Modeling long term learning of generic skills

Authors:
Richard Gluga;Judy Kay;Tim Lever
Affiliations:
University of Sydney, Sydney, NSW, Australia;University of Sydney, Sydney, NSW, Australia;University of Sydney, Sydney, NSW, Australia
Venue:
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
Year:
2010

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Abstract

Many of the most important learning goals can only be achieved over several years. Our CUSP system helps achieve this over the 3-to-5 years of a university degree: it enables each teacher to map their own subject design to institutional learning goals; it creates both subject and degree-level models. It tackles the semantic mapping challenges using a highly flexible lightweight approach. We report its validation for 102 degrees and 1237 subject sessions. CUSP makes a contribution to understanding how to model long term learning of generic skills, using a lightweight semantic mapping based on multiple sets of externally defined learning goals. The work contributes to understanding of how to create comprehensive models of long term learning within degrees that are practical in real environments.