ITS 2019 (International Conference on Intelligent Tutoring Systems) is a CORE A conference held in Jamaica on 2019-06-03. The paper submission deadline is 2019-02-10 (extended). Acceptance notifications are sent on 2019-03-12.
ITS2019 is the upcoming Conference of the series of Intelligent Tutoring Systems Conferences on Computer and Cognitive Sciences, Artificial Intelligence and Deep Learning in Tutoring and Education. ITS2019 will be held in Jamaica from the 3-7 June, 2019.
Theme of the ITS2019 Conference
The ITS2019 Conference is about “Challenges in Artificial Intelligence – Pushing the Boundaries of ITS”. ITS2019 presents academic and research achievements of Computer and Cognitive Sciences, AI and Deep Learning vis-a-vis the advances of Intelligent Tutoring Systems. ITS2019 invites researchers to submit their papers.
Topics of Interest of the ITS2019 Conference
Topics of interest to the conference include, but are not limited to:
Intelligent Tutoring
Artificial Intelligence 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.