Open learning repositories and metadata modeling

Abstract

. Building repositories for e-learning is an iterative process and course content and course structure are always changing. We realized the necessity to separate content from structure of a given course during the conception of our first e-learning repository, which we called KBS-Hyperbook, several years ago at our institute. This system has been built around a conceptual model for structure and contents of the domain, which is expressed in the O-Telos conceptual modelling language. To ease exchange of metadata between such repositories, the Open Learning Repository (OLR), an e-learning repository we built during the last year to experiment with various features useful for such repositories, has been developed using RDF/RDFS as modelling language. In the first part of this paper, we describe the OLR system in more detail, and show how it uses RDF/RDFS as its underlying modelling language to express information about the learning objects contained in the repository, as well as information about the relationships between these learning objects. Based on our experience in meta-modelling using different modelling languages, we will in the second part of this paper discuss RDF/RDFS and O-Telos modelling in more depth and will analyse similarities and differences of these two modelling languages. Keywords Meta-modelling, RDF/RDFS, conceptual modelling, hypermedia, learning repositories. 1 The Open Learning Repository 1.1 Motivation Our Open Learning Repositories aim at metadata-based course portals, which structure and connect modularised course materials over the Web. The modular content can be distributed anywhere on the internet, and is integrated by explicit metadata information in order to build courses and connected sets of learning materials. Modules can be reuse...