Towards data exchange formats for learning experiences in manufacturing workplaces

Abstract

Manufacturing industries are currently transforming, most notably through the introduction of advanced machinery and increasing degrees of automation. This has caused a shift in skills required, calling for a skills gap to be filled. Learning technology needs to embrace this change and with this contribution, we propose a process model for learning by experience to understand and explain learning under these changed conditions. To put this process into practice, we propose two interchange formats for capturing, sharing, and re-enacting pervasive learning activities and for describing workplaces with involved things, persons, places, devices, apps, and their set-up