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2017 | OriginalPaper | Buchkapitel

Self-Regulated Learning and Online Learning: A Systematic Review

verfasst von : Noor Latiffah Adam, Fatin Balkis Alzahri, Shaharuddin Cik Soh, Nordin Abu Bakar, Nor Ashikin Mohamad Kamal

Erschienen in: Advances in Visual Informatics

Verlag: Springer International Publishing

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Abstract

Self-regulated learning (SRL) is an academically effective form of learning, which learners must set their goals and make plans before starting to learn. As an ongoing process, learners need to monitor and regulate their cognition, motivation, and behavior as well as reflect on their learning process. These processes will be repeated as a cyclic process. The emerging technologies have changed the learning environments. Technology delivers teaching to learners via online. In online learning, information of education and learners do not share the same physical setting. Online learning should provide opportunities for learners to master necessary tasks. Online learners may use SRL strategies. In this research, we have collected, synthesized, and analyzed 130 articles on various topics related to SRL that published from 1986 to 2017, focusing on online learning and mathematics. We noted several models, phases, and few other topics discussed under SRL.

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Vorheriges Kapitel An Ontology-Based Hybrid Recommender System for Internet Protocol Television
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Metadaten
Titel
Self-Regulated Learning and Online Learning: A Systematic Review
verfasst von
Noor Latiffah Adam
Fatin Balkis Alzahri
Shaharuddin Cik Soh
Nordin Abu Bakar
Nor Ashikin Mohamad Kamal
Copyright-Jahr
2017
Buch
Advances in Visual Informatics

Print ISBN: 978-3-319-70009-0

Electronic ISBN: 978-3-319-70010-6

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-70010-6_14