In recent years, research efforts on complex systems have contributed to improve our ability in investigating, at different levels of complexity, the emergent behaviour shown by a system in the course of its evolution. The study of emergence, an intrinsic property of a large number of complex systems, can be tackled by making use of Cellular Automata (CA): these enable researchers to identify the emergent dynamics of a complex system, whose behaviour is determined by local rules that define the way in which the elementary parts interact with each other. This work presents the results of an experimentation aimed to investigate the efficacy of a methodology which uses the simulation and CA in the learning of emergence. As results show, 93% of the students that took part in the experimentation are able to recognize characteristics of complex systems.