Using Concept Maps for Enhancing Adaptation Processes in Declarative Knowledge Learning

Abstract

This article deals with adaptation techniques in the field of declarative knowledge learning. After explaining how concepts can be represented, it introduces a learner evaluation technique based on a concept maps analysis. The way an epistemic learner model can be made from this evaluation is then proposed. Finally, adaptation techniques based on this model are presented. With this method, different adaptation schemes can be applied to the document depending on the learner’s errors.