📚 Topic Summary
Unplugged activities are a fantastic way to learn about complex computer science concepts without needing a computer. This activity focuses on understanding data bias, which occurs when data used for analysis doesn't accurately represent the real world. This can lead to unfair or incorrect conclusions. By participating in this activity, you’ll learn how bias can creep into data collection and analysis processes, and how to identify and mitigate it.
This hands-on approach will help you see how seemingly neutral data can reflect existing societal biases or be skewed by the way it's collected. No computers needed—just your brain and a willingness to explore!
🧠 Part A: Vocabulary
Match the term with its definition:
| Term |
Definition |
| 1. Data Bias |
A. A subset of a population used to represent the whole. |
| 2. Sample |
B. The process of gathering information. |
| 3. Data Collection |
C. When data inaccurately reflects the reality it’s supposed to represent, leading to skewed results. |
| 4. Algorithm |
D. Data that is intentionally or unintentionally altered. |
| 5. Skewed Data |
E. A set of instructions for solving a problem. |
📝 Part B: Fill in the Blanks
Fill in the missing words in the paragraph below:
________ bias occurs when the ________ used to train a model does not accurately represent the real-world ________. This can lead to ________ predictions or decisions. Identifying and mitigating data bias is crucial for ensuring ________ and fair outcomes.
🤔 Part C: Critical Thinking
Provide a short answer to the following question:
Think of a real-world example where data bias could lead to unfair outcomes. How could you improve the data collection process to reduce bias in this situation?