ITS 2016 – Adaptive Learning in Real World Contexts

The Intelligent Tutoring Systems (ITS) 2016 conference is the 13th in an ongoing series of top-flight international conferences on the use of advanced computer technologies and interdisciplinary research for enabling, supporting and enhancing human learning. The conference will take place from 7 to 10 of June 2016 in Zagreb, Croatia.

 

Theme of the Conference

The theme of the conference is “Adaptive Learning in real world contexts“. It wishes to stress the need for devising learning systems that can adapt adequately to users, furnishing them the knowledge they are seeking in real world contexts, i.e. systems that are effectively usable in everyday learning situations such as courses in schools or training programs in companies, but also in informal situations such as Web or App provided help in using new technologies. The above theme encourages conference participants to think about this educational need in our increasingly complex everyday world.

 

Topics of Interest

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

  • 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 and serious games
  • Dialogue and discourse during learning interactions
  • Co-adaptation between technologies and human learning
  • 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 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

For more information visit the ITS 2016 website.