A Framework to Personalise Open Learning Environments by Adapting to Learning Styles

Heba Fasihuddin, Geoff Skinner, Rukshan Athauda


This paper presents an adaptive framework to personalise open learning environments. The design of the framework has been grounded in cognitive science and learning principles. The theory of learning styles, and more specifically the model of Felder and Silverman, has been considered and applied. The developed framework has two main functions. First, it automatically identifies the learners’ learning styles by tracking their behaviours and interactions with the provided learning objects. Secondly, it provides adaptive navigational support based on the identified learning styles. Sorting learning materials based on learners’ preferences and hiding the least preferred materials are the two techniques of navigational support that have been applied in the proposed framework. Detailed descriptions of the framework functionalities and different components are presented in this paper. Future piloting and evaluation will test and verify this proposed framework.


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Paper Citation

in Harvard Style

Fasihuddin H., Skinner G. and Athauda R. (2015). A Framework to Personalise Open Learning Environments by Adapting to Learning Styles . In Proceedings of the 7th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-107-6, pages 296-305. DOI: 10.5220/0005443502960305

in Bibtex Style

author={Heba Fasihuddin and Geoff Skinner and Rukshan Athauda},
title={A Framework to Personalise Open Learning Environments by Adapting to Learning Styles},
booktitle={Proceedings of the 7th International Conference on Computer Supported Education - Volume 1: CSEDU,},

in EndNote Style

JO - Proceedings of the 7th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - A Framework to Personalise Open Learning Environments by Adapting to Learning Styles
SN - 978-989-758-107-6
AU - Fasihuddin H.
AU - Skinner G.
AU - Athauda R.
PY - 2015
SP - 296
EP - 305
DO - 10.5220/0005443502960305