SBAR: A framework to support learning path adaptation in mobile learning

Muhammad, A; Shen, J; Beydoun, G; Xu, D

SBAR: A framework to support learning path adaptation in mobile learning

Muhammad, A Shen, J

Beydoun, G

Xu, D

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Publication Type:: Conference Proceeding
Citation:: Lecture Notes in Electrical Engineering, 2018, 422 pp. 655 - 665
Issue Date:: 2018-01-01

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Field	Value	Language
dc.contributor.author	Muhammad, A	en_US
dc.contributor.author	Shen, J https://orcid.org/0000-0002-9403-7140	en_US
dc.contributor.author	Beydoun, G https://orcid.org/0000-0001-8087-5445	en_US
dc.contributor.author	Xu, D	en_US
dc.date.issued	2018-01-01	en_US
dc.identifier.citation	Lecture Notes in Electrical Engineering, 2018, 422 pp. 655 - 665	en_US
dc.identifier.isbn	9789811031861	en_US
dc.identifier.issn	1876-1100	en_US
dc.identifier.uri	http://hdl.handle.net/10453/96168
dc.description.abstract	© Springer Nature Singapore Pte Ltd. 2018. Most of the previous studies in mobile learning focused on pedagogical or technical implementation. However, very little attention was paid to address the abstract model of the general view of adaptation particularly in ubiquitous environments. The main aim of this study is to propose a comprehensive framework for supporting adaptation, more precisely the learning path adaptation, in mobile and ubiquitous learning environment. We introduce Situation, Background, Assessment, and Recommendation (SBAR) framework to define the conceptual model of the context and adaptation in the mobile learning environment. The conceptual model is explored by a scenario of daily activities in ubiquitous environments.	en_US
dc.relation.ispartof	Lecture Notes in Electrical Engineering	en_US
dc.relation.isbasedon	10.1007/978-981-10-3187-8_62	en_US
dc.title	SBAR: A framework to support learning path adaptation in mobile learning	en_US
dc.type	Conference Proceeding
utslib.citation.volume	422	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
pubs.organisational-group	/University of Technology Sydney/Strength - CAMGIS - Centre for Advanced Modelling and Geospatial lnformation Systems
pubs.organisational-group	/University of Technology Sydney/Strength - PERSWADE - Centre on Persuasive Systems for Wise Adaptive Living
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	422	en_US

Abstract:

© Springer Nature Singapore Pte Ltd. 2018. Most of the previous studies in mobile learning focused on pedagogical or technical implementation. However, very little attention was paid to address the abstract model of the general view of adaptation particularly in ubiquitous environments. The main aim of this study is to propose a comprehensive framework for supporting adaptation, more precisely the learning path adaptation, in mobile and ubiquitous learning environment. We introduce Situation, Background, Assessment, and Recommendation (SBAR) framework to define the conceptual model of the context and adaptation in the mobile learning environment. The conceptual model is explored by a scenario of daily activities in ubiquitous environments.

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http://hdl.handle.net/10453/96168