Paper Info
Title
Petri net-based engine for adaptive learning
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.
Year
DOI
Venue
2012
10.1016/j.eswa.2012.05.013
Expert Syst. Appl.
Keywords
Field
DocType
flow component,adaptive learning,petri net,petri net-based engine,flexible architecture,operational semantics,structural property,potential change,petri nets,workflows
Ontology (information science),IMS Learning Design,Operational semantics,Petri net,Computer science,Process architecture,Adaptive learning,Workflow,Semantics,Distributed computing
Journal
Volume
Issue
ISSN
39
17
0957-4174
Citations 
PageRank 
References 
6
0.49
18
Authors
3
Name
Order
Citations
PageRank
Juan C. Vidal110211.58
Manuel Lama238334.84
Alberto Bugarín341448.75