Augmented fuzzy cognitive maps for modelling LMS critical success factors

Authors:
Jose L. Salmeron
Affiliations:
School of Engineering, University Pablo de Olavide (Spain), Ctra. de Utrera, km. 1, 41013 Seville, Spain
Venue:
Knowledge-Based Systems
Year:
2009

Citing 9
Cited 16

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Abstract

This paper proposes to build an Augmented Fuzzy Cognitive Map-based for modelling Critical Success Factors in Learning Management Systems. The study of Critical Success Factors helps decision makers to extract from the multidimensional learning process the core activities that are essential for success. Using Fuzzy Cognitive Maps for modelling Critical Success Factors provides major assistance to the e-learning community, by permitting prediction comparisons to be made between numerous tools measured by multiple factors and its relations.