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Conference Papers Year : 2017

Towards Adaptive Dashboards for Learning Analytic: An Approach for Conceptual Design and implementation

Abstract

Designing Learning Analytic (LA) dashboards can be a challenging and complex task when dealing withabundant data generated from heterogeneous sources with various uses. On top of that, each dashboard isdesigned in accordance with the user's needs and their observational objectives. Therefore, understanding thecontext 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 definewhat an adaptive dashboard is and how it fulfills the user's needs. To do so, we have conducted a needsassessment to characterize the user profiles, their activities, their visualization preferences and objectives whenusing 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 accordinglyto their context of use while satisfying the users' requirements. We also discussed the implementation processof our first prototype as well as further improvements.
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Dates and versions

hal-01574127 , version 1 (11-08-2017)

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Inès Dabbebi, Sébastien Iksal, Jean-Marie Gilliot, Madeth May, Serge Garlatti. Towards Adaptive Dashboards for Learning Analytic: An Approach for Conceptual Design and implementation. 9th International Conference on Computer Supported Education (CSEDU 2017), Apr 2017, Porto, Portugal. pp.120-131, ⟨10.5220/0006325601200131⟩. ⟨hal-01574127⟩
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