Computational thinking and abstraction

9.Which of the following is NOT an example of computational thinking?

10.Computational thinking can be applied to subjects outside of STEM, such as social sciences and language arts.

11.Which of the following best describes the relationship between abstraction and decomposition?

12.Which of the following are examples of computational thinking in everyday tasks? (select all that apply)

13.Computational thinking is a recent concept that originated in the 2000s.

14.Which of the following is the best description of abstraction in computational thinking?

15.Which of the following are examples of abstraction in everyday life? (select all that apply)

16.Match each computational thinking characteristic with its description.

17.A student is designing a computer game. They decide to represent the player's position on a map using only x and y coordinates, ignoring the player's height. This is an example of:

18.Computational thinking can only be applied to computer science problems.

19.Which of the following are examples of applying computational thinking in everyday tasks? (select all that apply)

20.A student is creating a simulation of a ball bouncing in a rectangular room. They decide to model the ball as a point with only x and y coordinates, ignoring its size, rotation, and colour. Which computational thinking characteristic are they applying?

21.A weather app shows a simplified map with only temperature readings and cloud icons, omitting roads and buildings. What is the main purpose of this abstraction?

22.Which of the following are examples of abstraction being used to model a real-world system? (select all that apply)

23.In a computer model of a shopping queue, representing each customer as just a 'service time' value is an example of abstraction.

24.Match each scenario to the computational thinking characteristic it best illustrates.

25.A student is using the 'three As' iterative process to solve a problem. Put the stages in the correct order.

26.Which of the following is the best abstraction of the traffic light for the model?

27.In this model, ignoring the number of pedestrians is an example of abstraction.

28.A student is creating a simulation of a bouncing ball. They represent the ball as a point with x and y coordinates and ignore its size and colour. This is an example of which computational thinking characteristic?

29.A weather app shows a simplified map with only temperature and cloud icons, omitting roads and buildings. What is the main purpose of this abstraction?

30.Which of the following are examples of abstraction in modelling real-world systems? (select all that apply)

31.In a computer simulation of a bouncing ball, a student represents the ball as a point with only x and y coordinates, ignoring its size, colour, and rotation. What is the main purpose of this abstraction?

32.Which of the following are examples of abstraction when modelling a real-world system? (select all that apply)

33.In a computational model of a farm, representing each animal by only its weight and age is an example of abstraction.

34.Put the stages of the 'three As' iterative process in the correct order.

35.Which of the following is the best example of abstraction in a computational model of a weather forecast?

36.Who first used the term 'computational thinking'?

37.Which of the following best describes the 'three As' iterative process in computational thinking?

38.Which of the following are characteristics that define computational thinking? (select all that apply)

39.The term 'computational thinking' was first used by Seymour Papert in 1980.

40.Match each stage of the 'three As' iterative process with its description.

41.Fill in the blanks to complete the definition of computational thinking.

42.What is the term for breaking a complex problem down into smaller, more manageable parts?

43.In what year did Jeannette Wing publish her influential essay on computational thinking?

44.Complete the sentence.

45.In which year was the term computational thinking first used by Seymour Papert?

46.What is the term for the process of identifying similarities or patterns in data?

47.Complete the definition: Computational thinking involves formulating problems so their solutions can be represented as computational steps and ___.

48.In what year was the term 'computational thinking' first used by Seymour Papert?

49.In a computational model of a farm, each animal is represented by a unique ID number (starting at 1). If there are 120 sheep and 45 cows, and the model uses abstraction to ignore all other details, how many unique IDs are needed in total?

50.Complete the sentence about abstraction.

51.What is the term for the process of hiding unnecessary details to focus on the important aspects of a problem?

52.Complete the definition.

53.Explain how abstraction is used in computational thinking to model a real-world problem.

54.Explain how abstraction is used to model a real-world problem, using a specific example from the source material (e.g., maps, game worlds, or simulations).

55.Explain how abstraction is used in computational thinking to model a real-world problem, using a specific example from the source material (e.g., maps, game worlds, or simulations).

56.A student is creating a computational model of a garden. They represent each plant as a circle with a position and a growth rate. They ignore the colour of the flowers. Explain why ignoring the colour is an example of abstraction, and why it is appropriate in this model.

57.A student is designing a computer game. They decide to represent the player's position on a map using only x and y coordinates, ignoring the player's height and the colour of the terrain. Explain why this is an example of abstraction, and why it is appropriate for a 2D game.

58.In what year did Jeannette Wing publish her influential essay on computational thinking?

59.In which year was the term computational thinking first used by Seymour Papert?

60.In what year was the term 'computational thinking' first used by Seymour Papert?

61.In a computational model of a farm, each animal is represented by a unique ID number (starting at 1). If there are 120 sheep and 45 cows, and the model uses abstraction to ignore all other details, how many unique IDs are needed in total?