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
Thank you for your attention!