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Revista Ciencias Técnicas Agropecuarias

versión On-line ISSN 2071-0054

Resumen

SANCHEZ DIAZ, Alexander et al. Recovery of information in personalized learning scenarios for the careers of agricultural profile. Rev Cie Téc Agr [online]. 2015, vol.24, n.3, pp.63-70. ISSN 2071-0054.

The main objective of this paper is to present how in the Environments of Personalized Learning for the careers of agricultural profile the information can be recovered by the application of the techniques of Mining of Processes. It is started from the identification of common aspects among the concept of unit of learning of the standard IMS-LD, the pattern of data XES and social graph ontology. Are show up the main advances in the area of the Environments of Personalized Learning as well as some elements of the didactics that base the learning in systems centered in the student. Are described some concepts defined in the ontology, which can be used to develop computer systems that support those scenarios. The vocabulary was defined reutilizing FOAF and the OpenSocial specifications. By means of the concept of Activity defined in the ontology and of their relationships, are represented the events of the social nets as those that compose a unit of learning compatible with IMS-LD. It is explained how managing the similarity among the concepts defined in IMS-LD and the pattern of XES data is possible to apply the techniques of the Mining of Processes to discover learning models, patterns of activities and to carry out social mining. By way of example it is shown how in a learning unit you can apply the technique of Alignment of Appearances to detect possible learning patterns.

Palabras clave : PLE; IMS-LD; XES; mining of processes; ontology.

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