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Adaptivity and guidance

Focus of this research is on empowering learners through proactive coaching and technologies that support the personalisation and adaptivity of learning systems, such as user modelling tools, feedback services, social tagging, tools to help track and store semantic relationships among conceptual models, or language technologies.

Projects

AtGENTIVE - Attentive Agents for Collaborative Learners

AtGentive investigated the use of artificial agents for the management of attention as a key factor of learning performance. Based on a conceptual model for collaborative learning contexts rooted on cognitive science, the project team has designed embedded characters able to profile the learners' state of attention and to provide them with proactive coaching.

Fact sheet - Project website

GRAPPLE - Generic Responsive Adaptive Personalized Learning Environment

This project aims at delivering a technology-enhanced learning environment for life-long learning, able to automatically adapt to personal preferences, prior knowledge, skills and competences, learning goals and the personal or social context in which the learning takes place.

Fact sheet - Project website

iCLASS - Intelligent Distributed Cognitive-based Open Learning Systems for Schools

iClass has combined research in the fields pedagogy, 'Self Regulated Personalised learning', cognitive science and computer science to support empowerment of learners and teachers in the K12 sector. The educational vision driving the project has been personalisation through empowerment. Outcome of the work is a suite of pedagogically coherent tools and a set of pedagogical methodologies, validated through ongoing analysis of state of the art research and of end-user feedback.

Fact sheet - Project web site - ICT Results feature

LTfLL - Language Technologies for Lifelong Learning

This project will provide (semi-)automatic services for feedback that require no or very limited tutor-based support and are able to analyse interactions between students and textual output. A knowledge sharing infrastructure (combining domain ontologies and social tagging) will allow for comparing and exchanging of individual knowledge, leading to new common knowledge. The project will make extensive use of language technologies to situate the learners in their domain.

Fact sheet - Project website

ROLE – Responsive Open Learning Environments

ROLE addresses theoretical models and associated technologies that allow learners to tailor learning environments according to their needs. The results of this research will contribute to improving adaptive and responsive learning environments for the individual learner in different contexts.

Fact sheet - Project website