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Towards Topic Map-based e-Learning Environments

Poster, was published by Matthias Neubauer, Christian Stary, and Stefan Oppl at 2009-11-13

The poster introduces a multi-dimensional, learner-centered approach capturing social and technical issues.

External Link: more information

E-learning environments have shifted from organization- and teacher-centered settings to platforms for individual knowledge acquisition. They are supposed to trigger self-organized learning processes based on adaptable content representations. Individual learners should be able to explore content according to their mental model of the learning process itself, their current domain expertise, and their communication needs when learning. In this paper we revisit the idea of e-learning ontologies in terms of interactive design spaces coupling content with communication, as they can effectively guide developers in the transformation of learning tasks to features for human-computer interaction. We introduce a multi-dimensional, learner-centered approach capturing social and technical issues. The proposed Topic-Map-based representation scheme can be accessed from both, a content-, and an interaction-oriented perspective. In this way, it enables representations for both, individualized arrangement of content and communication, but also for immersive navigation, given a didactically relevant content structure for learning. Using standardized metadata, as given through XTM, the resulting systems are compatible with respect to content and communication.

Presented at

TMRA 2009

Conference in Leipzig from {{start}} to {{end}}


Call for Contributions TMRA 2009 will be the fifth event in the annual series of international conferences on Topic Maps Research and …

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I like the easy but powerful way of merging Topic Maps to extend and combine existing knowledge bases. Thus I see high potential in distributed environments where peer to peer solutions may open the gates to the real Web 3.0.

Marcel Hoyer
Topic Maps Lab auf der Cebit 2011

Graduate from the Topic Maps Lab