Jennifer Beckmann1, Sven Bertel2, Steffi Zander2
Bauhaus Universität Weimar2
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.
Compared to traditional, classroom-based learning, eLearning is e.g. characterized ...