ITS 2012 - 11th International Conference on Intelligent Tutoring Systems

The website for the 11th International Conference on Intelligent
Tutoring Systems on June 14-18th 2012
held at the beautiful city of Chania on the island of Crete in GREECE is
up and running !
Program Committees, important dates and details of the conference can be
found at the ITS 2012 Website:http://its2012.teicrete.gr/
The main theme for this conference will be "Co-adaptation with Learning".
Please note that The/Educational Data Mining Conference (EDM)/ is
taking place after the main ITS 2012 Conference on June 19th to June
21st 2012.
*:: ITS 2012 Conference Chairs ::*
* Stefano A. Cerri, <http://www.lirmm.fr/%7Ecerri/> University of
Montpellier,
France, Chair
* William Clancey <http://bill.clancey.name/>, NASA, USA, co-Chair
*:: ITS 2012 Important Dates* ::
*Event*
*Submission*
*Acceptance Notification*
*Final Version Due*
Conference Papers
January 23, 2012
March 1, 2012
March 16, 2012
Student Track Papers
January 23, 2012
March 1, 2012
March 16, 2012
Workshop Proposals
January 30, 2012
February 17, 2012
--
Workshop Papers
March 15, 2012
April 30, 2012
May 15, 2012
Special Event Proposal
January 30, 2012
February 17, 2012
Conference Program
Topics of interest to the conference include, but are not limited to:
Co-adaptation between technologies and human learning
Intelligent tutoring
Informal learning environments, learning as a side effect of interactions
Collaborative and group learning, communities of practice and social networks
Simulation-based learning, intelligent (serious) games
Ubiquitous and mobile 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 or learning companions
Discourse during learning interactions
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 domains, e.g. language, mathematics, reading, science, medicine, military, and industry.
Non conventional interactions between artificial intelligence and human learning
More information will be added soon.