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ITMLS 2017 : Intelligent Technologies and Methodologies of Learning Systems

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Link: http://codit2017.com/index.php/special-sessions
 
When Apr 5, 2017 - Apr 7, 2017
Where Barcelona - Spain
Submission Deadline Dec 4, 2016
Notification Due Feb 2, 2017
Final Version Due Feb 20, 2017
Categories    learning systems   intelligent technologies   data mining   information technology
 

Call For Papers

Session Co-Chairs:
Prof. Dr. Abdel-Badeeh M. Salem , Ain Shams University, Cairo, Egypt Prof. Dr. Milková Eva , University of Hradec Kralove, Králové, Czech Republic

Call for Papers: http://codit2017.com/Special%20Sessions/Special-Session-CoDIT2017-Lyapunov-Control.pdf

Session description:
This special session deals with the intelligent technologies, methodologies and machine learning techniques which are used in developing intelligent learning systems. On the other side, the convergence of artificial intelligence technology , educational technology ,data science, and web technology is enabling the creation of a new generation of web-based intelligent e-learning systems.
The goal of ITMLS’17 session is to bring together scientists engaged in knowledge engineering, artificial intelligence ,educational technology, computational thinking, and Web technologies. It will provide a forum for identifying important opportunities and contributions for recent research on the different intelligent methodologies and techniques for developing intelligent e-Learning systems as well as smart education.
The topics of interest include, but are not limited to:
• Algorithmic and Computational Thinking
• Intelligent Tutoring Systems
• Knowledge Engineering and Representation Techniques for e-Learning
• Reasoning Techniques
• E-Testing and new Test Theories
• Data Mining and Knowledge Discovery in e-learning
• Data Science in e-Learning
• Machine Learning in e-Learning
• Web-based Learning, Wikis and Blogs
• Authoring Tools and Content Development
• Assessment Software Tools
• Ontological Engineering in e-Learning
• Visualization and Animation in Education
• Virtual laboratories and Learning Environment
• Semantic Web, Social Software and Wikis for Knowledge Management
• Graph Theory and Combinatorial Optimization.
• Software Engineering in Intelligent Educational Systems Design
• Mobile Learning Technologies
• Smart Online learning tools and technologies
• Smart Educational Portals
• Cooperation with Industry in Education
• International Projects and Relevant Applications

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