Relationship between mathematics, algorithmic thinking and computational thinking
DOI:
https://doi.org/10.33010/ie_rie_rediech.v15i0.1929Keywords:
Algorithms, mathematics teaching, thinking styles, specific skills, abstract thinkingAbstract
In a world increasingly influenced by the available computational tools, and the acceleration in their development, it is also necessary to increase epistemological research on the interactions between mathematics and computer science. Therefore, it is considered relevant to study the relationship between the ability to algorithmize, mathematical thinking, algorithmic thinking and computational thinking. However, multiple definitions of computational thinking do not explicitly incorporate algorithmic thinking or emphasize its mathematical dimension. The proposition raised in this scientific essay is that there are very important relationships, sometimes implicit, between the concepts of algorithmization, mathematical thinking, algorithmic thinking and computational thinking. And the aim is to identify the relationship between these concepts, and thereby strengthen the scientific literature that seeks to address them in an integrated manner. It is concluded that algorithmic thinking is a fundamental part of computational thinking, but it is also a type of mathematical thinking; that the ability to algorithmize is basic in mathematics and is fundamental in algorithmic and computational thinking; and that computational thinking provides important aids in exploring and discovering mathematics.
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