课题基金 / 基金详情

Robot Hoedown & Rodeo at SIGCSE 2011

Robot Hoedown & Rodeo at SIGCSE 2011
机器人霍敦
批准号:
1123550
负责人:
Jennifer Kay
金额:
$0.63万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-02-01 至 2011-07-31

项目摘要

项目成果

Jennifer Kay的其他基金

相关文献

中文摘要
翻译
SIGCSE机器人Hoedown和牛仔竞技表演为计算机科学教师、教师和研究生提供了对教育中使用的各种机器人平台进行编程的机会。虽然有相当一部分计算机科学教育工作者使用过机器人,但大多数计算机科学教育工作者从未有机会尝试使用机器人。消费电子和机器人技术的进步创造了几个平台,这些平台足够负担得起,可以转向“个人机器人”模式,每个学生在课堂上都有自己的机器人。最近有证据表明,使用个人机器人的课程的学生表现出更大的动力来完成课程中的作业,并且这些课程具有更好的保留率。 本次研讨会主要关注这些相对较新且更实惠的平台。这个机器人研讨会是SIGCSE 2011的一部分,SIGCSE 2011是计算机协会的旗舰会议。的计算机科学教育特别兴趣小组,每年吸引大约1200名与会者。该研讨会为从未对机器人进行过编程的与会者提供了这样做的机会,并为那些已经对机器人进行过编程的人提供了使用替代平台的机会。 编程机器人舞蹈动作和机器人特定编程挑战的创造性成果在整个会议期间公开展示。
英文摘要
The SIGCSE Robot Hoedown and Rodeo provides computer science faculty, teachers, and graduate students the opportunity to program a variety of robot platforms used in education. Though a significant minority of computer science educators has used robots, most computer science educators have never had the opportunity to experiment with one.Advances in consumer electronics and robotics have created several platforms which are sufficiently affordable to move to the "personal robot" model in which each student has his or her own robot for the duration of a class. There is recent evidence that students in courses with personal robots show greater motivation to complete assignments in the course and that these courses have better retention rates. This workshop primarily focuses on these relatively newer and more affordable platforms. This robotics workshop is part of SIGCSE 2011, the flagship conference for the Association for Computing Machinery?s Special Interest Group on Computer Science Education which attracts roughly 1200 attendees each year. The workshop provides conference attendees who have never programmed a robot before the opportunity to do so and offers those who already have programmed a robot the chance to work with alternative platforms. The creative results of programmed robotic dance movements and robot-specific programming challenges are publicly demonstrated throughout the conference.
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会议论文
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