Semantic Language E-Learning Platform

Martin Jovanović, Milena Stanković, Dejan Todosijević

CIITLab, Faculty of Electronic Engineering Niš

Summary

• Semantic Web and E-learning

• DSi

• User experience

• Language learning scenarios

• Demonstration

Semantic Web and E-learning

• Semantic Web:

• Web based on data that are well structured, semantically related and machine-readable

• Inteligent agents can autonomously find and integrate data

• Shifting a large portion of the data search from people to the machines

• E-Learning:

• Individualized approach to the learner

• Teaching materials are divided into small units LO (learning object)

DSi (Drag and Drop Semantic Interface)

• DSi - framework for E-learning that provides a semantic annotation of learning material

• Easy access to the definitions of the links (relationships) between concepts (notions)

• Using drag-and-drop action on the textual materials users query it for these definitions

• Acceleration and linearization of learning

DSi User Experience

DSi User Experience

Language Learning Scenarios

• Scenario 1 – Learning definitions of new words (notions) by bringing them into relation with familiar ones

• Scenario 2 – Learning exact relation between two notions (expressed with words)

Language Learning Scenarios

• Scenario 3 – providing hints in testing situations

Conclusion and further development

•No restriction when it comes to the form and content of relations in the semantic layer

•Any two notions can be crossed (dragged and dropped onto each other)

•Absence of formal structure in relations prevents the framework from any automated and autonomous reasoning

Demonstration

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