Title: Generation of individual learning path in distant education

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: In recent years, there has been the rapid development of the internet technologies the result of which is the possibility of using them in almost all walks of life. One of them is distant learning or e-learning. Nowadays, it is becoming more and more popular and many schools use teaching platforms as an alternative to traditional teaching. Nonetheless, there is still no perfect software to aid such teaching that would satisfy the needs of all learners. This paper is a description of the implementation of a personalised distant learning system. It consists of two parts. The first one describes the methods of personalisation and data collection, and the other one explains how to use them to popularise an individual path of learning.

Keywords: blended learning; distance education; e-learning portals; personalisation cycle; classified features; implicit profile; data collection; adaptive web pages; individual learning paths; artificial intelligence; distance learning; electronic learning; online learning; personalised learning.

DOI: 10.1504/IJCEELL.2014.059334

International Journal of Continuing Engineering Education and Life-Long Learning, 2014 Vol.24 No.1, pp.53 - 61

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 13 Feb 2014 *

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