Petri net-based engine for adaptive learning

Authors:
Juan C. Vidal;Manuel Lama;Alberto BugaríN
Affiliations:
Centro de Investigación en Tecnoloxías da Información (CITIUS), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain;Centro de Investigación en Tecnoloxías da Información (CITIUS), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain;Centro de Investigación en Tecnoloxías da Información (CITIUS), Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

Citing 11
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Abstract

In this paper, an IMS LD engine based on a Petri net model that represents the operational semantics of units of learning based on this specification is presented. The Petri nets of this engine, which is called OPENET4LD, verify the structural properties that are desirable for a learning flow and also facilitate the adaptation of the engine if potential changes in the IMS LD specification were proposed. Furthermore, OPENET4LD has an open and flexible architecture based on a set of ontologies that describe both the semantics of the Petri nets execution and the semantics of each learning flow component of IMS LD. Furthermore, the implementation of this architecture has been exhaustively validated with a number of UoLs that are compliant with the levels A and B of IMS LD.