Open AccessThe Importance of Computational Thinking to Train Structured Thinking in Problem Solving
Author(s) -
Rian Andrian,
Rizki Hikmawan
Publication year - 2021
Publication title -
join (jurnal online informatika)
Language(s) - English
Resource type - Journals
eISSN - 2528-1682
pISSN - 2527-9165
DOI - 10.15575/join.v6i1.677
Subject(s) - computational thinking , abstraction , computer science , key (lock) , computational problem , simple (philosophy) , critical systems thinking , root (linguistics) , adaptive reasoning , computational complexity theory , decomposition , artificial intelligence , management science , critical thinking , mathematics education , mathematics , algorithm , engineering , epistemology , model based reasoning , knowledge representation and reasoning , ecology , philosophy , linguistics , computer security , biology
Ability to do problem solving will be greatly influenced by how the flow of thinking in decomposing a problem until it finds the root of the problem so that it can determine the best solution. There is currently a growing recognition around the world that all fields require a prerequisite ability, namely to think logically, in a structured manner, and use computational tools to rapidly model and visualize data. This ability is known as Computational Thinking (CT). In this study, the author applied the computational thinking key concept in a case study to train structured thinking in problem solving. Computational thinking key concept includes Decomposition, Pattern recognition, Abstraction, and lastly use algorithms when they design simple steps to solve problems. Based on our case study that has been model, the result shows us that Computational Thinking can be used to train structured thinking in problem solving in everyday life