Automated Planning for Personalised Course Composition

Authoring tools for building intelligent educational systems must provide support to ensure flexibility, adaptability of content to the user profile, reusability and sharing of learning objects. These facilities are essential to develop automated decision processes for providing course compositions tailored to the specific characteristics of each individual learner. We present a LOM-compliant learning approach that uses an automated planning process to create personalised learning courses while giving special attention to the development of reusable learning objects.