Semantic Agents for Learning Style Recognition in an e-Learning Environment

This paper aims to provide a survey of the major research works done in the domain of learning style recognition in an e-learning environment and proposes a Semantic Agent Framework for the e-Learning environment to detect individual differences existing among individuals, using their learning style...

Full description

Saved in:
Bibliographic Details
Main Authors: Abraham, George (Author), V., Balasubramanian (Author), Saravanaguru, RA. K. (Author)
Format: EJournal Article
Published: Institute of Advanced Engineering and Science, 2013-03-01.
Subjects:
Online Access:Get fulltext
Tags: Add Tag
No Tags, Be the first to tag this record!
LEADER 02071 am a22002893u 4500
001 IJERE_4435_2151
042 |a dc 
100 1 0 |a Abraham, George  |e author 
100 1 0 |e contributor 
700 1 0 |a V., Balasubramanian  |e author 
700 1 0 |a Saravanaguru, RA. K.  |e author 
245 0 0 |a Semantic Agents for Learning Style Recognition in an e-Learning Environment 
260 |b Institute of Advanced Engineering and Science,   |c 2013-03-01. 
520 |a This paper aims to provide a survey of the major research works done in the domain of learning style recognition in an e-learning environment and proposes a Semantic Agent Framework for the e-Learning environment to detect individual differences existing among individuals, using their learning styles. Automatic detection of learning styles of an individual in an e-learning environment is an important problem that have been researched upon by many, as it proves beneficial to the learners to be provided with materials based on their individual preferences. To achieve this dynamic adaptability, we propose to use a mix of data-driven approach and literature-based approach. Out of the 71 models of learning styles that are described by different researchers, we consider the Felder-Silverman Learning Style Model (FSLSM) for our analysis.DOI: http://dx.doi.org/10.11591/ijere.v2i1.2517 
540 |a Copyright (c) 2012 Institute of Advanced Engineering and Science 
540 |a http://creativecommons.org/licenses/by-nc-nd/4.0 
546 |a eng 
690 |a Semantic, Ontology (OWL), e-Learning, Learning Style, FSLSM 
655 7 |a info:eu-repo/semantics/article  |2 local 
655 7 |a info:eu-repo/semantics/publishedVersion  |2 local 
655 7 |2 local 
786 0 |n International Journal of Evaluation and Research in Education (IJERE); Vol 2, No 1: March 2013; 23-31 
786 0 |n 2620-5440 
786 0 |n 2252-8822 
786 0 |n 10.11591/ijere.v2i1 
787 0 |n https://ijere.iaescore.com/index.php/IJERE/article/view/4435/2151 
856 4 1 |u https://ijere.iaescore.com/index.php/IJERE/article/view/4435/2151  |z Get fulltext