Information seeking in electronic environments
Information seeking in electronic environments
The Virtual Dimension: Architecture, Representation, and Crash Culture
The Virtual Dimension: Architecture, Representation, and Crash Culture
Dynamic Taxonomies: A Model for Large Information Bases
IEEE Transactions on Knowledge and Data Engineering
Animated Exploration of Dynamic Graphs with Radial Layout
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
Information foraging models of browsers for very large document spaces
AVI '98 Proceedings of the working conference on Advanced visual interfaces
Exploratory search: from finding to understanding
Communications of the ACM - Supporting exploratory search
Clustering versus faceted categories for information exploration
Communications of the ACM - Supporting exploratory search
Dogear: Social bookmarking in the enterprise
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Elastic lists for facet browsers
DEXA '07 Proceedings of the 18th International Conference on Database and Expert Systems Applications
An operational definition of context
CONTEXT'07 Proceedings of the 6th international and interdisciplinary conference on Modeling and using context
MACE - enriching architectural learning objects for experience multiplication
EC-TEL'07 Proceedings of the Second European conference on Technology Enhanced Learning: creating new learning experiences on a global scale
Introducing a social backbone to support access to digital resources
EC-TEL'10 Proceedings of the 5th European conference on Technology enhanced learning conference on Sustaining TEL: from innovation to learning and practice
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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.