Title: A context-aware personalised m-learning application based on m-learning preferences

Authors: Jane Yin-Kim Yau, Mike Joy

Addresses: Intelligent and Adaptive Systems Group, Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK. ' Intelligent and Adaptive Systems Group, Department of Computer Science, University of Warwick, Coventry CV4 7AL, UK

Abstract: The purpose of this paper is to present the data analysis obtained from our interview study, which showed that participants had different individual mobile learning (hereafter, abbreviated as m-learning) preferences. The understanding of these preferences for different m-learning requirements can be used as a foundation for building successful personalised m-learning applications catered to learners| individual m-learning needs. Participants| dynamic m-learning preferences (including location of study, noise/distraction level in a location and time of day) are described. We propose a context-aware personalised m-learning application based on these m-learning preferences. Six scenarios are given to illustrate the m-learning preferences of different learners. The system architecture consists of a learner profile, personalisation mechanism and learning object repository. An initial m-learning preference questionnaire is used to obtain learners| dynamic m-learning preferences. Current context values are retrieved from context-aware technologies. Appropriate learning objects are selected to learners based on their preferences and context values.

Keywords: context-aware m-learning; personalisation; m-learning preferences; mobile learning; personalised m-learning; context awareness; learner profiles; learning object repositories.

DOI: 10.1504/IJMLO.2011.038688

International Journal of Mobile Learning and Organisation, 2011 Vol.5 No.1, pp.1 - 14

Published online: 14 Feb 2015 *

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