Adjustment levels for Intelligent Tutoring System using modified items response theory

Abstract

Intelligent Tutoring System (ITS) is a computer based instructional system that assigns intelligent question depending on student's response. It is important to adjust the student level and question difficulty level to acquire an adaptive system. So, this study focus on building up a framework to automatically adjust the student level and question difficulty level using fuzzy logic and modified items response theory.