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Technology, Knowledge and Learning

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10-01-2018 | Original research

Adults’ Self-Regulatory Behaviour Profiles in Blended Learning Environments and Their Implications for Design

Authors: Stijn Van Laer, Jan Elen

Published in: Technology, Knowledge and Learning | Issue 3/2020

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Abstract

Blended forms of learning have become increasingly popular. However, it remains unclear under what circumstances blended learning environments are successful. Studies suggest that blended learning challenges learners’ self-regulation. Yet little is known about what self-regulatory behaviour learners exhibit in such environments. This limited understanding is problematic since this insight is needed for effective designs. Therefore, the aim of this study was to identify learners’ self-regulatory behaviour profiles in blended learning environments and to relate them to designs of blended learning environments. Learners’ (n = 120) self-regulatory behaviour in six ecologically valid blended learning courses was captured. Log files were analysed in a learning analytics fashion for frequency, diversity, and sequence of events. Three main user profiles were identified. The designs were described using a descriptive framework containing attributes that support self-regulation in blended learning environments. Results indicate fewer mis-regulators when more self-regulatory design features are integrated. These finding highlights the value of integrating features that support self-regulation in blended learning environments.

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Title: Adults’ Self-Regulatory Behaviour Profiles in Blended Learning Environments and Their Implications for Design
Authors: Stijn Van Laer
Jan Elen
Publication date: 10-01-2018
Publisher: Springer Netherlands
Published in: Technology, Knowledge and Learning / Issue 3/2020
Print ISSN: 2211-1662
Electronic ISSN: 2211-1670
DOI: https://doi.org/10.1007/s10758-017-9351-y

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