Preparation, Practice, and Beliefs : A Machine Learning Approach to Understanding Teacher Effectiveness (English)

This paper uses machine learning methods to identify key predictors of teacher effectiveness, proxied by student learning gains linked to a teacher over an academic year. Conditional inference forests and the least absolute shrinkage and selection operator are applied to matched student-teacher data for math and Kiswahili from grades 2 and 3 in 392 schools across Tanzania. These two machine learning methods produce consistent results and outperform...
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DETAILS

  • Filmer,Deon P.;
    Nahata,Vatsal;
    Sabarwal,Shwetlena;

  • 2021/11/15

  • Policy Research Working Paper

  • WPS9847

  • 1

  • 1

  • Tanzania,

  • Eastern and Southern Africa,

  • 2021/11/15

  • Disclosed

  • Preparation, Practice, and Beliefs : A Machine Learning Approach to Understanding Teacher Effectiveness

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Citation

Filmer,Deon P.; Nahata,Vatsal; Sabarwal,Shwetlena.

Preparation, Practice, and Beliefs : A Machine Learning Approach to Understanding Teacher Effectiveness (English). Policy Research working paper|no. WPS 9847 Washington, D.C. : World Bank Group. http://documents.worldbank.org/curated/en/737101636989604541

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