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ITS 2022 : Intelligent Tutoring Systems Conferences on Computer and Cognitive Sciences, Artificial Intelligence and Deep Learning in Tutoring and Education


Conference Series : Intelligent Tutoring Systems
When Jun 27, 2022 - Jul 1, 2022
Submission Deadline Jan 15, 2022
Notification Due Feb 28, 2022
Final Version Due Mar 31, 2022
Categories    computer and cognitive science   artificial intelligence   cognitive sciences   artificial intelligence

Call For Papers

ITS2022 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. It will be held in Bucharest, Romania, in June/July 2022 and will be hosted by Bucha- rest Polytechnic. The theme of the conference is “NEW CHALLENGES FOR ITS DURING AND AFTER COVID”.

ITS2022 announces an open CFP and invites authors to submit their contributions in the form of scientific papers, posters, doctoral consortium papers, workshop/tutorial proposals by JANUARY 15, 2022. Acceptance notification will be sent to authors by FEBRUARY 28, 2022. Paper submission should be made through the Easy Chair platform.

Topics of Interest include, but are not limited to:
 Intelligent Tutoring
 Learning Environments for Underrepresented Communities  Artificial Intelligence in Education
 Human in the Loop, Understanding Human Learning on the Web in a Virtual (Digital) World  Machine Behaviour (MB), Explainable AI, Bias in AI in Learning Environments
 Emotions, Modeling of Motivation, Metacognition and Affect Aspects of Learning, Affective Computing and ITS
 Extended Reality (XR), Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR) in Learning Technologies
 Informal Learning Environments, Learning as a Side Effect of Interactions
 Collaborative and Group Learning, Communities of Practice and Social Networks
 Analytics and Deep Learning in Learning Systems, Educational Datamining, Educational Ex- ploitation of Data Mining and Machine Learning Techniques
 Sentiment Analysis in Learning Environments
 Data Visualization in Learning Environments
 Privacy, Security and Ethics in Learning Environments
 Gamification, Educational games, Simulation-based Learning and serious games
 Brain-Computer Interface applications in Intelligent Tutoring Systems
 Dialogue and Discourse During Learning Interactions
 Ubiquitous, Mobile and Cloud Learning Environments
 Virtual Pedagogical Agents and Learning Companions
 Multi-Agent and Service-Oriented Architectures for Learning and Tutoring Environments
 Single and GroupWise Action Modelling in Learning Environments
 Ontological Modeling, Semantic Web Technologies and Standards for Learning
 Empirical Studies of Learning with Technologies
 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, Med- icine, Military and Industry
 Non-Conventional Interactions between Artificial Intelligence and Human Learning  Personalized and Adaptive Learning Environments
 Adaptive Support for Learning, Models of Learners, Diagnosis and Feedback  Recommender Systems for Learning
 Causal Modelling and Constraints-based Modelling in Intelligent Tutoring

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