Algorithmic thinking refers to the process of developing clear, logical, and sequential steps to solve a problem. This way of thinking is a problem- solving approach that is not limited to computer programming but can be applied to a wide variety of disciplines. It is based on analyzing a problem, breaking it down into subproblems, creating clearly defined solution steps for each subproblem, and applying these steps in a specific order . This process both develops the individual's mental organization skills and increases the functionality of systematic decision-making mechanisms.
Algorithmic thinking is especially important in STEM (science, technology , engineering and mathematics ) education . It not only provides students with structured thinking habits, but also contributes to the development of higher-level cognitive skills such as critical thinking, abstraction, pattern recognition and generalization. In addition, this approach supports the individual's ability to think flexibly, as it offers the opportunity to develop and compare different solutions.
This way of thinking forms the basis of algorithm design in programming education ; it can also be used effectively in functions such as process analysis, planning, debugging, and productivity management in areas other than computers . For example, in solving daily life problems , the individual unconsciously engages algorithmic thinking and tries to solve the problems he encounters in a certain order .
The development of algorithmic thinking, when acquired at an early age, can increase an individual’s academic success, as well as positively affect their ability to manage and model complex systems in business life. From an educational policy perspective, integrating this skill into curricula plays a strategic role in increasing digital literacy and providing 21st century skills .
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