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Article Dans Une Revue International Journal of Learning Technology Année : 2023

A framework for co-designing effective LADs supporting sensemaking and decision making

Résumé

Learning Analytics Dashboards (LAD) deserve increasing attention, yet their adoption remains limited. Designing effective LAD is a difficult process, and LADs often fail in turning insights into action. We argue that providing explicit decision-making features in a participatory design process may help to develop LADs supporting action. We first examine how the decision-making process is reflected on LADs. Second, we review the literature to identify major design space dimensions and examine how to include decision-making features. Secondly, we propose the DEFLAD design framework to synthesise this review which provides explicit decision-making features in three dimensions: Goal expression as a situation awareness level, Visualisation and related Interactions, as support of decision-making process. Third, we consider how this framework is involved through every stage of a Human-Centred Design (HCD) process to express and manage such features. The main contribution of this paper is to provide a framework integrating the decision-making features in a participatory design process of LADs. Furthermore, we demonstrate the implementation of our proposals through the development of a card-based toolkit to assist in the ideation phase of participatory design, and present feedback from participants of a workshop utilizing this tool as a proof of concept.
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Dates et versions

hal-04070529 , version 1 (15-04-2023)

Identifiants

  • HAL Id : hal-04070529 , version 1

Citer

Jean-Marie Gilliot, Madjid Sadallah. A framework for co-designing effective LADs supporting sensemaking and decision making. International Journal of Learning Technology, inPress. ⟨hal-04070529⟩
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