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Multifaceted open social learner modelling

Shi, L.; Cristea, A.I.; Hadzidedic, S.

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Authors

L. Shi



Contributors

Popescu. Elvira
Editor

Rynson W.H. Lau
Editor

Kai Pata
Editor

Howard Leung
Editor

Laanpere Mart
Editor

Abstract

Open social learner modelling (OSLM) approaches are promoted in order to assist learners in self-directed and self-determined learning in a social context. Still, most approaches only focus on visualising learners’ performance, or providing complex tools for social navigation. Our proposal, additionally, emphasises the importance of visualising both learners’ performance and their contribution to a learning community. We seek also to seamlessly integrate OSLM with learning contents, in order for the multifaceted OSLM’s prospect for ubiquity and context-awareness to enrich the adaptive potential of social e-learning systems. This paper thus presents the design of multifaceted OSLM by introducing novel, personalised social interaction features into Topolor, a social personalised adaptive e-learning environment. The umbrella target is to create and study aspects of open social learner models. An experimental study is conducted to analyse the impact of the newly introduced features. The results are finally concluded to suggest future research and further improvements.

Citation

Shi, L., Cristea, A., & Hadzidedic, S. (2014). Multifaceted open social learner modelling. In P. Elvira, R. W. Lau, K. Pata, H. Leung, & L. Mart (Eds.), Advances in Web-Based Learning – ICWL 2014, 13th International Conference, Tallinn, Estonia, August 14-17, 2014, Proceedings (32-42). Springer Verlag. https://doi.org/10.1007/978-3-319-09635-3_4

Online Publication Date Aug 1, 2014
Publication Date Aug 1, 2014
Deposit Date Jul 11, 2018
Publicly Available Date Jul 31, 2018
Publisher Springer Verlag
Pages 32-42
Series Title Lecture notes in computer science
Series Number 8613
Book Title Advances in Web-Based Learning – ICWL 2014, 13th International Conference, Tallinn, Estonia, August 14-17, 2014, Proceedings.
ISBN 9783319096346
DOI https://doi.org/10.1007/978-3-319-09635-3_4
Public URL https://durham-repository.worktribe.com/output/1664356
Related Public URLs http://wrap.warwick.ac.uk/61701/

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