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 identif...
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| Автори: | , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Elsevier
2025-06-01
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| Серія: | Computers and Education: Artificial Intelligence |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S2666920X25000554 |
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