Matching Students to Pre-primary Schools in India

This essay explores in depth the complexities of India's primary school selection system, with a particular focus on the application of matching market design principles, including delayed acceptance (DA) algorithms. The main aim of the study was to examine how these basic concepts might address common problems associated with the allocation of school seats to families, ensuring that the system is both inclusive and viable. Through this analysis, GGAL will create a mechanism that promotes equity and benefits all relevant stakeholders. The study, which extends to examining the potential impact of changing the current selection process, hypothesizes that the integration of DA algorithms could provide a comprehensive solution to the primary school enrolment needs of families across India, promoting a more equitable and efficient allocation of educational resources. By forecasting the potential outcomes and examining various case studies where similar algorithms have been implemented, the essay seeks to contribute to the ongoing discussion about educational equity and accessibility in the Indian context.

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Publication Details

Journal
Highlights in Business Economics and Management
Published
2024-08-08
DOI
https://doi.org/10.54097/4wsmf750
Primary Topic
Poverty, Education, and Child Welfare
Type
article
Field-Weighted Citation Impact
0.00
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article

Matching Students to Pre-primary Schools in India

Yinyao Zhang
Highlights in Business Economics and Management
Poverty, Education, and Child Welfare
article

Matching Students to Pre-primary Schools in India

Yinyao Zhang
article en

Abstract

This essay explores in depth the complexities of India's primary school selection system, with a particular focus on the application of matching market design principles, including delayed acceptance (DA) algorithms. The main aim of the study was to examine how these basic concepts might address common problems associated with the allocation of school seats to families, ensuring that the system is both inclusive and viable. Through this analysis, GGAL will create a mechanism that promotes equity and benefits all relevant stakeholders. The study, which extends to examining the potential impact of changing the current selection process, hypothesizes that the integration of DA algorithms could provide a comprehensive solution to the primary school enrolment needs of families across India, promoting a more equitable and efficient allocation of educational resources. By forecasting the potential outcomes and examining various case studies where similar algorithms have been implemented, the essay seeks to contribute to the ongoing discussion about educational equity and accessibility in the Indian context.

Highlights in Business Economics and ManagementVol. 39
Jinhua Academy of Agricultural Sciences (CN)
Quality Education
Openalex Percentile: Top 83%
Poverty, Education, and Child Welfare
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