Flexible and Exploratory Learning by Polyscopic Topic Maps
Flexible and active education calls for a comprehensive restructuring of the traditional university course format. Such restructuring can be done in a natural and coherent way by implementing Topic Maps in e-learning. In this paper we describe Polyscopic Topic Maps, an information structuring method which is being developed by the authors, a university course model called Flexplearn which is based on this approach, and a prototype Flexplearn course where our model is currently being implemented, used and tested. We also describe BrainBank Learning, a Topic Map-driven application, for learning of concepts and concept relations that we are implementing with Flexplearn.
Citation:
Dino Karabeg, Rolf Guescini, Tommy W. Nordeng, "Flexible and Exploratory Learning by Polyscopic Topic Maps," icalt,pp.946-947, Fifth IEEE International Conference on Advanced Learning Technologies (ICALT'05), 2005