Optimizing learning outcomes: a deep dive into hybrid AI models for adaptive educational feedback

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Pubblicato in:	Journal of Big Data vol. 12, no. 1 (Jun 2025), p. 144
Pubblicazione:	Springer Nature B.V.
Soggetti:	Accuracy Datasets Data augmentation Data mining Feedback Education Artificial neural networks Neural networks Recurrent neural networks Deep learning Machine learning Ensemble learning Synthetic data Adaptive learning Big Data Models Recurrent Learning Predictions Data Classifiers Educational systems Academic achievement Short term memory Recall Temporal patterns Augmentation Networks Intelligence Learning outcomes Imbalance Students Information retrieval Artificial intelligence
Accesso online:	Citation/Abstract Full Text - PDF
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