Impact of learning experiences using LEGO Mindstorms® in engineering courses

Carmen Fernández Panadero, J. V. Román, C. D. Kloos
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引用次数: 43

Abstract

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.
在工程课程中使用LEGO Mindstorms®学习经验的影响
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有更大的影响。人们早就认识到,最有效的学习技巧包括直接的、有目的的学习经验,比如动手或实地经验。特别是,计算机控制的模型在编程、人工智能和机器人概念的教学中一直是一个有用的辅助工具。本文描述了我们在三种不同场景下使用LEGO Mindstorms®的经验:编程初级课程,人工智能高级课程和机器人技术一级课程。我们在这些实验中的重点不是使用乐高套件是否比其他方法更好地学习编程语言、人工智能算法或机器人,而是在实验室环境中介绍这种合作、竞争和同伴学习的混合如何帮助学生增加他们的动力,提高他们的专业技能,如解决问题、团队合作和领导能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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