ITS 2018 - Intelligent Tutoring Systems (ITS) 2018 conference

The Intelligent Tutoring Systems (ITS) 2018 conference is the 14th in a series of top-flight international conferences on the use of advanced computer technologies and interdisciplinary research for enabling, supporting and enhancing human learning.
ITS 2018 Conference will celebrate 30 years of on going contribution in the field of Intelligent Tutoring Systems and will take place in the city and country of its birth: Montreal, Canada, in mid June 2018.
Theme of the Conference
The theme of ITS 2018 Conference traces the evolution of the academic and research achievements of the series of ITS Conferences from its birth up to now and explores its 30 years scientific impact in the field. ITS 2018 “A 30 Year Legacy of ITS Conferences” is expected to place a special emphasis on the new challenges aiming at combining this Legacy with the new Advancements in Artificial Intelligence. It aspires to regroup and promote high-quality research and trigger an exchange of ideas in the field, as well as to reinforce and expand the existing ITS network of researchers, academics, and market representatives.
Topics of Interest
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.