About this paper

Appears in:
Pages: 6976-6986
Publication year: 2016
ISBN: 978-84-617-5895-1
ISSN: 2340-1095
doi: 10.21125/iceri.2016.0595

Conference name: 9th annual International Conference of Education, Research and Innovation
Dates: 14-16 November, 2016
Location: Seville, Spain

PERSONALISED LEARNING SYSTEM BASED ON STUDENTS’ LEARNING STYLES AND APPLICATION OF INTELLIGENT TECHNOLOGIES

E. Kurilovas1, J. Kurilova2, I. Kurilova3, J. Melesko4

1Vilnius Gediminas Technical University; Vilnius University Institute of Mathematics and Informatics (LITHUANIA)
2Vilnius University Institute of Mathematics and Informatics (LITHUANIA)
3The Netherlands Cancer Institute – Antoni van Leeuwenhoek hospital (NETHERLANDS)
4Vilnius Gediminas Technical University (LITHUANIA)
The paper aims to present a methodology to personalise learning and a model of personalised intelligent learning system based on students’ learning styles, cognitive traits and another personal characteristics and needs. First of all, the authors performed systematic review on learning personalisation topic. After that, they have analysed students’ preferences to certain learning styles according to Felder and Silverman Learning Styles Model. This analysis is necessary to further creating individual (personalised) learning packages optimised for particular learners in conformity with their learning styles. These learning packages should consist of suitable learning components (learning objects, learning activities, and learning environments) optimal for particular students. Scientific methodology to creating optimised learning packages for particular learners proposed in the paper is based on expert evaluation method and application of intelligent (smart) technologies – ontologies, recommender systems, and intelligent software agents. The results of Lithuanian case study on identifying students’ learning styles are presented in the paper. The model of personalised intelligent learning system based on application of the aforementioned intelligent technologies is presented in more detail. The main success factors of this approach are the application of pedagogically sound vocabularies of the learning components used to create personalised learning packages, and the experts’ collective intelligence.
@InProceedings{KURILOVAS2016PER,
author = {Kurilovas, E. and Kurilova, J. and Kurilova, I. and Melesko, J.},
title = {PERSONALISED LEARNING SYSTEM BASED ON STUDENTS’ LEARNING STYLES AND APPLICATION OF INTELLIGENT TECHNOLOGIES},
series = {9th annual International Conference of Education, Research and Innovation},
booktitle = {ICERI2016 Proceedings},
isbn = {978-84-617-5895-1},
issn = {2340-1095},
doi = {10.21125/iceri.2016.0595},
url = {http://dx.doi.org/10.21125/iceri.2016.0595},
publisher = {IATED},
location = {Seville, Spain},
month = {14-16 November, 2016},
year = {2016},
pages = {6976-6986}}
TY - CONF
AU - E. Kurilovas AU - J. Kurilova AU - I. Kurilova AU - J. Melesko
TI - PERSONALISED LEARNING SYSTEM BASED ON STUDENTS’ LEARNING STYLES AND APPLICATION OF INTELLIGENT TECHNOLOGIES
SN - 978-84-617-5895-1/2340-1095
DO - 10.21125/iceri.2016.0595
PY - 2016
Y1 - 14-16 November, 2016
CI - Seville, Spain
JO - 9th annual International Conference of Education, Research and Innovation
JA - ICERI2016 Proceedings
SP - 6976
EP - 6986
ER -
E. Kurilovas, J. Kurilova, I. Kurilova, J. Melesko (2016) PERSONALISED LEARNING SYSTEM BASED ON STUDENTS’ LEARNING STYLES AND APPLICATION OF INTELLIGENT TECHNOLOGIES, ICERI2016 Proceedings, pp. 6976-6986.
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