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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ПОДРОБНАЯ ИНФОРМАЦИЯ
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2021/11/15
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Рабочий документ в рамках исследования вопросов политики
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WPS9847
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1
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1
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2021/11/15
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Disclosed
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Preparation, Practice, and Beliefs : A Machine Learning Approach to Understanding Teacher Effectiveness
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