Analýza teoretických a experimentálně získaných stylů učení

Abstract

This work concerns with description of theoretical learning styles and design of methods for analysis of data acquired from filled learning style questionnaires. Each of these chosen questionnaires finds student properties that are important for individualized e-learning. Individualized e-learning is automatized way of teaching, which is personalizing to different student properties. Questionnaires has been filled by hundreds of students from different fields.