Traditionally, problem-based learning activities are based on scenarios that are defined by the instructor, with all groups of students working with the same scenario and datasets. Although PBL has clearly been very successful, it is suggested that these sorts of ‘rigid’ scenarios are somewhat artificial and not therefore reflective of real-world problem-solving, where the context and scope of a problem may vary over time. In dPBL, groups of students receive different datasets or are provided with different routes through the problem, meaning that each group tackles an individualised problem.