Effectiveness of tutoring at school: A machine learning evaluation

María Teresa Ballestar, Miguel Cuerdo Mir, Luis Miguel Doncel Pedrera and Jorge Sainz

Technological Forecasting and Social Change, 2024, vol. 199, issue C

Abstract: Tutoring programs are effective in reducing school failures among at-risk students. However, there is still room for improvement in maximising the social returns they provide on investments.

Keywords: Machine learning; Artificial neural networks; Public policy analysis; Tutoring program (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:199:y:2024:i:c:s004016252300728x

DOI: 10.1016/j.techfore.2023.123043

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