Conference Information

ITS 2019: International Conference on Intelligent Tutoring Systems

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Submission Date:
2019-02-10 Extended
Notification Date:
2019-03-12
Conference Date:
2019-06-03
Location:
Jamaica
Years:
15
ICORE: B   Viewed: 23435   Tracked: 3   Attend: 1

Call For Papers

ITS 2019 (International Conference on Intelligent Tutoring Systems) is a ICORE B 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.
Last updated by Dou Sun on

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