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Mensch und Computer 2014 – Tagungsband by Johann Schlichter, Andreas Butz, Michael Koch

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Adaptive eLearning based on individual learning styles – Performance and emotional factors

Jennifer Beckmann1, Sven Bertel2, Steffi Zander2

 

Fachhochschule Südwestfalen1

Bauhaus Universität Weimar2

 

Abstract

Adaptive eLearning systems are able to adjust to a user’s learning needs, usually by user modeling or tracking progress. Such learner-adaptive behavior has rapidly become a hot topic for eLearning. This contribution presents original research on using differences in individual learning styles. Factors related to performance, motivation, satisfaction, and previous knowledge were targeted and used to assess the effectiveness of the approach.

1 Introduction

Compared to traditional, classroom-based learning, eLearning is e.g. characterized ...

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