Micro:bit Data Detective Challenge 🕵️‍♀️🕵️‍♂️

1️⃣ Engage: What is Data?

1. Think: What is data? Where do you see it in your life?

   • Examples: weather reports, sports scores, steps on a watch, survey results.

2. Write down 3 examples of data from your own life.

3. Look at the example cards/images provided. Match each to:

   • How is this data useful?

   • What could it tell us?

4. Quick reflection: Can you think of one pattern you’ve noticed in your own data?

2️⃣ The Micro:bit Sensors

1. Think: What can a micro:bit sense? Write your ideas.

2. Learn: A sensor watches or measures something.

   • Temperature sensor → measures temperature

   • Motion sensor → detects movement

   • Rain sensor → detects rain

3. When a sensor notices a change, it can make something happen.

   • Example: Temperature changes → micro:bit shows a number

   • Motion detected → LED lights up

4. Challenge: Look at your micro:bit. Can you spot which sensors it has? Write down what each might measure.

3️⃣ Collecting Data with Your Micro:bit

1. Create your Program

   • Open your micro:bit directions for a Thermometer.

   • Change it so it records the temperature.

2. Transfer the Program

   • Download your program.

   • Transfer it to your micro:bit.

3. Power Up

   • Connect the battery pack.

   • Make sure the micro:bit is working before moving.

4. Go Explore!

   • Visit the assigned areas of the school. Tech Lab, STEM Lab, Your Classroom, and the entry to the School.

   • Record the temperature at each location.

   • Write your results down or let the micro:bit save them.

5. Think Like a Scientist

   • Notice differences in temperature between locations.

   • Be ready to look for patterns in your results.

🔄 Quick Rule to Remember Micro:Bit uses °C and we use 70°F

• You will se a conversion chart at the bottom of the directions. 

• Multiply by 2, then add 30 (close estimate)

  • Example: 20°C → (20 × 2) + 30 ≈ 70°F       or 

• Exact Formula:
  °F = (°C × 9/5) + 32

4️⃣ Using Our Data

1. Check Your Numbers

   • Look at your recorded temperatures and write them clearly.

2. Think About What They Mean

   • What do your results tell you about different areas of the school?

3. Look for Patterns

   • Are some places warmer or cooler than others?

   • Can you see any patterns in your data?

4. Check for Mistakes

   • Do any results look unusual or wrong?

   • Why might a reading be incorrect?

     • Example: Micro:bit in sunlight

     • Example: Touching it while measuring

5. Be a Data Detective 🕵️‍♂️

   • Compare your data with classmates’.

   • What patterns do you notice together?

5️⃣ 📈 Explain – Organizing Data

1. Organize your data into a table or graph.

2. Discuss:

   • What patterns do you notice?

   • Example: “The temperature goes up in the afternoon and down at the end of the day.”

6️⃣ 🔍 Elaborate  – Using Data to Predict

1. Make a statement about your data.

   • Example: “When the sun is out, the temperature rises.”

2. Predict: What do you think the temperature will be at the same time tomorrow?

3. Explain: Why do you think your prediction will happen? Use your data to support your answer.