DDART, a Dynamic Dashboard for Collection, Analysis and Visualization of Activity and Reporting Traces

Min Ji (1, 2) , Christine Michel (1, 2) , Elise Lavoué (3, 2) , Sébastien George (1, 2)

1 SILEX - Supporting Interaction and Learning by Experience
2 SICAL - Situated Interaction, Collaboration, Adaptation and Learning
3 Laboratoire de Recherche Magellan

Most Learning Management Systems (LMS) focus on providing rich learning materials to the learners but rarely offer possibilities to monitor and analyze their learning processes. However metacognitive strategies argue that learners can improve their learning performances by monitoring their activities, especially in the context of Project-Based Learning (PBL). Our work consists in designing tools to support metacognitive strategies. In this paper, a framework and a dynamic dashboard for PBL situations are proposed to help learners to collect, analyze and visualize the meaningful traces of their activities by themselves. The proposed framework integrates activity traces (interactions with the LMS) and reporting traces (semi-structured sentences written by the learners). The dynamic dashboard supports learners in the creation customizable indicators through a user-friendly interface.

Mots clés: self-regulation; project-based learning; meta-cognition; dashboard; indicator

Domaines: Environnements Informatiques pour l'Apprentissage Humain

Min Ji, Christine Michel, Elise Lavoué, Sébastien George. DDART, a Dynamic Dashboard for Collection, Analysis and Visualization of Activity and Reporting Traces. 9th European Conference on Technology Enhanced Learning (EC-TEL 2014), Graz, Austria, 16-19 September 2014, Sep 2014, Graz, Austria. pp.440-445, ⟨10.1007/978-3-319-11200-8_39⟩. ⟨hal-01130922⟩