Towards Adaptive Dashboards for Learning Analytic - An Approach for Conceptual Design and Implementation

Dabbebi Ines, Iksal Sebastien, Gilliot Jean-Marie, May Madeth, Garlatti Serge

Abstract

Designing Learning Analytic (LA) dashboards can be a challenging and complex task when dealing with abundant data generated from heterogeneous sources with various uses. On top of that, each dashboard is designed in accordance with the user’s needs and their observational objectives. Therefore, understanding the context of LA and its users is compulsory as it is part of the dashboard design approach. Our research effort starts with an exploratory study of different contextual elements that could help us define what an adaptive dashboard is and how it fulfills the user’s needs. To do so, we have conducted a needs assessment to characterize the user profiles, their activities, their visualization preferences and objectives when using a dedicated dashboard. In this paper, we introduce a conceptual model, which will be used to generate a variety of LA dashboards. Our main goal is to provide users with adaptive dashboards, generated accordingly to their context of use while satisfying the users’ requirements. We also discussed the implementation process of our first prototype as well as further improvements.

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Paper Citation


in Harvard Style

Ines D., Sebastien I., Jean-Marie G., Madeth M. and Serge G. (2017). Towards Adaptive Dashboards for Learning Analytic - An Approach for Conceptual Design and Implementation . In Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU, ISBN 978-989-758-239-4, pages 120-131. DOI: 10.5220/0006325601200131


in Bibtex Style

@conference{csedu17,
author={Dabbebi Ines and Iksal Sebastien and Gilliot Jean-Marie and May Madeth and Garlatti Serge},
title={Towards Adaptive Dashboards for Learning Analytic - An Approach for Conceptual Design and Implementation},
booktitle={Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU,},
year={2017},
pages={120-131},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006325601200131},
isbn={978-989-758-239-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Conference on Computer Supported Education - Volume 1: CSEDU,
TI - Towards Adaptive Dashboards for Learning Analytic - An Approach for Conceptual Design and Implementation
SN - 978-989-758-239-4
AU - Ines D.
AU - Sebastien I.
AU - Jean-Marie G.
AU - Madeth M.
AU - Serge G.
PY - 2017
SP - 120
EP - 131
DO - 10.5220/0006325601200131