The aim of this initiative is to take next steps in technology enhanced learning and open up new avenues for collaborative learning and working by exploring how context-aware technologies for mobile use can enhance efficient collaboration. The Coll@ware initiative will involve scenario work for designing theories, technologies and practical models for knowledge workers in higher education and professional organizations.
The Coll@ware initiative will implement and deploy mobile and ambient learning technologies that will be responsive to people and context, support locating expertise and bridge the gap between formal training and informal on-the-job learning, thus exploring new ways to support collaborative knowledge building.
Research Unit for Educational Technology, University of Oulu, Finland.
Research Centre Learning in Interaction, University of Utrecht, Netherlands.
Learning Sciences Research Institute, LRSI. University of Nottingham, Great Britain.
This project is funded by the Kaleidoscope Network of Excellence.
The main working method in Coll@ware initiative will be scenario work for designing theories, technologies and practical models for knowledge workers in higher education and professional organizations across a number of European countries. This will be done through collaboration between learning and technology researchers, educational and technological developers, as well as, end-users in the different fields. In other words, varied expertise and knowledge intensive organisations� key personnel engagement to the design and development work is regarded as essential. The technological development will build on emerging technologies, such as Web 2.0, semantic web, context-aware technologies and ubiquitous technologies. Together, these awareness and contextual technologies offer the opportunities of Web 2.0 social software to knowledge workers. They adapt Web 2.0 social affordance technologies (such as social navigation software, folksonomies, etc.), context-aware technologies (e.g., historical agents, GPS, RDF), and pedagogical tools and techniques (e.g., adaptive advice systems, dynamic selection, and multimedia learning content).
An application has been submitted to the last call of the FP7 that took place last April.
