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Welcome to my practical data use email for K–12 educators. Every other week I send an idea for practical data use that you can use today in your education job. I'll be including activities like these in my new book The K–12 Educator's Data Guidebook: Reimagining Practical Data Use in Schools, which will be out later this year. If this activity helps you, consider sharing it with a friend: 
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Activity: Organize, Learn, and Scale


There’s no getting around it: learning your brand of practical data use takes time. But why take more time than you need to? Here’s how to organize your data, learn on the job, and reach the most students, all in one workflow. 


What this Does


In this activity, you’ll set up a workflow to organize data, learn what data works best for you, and find new data sources to reach even more students. 


How This Can Help Us


Educators have a lot of data they could use. Through trial and error, they’ve got to learn which data serves their daily decision-making. And once they’ve learned that, they’ve got to keep that data coming efficiently so they can reach even more students. 

This activity connects three steps together in a chain: organize your data sources, use trial and error to learn what helps you the most, and scale with faster data sources. This will reduce the time it takes to find the most practical data. And it will help you act on it intentionally instead of feeling overwhelmed by the possibilities.
 

Instructions

 
  1. Make a list of the data sources available to you. Think broadly. Some examples are quiz scores, observation notes, state testing results, and reports from instructional software. 

  2. Sort these data sources into two columns:  In column A, list the data sources that you make and can improve on the job. These can include data sources like cumulative files, which you generally have control over even if you don't create all the data. In column B, list the data sources that someone else (usually a software company or education agency) makes for you. 

  3. In the first two weeks, spend the majority of your data work experimenting with the sources in column A. Revise how you use them until they reflect a strong connection between the data and your most important decisions. For more on this, see this past data activity email about the connection between job duties, key decisions, and data sources. 

  4. Once you can verbalize how you use the data sources in column A, look to column B for more efficient ways of getting similar data. Try this sentence frame: My favorite way to use data in column A is __________. I can try making that more efficient by experimenting with __________ in column B. 

Examples 

 

Example: List of Data Sources


Column A: Data You Make
  • Exit slips
  • Behavior trackers 
  • Quiz scores 
  • Cumulative files
Column B: Data Someone Else Makes 
  • Online assessments 
  • Student record systems 
  • Public enrollment data
 

Example: The Thought Process

I can enter exit slip results into a spreadsheet, then sort it to organize small groups for next week. Once I run the groups, I can use another round of exit slips to see how well the plan worked.

Two weeks later . . . 

I learned the exit slip data helped when I could sort the scores in a spreadsheet. The classroom software we use has a lot of reports. I wonder if I can sort scores, not only from last week’s assessment on expressions but also from the one on ratios before that? There might be more opportunities to reteach.

Notes 


I was inspired to write this data activity after I read this paper: Bill and Melinda Gates Foundation. "Teachers Know Best: Making Data Work for Teachers and Students," retrieved 22 May 2021, https://s3.amazonaws.com/edtech-production/reports/Gates-TeachersKnowBest-MakingDataWork.pdf
A couple more things before we close up: I've got a podcast with my colleague Joshua Rosenberg called About Practice. We talk about challenges and solutions for using research in everyday education jobs. It's super fun and you can subscribe on Spotify and Apple Podcasts.

And last, I wrote a book with some awesome people about using data science tools in the education field called Data Science in Education Using R. You can read it for free here and buy your print copy here.

That's all for now! More in a couple weeks!

-Ryan
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