In this paper we discuss an interactive visualization application that aims to visualize a large repository of small reusable content components that were created by disaggregating legacy content. The purpose of this decomposition is to produce content that can be automatically reused in on-the-fly assemblies of new learning objects. The purpose of the visualization application is to offer insight in the structure of the contents of the repository and to enable access to them in an effective and efficient way.
The ELA-LogNet is an educational network of persons and institutions involved in logistics education and training and interested in supporting it by use of multimedia and information technologies. It focuses on enabling logistics educators and trainers to introduce any kinds of educational multimedia and technologies to their educational processes as knowledgeable consumers or well acquainted supervisors or even to become enthusiastic multimedia developers. For this, not only an appropriate technological infrastructure is required, but also an organizational basis and culture encouraging collaboration and exchange to the benefit of all of the network’s members. The paper will discuss these aspects on the basis of experience gained within the ELA-LogNet to help educational networks to encourage knowledge sharing and overcome knowledge hiding despite competitive situations.
People need information to create new knowledge. For each piece of information obtained, a range of previous knowledge, competences, beliefs and own concept definitions significantly influence personal perception and one’s knowledge creation. This in turn, affects the ability to remember, reason, solve problems and interpret information. These issues have to be considered when planning knowledge management systems, in which information retrieval and handling, reuse, people interaction, knowledge interchange and dissemination comprise its characteristics. This paper is based on the Knowledge Object definition from Merrill and proposes an approach which more precisely enables Knowledge Object representation, taking into account the domain in which a KO is used, a range of previous knowledge, competences, beliefs, concept definitions, user profile and recommendation from community users.
Current E-Learning solutions are not sufficiently aware of the context of the learner, i.e. the individual characteristics, the organization and the work processes and tasks. This can be achieved by modular learning objects and semantical metadata for their contextualization. This allows to deliver learning material that is relevant to the current situation of the learner. This paper presents the general approach and the architecture.