Enhancing Tutoring Intelligence Using Knowledge Discovery Techniques

Abstract

In this paper, we present an approach to enhance tutoring knowledge using a promising approach of data and knowledge discovery based on pattern sequence recognition. We show how the approach is used to discover new meta knowledge and rules in a given domain which then extend domain knowledge and serve as problem space allowing the intelligent tutoring agent to guide learners in problem solving situations