Situation Awareness enabling Decision Support in Seamless Learning

D’Aniello, G.; Gaeta, M.; Loia, V.; Orciuoli, F.; Sampson, Demetrios

doi:10.1109/INCoS.2015.59

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Authors

D’Aniello, G.

Gaeta, M.

Loia, V.

Orciuoli, F.

Sampson, Demetrios

Date

2015

Type

Conference Paper

Metadata

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Citation

D’Aniello, G. and Gaeta, M. and Loia, V. and Orciuoli, F. and Sampson, D. 2015. Situation Awareness enabling Decision Support in Seamless Learning, in Proceedings of the 2015 International Conference on Intelligent Networking and Collaborative Systems (IEEE INCoS 2015), Sep 2-4 2015, pp. 440-445. Taipei, Taiwan: IEEE.

Source Title

Proceedings: 2015 International Conference on Intelligent Networking and Collaborative Systems (IEEE INCoS 2015)

Source Conference

2015 International Conference on Intelligent Networking and Collaborative Systems (IEEE INCoS 2015)

DOI

10.1109/INCoS.2015.59

ISBN

978-1-4673-7694-5

School

School of Education

URI

http://hdl.handle.net/20.500.11937/43389

Collection

Curtin Research Publications

Abstract

In order to enable and support lifelong learning, learners need to be aware of their learning processes. This work proposes a framework for supporting Self-regulation in Seamless Learning scenarios. The framework is based on the Endsley's Model for Situation Awareness. Moreover, the framework is contextualised to a specific class of learning scenarios in order to better explain its potentiality. In particular, the framework allows to define a Decision Support System which exploits the recognized situations for supporting learners in self-regulating their learning processes. Situation Theory is adopted to provide a formal model describing the whole learning situation of the learner. Lastly, a set of algorithms and semantic techniques are proposed to support the above mentioned automatic recognition.