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Abstract : HUBBLE is organized around two concepts: (1) a study case is a particular learning situation with teachers, learners, managers and a learning platform, (2) an analysis scenario describes the goals of the analysis, the use context and the indicators or models. HUBBLE is organized in an iterative and bottom-up way. The consortium allowed several study cases to be proposed at the beginning of the project and to perform three iterations. The cases share common analysis scenarios: the quality of a MCQ, learners’ typology and the learning pathways. These iterations allowed the analysis scenarios to be improved by using evaluations of study cases for which they were conceived and from new cases for which they were reused; and also to show steps of conception, theirs roles, and to clarify the uses and limits of proposed concepts. Finally, in this bottom-up approach, capitalization, re-utilization and evaluation allowed models of generic e-learning data to be analysed, as well as reusable analysis algorithms and visualizations for use in the field of e-learning. HUBBLE created a catalogue of analysis processes and tools to assist research and the reuse of these processes, and also allowed accessibility to a set of analysis tools. Hubble was responsible for the construction of a national community on the theme of Learning Analytics. Since then, this theme has taken its rightful place in national conferences (Orphée, EIAH), training (masters), collaborations with companies (thesis grants), projects with the Rectorat (Nantes, Orleans-Tours…) supported by the Direction du Numérique pour l’Education (a governmental service managing digital education). At the European level an Erasmus project was applied for in March 2019. The scientific productions are of different kinds: Firstly, concerning tools and methods allowing those not specialized in data analysis or computer science to rapidly explore analysis and traces. In addition, methods of dynamic conception used to propose dashboards suited to the needs of teachers. Next, for the Leaning Analytics community (researchers and analysts) HUBBLE offers the possibility, via formalisms and tools, to capitalize analyses whilst describing them precisely (justification of choices) and independently of an analysis platform, to consult and reuse them. Moreover, the ethical question has been fully integrated into the conception of analysis by taking into account not only data from an ethical point of view, but also in the treatment of analyses.
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Submitted on : Friday, April 5, 2019 - 4:27:16 PM
Last modification on : Tuesday, July 5, 2022 - 10:05:54 AM


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  • HAL Id : hal-02091392, version 1


Vanda Luengo, Nathalie Guin, Denis Bouhineau, Philippe Daubias, Eric Bruillard, et al.. HUBBLE, UN OBSERVATOIRE DES ANALYSES DES TRACES. [Rapport de recherche] ANR (Agence Nationale de la Recherche - France). 2019. ⟨hal-02091392⟩



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