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This paper deals with the problematic of the structured personal learning environment design. We describe our approach which has the particularity to put some order within personal learning environment. Moreover, we propose in our approach to assist the learner in the more complex phases of his learning. In fact, an effective learning experience must be based on a clear learning objective and a detailed...
Nowadays, many Learning Environments provide a tailored and personalized learning experience to learners on the basis of information collected implicitly or explicitly about them. Several studies have been carried out concerning personalization to provide a personalized environment when using a learning management system. However, these systems cannot be adapted to all kind of learners regardless...
In this paper we describe OBSemE an ontology-based semantic metadata extraction system which implement our approach dedicated to the automatic extraction of semantic metadata for learning objects. The process of semantic metadata extraction is based on ontology metadata information extraction method's principles. This choice is due to the advantages of the use of ontologies. The input of our system...
Many Learning Management Systems (LMS) are available today and they are widely used. Many e-learners use two or more LMS simultaneously for different kinds of learning. The research question discussed in this paper is: how learners can beneficiate from their learning activities whatever the used LMS? We propose in this paper our approach to support the sharing of learners' activity traces when an...
In this paper we describes our approach for automatic generation of learning objects' semantic metadata. The extraction process is based on the OBIE (Ontology Based Information Extraction) systems' principles. The input of our approach is a set of IEEE LOM metadata elements in conformance with two requirements. First, each data element must describe the educational content of the learning object....
In this paper we describes our approach for automatic generation of learning objects' semantic metadata. The extraction process is based on the OBIE (Ontology Based Information Extraction) systems' principles. The input of our approach is a set of IEEE LOM metadata elements in conformance with two requirements. First, each data element must describe the educational content of the learning object....
Many Learning Management Systems (LMS) are available today and they are widely used. Many e-learners use two or more LMS simultaneously for different kinds of learning. The research question discussed in this paper is: how learners can beneficiate from their learning activities whatever the used LMS? We propose in this paper our approach to support the sharing of learners' activity traces when an...
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...
Semantic metadata are not yet fully integrated in most learning metadata profiles. Moreover, when it is supported it is only used to improve the quality of results returned by search engines in LOR (learning object repositories) and LMS (Learning Management Systems). Within the framework of APOGE project, we want to demonstrate the usability of semantic metadata, when they are provided, during the...
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