A modern tool for viewing the learning resources

  • Authors:
  • Mihai Gabriel;Liana Stanescu;Burdescu Dan Dumitru;Marius Brezovan;Eugen Ganea;Cosmin Stoica Spahiu

  • Affiliations:
  • Faculty of Automation, Computers and Electronics, University of Craiova, Craiova, Romania;Faculty of Automation, Computers and Electronics, University of Craiova, Craiova, Romania;Faculty of Automation, Computers and Electronics, University of Craiova, Craiova, Romania;Faculty of Automation, Computers and Electronics, University of Craiova, Craiova, Romania;Faculty of Automation, Computers and Electronics, University of Craiova, Craiova, Romania;Faculty of Automation, Computers and Electronics, University of Craiova, Craiova, Romania

  • Venue:
  • ICHL'09 Proceedings of the Second international conference on Hybrid Learning and Education
  • Year:
  • 2009

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Abstract

The paper presents a topic map graphical view successfully used in medical education. The technological development and the Internet contributed to the development of e-learning resources, repositories and digital libraries for medical domain. Because many of them are structured as databases, the paper proposes also an original algorithm for automated mapping of a relational database to a topic map. This process assumes topic generation corresponding to the database, tables, records and columns. It assumes also association building corresponding to relationships between tables, database and tables, tables and records, tables and columns. Topic maps include as basic elements topics and associations between them. At the basic level, topics represent in fact the learning objects stored in the database, and the associations represent the semantic relationships between them. The learners can use the topic map as a navigation tool. They can navigate through topic map depending on their interest subject, they can learn about the semantic context, in which a collection and its single items are embedded. The students in medical domain consider the proposed topic map graphical view very intuitive, especially because it allows the graphical visualization of the associations between topics that are in fact learning objects.