Reinforcement learning for automatic detection of effective strategies for self-regulated learning

Self-regulated learning (SRL) is an essential skill for achieving one's learning goals, particularly in Digital Learning Environments (DLEs) where system support is often limited compared to traditional classroom settings. However, research has found that learners often struggle to adapt their behav...

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Autori principali:	Ikenna Osakwe, Guanliang Chen, Yizhou Fan, Mladen Rakovic, Xinyu Li, Shaveen Singh, Inge Molenaar, Maria Bannert, Dragan Gašević
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2023-01-01
Serie:	Computers and Education: Artificial Intelligence
Soggetti:	Learning analytics Self-regulated learning Learning strategies Reinforcement learning Personalized (or: individualized or: adaptive) scaffolds
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2666920X23000607
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