Robots in an Introductory Survey Course in Computer Science

计算机科学入门调查课程中的机器人

• 批准号: 0087963
• 负责人: Lonnie Fairchild
• 金额: $ 0.64万
• 依托单位: SUNY College at Plattsburgh
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-01-15 至 2003-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0087963&HistoricalAwards=false
• 关键词: Robots; Introductory; Survey; Course; Computer

Computer Science (31) We are using mobile robots as a unifying theme in an introductory survey course in computer science, for students of all majors. Our breadth-first survey course covers topics in logic circuits, machine organization and assembly-level programming, programming in a higher-level language, computability, artificial intelligence, and social concerns. Breadth-first courses are useful for non-majors as well as computer science majors, but face the problem of providing enough depth and suitable projects to develop real understanding of the material. Our projects involving the design and construction of simple robots provide a means for connecting the different topics of a survey course and enable a pedagogical approach in which students learn by doing (rather than by being told). Interesting problems with multiple kinds of solutions are being used to challenge a broad range of students and encourage participation by those who have been hesitant about their abilities in technology, science, or mathematics. We are building upon work performed at MIT, Swarthmore, Wellesley and Colby where robots have been used to generate interest and make the course material more accessible to students. Our adaption is to take the work from these highly selective institutions and bring it to our students while simultaneously enhancing the content to include machine organization.

计算机科学（31）我们正在使用移动的机器人作为一个统一的主题，在计算机科学的介绍性调查课程，为所有专业的学生。我们的广度优先调查课程涵盖逻辑电路，机器组织和汇编级编程，高级语言编程，可计算性，人工智能和社会问题等主题。广度优先课程对非专业和计算机科学专业都很有用，但面临的问题是提供足够的深度和合适的项目来发展对材料的真实的理解。我们的项目涉及简单机器人的设计和建造，为连接调查课程的不同主题提供了一种手段，并使学生通过实践（而不是通过被告知）来学习的教学方法成为可能。具有多种解决方案的有趣问题正在被用来挑战广泛的学生，并鼓励那些对自己在技术，科学或数学方面的能力犹豫不决的人参与。我们正在建立在麻省理工学院，斯沃斯莫尔，韦尔斯利和科尔比的机器人已被用来产生兴趣，使课程材料更容易为学生所用的工作。我们的调整是从这些高度选择性的机构的工作，并把它带给我们的学生，同时加强内容，包括机器组织。