Project Description
This project explored the ways that ontologies can support scrutable user modelling.
the starting point for the work was to exploit a light-weight ontology (created by
our automated dictionary analysis tool, Mecureo) to structure a graph for use in a visualisation
of a large user model.
Another key role for the ontology was to support ontological inference.
This is particularly useful in modelling learner's knowledge because the evidence about
the learner tends to be at fine grained level in some cases, such as logs of web page
access, and at quite coarse grain in others, such as marks from assessment tasks.
In practice, the learner often wants an indication of the performance at arbitrary
grain size and the ontology enables SIV to support this by drawing inferences across
the granularity levels.
The image on this page shows the SIV visualisation as in the UI_SIV application which provided
an overview of learner's knowledge of a whole course in human computer interaction, with green for aspects the learner knows and red for those they do not know.
Key Publications
S. Bull and J. Kay. Metacognition and open learner models. In The 3rd Workshop on Meta-Cognition and Self-Regulated Learning in Educational Technologies, at ITS2008, 2008. [View Details]
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