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A Game-Based Competition as Instrument for Teaching Artificial Intelligence

机译:基于游戏的竞赛作为人工智能教学的工具

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This paper reports about teaching Artificial Intelligence (AI) by applying the experiential approach called "learning by doing", where traditional, formal teaching is integrated with a practical activity (a game competition, in our case), that is relevant for AI discipline and allows for an active and playful participation of students. Students of the course of Fundamentals of AI at the University of Bologna have been challenged (on a voluntary base) to develop an AI software able to play the game of Nine Men's Morris: at the end of the course, the software players have been compared within a tournament, so as to establish the competition winner. The game has been chosen to let the students deepen the knowledge about AI techniques in solving games, and to apply it in a real, not trivial setting. The significance and the impact of this approach, from the educational point of view, have been assessed through two questionnaires, a first one focused on the technical aspects, and a second one on the students' opinions about the initiative. The results are encouraging: students declare they felt highly motivated in studying AI algorithms and techniques, and they have been stimulated in autonomously search for extensions and new solutions not deeply investigated during traditional lessons.
机译:本文报道了通过采用称为“边做边学”的体验方法来进行人工智能(AI)教学的方法,该方法将传统的正式教学与实践活动(在我们的情况下为游戏竞赛)结合在一起,这与AI学科和允许学生积极而有趣的参与。博洛尼亚大学的AI基础知识课程的学生被要求(在自愿基础上)开发一款能够玩九人莫里斯游戏的AI软件:在课程结束时,已对这些软件播放器进行了比较在比赛中进行比赛,从而确定比赛的获胜者。选择该游戏的目的是让学生加深有​​关解决游戏的AI技术的知识,并将其应用到真实而非琐碎的环境中。从教育的角度来看,这种方法的重要性和影响已通过两份调查表进行了评估,第一份调查表侧重于技术方面,第二份调查表针对学生对该计划的看法。结果令人鼓舞:学生们宣称他们在学习AI算法和技术上有很高的动力,并且他们在自主寻找扩展和新的解决方案(在传统课程中未深入研究)的过程中受到了刺激。

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