1) What is the key purpose of computational thinking? a) To solve problems intuitively b) To simplify complex problems into manageable parts c) To create emotional solutions to problems d) To avoid using logical methods 2) Which of the following is an example of decomposition? a) Identifying trends in data b) Creating a step-by-step algorithm c) Breaking a large task into smaller tasks d) Removing unnecessary details 3) What is a potential drawback of using computational thinking? a) It encourages logical problem-solving b) It reduces ambiguity in solutions c) It may be time-consuming for simple tasks d) It promotes reusable solutions 4) When is computational thinking most useful? a) For solving routine tasks b) When automating a task or process c) For problems requiring emotional intuition d) For problems without any logical structure 5) Which of the following best describes a drawback of decomposition? a) It makes problems more complex b) It promotes ambiguity in problem-solving c) It ensures all details are retained d) It may lead to gaps or overlap in solutions

Computational Thinking Recap

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