Towards data exchange formats for learning experiences in manufacturing workplaces

Manufacturing industries are currently transforming, most notably through the introduction of advanced machinery and increasing degrees of au- tomation. 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 contri- bution, 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 in- volved things, persons, places, devices, apps, and their set-up

An augmented reality job performance aid for kinaesthetic learning in manufacturing work places

Manufacturing – as the name already suggests – is an area where novel ‘learning by doing’ approaches can help tackle the skills gap this industry is currently facing at large. Within this contribution, we apply human-centred design methodology to help overcome two significant ‘teething problems’ for augmented reality. We propose five use cases for the application of learning technology on- and off-the-job and we show how these use cases can be implemented in an augmented reality based job performance aid, which we subsequently test on a real life story board in the furniture industry