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 competence development from a top-down-perspective. In this paper we introduce a research agenda for positioning in learning networks, discuss several cases and give an outlook on the development of a positioning service for learning networks.
- learning networks
- latent semantic analysis