EU-Layers - Learning Layers-Scaling up Technologies for Informal Learning in SME Clusters

Project: Research project

Project Details


Learning Layers develops a set of modular and flexible technological layers for supporting workplace practices in
SMEs that unlock peer production and scaffold learning in networks of SMEs, thereby bridging the gap between
scaling and adaptation to personal needs. By building on recent advances in contextualized learning, these
layers provide a meaningful learning context when people interact with people, digital and physical artefacts for
their informal learning, thus making learning faster and more effective. Building on mobile learning research, we
situate learning into physical work places and practices to support situated, faster and more meaningful learning.
Learning Layers provide a shared conceptual foundation independent of the tools people use and the context
they are in. Learning Layers are based on a common light-weight, distributed infrastructure that allows for fast
and flexible deployment in highly distributed and dynamic settings. We apply these technologies in sectors that
have been particularly hesitant to take up learning technologies, i.e. health care and building and construction.
Involving two representative and large-scale regional SME clusters allows us to involve end users in co-design
of the system and later scale up the approach to more than 1,000 learners within 4 years. By inviting a larger
set of stakeholders to adapt and build on our solutions and through research in sustainable business training
models, the project will generate significant impact by boosting the ability of regional innovation systems to adapt
to change and thereby remain competitive, on the individual, organisational and regional level. We demonstrate
the impact in the two chosen sectors, but widen the scope to other sectors and regions towards the end of the
Effective start/end date1/11/1231/10/16


Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.