Towards Semantically Enriched E-learning Assessment: Ontology-Based Description of Learning Objects

Abstract

The aim of this paper is to present the progress done in the development of an ontology network, named AONet that conceptualizes the e-assessment domain and supports the semi-automatic generation of assessment. Particularly, this paper is focused on ontology-based description of assessment as an educational resource, including the mappings between metadata standard specifications. The hypothesis of this work is that a proper description of assessment resources improves its location and retrieval by educators, learners and software systems and favors reuse and collaborative work.