This article reports comparison results from studying the alignment of selected metadata models, used to manage E-Learning Materials (ELM) in the medicine and healthcare education, against the accreditation standards of the European Accreditation Council for Continuing Medical Education (EACCME). The study aims to (1) illustrate the variety of…

The ability to effectively administrate educational resources in terms of accessibility, reusability and interoperability lies in the adoption of an appropriate metadata schema, able of adequately describing them. A considerable number of different educational metadata schemas can be found in literature, with the IEEE LOM being the most widely…

This paper aims to give a general review of existing literature on adaptive educational hypermedia systems and to reveal technological trends and approaches within these studies. Fifty-six studies conducted between 2002 and 2012 were examined, to identify prominent themes and approaches. According to the content analysis, the new technological…

The framing of "implementation" of learning technologies in universities can have profound effects on approaches to teaching and learning that may be insufficiently acknowledged by practitioners. This paper investigates a case that demonstrated the formation of strong connections between technology and pedagogy, in which a learning…

The success of communities generally implies both growth of the participants (and thus of their contributions), and an increasing array of services offered. For this reason, it is often difficult for new users to fully understand the potential of the community, while for expert users it becomes difficult both to manage the resources available in…

Selecting appropriate learning services for a learner from a large number of heterogeneous knowledge sources is a complex and challenging task. This article illustrates and discusses how Semantic Web technologies such as RDF [resource description framework] and ontology can be applied to e-learning systems to help the learner in selecting an…

Personalized adaptive learning requires semantic-based and context-aware systems to manage the Web knowledge efficiently as well as to achieve semantic interoperability between heterogeneous information resources and services. The technological and conceptual differences can be bridged either by means of standards or via approaches based on the…

E-learning has the potential to offer significant advantages over traditional classroom learning. However, it requires a complete redefinition of the dynamics of interaction between the various actors of a classroom. Moreover, in this context, the authoring of instructional material requires much more time than in traditional learning. Therefore,…

Ideally, learning resources should be built over a shared pool of fine reusable granular learning objects. However, in order to avoid contextual lacks, dynamic creation of such resources would mostly rely on the conceptual relationships among learning objects inside a repository. These conceptual relationships, as well as the learning objects…

IMS Learning Design (IMS-LD) is a promising technology aimed at supporting learning processes. IMS-LD packages contain the learning process metadata as well as the learning resources. However, the allocation of resources--whether data or services--within the learning design is done manually at design-time on the basis of the subjective appraisals…

The sharable content object reference model (SCORM) includes a representation of distance learning contents and a behavior definition of how users should interact with the contents. Generally, SCORMcompliant systems were based on multimedia and Web technologies on PCs. We further build a pervasive learning environment, which allows users to read…

The development of a large body of e-­learning specifications, such as IMS and SCORM, has led to the proposal for a new way to facilitate content workflow. This involves the movement of educational digital content and the knowledge of pedagogical communities into an online space. Several projects have looked at the theoretical structure of these…

The big question for many researchers in the area of educational systems now is what is the next step in the evolution of e-learning? Are we finally moving from a scattered intelligence to a coherent space of collaborative intelligence? How close we are to the vision of the Educational Semantic Web and what do we need to do in order to realize it?…

Metadata enables users to find the resources they require, therefore it is an important component of any digital learning object repository. Much work has already been done within the learning technology community to assure metadata quality, focused on the development of metadata standards, specifications and vocabularies and their implementation…

Learning Objects Metadata (LOM) aims at describing educational resources in order to allow better reusability and retrieval. In this article we show how additional inference rules allows us to derive additional metadata from existing ones. Additionally, using these rules as integrity constraints helps us to define the constraints on LOM elements,…