home > library > publications > towards topic map-based e-learning environments

close subject identifiers for Towards Topic Map-based e-Learning Environments
  • http://www.topicmapslab.de/publications/TMRA_2009_topic_map_based_elearning_environments

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 …

Visit homepage of TMRA 2009


Follow us on Twitter


Topic Maps provides a proven means for data integration scaling to the
web, as well as a core technology for our highly flexible applications
with largely autogenerated frontend structures.

Stefan Kesberg
topicWorks Navigator
Topic Maps Lab auf der Cebit 2011

Graduate from the Topic Maps Lab