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

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...

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Bibliographic Details
Main Authors: Ikenna Osakwe, Guanliang Chen, Yizhou Fan, Mladen Rakovic, Xinyu Li, Shaveen Singh, Inge Molenaar, Maria Bannert, Dragan Gašević
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Computers and Education: Artificial Intelligence
Subjects:
Learning analytics
Self-regulated learning
Learning strategies
Reinforcement learning
Personalized (or: individualized or: adaptive) scaffolds
Online Access:http://www.sciencedirect.com/science/article/pii/S2666920X23000607

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http://www.sciencedirect.com/science/article/pii/S2666920X23000607

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