Title: Classification algorithms in the personalisation of educational portals

Authors: Barbara Dębska; Agnieszka Kubacka

Addresses: Department of Computer Chemistry, Rzeszów University of Technology, Powstańców Warszawy, 6 35-959 Rzeszów, Poland ' Institute of Technology in Department of Informatics, State Higher Vocational School in Krosno, Wyspiańskiego 20, 38-400 Krosno, Poland

Abstract: Education by means of the e-learning method is becoming more and more popular nowadays and a rapid development of information technologies makes traditional, static websites used for online education being replaced by interactive, intelligent portals. In spite of the rapid advances in informatics, there is still no software which would meet the needs of all learners. Some personalisation features characterise the e-student portal which is addressed to the students of the Informatics Department at a Stanisław Pigoń Higher Vocational State School in Krosno. This paper will present the structure of the portal and also describe how to use it for the personalised online education system.

Keywords: blended learning; classification algorithms; cluster analysis; distance learning; e-learning portals; electronic learning; online learning; individual learning paths; k-means clustering; personalisation; personalised learning; preliminary classification; education portals; Poland.

DOI: 10.1504/IJCEELL.2016.075041

International Journal of Continuing Engineering Education and Life-Long Learning, 2016 Vol.26 No.1, pp.105 - 116

Received: 14 Apr 2015
Accepted: 20 Aug 2015
Published online: 01 Mar 2016 *

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