LEARNING STYLE ESTIMATION USING BAYESIAN NETWORKS

S. Botsios, D. A. Georgiou, N. F. Safouris

Abstract

In order to improve the efficiency of Learning Style estimation, we propose an easily, applicable, Web based, expert system founded on Bayesian networks. The proposed system takes under consideration learners’ answers to a certain questionnaire, as well as classification of learners who have been examined before. As a result, factors such as cultural environment will add value to the learning style estimation. Moreover, the influence of wrong answers, caused by various reasons, is expected to be reduced.

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Paper Citation


in Harvard Style

Botsios S., A. Georgiou D. and F. Safouris N. (2007). LEARNING STYLE ESTIMATION USING BAYESIAN NETWORKS . In Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST, ISBN 978-972-8865-79-5, pages 415-418. DOI: 10.5220/0001275704150418


in Bibtex Style

@conference{webist07,
author={S. Botsios and D. A. Georgiou and N. F. Safouris},
title={LEARNING STYLE ESTIMATION USING BAYESIAN NETWORKS},
booktitle={Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST,},
year={2007},
pages={415-418},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001275704150418},
isbn={978-972-8865-79-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Third International Conference on Web Information Systems and Technologies - Volume 3: WEBIST,
TI - LEARNING STYLE ESTIMATION USING BAYESIAN NETWORKS
SN - 978-972-8865-79-5
AU - Botsios S.
AU - A. Georgiou D.
AU - F. Safouris N.
PY - 2007
SP - 415
EP - 418
DO - 10.5220/0001275704150418