AI analysis reveals top predictors of first grade success: Insights from multifactorial screening students’ early days of school

Early prediction of students' primary school academic performance is crucial for planning timely interventions for those expected to struggle. Random Forest, Gradient Boosting, and Extra Trees AI techniques were used to study 2549 first graders to predict end-of-year academic performance and id...

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Bibliographic Details
Published in:	Computers and Education: Artificial Intelligence
Main Authors:	Pedro Bem-Haja, Paulo Nossa, Andreia J. Ferreira, Diogo S. Pereira, Carlos F. Silva
Format:	Article
Language:	English
Published:	Elsevier 2025-06-01
Subjects:	Primary school Academic achievement Machine learning Cognition Early numeracy Early literacy
Online Access:	http://www.sciencedirect.com/science/article/pii/S2666920X25000554

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