Computational Thinking

被引:0
|
作者
Henderson, Peter B. [1 ]
Cortina, Thomas J. [1 ]
Hazzan, Orit [1 ]
Wing, Jeannette M. [1 ]
机构
[1] Butler Univ, Dept Comp Sci & Software Engn, Indianapolis, IN 46208 USA
来源
SIGCSE 2007: PROCEEDINGS OF THE THIRTY-EIGHTH SIGCSE TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION | 2007年
关键词
Computational Thinking;
D O I
暂无
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
Computational Thinking [1] is a universal metaphor of reasoning used by both mankind and machines. From this perspective it has the potential to be a comprehensive umbrella for capturing the intrinsic nature of computing and conveying this in an understandable way to students and the general public. It represents a broad spectrum of reasoning across time and disciplines. Learning to count is a beginning of human computational thinking, followed naturally by arithmetic computation and abstract levels of symbol based thinking, often starting with algebra. Counting, arithmetic, symbols and abstract thinking are fundamental to the study of computing. Computational reasoning is the core of all modern Science, Technology, Engineering and Mathematics (STEM) disciplines and is intrinsic to all other disciplines from A to Z. It is used in our everyday lives from baking a cake, changing a tire or brushing our teeth. The human brain is wired to think computationally, as are modem computing devices. As educators, a Computational Thinking perspective can help us to convey fundamental computing ideas to all students. This special session will outline the principles of Computational Thinking, offer suggestions on ways to promote Computational Thinking at all educational levels, and provide ample time for audience participation and discussion.
引用
收藏
页码:195 / 196
页数:2
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