Volume 5, Issue 5 (May 2018), Pages: 10-19

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 Original Research Paper

 Title: Individual learning path personalization approach in a virtual learning environment according to the dynamically changing learning styles and knowledge levels of the learner

 Author(s): T. M. A. U. Gunathilaka ^1, *, M. S. D. Fernando ², H. Pasqual ³

 Affiliation(s):

 ¹Department of Physical Sciences, Rajarata University of Sri Lanka, Mihintale, Sri Lanka
 ²Department of Computer Science and Engineering, University of Moratuwa, Moratuwa, Sri Lanka
 ³Department of Electrical and Computer Engineering, Open University of Sri Lanka, Colombo, Sri Lanka

 https://doi.org/10.21833/ijaas.2018.05.002

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 Abstract:

The Traditional pedagogical approaches to learning are mostly instructor-centered. Since the students or the learners are individually in different knowledge levels, often, they are unable to obtain the effective usage of the teaching methods to improve their knowledge alike. Although the interactive mechanisms are presented with modern e-learning solutions, mechanisms on paying concentration on the delivery of learning materials targeting on each individual student separately for equal knowledge distribution are very rare. As a solution to distribute the learning process in a way to obtain the knowledge by the students equally, this research is carried out to personalize the learning material delivery among the individual students according to their own static and dynamic learning behaviors and the dynamically changing knowledge levels. Such styles are extracted through a literature base study and the analyzed learning behaviors obtained through students’ login profiles in a Learning Management System. In the related studies, they have pointed out some personalizing approaches related to several models of learning theories and the learning styles. Further, with the mobile apps developed for Educational purposes, they have done personalization up to a certain level by considering their accessing history of the educational content. In such approaches, although they have statistically measured the students in numbers to divide them for their learning styles, there is no any mathematical model presented to accurately identify such styles. The main objective of this research is to recursively personalize the learning path according to the dynamically changing learning styles of the student according to an implemented mathematical model for continuous delivery of learning materials and evaluation of their performance until the expected lesson objectives are satisfied by the student. Then based on the identified individual styles, learning path personalization is done as a tree traversal approach in the lesson plan which is delivered as an n-ary tree data structure. By delivering this personalization approach by implementing it in a Virtual Learning Environment (VLE), it was able to obtain more than 70% of learning performance enhancement within individual students with several undergraduate course units. 

 © 2018 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Learning behaviour, Learning personalization, Objective Setting, Learning styles, Learning path

 Article History: Received 6 December 2017, Received in revised form 20 February 2018, Accepted 1 March 2018

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2018.05.002

 Citation:

 Gunathilaka TMAU, Fernando MSD, and Pasqual H (2018). Individual learning path personalization approach in a virtual learning environment according to the dynamically changing learning styles and knowledge levels of the learner. International Journal of Advanced and Applied Sciences, 5(5): 10-19

 Permanent Link:

 http://www.science-gate.com/IJAAS/2018/V5I5/Gunathilaka.html

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