The Journal of Artificial Intelligence in Education & Learning Innovation (JAIELI) publishes papers concerned with the application of AI to education and learning innovation. It aims to help the development of principles for the design of computer-based learning systems. Its premise is that such principles involve the modeling and representation of relevant aspects of knowledge, before implementation or during execution, and hence require the application of AI techniques and concepts. JAIELI has a very broad notion of the scope of AI and of a computer-based learning system. Coverage extends to agent-based learning environments, architectures for Artificial Intelligence in Education & Learning Innovation, statistical methods, cognitive tools for learning, computer-assisted language learning, distributed learning environments, educational robotics, human factors and interface design, intelligent agents on the internet, natural language interfaces for instructional systems, real-world applications of Artificial Intelligence in Education & Learning Innovation, tools for administration and curriculum integration, and more.