ITS 2020 : International Conference on Intelligent Tutoring Systems

in Conferences   Posted on November 27, 2019 

Conference Information

Submission Deadline Friday 07 Feb 2020 Proceedings indexed by :
Conference Dates Aug 6, 2020 - Aug 12, 2020
Conference Address Athens, Greece
Conference & Submission Link
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Impact Score 0
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Number of Editions: 16 (Since 1988)
Guide2Research Overall Ranking: 0

Conference Call for Papers

ITS2020 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. ITS2020 will be held in Athens, Greece from June 8 to 12, 2020.

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.
Affective Computing and Intelligent Tutoring Systems
Brain-Computer Interface applications in Intelligent Tutoring Systems
Analytics and Casual Modelling in Intelligent Tutoring

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