Advanced adaptive learning Personalisation of workforce training can be accomplished by leveraging the capabilities of advanced adaptive learning, which blends the latest in software algorithms with cognitive research. Using a problem-based approach, an advanced adaptive learning platform will uncover what each individual has already mastered and reveal the gaps. This approach replicates the classic tutor-andstudent instruction shown to be highly effective in the research of Benjamin Bloom. One-to-one personal tutoring is not a scalable or cost-effective solution but computer-based adaptive learning is scalable and can be deployed effectively across a population of learners of any size. The personalisation advantage Personalisation of learning to build worker competence makes obvious sense. Why should workers spend time revisiting what they have already mastered, instead of focusing on the areas that really need it? With personalisation, learning is far more engaging, allowing people to receive additional support in specific areas in which they struggle.