Topics of interest to the conference include, but are not limited to:

• Intelligent Tutoring

• AI in Education

• Educational Datamining

• Machine Learning in Intelligent Tutoring Systems

• Deep Learning and Intelligent Tutoring Systems

• Informal Learning Environments, Learning as a Side Effect of Interactions

• Collaborative and Group Learning, Communities of Practice and Social Networks

• Simulation-based Learning and Serious Games

• Dialogue and Discourse During Learning Interactions

• Ubiquitous, Mobile and Cloud Learning Environments

• Empirical Studies of Learning with Technologies

• Understanding Human Learning on the Web

• Adaptive Support for Learning, Models of Learners, Diagnosis and Feedback

• Modeling of Motivation, Metacognition and Affect Aspects of Learning

• Recommender Systems for Learning

• Virtual Pedagogical Agents and Learning Companions

• Ontological Modeling, Semantic Web Technologies and Standards for Learning

• Multi-Agent and Service Oriented Architectures for Learning and Tutoring Environments

• Educational Exploitation of Data Mining and Machine Learning Techniques

• Instructional Design Principles or Design Patterns for Educational Environments

• Authoring Tools and Development Methodologies for Advanced Learning Technologies

• Domain-Specific Learning Technologies, e.g. Language, Mathematics, Reading, Science, Medicine, Military and Industry

• Non Conventional Interactions Between Artificial Intelligence and Human Learning

• Privacy and Security in e-Learning Environments