Reconstruction of a Link-List Type Learning System into an Explorative Virtual Learning Portal Based on an Avatar–Agent Model

Abstract

This study describes the reconstruction of our Topic Maps-based e-learning system into an explorative online learning portal. Topic map ontology provides a structured system of knowledge, learning resources, a webpage design, and methods of recommendation. The previous system’s webpages were essentially organized link lists annotated with learning records and evaluations. The purpose of this study was to transform the previous site into a virtual environment portal that facilitates explorative self-learning. For this purpose, an avatar– agent model was introduced, with the avatar representing the learner and the agent representing the system and instructor. This model implements the visualization of personal learning development and motivates exploration based on communication.