Recommendation of Pedagogical Resources within a Learning Ecosystem

Abstract : With the current development of Information and Communication Technologies (ICT), organizations deal with great amount of information coming from many systems. Identifying a resource of relevant information to a specific context becomes a real challenge. In the course of our work we are interested in recommendation of pedagogical recources within a learning ecosystem. We have chosen to model a learning ecosystem as a system of information systems (SoIS). In this SoIS we introduce a resource recommender system. This system is based on users' votes (learners, teachers), and the similarity between the description of pedagogical resources and the learners' profile. In our approach, we take into account the willingness to collaborate. Therefore, we exploit a collaboration model that supports learning ecosystem to answer the demand for questions such as, who collaborates with whom, how, when, why, on what and where, etc. The work presented in this paper is focused on at recommendation of pedagogical recources within a learning ecosystem.
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Communication dans un congrès
The 9th International Conference on Management of Digital EcoSystems, Nov 2017, Bangkok, Thailand
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Mohamed Ali Ben Ameur, Majd Saleh, Marie-Hélène Abel, Elsa Negre. Recommendation of Pedagogical Resources within a Learning Ecosystem. The 9th International Conference on Management of Digital EcoSystems, Nov 2017, Bangkok, Thailand. 〈hal-01671194〉

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