The week's pick
Reseach Article
Automatic Identification of Learning Object Type
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 42 - Number 7 |
| Year of Publication: 2012 |
| Authors: Sonal Jain, Jyoti Pareek |
10.5120/5703-7687
|
Sonal Jain, Jyoti Pareek . Automatic Identification of Learning Object Type. International Journal of Computer Applications. 42, 7 ( March 2012), 7-10. DOI=10.5120/5703-7687
Abstract
With energetic development of the Internet, online learning object repositories and web based learning systems have become more and more realistic and popular in the past ten years. One of the essential characteristics of learning object is, it should be discoverable depending on its characteristics. This usually entails tagging them with appropriate descriptive metadata. Learning is a cognitive activity that differs from student to student. Achieving personalization and adaptability is not possible till the learning objects are properly attributed. Again metadata instantiation is a difficult task. The Dublin Core metadata element set and IEEE Learning object metadata are two popular metadata standards that facilitate tagging of learning material. This paper showcases automatic identification of Learning Object Type. Experimental evaluation and results depict satisfaction level of users.
References
- B. Chandrasekaran, J. R. Josephson, V. R. Benjamins, (1999), What are ontologies, and why do we need them?, IEEE Intelligent Systems, 14(1), pp. 20–26
- Dalton, J. & Smith, D. (1986), Extending Children's Special Abilities – Strategies for primary classrooms, pp. 36-37
- DublinCore, http://dublincore. org/
- Duval, E. , Hodgins, W. (2004), Metadata matters. Proceedings of International Conference on Metadata and Dublin Core Specification, DC-2004, Shanghai, China.
- Friesen, N. (2004), International LOM survey: Report. ISO/IEC JTCI/SC36 subcommittee, http://mdlet. jtc1sc36. org/doc/SC36_WG4_N0109. pdf.
- Hatala, M. , Forth (2003), S. System for Computer-aided Metadata Creation, In Proceedings of 12th International Conference of The World Wide Web Consortium (WWW2003), Budapest, May 20-24.
- IEEE LTSC, IEEE Learning Technology Standards Committee, http://www. ieeeltsc. org
- Leacock, T. , Farhangi, H. , Mansell, A. , Belfer, K (2001), Infinite Possibilities, Finite resources: The TechBC Course development Process, Proceedings of the 4th Conf. on Computers and Advanced Technology in Education (CATE 2001), June 27-29, Banff, Canada, pp. 245-250.
- Marko a. Rodriguez, Johan Bollen, Herbert van de sompel (2009), Automatic Metadata Generation Using Associative Networks, ACM Transactions on Information Systems, Vol. 27, No. 2, Article 7.
- M. Meire, X. Ochoa, and E. Duval (2007), SAmgI: Automatic Metadata Generation v2. 0, Proceedings of World Conference on Educational Multimedia, Hypermedia and Telecommunications, pp. 1195-1204.
- Ochoa, X. , Cardinaels, K. , Meire, M. , & Duval, E. (2005), Frameworks for the Automatic Indexation of Learning Management Systems Content into Learning Object Repositories. World Conference on Educational Multimedia, Hypermedia & Telecommunications, EDMEDIA 2005, Montreal, Canada, pp. 1407-1414.
- Paramjeet Singh Saini, Marco Ronchetti, Diego Sona (2006), Automatic Generation of Metadata for Learning Objects, Sixth IEEE International Conference on Advanced Learning Technologies, pp. 275-279.
- Sonal Jain, Dr. Jyoti Pareek, Automatic Topic(s) Identification from Learning material: An Ontological Approach, IEEE Explore, Print ISBN 978-0-7695-3982-9, INSPEC Accession Number: 11242737, Digital Object Identifier: 10. 1109/ ICCEA. 2010. 221
Index Terms
Keywords