Title: "Adaptation of E-learning Using Virtual Teacher"
         

DOI: 10.15224/978-1-63248-113-9-47
Page(s): 56 - 59
Authors: ALES OUJEZDSKY, MILAN PASTYRIK, ONDREJ TAKACS, PETR SKUTA

Abstract

This paper deals with automatic adaptation of e-learning courses. The adaptation tailors the course content in given situation to the studentís learning styles. This paper describes the Virtual Teacher that uses a set of rules to automatically adapt the teaching style. These rules compose of two parts: conditions on various studentsí properties or learning situation; conclusions that specify different adaptation parameters. The rules can be used for general adaptation of each subject or they can be specific to some subject. The rule based system of Virtual Teacher is dedicated to be used in pedagogical experiments in adaptive e-learning and is therefore designed for users without education in computer science.