Lenses:
- Statistician - What data did your group use to drive your thinking? Why this data?
- Analyst- Calculates the mean , median and mode to compare the weeks/ samples. Use the data to draw conclusions and make connections.
- Sociologist - What does the data say about your school/ classmates/ learning environments? This includes Visual representation/ model. Explain correlation vs. causation.
- Engineer - How did the data lead you to your solution? Why is your solution the best solution based on your data and models?
- Statistician - What data did your group use to drive your thinking? Why this data?
- Analyst- Calculates the mean , median and mode to compare the weeks/ samples. Use the data to draw conclusions and make connections.
- Sociologist - What does the data say about your school/ classmates/ learning environments? This includes Visual representation/ model. Explain correlation vs. causation.
- Engineer - How did the data lead you to your solution? Why is your solution the best solution based on your data and models?
PBL Guiding Questions:
1. What is your solution?
2. Why does your solution solve the problem?
3. What data you you have to support the problem?
4. How does your solution solve the problem? (using data)
5. Why do you have the best solution for the problem? Why is it worth investing in?
1. What is your solution?
2. Why does your solution solve the problem?
3. What data you you have to support the problem?
4. How does your solution solve the problem? (using data)
5. Why do you have the best solution for the problem? Why is it worth investing in?
Health Effects of Artificial Light | |
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Classroom lighting can Aid Achievement | |
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Elementary Light Polution | |
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Light Pollution is Bad for your Health | |
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