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AVAR-RL: adaptive reinforcement learning approach for personalized English vocabulary acquisition

Abstract The demand for personalized e-learning has surged, yet existing systems often fail to adapt to individual learners’ evolving needs. This paper introduces AVAR-RL, a novel reinforcement learning framework for English vocabulary acquisition that dynamically tailors learning paths using a Cont...

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Bibliografiske detaljer
Hovedforfatter: Jing Meng
Format: Artigo
Sprog:Inglês
Udgivet: Springer 2025-11-01
Serier:Discover Artificial Intelligence
Fag:
Online adgang:https://doi.org/10.1007/s44163-025-00584-3
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