1. Interpreting Data

2. Asking questions (for science) and defining problems (for engineering) Developing and using models Planning and carrying out investigations Analyzing and interpreting data Using mathematics and computational thinking Constructing explanations (for science) and designing solutions (for engineering) Engaging in argument from evidence Obtaining, evaluating, and communicating information

3. Activity: Nonsense Data What is it like for learners to work with information that is new and overwhelming?

4. As you work… Please note what skills you are using in order to answer the questions. What did you pay attention to? How did you arrive at your answers? What could you answer? What could you NOT answer? Handout A then Handout B

5. Activity Debrief Were you able to answer the questions for part A? What about part B? Were they difficult or easy? Where did you find the information you needed? What skills did you use? How did you report this information? What skills or information would you need to understand any unanswered questions?

6. Data Visualizations – Every visualization serves two functions: Transmit information accurately Allow people to use it as a tool for making meaning and personal sense of the information – Visualizations without the correct or enough context are meaningless. – People can make sense of content IF they can make sense of the images.

7. Data interpretation – Experts vs. Novices Experts and novices use tools (e.g., thinking, communicating, graphing, software) differently. Experts learn to use tools by practicing a lot. Novices need explicit directions to use visualizations like experts. If you understand how it was created, you better able to interpret it.

8. Eyes move to access information… LEGENDS  need to point out on the right Because people look for given information (what they know) on the left and for new information (what they need to interpret) on the right.

9. What about data from CONVERGE? IMPORTANT - Data are the same in these figures. The amount of data and the way they are visualized are different.

10. HF Radar Data CONVERGEProject CONVERGE

11. HF Radar Data CONVERGEProject CONVERGE

12. Glider Data - Temperature CONVERGE Project CONVERGE

13. Glider Data - Temperature CONVERGE Project CONVERGE

14. Glider Data - Chlorophyll CONVERGE Project CONVERGE

15. Glider Data - Chlorophyll CONVERGE Project CONVERGE