From Knowledge Management System to E-Learning Tool
Tang-Ho Lê (Université de Moncton, Canada), Chadia Moghrabi (Université de Moncton, Canada), John Tivendell (Université de Moncton, Canada), Johanne Hachey (Université de Moncton, Canada) and Jean Roy (Université de Moncton, Canada)
Copyright: © 2005
In this chapter, we try to bridge the gap between e-learning, knowledge management (KM), and the Semantic Web (SW) by identifying the principle properties and techniques that characterize each domain. We first note that although there is a major difference in the knowledge nature of each domain, however, there is a knowledge evolution and an interrelation throughout the three domains. Consequently, we should research methods of combining the strong techniques applied within each of them in order to satisfy the need of a particular work. In this perspective, we examine the similarities and differences, from a theoretical point of view, between the knowledge management systems (KMS) and the intelligent tutoring systems (ITS). We specifically focus on the knowledge transfer techniques in both systems such as the knowledge analysis needed to determine the knowledge content for both cases, the pedagogical planning for ITS, and the teaching model for KMS. Later, we examine the common task of ontology construction in the KM and SW domains and our recommendations. Next, we tackle the experimental issues by presenting our dynamic knowledge network system (DKNS), a general purpose KMS tool that is also used as self-learning software in several projects. This system is an appropriate tool for teaching procedural knowledge. Its functionality and simple implementation make it a user-friendly tool for both the lesson designer and the learner. We shall discuss and illustrate the didactic approach of DKNS in e-learning. Our goal is to teach laboratory users how to use the available equipment and software to create new-media artwork. Finally, we highlight some emerging trends in the three above-mentioned domains.