Measuring the quality of teaching and teacher training in low-income settings

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Abstract/Contents

Abstract
Despite increases in access to education in recent decades, student learning remains a huge challenge, with 250 million children around the world still unable to read or write. Controlling for socioeconomic factors, teaching is well established as the most important school-based determinant of student learning. High quality teaching is able to offset the learning shortfalls of marginalized students and improve long-term outcomes, such as university graduation rates and wages. However, many teachers in developing countries are under-prepared, lacking the knowledge and skills to support student learning. Beyond the simple knowledge that good teachers are important, it is imperative that policymakers understand which specific teaching practices most contribute to student learning and how to develop these through teacher training. This dissertation measures the quality of teaching practices and of professional development (PD) programs intended to improve teaching and thereby student learning in several low-income settings. Each paper applies a different method to solving this measurement problem and informing the design of future PD programs. The first is a large-scale, randomized evaluation of a national PD program in China. The second develops a survey instrument to standardize reporting on teacher PD programs and applies it PD programs in low- and middle-income countries in a meta-analysis. The third leverages the random assignment of teachers to students in six U.S. school districts to estimate the impact of teaching practices on student learning and how these vary with student characteristics.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2021; ©2021
Publication date 2021; 2021
Issuance monographic
Language English

Creators/Contributors

Author Popova, Anna, (Education researcher)
Degree supervisor Carnoy, Martin
Degree supervisor Loyalka, Prashant
Thesis advisor Carnoy, Martin
Thesis advisor Loyalka, Prashant
Thesis advisor Domingue, Ben
Degree committee member Domingue, Ben
Associated with Stanford University, Graduate School of Education

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Anna Popova.
Note Submitted to the Graduate School of Education.
Thesis Thesis Ph.D. Stanford University 2021.
Location https://purl.stanford.edu/xm273rj1003

Access conditions

Copyright
© 2021 by Anna Popova
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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