计算思维
感知
过程(计算)
计算机科学
质量(理念)
认知
管理科学
批判性思维
数学教育
人工智能
认知科学
心理学
认识论
工程类
哲学
神经科学
操作系统
作者
Indrajeet Kumar,Noor Mohd
出处
期刊:Advances in web technologies and engineering book series
日期:2024-01-25
卷期号:: 253-266
被引量:2
标识
DOI:10.4018/979-8-3693-0782-3.ch015
摘要
Computational thinking (CT) is a problem-solving method that depicts on thoughts and procedures from computer science to implements complex problems in an organised and effective manner. It encompasses collapsing down problems into subproblems, convenient components, recognizing patterns and perceptions, and originating algorithms to resolve them. Applying CT to learning can definitely help enhance students' ability to think significantly. The present study highlights the importance of computational thinking and its implication on student's ability to think. The segment of computational thinking is a kind of problem-solving skill that adopts the process of a computer's systematic manner. In response to this, computers are involved with deriving conclusions and solutions that are equipped with decomposing an issue, using analytical information and others. On the same hand, the application of computational thinking is deemed of high quality in inducing higher thinking capacities among students and strengthening their cognitive process which in turn brings forward advancing solutions.
科研通智能强力驱动
Strongly Powered by AbleSci AI