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 resources to accomplish learning tasks. To help reduce this difficulty we describe a semantic web approach to representing student models based on distributed student data. We also present a proposal for revising those student models based on arbitrary, web-based learner actions.
Christopher A. Brooks, Mike Winter, Jim E. Greer,