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TALE4GDA

Topological Approach of Learning Games for Game Design Assistance (TALE4GDA) is a financed research project by the Agence National de la Recherche (ANR) under the ANR23-CE38-0001-01 identifier. For the sake of pronounciation and readability, we often shorten TALE4GDA into T4G (read TAG).

Project summary

RubricContent
TitleTopological Approach of Learning Games for Game Design Assistances
AccronymTALE4GDA
Websitehttps://tale4gda.wp.imt.fr/
CoordinatorAlexis Lebis (IMT Nord Europe)
FinancingAgence Nationale de la Recherche ANR-23-CE38-0001-01
StartOctobre 2023
EndSeptembre 2027

Collaborators

This project involves these collaborators:

  • IMT Nord Europe (France)
  • Le Mans Université (France)
  • Université de Lorraine (France)
  • Université de Lille (France)
  • Haute École Pédagogique (Switzerland)

Recently, Nadine Mandran (Université Grenoble Alpes) joined us to work on a new version of THEDRE.

What to found in this organization ?

We will publish all the works done in T4G in this organization.

Popular repositories Loading

  1. .github .githubPublic

  2. thedre-epistemological-self-assessment-tool thedre-epistemological-self-assessment-toolPublic

    HTML

  3. Projection-of-Serious-Game-Models-into-Taxonomies Projection-of-Serious-Game-Models-into-TaxonomiesPublic

    The software projects serious game models (in UML) into a set of user defined taxonomies (pref. pedagogical or ludic) to build four metrics: Precision, Clarity, Overlap and Specialization.

    Python

  4. Semantic-and-structural-comparison-for-Serious-Game-Models Semantic-and-structural-comparison-for-Serious-Game-ModelsPublic

    A code to produce a consensus representation of several serious game models converted into UML

    Python

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