Poker analyzers will help you improve your game whether you are a professional, a part-time player, or someone who simply wants to get better. These software tools let you instantly identify your strengths and weaknesses, as well as trends in your play. These tools can help you identify and fix the biggest leaks in your play and make the most out of your potential. You can miss out on opportunities if you do not know where to begin or how to effectively use the tool.
This article will address this issue by describing an interactive learning environment that will improve students’ ability to use poker analyzers. The platform, named CORE, aims to provide students with an intuitive way to learn poker, allowing them to focus on the big picture and avoiding being overwhelmed by the many different moving parts of the game.
This article reports on an evaluation that investigated the quality of a robot-supported collaborative learning experience facilitated by NAO, a social robot from the French company Aldebaran. The evaluation included a short scale of learning experience, an open-ended question and eight other items designed to capture participants’ interaction with NAO, the robot facilitator for the planning poker activity.
Overall, the results showed that planning poker was a positive and effective experience for all students. The results indicated that the design could be improved for the interaction with the robotic in terms of stimulating interest and motivation to learn (items 24, 26 and M = 1,87 and 3,63 respectively). These findings indicate the need for more research and development in learning environments that incorporate humanoid robotics as facilitators of collaborative learning activities.