M., & Rozelle, S. (2016). Evaluating the effectiveness of computers as tutors in China. (3ie Impact Evaluation Report No. 41). International Initiative for Impact Evaluation (3ie).
  • Mo, D., Bai, Y., Shi, Y., Abbey, C., Zhang, L., Rozelle, S., & Loyalka, P. (2020). Institutions, implementation, and program effectiveness: Evidence from a randomized evaluation of computer-assisted learning in rural China. Journal of Development Economics, 146, 102487. https://doi.org/10.1016/j.jdeveco.2020.102487
  • Mo, D., Zhang, L., Luo, R., Qu, Q., Huang, W., Wang, J., Qiao, Y., Boswell, M., & Rozelle, S. (2014). Integrating computer-assisted learning into a regular curriculum: Evidence from a randomised experiment in rural schools in Shaanxi. Journal of Development Effectiveness, 6(3), 300–323. https://doi.org/10.1080/19439342.2014.911770
  • Mo, D., Zhang, L., Wang, J., Huang, W., Shi, Y., Boswell, M., & Rozelle, S. (2015). Persistence of learning gains from computer assisted learning: Experimental evidence from China. Journal of Computer Assisted Learning, 31(6), 562–581. https://doi.org/10.1111/jcal.12106
  • Muralidharan, K. (2017). Field experiments in education in developing countries. In A. V. Banerjee & E. Duflo (Eds.), Handbook of field experiments (Vol. 1). North Holland.
  • Muralidharan, K., & Singh, A. (2019). Improving schooling productivity through computer-aided personalization: Experimental evidence from Rajasthan. Unpublished manuscript. University of California.
  • Muralidharan, K., & Singh, A. (2020). Improving school productivity through computer-aided instruction: Experimental evidence from Rajasthan. Unpublished manuscript. University of California.
  • Muralidharan, K., Singh, A., & Ganimian, A. J. (2019). Disrupting education? Experimental evidence on technology-aided instruction in India. American Economic Review, 109(4), 1426–1460. https://doi.org/10.1257/aer.20171112
  • NIEPA. (2018). U-DISE flash statistics 2016–17. National Institute of Educational Planning and Administration (NIEPA).
  • Pritchett, L., & Beatty, A. (2015). Slow down, you’re going too fast: Matching curricula to student skill levels. International Journal of Educational Development, 40, 276–288. https://doi.org/10.1016/j.ijedudev.2014.11.013
  • Rodriguez-Segura, D. (2021). Educational technology in developing countries: A review of the evidence. The World Bank Research Observer.
  • Sankar, D., & Linden, T. (2014). How much and what kind of teaching is there in elementary education in India? Evidence from three states. (South Asia Human Development Sector Report No. 67). The World Bank.
  • Sinha, S., Banerji, R., & Wadhwa, W. (2016). Teacher performance in Bihar, India: Implications for education. The World Bank.
  • Tauson, M., & Stannard, L. (2018). Edtech for learning in emergencies and displaced settings. Save the Children UK.
  • Uwezo. (2015). 2014 Tanzania annual assessment report. Uwezo East Africa Regional Office.
  • Uwezo. (2016). 2015 Kenya annual assessment report. Uwezo East Africa Regional Office.
  • Uwezo. (2019). Are our children learning? Uwezo Uganda eighth learning assessment report. Twaweza East Africa.
  • Van Klaveren, C., Vonk, S., & Cornelisz, I. (2017). The effect of adaptive versus static practicing on student learning-evidence from a randomized field experiment. Economics of Education Review, 58, 175–187. https://doi.org/10.1016/j.econedurev.2017.04.003
  • World Bank. (2016a). Time on task study in secondary schools: Madhya Pradesh & Tamil Nadu, 2015-2016. Unpublished manuscript. The World Bank and Educational Initiatives.
  • World Bank. (2016b). What is happening inside classrooms in Indian secondary schools? A time on task study in Madhya Pradesh and Tamil Nadu. The World Bank.
  • Yen, W. M., & Fitzpatrick, A. R. (2006). Item response theory. In R. L. Brennan (Ed.), Educational measurement. (4th ed.) American Council on Education and Praeger Publishers.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.