Positioning of Learners in Learning Networks with Content Analysis, Metadata and Ontologies

Abstract

Positioning in learning networks is a process that assists learners in finding a starting point and an efficient route through the network that will foster competence building. In the past we explored computational approaches to positioning that are based on the contents of the learning network and the behavior of those participating in it, more or less ignoring different efforts to stimulate positioning and competency development from a top-down-perspective. In this paper we introduce and compare strategies for positioning and give a research outlook for computerassisted positioning.