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Challenges in context-aware mobile language learning: the MASELTOV approach

Gaved, Mark; Luley, Patrick; Efremidis, Sofoklis; Georgiou, Iakovos; Kukulska-Hulme, Agnes; Jones, Ann and Scanlon, Eileen (2014). Challenges in context-aware mobile language learning: the MASELTOV approach. In: 13th World Conference on Mobile and Contextual Learning 2014, 3-5 November 2014, Istanbul, Turkey.

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Abstract

Smartphones, as highly portable networked computing devices with embedded sensors including GPS receivers, are ideal platforms to support context-aware language learning. They can enable learning when the user is en-gaged in everyday activities while out and about, complementing formal language classes. A significant challenge, however, has been the practical implementation of services that can accurately identify and make use of context, particularly location, to offer meaningful language learning recommendations to users. In this paper we review a range of approaches to identifying context to support mobile language learning. We consider how dynamically changing aspects of context may influence the quality of recommendations presented to a user. We introduce the MASELTOV project’s use of context awareness combined with a rules-based recommendation engine to present suitable learning content to recent immigrants in urban areas; a group that may benefit from contextual support and can use the city as a learning environment.

Item Type: Conference or Workshop Item
Project Funding Details:
Funded Project NameProject IDFunding Body
European Community's Seventh Framework Programme (FP7/2007-2013)Grant No. 88587 MASELTOVEU
Extra Information: Paper accepted for conference. Final reviewed version uploaded to ORO.
Keywords: context-aware learning; language learning; location-based learning; recommender systems; immigration; urban informatics
Academic Unit/School: Learning Teaching and Innovation (LTI) > Institute of Educational Technology (IET)
Learning Teaching and Innovation (LTI)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Centre for Research in Education and Educational Technology (CREET)
Item ID: 40758
Depositing User: Mark Gaved
Date Deposited: 04 Sep 2014 13:11
Last Modified: 17 May 2017 20:41
URI: http://oro.open.ac.uk/id/eprint/40758
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