Rules for Learner Modeling and Adaptation Provisioning in an Educational Hypermedia System

Abstract

This note presents our initial proposal for capturing knowledge required for learner modeling and adaptation provisioning in an educational hypermedia system using a rule-based approach. Rules have been categorized as i) modeling rules - necessary for the identification of the learner style based on observed learning preferences and ii) adaptation rules - necessary for content adaptation based on learning style and/or learning preferences.