• (+30) 2105232044
  • info@iis-international.org
  • Athens, Greece

The ITS 2010 conference is part of an on-going bi-annual series of top-flight international conferences on the use of advanced educational technologies that are adaptive to users or groups of users. These highly interdisciplinary conferences bring together researchers in the learning sciences, computer science, cognitive or educational psychology, cognitive science, artificial intelligence, machine learning, and linguistics.


The theme of the ITS 2010 conference is Bridges to Learning, a theme that connects the scientific content of the conference and the geography of the city. The conference will address the use of advanced technologies as bridges for learners and facilitators to robust learning outcomes. It will encompass all aspects of learning with advanced technologies, including cognitive, social, affective, and motivational aspects. The conference will address the design, development, use, and evaluation of advanced educational systems in a wide variety of contexts, as well as the mining of data about student learning generated by such systems. Papers describing empirical studies are particularly encouraged.



Topics of interest to the conference include, but are not limited to:


  • Intelligent tutoring and scaffolding
  • Adaptive support for simulation-based and inquiry learning
  • Intelligent games for learning
  • Adaptive support for collaborative and group learning
  • Advanced technologies for informal learning environments
  • Ubiquitous learning environments and adaptive mobile learning
  • Adaptive support for lifelong and workplace learning
  • Domain-specific learning applications, e.g. language, mathematics, reading, science, medicine, military, and industry
  • Learning with virtual pedagogical agents, virtual learning companions, or learners
  • Communities of practice and social networks
  • Models of learners, facilitators, groups and communities for learning
  • Modeling of motivation, metacognition, and affect aspects of learning
  • Motivational diagnosis and feedback
  • Ontological modeling for educational applications
  • Representing and analyzing discourse during learning
  • Tutorial dialogue systems and adaptive question answering systems
  • Instructional design principles or design patterns for learning environments
  • Empirical studies of learning with advanced learning technologies
  • Multi-agent architectures for learning environments
  • Authoring tools and development methodologies for advanced learning technologies
  • Studies of and reports on authoring efficiency, development practice, and real-world deployment of advanced learning technologies
  • Educational applications of data mining and machine learning
  • Innovative use of artificial intelligence for education
  • Use of semantic web technologies and standards for education
  • Social recommendations for learners
  • Methodologies for acquiring rich data about learners using advanced learning technologies
  • Theories of learning with advanced learning technologies
  • Social-historical-cultural contexts