Automatizované řízení adaptivní výuky v e-learningu podle stylů učení studenta

Abstract

This dissertation thesis deals with automatic adaptation of e-learning courses. The adaptation tailors the course content in given situation to the student’s learning styles. This thesis describes and analyses different ways of adaptation, mainly the choice of appropriate sensual form, difficulty and the learning order. There are four sensual forms: text, visual, auditive and kinesthetic (interactive). The difficulty is defined in three levels: difficult with optional curriculum, normal with usual content and easier level of difficulty with more detailed explanation. The learning order can be from theory to examples or backward from examples to theory. This thesis also describes the Virtual Teacher that uses a set of rules to automatically adapt the way of teaching. These rules compose of two parts: conditions on various students’ 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. The Virtual Teacher was used in dissertation theses of two students, who executed two pedagogical experiments that are briefly described in this work.