We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 November 2024
Reseach Article

Towards Designing E-learning Materials based on Multi Learner’s Styles

by Buthaina Deeb, Zainuddin Bin Hassan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 26 - Number 3
Year of Publication: 2011
Authors: Buthaina Deeb, Zainuddin Bin Hassan
10.5120/3086-4225

Buthaina Deeb, Zainuddin Bin Hassan . Towards Designing E-learning Materials based on Multi Learner’s Styles. International Journal of Computer Applications. 26, 3 ( July 2011), 7-10. DOI=10.5120/3086-4225

@article{ 10.5120/3086-4225,
author = { Buthaina Deeb, Zainuddin Bin Hassan },
title = { Towards Designing E-learning Materials based on Multi Learner’s Styles },
journal = { International Journal of Computer Applications },
issue_date = { July 2011 },
volume = { 26 },
number = { 3 },
month = { July },
year = { 2011 },
issn = { 0975-8887 },
pages = { 7-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume26/number3/3086-4225/ },
doi = { 10.5120/3086-4225 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:11:50.747030+05:30
%A Buthaina Deeb
%A Zainuddin Bin Hassan
%T Towards Designing E-learning Materials based on Multi Learner’s Styles
%J International Journal of Computer Applications
%@ 0975-8887
%V 26
%N 3
%P 7-10
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Although each learner is provided at birth with a certain learning style specific to any of the three main ones, (Visual, Auditory and Kinesthetic). The ideal learning style remains to be a part or a mixture of all the three or any two of the three kinds. Some learners possess strong inclination, while others have a less effective mixture of two or the three common favored styles. The existing systems either follow Auditory, Visual or Kinesthetic type of learning or a static combination, but not a dynamic combination. In this research study, a proposal on a newly designed coursework for benefiting the students according to their preferred learning style and capabilities will be presented. The main goal of this proposed research study is to prepare a courseware material that fits the dynamic learning needs of all learner styles, (Visual, Auditory and Kinesthetic).

References
  1. Dekson D. E. and Suresh E. S. M. 2010. Adaptive E-Learning techniques in the development of teaching electronic portfolio – A survey. International Journal of Engineering Science and Technology Vol. 2(9), 4175-4181.
  2. Honey P. and Mumford. A. 1982. Manual of Learning Styles. London.
  3. Kolb D.A. 1984. Experiential Learning. Englewood Cliffs. NJ: Prentice-Hall.
  4. Felder R.M. and Silverman L.K. 1988. Learning and Teaching Styles in Engineering Education. Engr. Education, 78(7), 674-681.
  5. Sarasin L. C. 1999. Learning style perspectives: Impact in the classroom. Madison, WI: Atwood Publishing.
  6. Montemayor E. and Aplaten M. C. 2009. Learning Styles Of High And Low Academic Achieving Freshman Teacher Education Students: An Application of the Dunn and Dunn’s Learning Style Model. University of the Cordilleras, 1(4): 1-14.
  7. Surjono H. D. 2009. The Implementation of an Adaptive E-learning Using the Learning Management Systems of Moodle. In The International Symposium on Open, Distance, and e-Learning (ISODEL’09), 8 -11 December, Yogyakarta, Indonesia.
  8. Krstevski L., Atanasova I. and Pehcevski J. 2010. A Framework for Effective and Adaptive E-Learning. In Proceedings of the 7th International Conference for Informatics and Information Technology (CIIT’10). Bitola, Macedonia, February 24-27.
  9. Mustafa Y. and Sharif M. 2010. An Approach to Adaptive E-Learning Hypermedia System based on Learning Styles (AEHS-LS): Implementation and Evaluation. International Journal of Library and Information Science, 3(1): 15-28.
  10. Boyle T. 1997. Design for multimedia learning, Prentice-Hall, Inc., Upper Saddle River, NJ.
  11. Chislett V. and Chapman A. 2005. VAK Learning Styles Self-Assessment Questionnaire, Retrived from: http://www.businessballs.com.
  12. Verdú, E., Regueras, L.M., Verdú, M. J., De Castro, J.P. and Pérez, M.A. 2008. Is Adaptive Learning Effective? A Review of the Research. 7th WSEAS Int. Conf. on Applied Computer & Applied Computational Science (ACACOS '08), Hangzhou, China, April 6-8, pp. 710-715.
Index Terms

Computer Science
Information Sciences

Keywords

E- learning Adaptive E-learning Learner styles Learner model VAK