CFP last date
20 May 2024
Call for Paper
June Edition
IJCA solicits high quality original research papers for the upcoming June edition of the journal. The last date of research paper submission is 20 May 2024

Submit your paper
Know more
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.

References
  1. Jannica Heinstrom, "The Impact of Personality and Approaches to Learning on Information Behaviour", Information Research, Vol. 5, No. 3, April 2000,
  2. Shneiderman. B, "Designing the User Interface, 3rd edition", Addison Wesley Longman, Inc, 1998.
  3. Chen. N. S, and Lin. K. M, "Factors affecting e-learning for achievement", IEEE International Conference on Advanced Learning Technologies, 2002, pp. 9-12.
  4. Mayer. R. E, "Multimedia learning, Cambridge", MA: Cambridge University Press, 2001.
  5. Chien Chou, "Interactivity and interactive functions in web-based learning systems: a technical framework for designers", British Educational Communications and Technology Agency, 2003.
  6. Chang Nam. S, Tonya Smith-Jackson. L, "Web-Based Learning Environment: A Theory-Based Design Process for Development and Evaluation", 2000.
  7. Douglas. G and Riding. R. J, "The effect of pupil cognitive style and position of prose passage title on recall", Educational Psychology, 1993, pp. 385-393.
  8. Haryani Haron, and Suriyani Sahar, "An Investigation on Predictors of E-Learing Adoption among Malaysian E-Learners", IEEE, 2010.
  9. Yang Ping, Wang Yanni, and Li JinPing, "Study on Personality learning in E-Learning", IEEE, 2009
  10. Siamak Barzegar, Mohammad Shojafar and M. R. Keyvanpour, "User Interface in Virtual Learning Environment", IEEE, 2009.
  11. Seto Mulyadi, "Intellectual Giftedness and Creative Personality Development through Learning with Process Approach in E-learning Programme", International Journal of Business and Social Science Vol. 2 No. 3, 2011.
  12. Stephen R. , Gulliver, George Ghinea. , "Cognitive style and personality: impact on multimedia perception Online Information Review", University, Uxbridge, UK, Vol: 34, 2010, pp. 39-58.
  13. Essaid El Bachari, El Hassan Abdelwahed, Mohamed El Adnani. , "Design Of An Adaptive E-Learning Model Based On Learner's Personality", Cadi Ayyad University . Marrakesh, Vol. 5, No. 3, 2009, pp. 1-8.
  14. Kenneth Wischmeyer. E, "Designing the E-learning User Interface", White Paper Assignement ITEC 860 fall, 2004.
  15. Matt Germonprez, Ilze Zigurs, "Causal Factors for Web Site Complexity", Vol. 3 No. 2, 2005.
  16. Sweller. J, van Merriënboer. J and Paas. F, "Cognitive architecture and instructional design", Educational Psychology Review, 1998, pp. 251-296.
  17. Clark. R. C, Nguyen. F and Sweller. J, "Efficiency in learning: Evidence-based guidelines to manage cognitive load", San Francisco, CA: Wiley, 2006.
  18. Du Jin, Zheng Qinghua, Li Haifei, Yuan Wenbin, "The Research of Mining Association Rules between Personality and Behavior of Learner under Web-Based Learning Environment", Xi'an Jiaotong University, 2005.
  19. Cowan. N, "The magical number 4 in short-term memory: A reconsideration of mental storage capacity", Behavioral and Brain Sciences, 2001, pp. 87-114.
  20. Eysenck. H. J, "A short questionnaire for the measurement of two dimensions of personality", Journal of Applied Psychology, 1958, pp. 14–17.
  21. Eysenck. H. J, Barrett. P, Wilson. G and Jackson. C, "Primary trait measurement of the 21 components of the PEN system", European Journal of Psychological Assessment, 1992, pp. 109–117.
  22. Jacoby. L. L, "A process dissociation framework: Separating automatic from intentional uses of memory", Journal of Memory and Language, 1991, pp. 513–541
  23. Andrew. P, Yonelinas, Larry, Jacoby, "Noncriterial Recollection: Familiarity as Automatic", Irrelevant Recollection, 1996.
Index Terms

Computer Science
Information Sciences

Keywords

E-Learning Personality traits User Interface Design Association rule mining