To achieve its objectives, the project will employ and enhance adaptivity methods and techniques from a number of related fields, and couple them with novel approaches to maintaining and utilising awareness of peers and activities. The most important innovations include:

• Concrete representations of multi-user tasks and processes in the domain of education suitable for automatic processing.
• Concrete representations of selected group-oriented didactic approaches, and their use to guide adaptive system behaviour.
• Modelling of group-learning activities and knowledge, instead of only individual learners.
• Modelling of group contexts, focusing on aspects and levels of group awareness.
• Synchronous and asynchronous awareness facilities that enable users to keep track of individual and collective activities, as well as discover peers with similar interests.
• Intelligent coordination of learners involved in multi-participant, process-based learning activities through active hints and support for forming groups and establishing internal communication.
• Novel applications of established techniques, like adaptive- and social- recommendation, for improving the level of guidance and support provided to learners in identifying relevant learning material and assessing its quality.
• Utilisation of new advances in adaptive theory and technologies (specifically, self-regulation) to derive validated, group-oriented adaptation knowledge (metadata on individuals and groups) through system evolution driven by self-evaluation against specified goals.
• Automation of generating, maintaining, annotating, and sharing personal learning histories.