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

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

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...

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Bibliographic Details
Main Authors: Filmer, Deon, Nahata, Vatsal, Sabarwal, Shwetlena
Format: Working Paper
Language:English
Published: World Bank, Washington, DC 2021
Subjects:
EDUCATION
TEACHER PERFORMANCE
TEACHER VALUE-ADDED
TEACHER MINDSET
STUDENT ACHIEVEMENT
MACHINE LEARNING
TEACHER EFFECTIVENESS
Online Access:http://documents.worldbank.org/curated/undefined/737101636989604541/Preparation-Practice-and-Beliefs-A-Machine-Learning-Approach-to-Understanding-Teacher-Effectiveness
http://hdl.handle.net/10986/36600

Internet

http://documents.worldbank.org/curated/undefined/737101636989604541/Preparation-Practice-and-Beliefs-A-Machine-Learning-Approach-to-Understanding-Teacher-Effectiveness
http://hdl.handle.net/10986/36600

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