The Open UniversitySkip to content
 

Supporting self-regulated learning

Nussbaumer, Alexander; Dahn, Ingo; Kroop, Sylvana; Mikroyannidis, Alexander and Albert, Dietrich (2015). Supporting self-regulated learning. In: Kroop, Sylvana; Mikroyannidis, Alexander and Wolpers, Martin eds. Responsive Open Learning Environments: Outcomes of Research from the ROLE Project. Cham, Switzerland: Springer International Publishing, pp. 17–48.

Full text available as:
[img]
Preview
PDF (Version of Record) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader
Download (880kB) | Preview
DOI (Digital Object Identifier) Link: https://doi.org/10.1007/978-3-319-02399-1_2
Google Scholar: Look up in Google Scholar

Abstract

Self-regulated learning (SRL) competences are crucial for lifelong learning. Their cultivation requires the right balance between freedom and guidance during the learning processes. Current learning systems and approaches, such as personal learning environments, give overwhelming freedom, but also let weak learners alone. Other systems, such as learning management systems or adaptive systems, tend to institutionalise learners too much, which does not support the development of SRL competences. This chapter presents possibilities and approaches to support SRL by the use of technology. After discussing the theoretical background of SRL and related technologies, a formal framework is presented that describes the SRL process, related competences, and guidelines. Furthermore, a variety of methods is presented, how learners can be supported to learn in a self-regulated way.

Item Type: Book Section
Copyright Holders: 2015 The Author(s)
ISBN: 3-319-02398-5, 978-3-319-02398-4
Keywords: self-regulated learning; learning guidance; learning models; personal learning environments
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 43407
Depositing User: Kay Dave
Date Deposited: 09 Jun 2015 10:30
Last Modified: 11 Sep 2018 11:25
URI: http://oro.open.ac.uk/id/eprint/43407
Share this page:

Metrics

Altmetrics from Altmetric

Citations from Dimensions

Download history for this item

These details should be considered as only a guide to the number of downloads performed manually. Algorithmic methods have been applied in an attempt to remove automated downloads from the displayed statistics but no guarantee can be made as to the accuracy of the figures.

Actions (login may be required)

Policies | Disclaimer

© The Open University   contact the OU