Self-regulated learning in virtual worlds – an exploratory study in OpenSim

Galhenage Indika Udaya Shantha Perera; Colin Allison

doi:10.3233/978-1-61499-530-2-281

Self-regulated learning in virtual worlds – an exploratory study in OpenSim

Galhenage Indika Udaya Shantha Perera, Colin Allison

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Computer technologies are increasingly used in education to give the student more autonomy, referred to as student centred learning. One of the assumptions often made in this situation is that students will self-regulate to ensure they achieve the intended learning outcomes. Learning in immersive environments is popular as they are engaging, entertaining and flexible.
However, a potential tension exists between configuring a multi-user
environment to prohibit actions that can disrupt learning and maintaining the freedom and flexibility that generates learner engagement. This research
investigates the importance of student self-regulation for learning in
OpenSim. The outcome suggests self-regulation is one of the most
important factors needed for successful learning within OpenSim as it
preserves engagement while dissuading disruptive behaviour. Moreover, the
need for suitable user support is identified as key for promoting student self-regulation within OpenSim.

Original language	English
Title of host publication	Workshop Proceedings of the 11th International Conference on Intelligent Environments
Editors	Davy Preuveneers
Publisher	IOS Press
Pages	281-288
ISBN (Electronic)	9781614995302
ISBN (Print)	9781614995296
DOIs	https://doi.org/10.3233/978-1-61499-530-2-281
Publication status	Published - 2015
Event	11th International Conference on Intelligent Environments (IE'15) - Prague, Czech Republic Duration: 13 Jul 2015 → 14 Jul 2015

Publication series

Name	Ambient Intelligence and Smart Environments
Volume	19

Workshop

Workshop	11th International Conference on Intelligent Environments (IE'15)
Country/Territory	Czech Republic
City	Prague
Period	13/07/15 → 14/07/15

Keywords

OpenSim
Self-regulation
Immersive environments
Managed learning

Access to Document

10.3233/978-1-61499-530-2-281Licence: CC BY-NC

Perera_2015_Self-regulated_learning_CC-BY-NC
© 2015 The Authors. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License.
Licence: CC BY-NC

Cite this

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title = "Self-regulated learning in virtual worlds – an exploratory study in OpenSim",

abstract = "Computer technologies are increasingly used in education to give the student more autonomy, referred to as student centred learning. One of the assumptions often made in this situation is that students will self-regulate to ensure they achieve the intended learning outcomes. Learning in immersive environments is popular as they are engaging, entertaining and flexible.However, a potential tension exists between configuring a multi-userenvironment to prohibit actions that can disrupt learning and maintaining the freedom and flexibility that generates learner engagement. This research investigates the importance of student self-regulation for learning in OpenSim. The outcome suggests self-regulation is one of the most important factors needed for successful learning within OpenSim as it preserves engagement while dissuading disruptive behaviour. Moreover, the need for suitable user support is identified as key for promoting student self-regulation within OpenSim.",

keywords = "OpenSim, Self-regulation, Immersive environments, Managed learning",

author = "Perera, {Galhenage Indika Udaya Shantha} and Colin Allison",

year = "2015",

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language = "English",

isbn = "9781614995296",

series = "Ambient Intelligence and Smart Environments",

publisher = "IOS Press",

pages = "281--288",

editor = "Davy Preuveneers",

booktitle = "Workshop Proceedings of the 11th International Conference on Intelligent Environments",

address = "Netherlands",

note = "11th International Conference on Intelligent Environments (IE'15) ; Conference date: 13-07-2015 Through 14-07-2015",

}

Perera, GIUS & Allison, C 2015, Self-regulated learning in virtual worlds – an exploratory study in OpenSim. in D Preuveneers (ed.), Workshop Proceedings of the 11th International Conference on Intelligent Environments. Ambient Intelligence and Smart Environments, vol. 19, IOS Press, pp. 281-288, 11th International Conference on Intelligent Environments (IE'15), Prague, Czech Republic, 13/07/15. https://doi.org/10.3233/978-1-61499-530-2-281

Self-regulated learning in virtual worlds – an exploratory study in OpenSim. / Perera, Galhenage Indika Udaya Shantha; Allison, Colin.
Workshop Proceedings of the 11th International Conference on Intelligent Environments. ed. / Davy Preuveneers. IOS Press, 2015. p. 281-288 (Ambient Intelligence and Smart Environments; Vol. 19).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - Computer technologies are increasingly used in education to give the student more autonomy, referred to as student centred learning. One of the assumptions often made in this situation is that students will self-regulate to ensure they achieve the intended learning outcomes. Learning in immersive environments is popular as they are engaging, entertaining and flexible.However, a potential tension exists between configuring a multi-userenvironment to prohibit actions that can disrupt learning and maintaining the freedom and flexibility that generates learner engagement. This research investigates the importance of student self-regulation for learning in OpenSim. The outcome suggests self-regulation is one of the most important factors needed for successful learning within OpenSim as it preserves engagement while dissuading disruptive behaviour. Moreover, the need for suitable user support is identified as key for promoting student self-regulation within OpenSim.

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Self-regulated learning in virtual worlds – an exploratory study in OpenSim

Abstract

Publication series

Workshop

Keywords

Access to Document

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Cite this