Artificial neural network for learning personalisation
Articles
Andrius Berniukevičius
Vilniaus universitetas
Eugenijus Kurilovas
Vilniaus Gedimino technikos universitetas
Published 2017-12-20
https://doi.org/10.15388/LMR.B.2017.04
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Keywords

personalisation
artificial neural network
learning style

How to Cite

Berniukevičius A. and Kurilovas E. (2017) “Artificial neural network for learning personalisation”, Lietuvos matematikos rinkinys, 58(B), pp. 22–27. doi: 10.15388/LMR.B.2017.04.

Abstract

The paper aims to suggest a method of using artificial neural for learning personalisation. Learning personalisation consists form learning style identification then linking it to learning activities and objects which correspond to learning style. But the problem is that learning style identified by questionnaire cannot guarantee adequacy and objectivity. In order to overcome this issue we can use artificial neural network which could analyse learner in learning activities and interaction
with learning objects and correct learning style and scenarios characteristics according to collected information.

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