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

Submit your paper
Know more
The week's pick
Responsive image
Improved Shuffled Frog Leaping Algorithm with Self-Adaptive Shuffling for Fuzzy Logic PD+G Controller Optimization in Robotic Manipulators

Duc Hoang Nguyen
Random Articles
Reseach Article

Building Learning Repository based on Semantic and Shareable Learning Objects

by Khaled M. Fouad, Mostafa A. Nofal, Jehan A. Hasan
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 70 - Number 17
Year of Publication: 2013
Authors: Khaled M. Fouad, Mostafa A. Nofal, Jehan A. Hasan
10.5120/12162-8205

Khaled M. Fouad, Mostafa A. Nofal, Jehan A. Hasan . Building Learning Repository based on Semantic and Shareable Learning Objects. International Journal of Computer Applications. 70, 17 ( May 2013), 34-42. DOI=10.5120/12162-8205

@article{ 10.5120/12162-8205,
author = { Khaled M. Fouad, Mostafa A. Nofal, Jehan A. Hasan },
title = { Building Learning Repository based on Semantic and Shareable Learning Objects },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 70 },
number = { 17 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 34-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume70/number17/12162-8205/ },
doi = { 10.5120/12162-8205 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:33:08.089315+05:30
%A Khaled M. Fouad
%A Mostafa A. Nofal
%A Jehan A. Hasan
%T Building Learning Repository based on Semantic and Shareable Learning Objects
%J International Journal of Computer Applications
%@ 0975-8887
%V 70
%N 17
%P 34-42
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Learning Objects (LO) represent important elements when using electronic media to deliver educational contents to an audience in a learning environment. Construction of LOs does not involve a simple method, as their nature is directly linked to the intricacies of human cognitive and learning processes. Learning Objects Repository (LOR) not only provides a distributed storage mechanism but also emphasizes on the shareability and reusability of LOs. To ensure reusability and shareability, the metadata has been annotated to help LO discovery. To enhance the annotations in a traditional metadata format, ontological approach is proposed to achieve efficient LOs and to assist users in retrieving LOs. In this paper, new approach is proposed to acquiresemantic shareable learning objectsto create LOR. This proposed system presents the advantages that facilitate the development of new didactic tools with improved LO retrieving, integration and building capabilities. The experiment executed in this research shows that the proposed approach improves LO retrieving in the learning system.

References
  1. Alian, M. &AL-Akhras, M. (2010). AdaLearn: An Adaptive E-Learning Environment. ISWSA'10, June 14–16, 978-1-4503-0475, ACM.
  2. Zschocke, T. & Villagrán de León, J. (2010). Towards an Ontology for the Description of Learning Resources on Disaster Risk Reduction. WSKS 2010, Part I, CCIS 111, pp. 60–74, Springer-Verlag Berlin Heidelberg.
  3. Ghaleb, F. , Daoud, S. , Hasna, A. , Jaam, J. , El-Seoud, S. , El-Sofany, H. & Alja 'am, J. (2006). E-Learning Model Based On Semantic Web Technology, International Journal of Computing &Information Sciences Vol. 4, No. 2, August 2006, On-Line. Pages 63 – 71.
  4. Liu, J. , Huang, B. &Chao, M. (2005). The Design of Learning Object Authoring Tool Based on SCORM. Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05). 0-7695-2338-2/05, IEEE.
  5. Wiley, D. A. (2000). Connecting learning objects to instructional design theory: A definition, a metaphor, and a taxonomy. In D. A. Wiley (Ed. ), The instructional use of learning objects. Retrieved 2 - 17 - 2005 from: http://reusability. org/read/chapters/wiley. doc.
  6. Lerma, C. (2007). Creating Learning Objects. Proceedings of the 2007 Informing Science and IT Education Joint Conference.
  7. Roy, D. (2006). Automatic Annotation of Learning Materials for E-learning. Ph. D Thesis, Department of Computer Science and Engineering Indian Institute of Technology, Kharagpur.
  8. Vidal, C. , Navarrete, A. , Menéndez D, V. , Gonzalez, A. &Prieto, M. (2010). Metadata and Ontologies in Learning Resources Design. M. D. Lytras et al. (Eds. ): WSKS 2010, Part I, CCIS 111, pp. 105–114, Springer-Verlag Berlin Heidelberg.
  9. Draft Standard for Learning Object Metadata. IEEE P1484. 12. 1, IEEE Learning Technology Standards Committee(2002), http://ltsc. ieee. org/wg12/files/LOM_1484_12_1_v1_Final_Draft. pdf.
  10. Mihal, V. & Bielikova, M. . (2009). AnApproach to Annotation of Learning Texts on Programming within a Web-Based Educational System. 2009 Fourth International Workshop on Semantic Media Adaptation and Personalization. 978-0-7695-3894-5/09, IEEE.
  11. Reeve, L. &Han. H. (2006). A Comparison of Semantic Annotation Systems for Text-Based Web Documents. In the publication, Web Semantics Ontology edited by David Taniar and Johanna Wenny Rahayu, Idea Group Inc.
  12. Tang, J. , Zhang, D. , Yao, L. & Li, Y. (2009), Automatic Semantic Annotation Using Machine Learning. In: The Semantic Web for Knowledge and Data Management. DOI: 10. 4018/978-1-60566-028-8. ch006. IGI Global.
  13. Yen, Neil, Shih, T. &Jin, Q. (2010). A New Paradigm of Ranking & Searching in Learning Object Repository. MTDL'10, October 29, 2010, ACM 978-1-4503-0158-9/10/10.
  14. Ding, G. & Xu, Na. (2010). Automatic semantic annotation of images based on Web data. 2010 Sixth International Conference on Information Assurance and Security. 978-1-4244-7409-7/10, IEEE.
  15. Jellouli, I. & El Mohajir, M. (2009). Towards automatic semantic annotation of data rich Web pages. 9781-4244-2865-6/09, IEEE.
  16. Saini, P. , Ronchetti, M. &Sona. D. (2006). Automatic Generation of Metadata for Learning Objects. Proceedings of the Sixth International Conference on Advanced Learning Technologies (ICALT'06). 0-7695-2632-2/06, IEEE.
  17. Eric, C. , Gagnon, M. & Ozell, B. (2011). Automatic Semantic Web Annotation of Named Entities. C. Butz and P. Lingras (Eds. ): Canadian AI 2011, LNAI 6657, pp. 74–85, 2011. Springer-Verlag Berlin Heidelberg.
  18. Mendenhall, A. , Kim, C. & E. Johnson, T. (2011). Implementation of an Online Social Annotation Tool in a College English Course. D. Ifenthaler et al. (eds. ), Multiple Perspectives on Problem Solving and Learning in the Digital Age, DOI 10. 1007/978-1-4419-7612-3_20, Springer Science+Business Media.
  19. Sun, S. , Frank, Y. , Hung, Y, Chang, C. , Chen, K. , Shih-Sian, C. , Wang, H. & Liao, H. (2011). Automatic Annotation Of Web Videos. 978-1-61284-350-6/11, IEEE.
  20. Kremen,P. , Blaško, M. &Kouba, Z. (2009). Semantic Annotation of Objects, In: Handbook of Research on Social Dimensions of Semantic Technologies and Web Services. DOI: 10. 4018/978-1-60566-650-1. ch011. IGI Global.
  21. Dicheva, D. (2008), Ontologies and Semantic Web for E-Learning. In: "Handbook on Information Technologies for Education and Training, International Handbooks on Information Systems, pp 47-65, Springer Berlin Heidelberg.
  22. Ró?ewski, P. , Kusztina, E. , Tadeusiewicz, R. & Zaikin, O. (2011). Learning Object Methodology. In: Intelligent Open Learning Systems Concepts, Models and Algorithms. Springer-Verlag Berlin Heidelberg.
  23. Gasevic, D. , Jovanovic J. , and Devedzic V. (2007). Ontology-Based Annotation of Learning Object Content. Interactive Learning Environments Vol. 15, No. 1, April 2007, pp. 1 – 26. Taylor & Francis.
  24. Zhang, T. &Shen, R. (2009). Learning Objects Automatic Semantic Annotation by Learner Relevance Feedback. Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd. 978-1-4244-4134-1/09, IEEE.
  25. Dingli,A. (2011). Introducing Annotation. In: Knowledge Annotation: Making Implicit Knowledge Explicit, ISRL 16, pp. 3–17. Springer-Verlag Berlin Heidelberg.
  26. Kiryakov, A. ,Popov, B. , Terziev, I. , Manov, D. &Ognyan, D. (2004). Semantic annotation, indexing, and retrieval. Web Semantics: Science, Services and Agents on the World Wide WebVolume 2, Issue 1, 1 December 2004, Pages 49–79. Elseiever.
  27. Devedžic, V. (2006). Semantic Web And Education, ISBN: 0-387-35417-4, Springer Science+Business Media, LLC.
  28. Shafrir, U. & Etkind, M. (2006). E-Learning for depth in the Semantic Web, British Journal of Educational Technology, Vol 37 No 3 2006 425–444, Published by Blackwell Publishing, 9600 Garsington Road, Oxford OX4 2DQ, UK and 350 Main Street, Malden, MA 02148, USA.
  29. Karin, B. , Antonio, M. &Walt, T. (2007), Semantic Web: Concepts, Technologies and Applications, e-ISBN: 978-1-84628-710-7, Springer-Verlag London Limited.
  30. Liu, J. , Huang, B. &Chao, M. (2005). The Design of Learning Object Authoring Tool Based on SCORM. Proceedings of the Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05). 0-7695-2338-2/05, IEEE.
  31. McGreal, R. (2009). Learning Objects and Metadata Understanding the field. International Workshop on Technology for Education (T4E), Aug 4-6, 2009, Bangalore. 978-1-4244-5505-8/09, IEEE.
  32. Singh, G. , Bernard, M. & Gardler, R. (2004). Creating sharable learning objects From Existing Digital Course Content. WCAE '04 Proceedings of the 2004 workshop on Computer architecture education. ACM.
  33. Morgado, E. , Peñalvo, F. , Ruiz, Á. , Rego, H. & Moreira, T. (2008). Learning Objects for eLearning Systems. WSKS 2008, CCIS 19, pp. 153–162. Springer-Verlag Berlin Heidelberg.
  34. Mohan, P. , Brooks, C. (2003). Learning Objects on the Semantic Web. The 3rd IEEE International Conference on Advanced Learning Technologies (ICALT'03). 0-7695-1967-9/03,IEEE.
  35. Abad, C. (2008). Learning Through Creating Learning Objects Experiences with a Class Project in a Distributed Systems Course, ITiCSE'08, June 30–July 2, 2008, Madrid, Spain, Copyright 2008 ACM 978-1-60558-115-6/08/06.
  36. Mavrommatis,G. (2008). Learning objects and objectives towards automatic learning construction, European Journal of Operational Research 187 (2008) 1449–1458, doi:10. 1016/j. ejor. 2006. 09. 024, Elsevier B. V.
  37. Sharable Content Object Reference Model, http://www. adlnet. gov/Technologies/scorm/default. aspx.
  38. Neven, F. & Duval, E. (2002), Reusable Learning Objects: a Survey of LOM-Based Repositories, Multimedia'02, December 1-6, 2002, Juan-les-Pins, France, ACM 1-58113-620-X/02/0012.
  39. Kiryakov, A. , Popov, B. , Terziev, I. , Manov, D. & Ognyanoff, D. (2005). Semantic annotation, indexing, and retrieval. Elsevier's Journal of Web Semantics.
  40. Fouad, K. , Nagdy, N. & Harb, H. (2013). Adaptive E-Learning System Based on Semantic Search and Recommendation in the Arab World. In: Albadri, F. Information Systems Applications in the Arab Education Sector. DOI: 10. 4018/978-1-4666-1984-5. ch018. IGI Global.
  41. Reeve, L. & Han, H. (2005). Survey of Semantic Annotation Platforms. SAC'05, March 13-17, 2005, Santa Fe, New Mexico, USA. ACM 1-58113-964-0/05/0003.
  42. Li, H. , Tian, Y. , Ye, B. & Cai, Q. (2010). Comparison of Current Semantic Similarity Methods in WordNet. 20IO International Conference on Computer Application and System Modeling (ICCASM 2010). 978-1 -4244-7237-6/10, IEEE.
  43. Fellbaum, C. (2010). WordNet. Theory and Applications of Ontology: Computer Applications, 231, PP: 231-243, Springer Science+Business Media B. V.
  44. Lee, W. & Mit, E. (2011). Word Sense Disambiguation By Using Domain Knowledge. International Conference on Semantic Technology and Information Retrieval. 978-1-61284-353-7/11, IEEE.
  45. U. Siti, A. Rohiza, M. Shakirah. (2010). Ontology of Programming Resources for Semantic Searching of Programming Related Materials on the Web. 978-1-4244-6716-7110, IEEE.
  46. H. YUN, J. XU, M. J. XIONG. (2009). Development of Domain Ontology for E-learning Course, 978-1-4244-3930-0/09, IEEE.
  47. Stavredes, T. (2005). Shareable Learning Objects. In: Encyclopedia of Distance Learning. DOI: 10. 4018/978-1-59140-555-9. ch244. IGI Global.
  48. The Jorum Team. 2005. Report on Open Source Learning Object Repository Systems. Signed-Off by JISC. http://www. jorum. ac. uk/squeezy/cms/docs/pdf/JORUM_osswatch_final. pdf.
  49. LIU, X. , ZHOU, Y. & ZHENG, R. (2008). Measuring Semantic Similarity within Sentences. Proceedings of the Seventh International Conference on Machine Learning and Cybernetics, Kunming, 12-15 July 2008. 978-1-4244-2096-4/08, IEEE.
Index Terms

Computer Science
Information Sciences

Keywords

Learning object repository Semantic Web Domain ontology Semantic learning objects Semantic annotation LO refinement

Powered by PhDFocusTM