Open AccessParticipatory design of learning analytics dashboards
Author(s) -
Jean-Marie Gilliot,
Sébastien Iksal,
Daniel Magloire Medou,
Inès Dabbebi
Publication year - 2018
Publication title -
hal (le centre pour la communication scientifique directe)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1145/3286689.3286693
Subject(s) - computer science , dashboard , visual analytics , analytics , learning analytics , data science , context (archaeology) , visualization , human–computer interaction , data visualization , participatory design , creativity , artificial intelligence , engineering , paleontology , political science , parallels , law , mechanical engineering , biology
While the field of Learning Analytics is in full development, potential users are just discovering the opportunities offered by these tools. One of the major difficulties consists in proposing a visual data representation which makes sense to the users. After refining our method to identify user needs in terms of visualization, and to define the main dimensions of a learning dashboard, we propose a tool to support participatory design. This tool is based on a canvas and cards to help dashboardsu0027 creation using Learning Analytics. It allows users to support creativity around decision making, characterize their context, and draw a dashboardu0027s mockup using existing content.
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