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The Negative Consequences of Overambitious Curricula in Developing Countries

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  • Pritchett, Lant

    (Center for Global Development, Washington, DC and Harvard University)

  • Beatty, Amanda

    (Innovations for Poverty Action)

Abstract

Learning profiles that track changes in student skills per year of schooling often find shockingly low learning gains. Using data from three recent studies in South Asia and Africa, we show that a majority of students spend years of instruction with no progress on basics. We argue shallow learning profiles are in part the result of curricular paces moving much faster than the pace of learning. To demonstrate the consequences of a gap between the curriculum and student mastery, we construct a simple, formal model, which portrays learning as the result of a match between student skill and instructional levels, rather than the standard (if implicit) assumption that all children learn the same from the same instruction. A simulation shows that two countries with exactly the same potential learning could have massively divergent learning outcomes, just because of a gap between curricular and actual pace--and the country which goes faster has much lower cumulative learning. We also show that our simple simulation model of curricular gaps can replicate existing experimental findings, many of which are otherwise puzzling. Paradoxically, learning could go faster if curricula and teachers were to slow down.

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Paper provided by Harvard University, John F. Kennedy School of Government in its series Working Paper Series with number rwp12-035.

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Date of creation: Aug 2012
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Handle: RePEc:ecl:harjfk:rwp12-035

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  1. Barro, Robert J. & Lee, Jong Wha, 2013. "A new data set of educational attainment in the world, 1950–2010," Journal of Development Economics, Elsevier, vol. 104(C), pages 184-198.
  2. Abhijit V. Banerjee & Rukmini Banerji & Esther Duflo & Rachel Glennerster & Stuti Khemani, 2010. "Pitfalls of Participatory Programs: Evidence from a Randomized Evaluation in Education in India," American Economic Journal: Economic Policy, American Economic Association, vol. 2(1), pages 1-30, February.
  3. Das, Jishnu & Zajonc, Tristan, 2008. "India shining and Bharat drowning: comparing two Indian states to the worldwide distribution in mathematics achievement," Policy Research Working Paper Series 4644, The World Bank.
  4. Khwaja, Asim Ijaz & Andrabi, Tahir & Das, Jishnu & Zajonc, Tristan, 2009. "Do Value-Added Estimates Add Value? Accounting for Learning Dynamics," Scholarly Articles 4435671, Harvard Kennedy School of Government.
  5. Abhijit Banerjee & Shawn Cole & Esther Duflo & Leigh Linden, 2005. "Remedying education: Evidence from two randomized experiments in india," Framed Field Experiments 00122, The Field Experiments Website.
  6. Das, Jishnu & Pandey, Priyanka & Zajonc, Tristan, 2006. "Learning levels and gaps in Pakistan," Policy Research Working Paper Series 4067, The World Bank.
  7. Esther Duflo & Pascaline Dupas & Michael Kremer, 2011. "Peer Effects, Teacher Incentives, and the Impact of Tracking: Evidence from a Randomized Evaluation in Kenya," American Economic Review, American Economic Association, vol. 101(5), pages 1739-74, August.
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Cited by:
  1. Masooma Habib, 2013. "Education in Pakistan’s Punjab: Outcomes and Interventions," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 18(Special E), pages 21-48, September.

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