AI in Education (AIEd)


Abstract

Innovation and the effective use of Artificial Intelligence technologies are recognized as important factors for human and business agility. Education area is not an exception. Therefore, it is relevant to clarify the relationship between education and Artificial Intelligence.

The chance of using known Artificial Intelligence technologies, or combined adaptations of them, to aid the ideas production, help produce pedagogical combinations, get unexpected, original, useful and satisfying responses, addressed to a school context, and thus lead to innovation in Education and the way how they are used, is challenging.

However, despite the substantial progress in recent years, the conviction that the exploitation of this field is still in an early stage remains. This workshop invites contributions that seek to advance the development of new AI systems in an educational context, as well as methods and tools for more efficient and automated educational processes.


Goals

The main workshop objective is to provide to the academic and education people, a privileged forum where practitioners, researchers, teachers and university students to discuss key issues related to the Artificial Intelligence Techniques in education area. This area is important for education, and this could be a fast way to create a space for exchanging ideas and experiences that may lead to the development of new AI systems in educational organizations, preparing them for a global market and to a fierce competition. AIEd could be an excellent forum for young researchers who wish to make and see their work criticized in these research areas and in this sense, AIEd perfectly fits in PETRA philosophy. The AIEd Workshop will accept introductory and advanced proposals in AI in Education technologies in these areas (e.g. position paper and full papers).


List of Topics

  • Affective techniques for engagement and motivation
  • Adaptive and intelligent multimedia and hypermedia systems
  • Agent-based learning environments
  • Assessment and testing of learning outcomes
  • Authoring systems and shells for AIED systems
  • Cognitive tools for learning
  • Computer-assisted language learning
  • Computer-supported collaborative learning
  • Culturally aware learning systems
  • Educational robotics
  • Embedded training systems
  • Empirical studies to inform the design of learning environments
  • Environments to support the learning of programming
  • Help and advice systems
  • Intelligent courseware for computer-based training
  • Embedded interface agents
  • Intelligent tutoring systems
  • Knowledge representation for instruction
  • Learning analytics
  • Modelling metacognitive skills/li>
  • Modelling pedagogical interactions
  • Natural language interfaces for instructional systems
  • Networked learning and teaching systems
  • OLMs, Open Learner Models
  • Performance support systems
  • Qualitative reasoning in simulations
  • Situated learning and cognitive apprenticeship
  • Student modelling and cognitive diagnosis
  • Support for knowledge building communities
  • Tools for administration and curriculum integration
  • Tools for the guided exploration of information resources
  • Visual, graphical and other innovative interfaces

Workshop Organizers

Vitor Santos
Nova Information Management School, Universidade Nova de Lisboa, Campus de Campolide, 1070-312 Lisboa - Portugal
vsantos@novaims.unl.pt

Henrique S. Mamede
INESC TEC, Universidade Aberta, R. da Escola Politécnica no 147 1269-001 Lisbon, Portugal
hsmamede@gmail.com