Aims and scope
IJAIED publishes papers concerned with the application of AI to education. It aims to help the development of principles for the design of computer-based learning systems. Its premise is that such principles involve the modelling and representation of relevant aspects of knowledge, before implementation or during execution, and hence require the application of AI techniques and concepts. IJAIED has a very broad notion of the scope of AI and of a ‘computer-based learning system’, as indicated by the following list of topics considered to be within the scope of IJAIED:

adaptive and intelligent multimedia and hypermedia systems
agent-based learning environments
AIED and teacher education
architectures for AIED systems
assessment and testing of learning outcomes
authoring systems and shells for AIED systems
bayesian and statistical methods
case-based systems
cognitive development
cognitive models of problem-solving
cognitive tools for learning
computer-assisted language learning
computer-supported collaborative learning
dialogue (argumentation, explanation, negotiation, etc.)
discovery environments and microworlds
distributed learning environments
educational robotics
embedded training systems
empirical studies to inform the design of learning environments
environments to support the learning of programming
evaluation of AIED systems
formal models of components of AIED systems
help and advice systems
human factors and interface design
instructional design principles
instructional planning
intelligent agents on the internet
intelligent courseware for computer-based training
intelligent tutoring systems
knowledge and skill acquisition
knowledge representation for instruction
modelling metacognitive skills
modelling pedagogical interactions
motivation
natural language interfaces for instructional systems
networked learning and teaching systems
neural models applied to AIED systems
performance support systems
practical, real-world applications of AIED systems
qualitative reasoning in simulations
situated learning and cognitive apprenticeship
social and cultural aspects of learning
student modelling and cognitive diagnosis
support for knowledge building communities
support for networked communication
theories of learning and conceptual change
tools for administration and curriculum integration
tools for the guided exploration of information resources