Adaptation of Intelligent Knowledge Assessment System Based on Learner’s Model

Abstract

The Department of Systems Theory and Design of the Faculty of Computer Science and Information Technology of Riga Technical University has been developing the concept map based intelligent knowledge assessment system IKAS already for five years. The paper gives the outline of adaptation mechanism which is under the development and will be integrated with IKAS. The adaptation mechanism is based on learners’ psychological characteristics. Learning styles have been chosen as the most widely used psychological characteristic. Several models of learning styles are overviewed and the Felder-Silverman model has been chosen as the most appropriate for IKAS. For explanation why more flexible adaptation mechanism is needed in IKAS its architecture and functionality is presented. The conception of the design of adaptation mechanism which will be implemented in a user modeling shell AGENT-UM is described