Posters

Abstract

The current skill shortage coupled with the ambitious acceleration of investments in the Wind Energy sector puts pressure on training and capabilities of the current and upcoming workforce. We present a novel approach to digital learning, applied to the GWO Basic Safety Training. We use a blended approach facilitated by cutting edge adaptive learning technology. The online part of the course uses well proven algorithms and technology to personalize the content delivery in real time in order to keep each learner on the optimal learning path and highlight gaps in knowledge and self-assessment at a granular level, also via advanced learning data analytics. The understanding of the content is strengthened through spaced repetitions and personalized refresher assignments leading not just to mastery but also automaticity with an overall ambition to facilitate further reduction of serious incidents and reduce risk of errors across the energy sector protecting people, assets and the environment. This approach ensures 1) that potential knowledge gaps are identified and immediately rectified before starting work and 2) and that content can be revisited on a regular basis to ensure a higher degree of retention and provide insights into the deterioration of the learning material over time on a personal level.