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Reseach Article

User Interface Design for Effective E-Learning based on Personality Traits

by L. Arockiam, J. Charles Selvaraj
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 61 - Number 14
Year of Publication: 2013
Authors: L. Arockiam, J. Charles Selvaraj
10.5120/9998-4861

L. Arockiam, J. Charles Selvaraj . User Interface Design for Effective E-Learning based on Personality Traits. International Journal of Computer Applications. 61, 14 ( January 2013), 28-32. DOI=10.5120/9998-4861

@article{ 10.5120/9998-4861,
author = { L. Arockiam, J. Charles Selvaraj },
title = { User Interface Design for Effective E-Learning based on Personality Traits },
journal = { International Journal of Computer Applications },
issue_date = { January 2013 },
volume = { 61 },
number = { 14 },
month = { January },
year = { 2013 },
issn = { 0975-8887 },
pages = { 28-32 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume61/number14/9998-4861/ },
doi = { 10.5120/9998-4861 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:09:08.054924+05:30
%A L. Arockiam
%A J. Charles Selvaraj
%T User Interface Design for Effective E-Learning based on Personality Traits
%J International Journal of Computer Applications
%@ 0975-8887
%V 61
%N 14
%P 28-32
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

E-learning is an emerging discipline in the educational field. The advancement of technology and information age has altered the pedagogy and the ways we learn. Many researchers have shown that E-Learning is one of the means which outshines the traditional learning. Personalized learning and teaching could be regarded as an ultimate level of instruction. The E-learning process is influenced by the human factors and cognitive factors. The main purpose of this paper is to explore the relationship between the personality traits and user interface design parameters. Data on recollection and retention skill were collected through a questionnaire designed. Association rule mining technique was applied on the experimental results and rules were generated. Based on the generated rules, suggestions are made to the interface designer for better UID in E-learning.

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Index Terms

Computer Science
Information Sciences

Keywords

E-Learning Personality traits User Interface Design Association rule mining