Implementation and Evaluation of an Indexing Model of Teaching and Learning Resources. (2nd June 2015)

• Record Type: Journal Article
• Authors: Guemmat, Kamal EL; Lahmar, El habib BEN; Talea, Mohamed; Lamrani, El Khadir
• Is Part Of: Procedia--social and behavioral sciences. Volume 191(2015)
• Page Start: 1266
• Page End: 1274
• Publication Date: 2015-06-02
• Subjects: TLR -- Indexing -- LOM -- Ontology -- Validate -- E-Learning; Social sciences -- Periodicals; Social sciences -- Congresses; Arts -- Periodicals; Arts -- Congresses; Humanities -- Periodicals; Humanities -- Congresses; 300
• DOI: 10.1016/j.sbspro.2015.04.654
• Languages: English
• ISSNs: 1877-0428

Abstract

Abstract: With the advent of teaching and learning resources (TLR), indexing becomes essential to ensure his identification, adaptation, reuse and sharing.Several Models indexing of TLR emerged.The problem is to go on a coherent model that would ensure interoperability between stakeholders in the learning domain (designer, developer, teacher resource center) and between systems that manage these resources.There are several standard of TLR indexing among them (DUBLIN CORE, LOM, SCORM, IMS-LD…) and we have the models to represent the semantic context of the content and have a combination of both.We designed our previous contributions Model entitled MIMTLR(El Guemmat et al., 2013a ), which defines a Multi indexing model of Teaching and Learning Resources that aims to enhance the limited indexing LOM standard, with a semantic content indexing is based on ontology's. The purpose of this paper is to evaluate, implemented of MIMTLR and validate itby a programming languages, to ensure that it best meets the constraints provide by a powerful model indexing of TLR.We will present simulation and the advantages of this model that meets the needs identified in the development of teaching and learning resources that will be useful for those involved in information and communication technology for teaching and learning (ICTTL) especially E-Learning.