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Thanks to everyone who joined last week's Data Sensemaking pilot webinar focused on using the "Zoom In" strategy in the context of the Megadrought in the Colorado River Basin Data Puzzle lesson. This lesson includes temperature and precipitation time series data from 1900-2023. Before looking at the entire 123-year record, webinar participants were asked to collaboratively highlight, comment, and draw on graphs representing three distinct time periods from the temperature and precipitation data: 1900-1950, 1950-2000, and 2000-present. Some participants noted extremes (highs and lows) across the distinct time periods, while others focused on trends and drew lines of best fit. Having "zoomed in" on these three time periods, the group then looked at the temperature and precipitation data for the entire 1900-2023 record and were quick to describe both short- and long-term patterns. Ultimately, participants discussed these patterns in the context of the lesson driving question, "What is causing the megadrought in the Colorado River Basin?"
Testimonials:
I like the idea of breaking down a larger scale into smaller parts. Doing so makes the information less overwhelming and allows students to make connections when it is time to look at it as a whole.
I like the idea of having students make lines of fit to look for trends and highlighting specific points that jump out at them on the data set. Instead of giving them guided questions I am now leaning towards them looking at the data set without the questions to try and see what they can come up with on their own- using the comment, annotate, etc.
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