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Communication Dans Un Congrès Année : 2011

Towards a better understanding of learning objects content

Résumé

Usually semantic metadata are introduced to support effective search of relevant learning objects from LOR (Learning Object Repositories). We propose to use them to assist authors of SCORM (Sharable Content Object Reference Model) like learning objects. In fact, when we design new learning objects by reuse of existing ones, there are risks to have weaknesses mainly due to a bad understanding of the true nature of the reused objects. To overcome those risks we have defined an automated authoring assistance approach. In this paper we focus especially on how we use semantic metadata to produce indicators about the content of learning objects, more precisely about their complexity, heterogeneity and imbalance from a semantic perspective. To attend this specific objective we introduce the notion of "semantic space" and "semantic component". Then we use them to compute metrics which are aggregated together to produce meaningful indicators
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Dates et versions

hal-01303849 , version 1 (18-04-2016)

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Citer

Ramzi Farhat, Bruno Defude, Mohamed Jemni. Towards a better understanding of learning objects content. ICALT 2011 : 11th IEEE International Conference on Advanced Learning Technologies, Jul 2011, Athens, Ga, United States. pp.536 - 540, ⟨10.1109/ICALT.2011.165⟩. ⟨hal-01303849⟩
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