Personalization in distributed e-learning environments

Peter Dolog, Nicola Henze, Wolfgang Nejdl, Michael Sintek

2004 · 54 citations · 0 references

Concepts

TL;DR

Personalized support is increasingly vital in open, dynamic e‑learning networks, yet existing adaptive systems lack integration with such repositories. The study demonstrates how to realize personalized learning support in distributed environments using Semantic Web technologies, filling the gap between adaptive systems and open learning repositories, and proposes a service‑based architecture for personalized e‑learning. The authors implement a service‑based architecture featuring a Personal Learning Assistant that integrates web‑service personalization and supporting services to deliver tailored access to learning resources via Semantic Web technologies.

Abstract

Personalized support for learners becomes even more important, when e-Learning takes place in open and dynamic learning and information networks. This paper shows how to realize personalized learning support in distributed learning environments based on Semantic Web technologies. Our approach fills the existing gap between current adaptive educational systems with well-established personalization functionality, and open, dynamic learning repository networks. We propose a service-based architecture for establishing personalized e-Learning, where personalization functionality is provided by various web-services. A Personal Learning Assistant integrates personalization services and other supporting services, and provides the personalized access to learning resources in an e-Learning network.