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Impact of learning experiences using LEGO Mindstorms® in engineering courses

机译:乐高Mindstorms®在工程课程中学习经验的影响

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It is well known by the educational community that active learning has a greater impact on the effectiveness of the learning process than other methods. It has long been recognized that the most effective learning techniques involve direct, purposeful learning experiences, such as hands-on or field experiences. In particular, computer-controlled models have been a useful aid in teaching programming, Artificial Intelligence and Robotics concepts. This paper describes our experience using LEGO Mindstorms® in three different scenarios: an elementary course on Programming, an advanced-level course on Artificial Intelligence and a third first-level course on Robotics. Our focus in those experiments is not on whether using LEGO kits is better than other methods to learn a programming language, AI algorithms or Robotics, but rather on introducing how this mixture of collaboration, competition and peer learning in a laboratory environment helps the students to increase their motivation and improve their professional skills such as problem solving, team work and leadership.
机译:教育界众所周知,主动学习比其他方法对学习过程的有效性影响更大。长期以来,人们已经认识到,最有效的学习技术涉及直接的,有目的的学习经验,例如动手实践或现场经验。特别是,计算机控制的模型在教授编程,人工智能和机器人技术方面一直是有用的帮助。本文介绍了我们在三种不同情况下使用LEGOMindstorms®的经验:编程基础课程,人工智能高级课程和机器人技术第三级课程。我们在这些实验中的重点不是使用LEGO套件是否比其他方法学习编程语言,AI算法或机器人技术更好,而是在介绍实验室环境中的协作,竞争和对等学习的混合如何帮助学生提高他们的动力并提高他们的专业技能,例如解决问题,团队合作和领导能力。

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