| ARTICLES | Am. J. innov. res. appl. sci. Volume 2, Issue 1, Pages 1-36 (January 2016)
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Research Article
| Abdulbasit Nuhu Musa | Zahraddeen Sufyanu | and | Musa Shuaibu |. Am. J. innov. res. appl. sci. 2016; 2(1):25-29.
| PDF FULL TEXT | | Received | 27 December 2015| | Accepted | 8 January 2015| |Published | 20January 2016|
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This iarticle is made freely available as part of this journal's Open Access: | Adullbassit Manuscript.Ref3-ajiras271215 |
Affiliation :
1. Faculty of Informatics and Computing | Universiti Sultan Zainal Abidin (UniSZA) | Kuala Terengganu| Malaysia|
Authors Copyright © 2015: | Abdulbasit Nuhu Musa1| Zahraddeen Sufyanu1| and |Musa Shuaibu1|
GENERAL INFORMATION
American Journal of Innovative Research & Applied Sciences
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American Journal of innovative
Research & Applied Sciences
Indexed by:
ISSN 2429-5396 (Online)
ABSTRACT
Background: Many efforts are put forward towards harnessing the demand for developing well-organized models for learning object via the use of technological resources. The modeling of learning object is a mechanism used to formalize the flow of activities, roles and actors that are needed for its structuration. It is a laborious task aimed to produce high quality educational materials for teaching and learning. Objectives: As a result, several learning object modeling techniques have been specifically developed to provide fundamental activities in relation to the development of the learning materials. Methods: However, the structure of the techniques and the composite nature of the learning object are still open to interpretations and discussions due to the limited availability of the models. Results: The present study discusses certain modeling methods designed for managing learning object in the educational arena. A number of modeling approaches were intensively reviewed to depict the processes in handling learning object and its modeling. Conclusions: The study provides a comparative analysis for learning object, to advance the understanding of its structuration, modeling and composite nature.
Keyword: Learning Object Modeling, Learning Object Structuration, Learning Object Standards