The need for sophisticated learning environments as well as novel educational platforms (Interactive White Boards, Tablets, Robots), which will respond to the requirements of a future educational framework and provide capabilities for automatic assessment of learner’s engagement, behavior and progress, has significantly increased the research interest on intelligent adaptation and personalization techniques in game-based learning. Artificial intelligence is fundamental in order to implement gamebased learning environments, which employ online or offline adaptation for optimizing learning. In addition, techniques for real-time signal acquisition, processing and inferring, accompanied by immediate and rapid content generation mechanisms have created new opportunities and perspectives towards this direction. Finally, novel actuators, such as educational robots provide new means enabling new insights in the overall educational process. The aim of this workshop is to bring together researchers and practitioners, from both industry and academia, interested in any aspects of machine learning and artificial intelligence, which can be effectively used to improve game-based learning environments.