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Cited by 493

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

The Challenge of Education and Learning in the Developing World

Kremer, Michael, Brannen, Conner, Glennerster, Rachel·2013·Science

Abstract

Across many different contexts, randomized evaluations find that school participation is sensitive to costs: Reducing out-of-pocket costs, merit scholarships, and conditional cash transfers all increase schooling. Addressing child health and providing information on how earnings rise with education can increase schooling even more cost-effectively. However, among those in school, test scores are remarkably low and unresponsive to more-of-the-same inputs, such as hiring additional teachers, buying more textbooks, or providing flexible grants. In contrast, pedagogical reforms that match teaching to students’ learning levels are highly cost effective at increasing learning, as are reforms that improve accountability and incentives, such as local hiring of teachers on short-term contracts. Technology could potentially improve pedagogy and accountability. Improving pre- and postprimary education are major future challenges.

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Registry

Crossref · 10.1126/science.1235350

Cites

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Citations

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Metadata

Authors
Kremer, M., Brannen, C., & Glennerster, R.
Venue
Science
Published
2013-04-19
Volume
340
Issue
6130
Pages
297-300
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2001441819
Cited by
493
References
38
FWCI
91.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The Challenge of Education and Learning in the Developing World. https://app.cochat.ai/papers/10.1126/science.1235350
The paper
Kremer, M., Brannen, C., & Glennerster, R. (2013). The Challenge of Education and Learning in the Developing World. Science. https://doi.org/10.1126/science.1235350

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.