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
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

Article:Knowledge Representation of LMS using Ontology

by H. Srimathi
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 6 - Number 3
Year of Publication: 2010
Authors: H. Srimathi
10.5120/1058-1380

H. Srimathi . Article:Knowledge Representation of LMS using Ontology. International Journal of Computer Applications. 6, 3 ( September 2010), 35-38. DOI=10.5120/1058-1380

@article{ 10.5120/1058-1380,
author = { H. Srimathi },
title = { Article:Knowledge Representation of LMS using Ontology },
journal = { International Journal of Computer Applications },
issue_date = { September 2010 },
volume = { 6 },
number = { 3 },
month = { September },
year = { 2010 },
issn = { 0975-8887 },
pages = { 35-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume6/number3/1058-1380/ },
doi = { 10.5120/1058-1380 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:54:30.031450+05:30
%A H. Srimathi
%T Article:Knowledge Representation of LMS using Ontology
%J International Journal of Computer Applications
%@ 0975-8887
%V 6
%N 3
%P 35-38
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Personalization is the next step in the evolution of eLearning systems. Students can have several cognitive styles, which make the efficiency and efficacy of an eLearning system different with distinct students. The three different viewpoints [21] and evolution in the area of e-Learning are pedagogy (learner-oriented educational theories), pragmatic (practical solutions to use of instructional components by teachers and instructional designers), and technological (building instructional components by computer professional). Though there are no distinct classifications of the approaches while implementing, the union of all the viewpoints is not dealt / applied completely by any of the author. This paper focus on integrating the above said principles on semantic educational servers with the power of eLearning standards. The knowledge items (learning objects) are linked to commonly agreed ontology [4], [7], [8]. This enables construction of a user-specific course, by semantic querying for topics of interest.

References
  1. Akpinar, Y. and Simsek, H. (2005), “Development of a learning content management system based on interactive learning object approach”, Int. Conf. on Information Technology Based Higher Education and Training, ITHET, pp. T3A5-T3A15.
  2. Berners-Lee, T. (2000), “What the Semantic Web can represent”, http://www.w3.org/DesignIssues/RDFnot.html.
  3. Blochl, M., Rumetshofer, H. and Woß, W. (2003), “Individualized E-Learning Systems Enabled by a Semantically Determined Adaptation of Learning Fragments”, Int. Workshop on Database and Expert Systems Applications (DEXA), pp. 640-645.
  4. Busetti, E., Forcheri, Ierardi, M.G. and Molfino, M.T. (2004), “Repositories of LOs as Learning Environments for Teachers”, IEEE Int. Conf. on Advanced Learning Technologies (ICALT), pp. 450-454.
  5. Decker, S., Melnik, S., VanHarmelen, H., Fensel, D., Klein, M., Broekstra, J., Erdmann, M. and Horrocks, I. (2000), “The Semantic Web: The Roles of XML and RDF “, IEEE Internet Computing, 4 (5), pp. 63-74.
  6. Devedzic, V (2004), “Web Intelligence and Artificial Intelligence in Education”, Educational Technology and Society, 7(4), pp. 29-39.
  7. Gasevic, D., Jovanovic, J. and Devedzic, V. (2004), “Enhancing Learning Object Content on the Semantic Web”, IEEE Int. Conf. on Advanced Learning Technologies (ICALT), pp. 714-716.
  8. Guo, W. and Chen, D. (2006), “Semantic Approach for e-Learning System”, Int. Multi-Symposia on Computer and Computational Sciences (IMSCCS), pp. 442-446.
  9. Heiyanthuduwage, S.R. and Karunaratne, D.D (2006), “A Learner Oriented Ontology of Metadata to improve Effectiveness of Learning Management Systems”, Int. Conf. on eLearning for Knowledge-Based Society, http://www.elearningap.com/eLAP2006/ Proceeding/p42.1-6-fin-12.pdf.
  10. Henze, N., Dolog, P. and Nejdl, W. (2004), “Reasoning and Ontologies for Personalized E-Learning in the Semantic Web”, Educational Technology and Society, 7 (4), pp. 82-97.
  11. Hogeboom, M., Lin, F., Esmahi, L. and Yang, C. (2005), “Constructing knowledge bases for E-Learning using Protégé 2000 and Web Services”, Int. Conf. on Advanced Information and Networking Applications (AINA), pp. 215-220.
  12. Hussain, N. and Khan, M.K. (2005), “Service Oriented E-Learning Architecture using Web Service-based Intelligent Agent” Int. Conf. on Information and Communication Technologies (ICICT), pp. 137 – 143.
  13. IEEE LOM, (2002), “IEEE standard for Learning object Metadata”, http://ltsc.ieee.org/wg12.
  14. Karagiorgi, Y. and Symeou, L. (2005), “Translating Constructivism into Instructional Design: Potential and Limitations”, Educational Technology and Society, 8 (1), pp. 17-27.
  15. Keleberda, I., Lesna, N., Makovetskiy, S. and Teriziyan, V. (2004), “Personalized Distance Learning Based on Multi-agent Ontological System”, IEEE Int. Conf. on Advanced Learning Technologies (ICALT), pp. 777-779.
  16. Knight, C., Gasevic, D. and Richards, G. (2005), “Ontologies to integrate learning design and learning content”, Journal on Interactive Media in Education, http://www-jime.open.ac.uk/2005/07/knight-2005-07.pdf .
  17. Norhayati, A.M. and Siew, P.H. (2004), “Malaysian Perspective: Designing Interactive Multimedia Learning Environment for Moral Values Education”, Educational Technology and Society, 7 (4), pp. 143-152.
  18. Paulo, G., Antunes, B. Luis, and Rodriguez (2006), “Using Ontologies for elearning Personalization”, 3rd E-Learning Conf. http://www.formare.pt/documentos/artusingontologies for_elearning_ perso.pdf.
  19. Raghavan, R. (2001), “LCMS and LMS, Taking advantage of Tight Integration”, http://www.e-learn.cz/soubory/lcms_and_lms.pdf.
  20. Ronchetti, M. and Saini, P. (2004), “Knowledge Management in an E-learning System”, IEEE Int. Conf. on Advanced Learning Technologies (ICALT), pp. 365-369.
  21. Rossano, V., Joy, M., Roscelli, T. and Sutinen, E. (2005), “A Taxonomy for Definitions and Applications of LOs: A Meta-analysis of ICALT papers”, Educational Technology and Society, 8(4), pp. 148-160.
  22. Rumetshofer, H. and Wob, W. (2003), “XML-based Adaptation Framework for Psychological-driven E-Learning Systems”, Educational Technology and Society, 6(4), pp. 18-29.
  23. SCORM (2004), “Sharable Content Object Reference Model (SCORM)”, http://adlnet.org.
  24. Siew, W.L., Khong, C.W, and Lee, C.S. (2001), “An Evolving Instructional Design Model for Designing Web-Based Courses”, IEEE Int. Conf. on Advanced Learning Technologies, (ICALT), pp. 443-444.
  25. Stojanovic, L.j., Staab, S. and Studer R (2001), “eLearning based on the semantic web”, Proceedings of WWWnet Conf., http://www.aifb.uni-karlsruhe.de/~sst/Research/Publications/WebNet2001eLearningintheSemanticWeb.pdf.
  26. Valencia, L., Novarro, A., Aedo, I. and Kloos, C. (2005), “An ontology based mechanism for assembling learning objects”, Advanced Industrial Conf. on Telecommunications/Service Assurance/Elearning, pp. 472-477.
  27. Yang C, Hsin-Chuan Ho, A Shareable e-Learning Platform using Data Grid Technology,. IEEE apos;05. Proceedings. The 2005 IEEE International Conference e-Technology, e-Commerce and e-Service. pp. 592 – 595
Index Terms

Computer Science
Information Sciences

Keywords

Learning Object Ontology LMS LCMS SCORM

Powered by PhDFocusTM