Using Semantic Web Methods for Distributed Learner Modelling

Developing a learner model containing an accurate representation of a learner's knowledge is made more difficult in distributed learning environments where the learner uses multiple applications and re- sources to accomplish learning tasks. To help re- duce this difficulty we describe a semantic web ap- proach to representing student models based on distributed student data. We also present a pro- posal for revising those student models based on arbitrary, web-based learner actions.