📚 Topic Summary
In computer science, especially for young learners, understanding the difference between predicted and actual outcomes is crucial. When we write instructions for a computer (even a simple one!), we have an idea of what should happen – that's the predicted outcome. However, due to various factors like errors in code or unexpected inputs, the actual outcome might be different. By comparing what we expect to happen with what really happens, we can learn to debug, refine our code, and understand how computers work.
This comparison helps build critical thinking and problem-solving skills. It introduces the concept that programming isn't just about writing code, but also about understanding and fixing mistakes.
🧠 Part A: Vocabulary
Match the term with its definition:
| Term |
Definition |
| 1. Algorithm |
A. The result that you expect. |
| 2. Code |
B. A set of instructions for a computer. |
| 3. Predicted Outcome |
C. The result that actually happens. |
| 4. Actual Outcome |
D. A step-by-step set of instructions to solve a problem. |
| 5. Bug |
E. An error in the code. |
💻 Part B: Fill in the Blanks
Fill in the blanks using the words: predicted, actual, algorithm, code, bug.
When we write _____, we create an _____. This tells the computer what to do. The outcome we think will happen is the _____ outcome. But sometimes, the _____ outcome is different because there's a _____ in the code.
🤔 Part C: Critical Thinking
Imagine you told a robot to stack three blocks. You predicted it would stack them red, blue, then green. But it stacked them blue, green, then red. What could have caused this difference between the predicted and actual outcome?