Topics of Interest

The workshop welcomes submissions covering all aspects of intelligent systems in e-learning, particularly related to issues about data, information, and knowledge in social and personalized learning, including:

• Ontologies and semantic Web for e-learning
• Metadata, folksonomies and tagging
• Knowledge management in e-learning systems
• Educational data mining
• Student data privacy and security
• Interoperability issues
• Intelligent learner and group modeling
• Collaborative filtering and recommendations for learners
• Social information retrieval
• Semantic social networks
• Knowledge community formation and support
• Web 2.0 and social computing for learning
• Virtual spaces for learning communities
• Web supported ubiquitous learning
• Web services in e-learning
• Mobile e-learning applications
• Adaptive and personalized learning environments
• Adaptive Web interfaces for learning scenarios
• Cognitive aspects in intelligent web-based learning systems
• Web-based cooperative learning
• Intelligent agent technology in web-based education
• Pervasive e-learning scenarios
• Lifelong learning networks
• Social software for collaborative learning
• Socially intelligent agents
• Community discovering in social learning systems
• Social structure exploitation in e-learning
• Socially-inspired e-learning systems