Paper Info
Title
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 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.
Year
DOI
Venue
2017
10.5220/0006325601200131
PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED EDUCATION (CSEDU), VOL 1
Keywords
Field
DocType
Learning Analytic Dashboard, Dashboard Generator, Dashboard Model, User's Needs, Context
Conceptual design,Conceptual model,Visualization,Computer science,Knowledge management,Dashboard (business),Exploratory research
Conference
Citations 
PageRank 
References 
2
0.39
0
Authors
5
Name
Order
Citations
PageRank
Dabbebi Ines120.39
Sébastien Iksal23712.78
Jean-Marie Gilliot3266.37
Madeth May4154.91
Serge Garlatti56014.37