Computational Thinking and Metacognition

被引:0
|
作者
Aman Yadav
Ceren Ocak
Amber Oliver
机构
[1] Michigan State University,
[2] Robin Hood Learning + Technology Fund,undefined
来源
TechTrends | 2022年 / 66卷
关键词
Computational thinking; Metacognition; Metacognitive strategies; K-12; Problem-solving;
D O I
暂无
中图分类号
学科分类号
摘要
Since Wing Communications of the ACM, 49, 33–35, (2006) popularized computational thinking (CT) as a skill for every student, it has gained significant traction as an approach to bring computer science tools and practices into K-12 classrooms. At the same time, teachers often see the relevance of CT as a tool to introduce problem solving and thinking strategies in the classroom. Despite the increasing use of CT in K-12, questions remain about its role in supporting teaching and learning of disciplinary ideas. While CT can be used to bring computer science to all students, we believe that it can serve a bigger purpose to explicitly teach metacognitive strategies, which play a significant role in academic outcomes. In the paper, we discuss the connections between CT and metacognition and how CT could support the development of metacognition in K-12 classrooms.
引用
收藏
页码:405 / 411
页数:6
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