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CONTEXTUALIZING LEARNING OBJECTS USING ONTOLOGIES
Author(s) -
Mohammed Phaedra,
Mohan Permanand
Publication year - 2007
Publication title -
computational intelligence
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.353
H-Index - 52
eISSN - 1467-8640
pISSN - 0824-7935
DOI - 10.1111/j.1467-8640.2007.00309.x
Subject(s) - context (archaeology) , computer science , process (computing) , context model , object (grammar) , thematic analysis , data science , ontology , knowledge management , artificial intelligence , qualitative research , sociology , epistemology , philosophy , paleontology , social science , biology , operating system
Educational research over the past three years has intensified such that the context of learning resources needs to be properly modeled. Many researchers have described and even mandated the use of ontologies in the research being conducted, yet the process of actually connecting one or more ontologies to a learning object has not been extensively discussed. This paper describes a practical model for associating multiple ontologies with learning objects while making full use of the IEEE LOM specification. The model categorizes these ontologies according to five major categories of context based on the most popular fields of study actively being pursued by the educational research community: Thematic context, Pedagogical context, Learner context, Organizational context, and Historical/Statistical context.