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Category ITS 2012
Deadline: January 23, 2012 | Date: June 14, 2012-June 18, 2012
Venue/Country: Crete, Greece
Updated: 2012-03-08 10:20:22 (GMT+9)
The main theme for this conference will be "Co-adaptation with Learning".Please note that The/Educational Data Mining Conference (EDM)/ istaking place after the main ITS 2012 Conference on June 19th to June21st 2012.*:: ITS 2012 Conference Chairs ::** Stefano A. Cerri, <http://www.lirmm.fr/%7Ecerri/
> University ofMontpellier,France, Chair* William Clancey <http://bill.clancey.name/
>, NASA, USA, co-Chair*:: ITS 2012 Important Dates* ::*Event**Submission**Acceptance Notification**Final Version Due*Conference PapersJanuary 23, 2012March 1, 2012March 16, 2012Student Track PapersJanuary 23, 2012March 1, 2012March 16, 2012Workshop ProposalsJanuary 30, 2012February 17, 2012--Workshop PapersMarch 15, 2012April 30, 2012May 15, 2012Special Event ProposalJanuary 30, 2012February 17, 2012Conference ProgramTopics of interest to the conference include, but are not limited to:Co-adaptation between technologies and human learningIntelligent tutoringInformal learning environments, learning as a side effect of interactionsCollaborative and group learning, communities of practice and social networksSimulation-based learning, intelligent (serious) gamesUbiquitous and mobile learning environments Empirical studies of learning with technologies, understanding human learning on the WebAdaptive support for learning, models of learners, diagnosis and feedbackModeling of motivation, metacognition, and affect aspects of learningRecommender systems for learningVirtual pedagogical agents or learning companionsDiscourse during learning interactionsOntological 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 techniquesInstructional design principles or design patterns for educational environmentsAuthoring tools and development methodologies for advanced learning technologiesDomain-specific learning domains, e.g. language, mathematics, reading, science, medicine, military, and industry.Non conventional interactions between artificial intelligence and human learningMore information will be added soon.Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
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