RoadEthos: GameBased Learning to Sensitize Children on Road Safety through Ethical Reasoning Road safety training programs focusing on practical methods have been known to help novice drivers acquire the knowledge and skills required to drive on the road and improve their judgments. However, the attitude required for safe behavior is often overlooked, leading to road mishaps. This led us to study the ethical reasoning that influences peopleu0027s attitude while taking a decision on the road. It is also reported that road safety education should commence as early as the age of 45 and needs to be pursued through primary and secondary school. Hence, we designed and developed a gamebased learning environment, RoadEthos, using three technologies (Scratch, Arduino, 3D printer) to sensitize children towards road safety through ethical reasoning in road scenarios. The design of the game and its scenarios are based on the theoretical underpinnings of empathy and situated learning. This paper reports the results and analysis of a study conducted with 5 students of the age group 1012, where we captured studentsu0027 actions, decisions and their change in ethical reasoning, before and after interacting with this game. The paper concludes with the next steps for the project, in terms of its design and implementation.

Serious 3D Game over a Cluster Computing for Situated Learning of Traffic Signals This research presents a serious 3D game over a computer cluster that allows the learning of traffic signals so that the child is a responsible driver and pedestrian. For this purpose, we have applied an agile methodology to be able to produce a driving and pedestrian simulation system as a serious game, which includes a threelayer hierarchical architecture (orientation layer, management layer, and control layer). This architecture can be used to simulate three environments that are: a) Driverxe2x80x99s environment; b) Pedestrian environment; c) Vehicle traffic observer environment. All these environments are controlled by intelligent agents that allow the user to handle the autonomous longitudinal control, the relative distance, the speed of the cars, the collisions between vehicles, the pedestrian collision, excess of the speed limit, circulation in the opposite direction, and respect of traffic signals. Our solution to traffic problems has been validated by the execution of several tests in public schools, and the results demonstrate that this simulation application encourages learning in road safety education for children between 9 and 12 years old, using a distributed environment with a computational cluster in the cloud.