The National Machine Intelligence Strategy for the United States issued on March 1, 2018 clearly stated that ma-chine intelligence can be integrated into classroom teaching, providing students with a personalized learning experience, and improv-ing teachers’teaching efficiency and students’learning experience. With the advent of educational robots, popularization of maker e-ducation and demand for STEAM education, robot education has gradually entered the public’s vision. The applications of robot edu-cation include educational robot products, robotics teaching materials, robotics competitions and robot teaching activities. Related a-cademic research focuses on three aspects: educational purpose, key technology and teaching method. The teaching practice designed from three dimensions (deep study, research experience and career guidance) shows that robot education can help students learn multidisciplinary knowledge and develop problem-solving skills. In the future, robot education will carry forward the integration of disciplines. The evaluation of robotics education and robotic teacher training will be promoted , and the cooperation of industry, gov-ernment and school will be strengthened.%2018年3月1日发布的《美国机器智能国家战略》中提到,机器智能可以融入课堂教学,为学生提供个性化的学习体验,并提升教师的教学效率与学生的学习体验.随着教育机器人的出现、创客教育的发展和STEAM教育的需求,机器人教育逐渐步入大众的视野.机器人教育的应用包括教育机器人产品、机器人教材、机器人竞赛与机器人教学活动,而相关机器人教育的学术研究主要集中在目的、技术与方法三个层面.实施从深度学习、研究体验、生涯指导三个维度设计的教学实践活动结果表明,机器人教育可以帮助学生学习多学科知识,培养学生的问题解决能力.未来的机器人教育将朝学科融合的方向发展,需将研究重点放在推进机器人教育评价研究与机器人教育师资培养以及加强"产政学"合作上.
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