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SBAR: A Framework to Support Learning Path Adaptation in Mobile Learning

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Frontier Computing (FC 2016)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 422))

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Abstract

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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Acknowledgements

The first author gratefully acknowledges support from the Indonesia Endowment Fund for Education (LPDP), Ministry of Finance, the Republic of Indonesia.

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Correspondence to Alva Muhammad .

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Muhammad, A., Shen, J., Beydoun, G., Xu, D. (2018). SBAR: A Framework to Support Learning Path Adaptation in Mobile Learning. In: Yen, N., Hung, J. (eds) Frontier Computing. FC 2016. Lecture Notes in Electrical Engineering, vol 422. Springer, Singapore. https://doi.org/10.1007/978-981-10-3187-8_62

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  • DOI: https://doi.org/10.1007/978-981-10-3187-8_62

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  • Print ISBN: 978-981-10-3186-1

  • Online ISBN: 978-981-10-3187-8

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