Personalization of Immediate Feedback to Learning Styles

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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.

Ekaterina Vasilyeva, Mykola Pechenizkiy, Tatiana G

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E-learning Systems | Feedback | ICALT 2007 | Immediate Feedback | Machine Learning |

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Added	07 Dec 2010
Updated	07 Dec 2010
Type	Conference
Year	2007
Where	ICALT
Authors	Ekaterina Vasilyeva, Mykola Pechenizkiy, Tatiana Gavrilova, Seppo Puuronen

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Personalization of Immediate Feedback to Learning Styles

E-learning Systems | Feedback | ICALT 2007 | Immediate Feedback | Machine Learning |

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