Adaptive Digital Resource Modeling as Service Provider and Consumer

Daouda Sawadogo (1) , Ronan Champagnat (1) , Pascal Estraillier (1)

1 L3I - Laboratoire Informatique, Image et Interaction - EA 2118

The increase in the production of heterogeneous and multi-source digital data over last years raises several issues regarding their management and use. Hence, users can face some difficulties in selecting the adequate digital resources and combining them to reach their objectives in a given activity. In this paper, we focus on digital resources design and management in order to enhance their retrieval, interoperability, adaptation and collaboration within an adaptive system. In practical terms, our work consists in a new method for digital resource design and management capable of enhancing their usability. It relies on RESTful web service-based methodology and platform thinking approach. We have implemented our method in an interactive and adaptive PLE to assist researchers in using and managing their digital resources, called PRISE for PeRsonal Interactive research Smart Environment. We have also undertaken some experiments with PRISE platform in our laboratory. The result showed that modeling digital resources with RESTful and platform thinking concept enhances digital resource usability in terms of retrieving, interoperability, adaptation and collaboration.

Mots clés: adaptation; learning platform; Digital resource modeling; usability; interoperability

Domaines: Environnements Informatiques pour l'Apprentissage Humain; Génie logiciel [cs.SE]

Daouda Sawadogo, Ronan Champagnat, Pascal Estraillier. Adaptive Digital Resource Modeling as Service Provider and Consumer. International Journal of Modeling and Optimization, 2016, 6 (1), pp.25-32. ⟨10.7763/IJMO.2016.V6.498⟩. ⟨hal-01310331⟩