Personalization of Immediate Feedback to Learning Styles

Feedback provided to a user is an important part of learning and interaction in e-learning systems. In this paper we present the results of our pilot experiment aimed to study interrelation between several types of immediate feedback presentation and learning styles (LSs) of users. In the experiment we used the feedback supported by Quiz Module of Moodle learning system. The obtained results demonstrate tendencies in interrelation between LS and immediate/summative feedback presentation and we suggest three hypotheses for future research.

• Type: Conference
• Year: 2007
• Where: ICALT
• Authors: Ekaterina Vasilyeva, Mykola Pechenizkiy, Tatiana Gavrilova, Seppo Puuronen
• Keywords: E-learning Systems, Feedback, ICALT 2007, Immediate Feedback, Machine Learning