Supporting architecture education using the MACE system

Martin Wolpers, Martin Memmel, Moritz Stefaner

In: International Journal of Technology Enhanced Learning (IJTEL) 2 1/2 Seiten 132-144 Inderscience 2010.


Abstract: Today, digital learning resources in architecture are spread over a growing number of repositories world-wide. Students of architecture face increasing problems finding and being aware of appropriate learning resources they need within their collaborative and/or exploratory learning scenarios. The Metadata for Architectural Contents in Europe (MACE) system addresses these issues by intelligently aggregating and linking information about learning resources from various repositories. We show how, by establishing explicit relations between the learning resources and by adding community features, students are supported in their learning activities. First experiments indicate that the chosen approach improves the results students can achieve in their studies.


Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence