نبذة مختصرة : Mobile learning has become a topic of interest as it involves many areas of research concerning complex use and technology contexts. Indeed, this type of training has been recognized for its ability to motivate learners as they can build their own knowledge by collaborating with others. In this context, the orchestration of mobile learning scenarios allows real-time management and contextualisation of the activities to be carried out, but this generates significant organisational costs. Moreover, this organization carried out by the instructor is not adapted to the learning methods used during the field trip because the learner must be able to keep a certain control of his choices and his path. In this thesis, we present a new style of recommendation to make a dynamic orchestration of learning activities according to the location of the learners and the history of the visit. This technique is based on a collaborative filtering based on the learners' previous activity but taking into account pedagogical constraints and localization. Our approach is inspired by the way swarm intelligence works (ACO algorithm) for the implementation of our POI recommendation system. In addition to the simulations which made it possible to compare the various variants of recommendations, the validation of our SAMSSP system involves testing our two prototype campus visits. ; L’apprentissage mobile est devenu un sujet d’intérêt car il implique de nombreux domaines de recherche concernant les contextes d’usages et de technologie complexes. En effet, ce type de formation a été reconnu pour sa capacité à motiver les apprenants car ils peuvent construire leurs propres connaissances en collaborant avec les autres. Dans ce contexte, l’orchestration des scénarios d'apprentissage mobile permet la gestion en temps réel et la contextualisation des activités à réaliser mais ceci engendre des coûts importants d’organisation. En outre, cette organisation réalisée par l'instructeur est peu adaptée aux méthodes d’apprentissage employées pendant la ...
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