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Understanding and Responding to Fast Feedback Insights

What can I learn from the Fast Feedback Recap?

 

One of the most important strategies for integrating data into practice is to recognize patterns and identify when those patterns change. This is true no matter which of the visuals you are focused on. Make these questions part of your routine to understand and respond to whatever data you are viewing:

  • What is typical? 
  • When do I notice a difference from what is typical? 

 

 

What this visual can tell me:

  • the number of students in each class
  • the number of days that I gave feedback to each class across the selected date range
  • the percentage of weekdays I gave feedback (even if it was just to one class) across the selected date range

What this visual cannot tell me:

  • information about the level or type of feedback (average score, etc.) received
  • individual data for a student 
  • alerts or areas of concern about specific student or class needs

Engage with the data:

  • Which of my classes has the highest number of days with feedback? The lowest?

Reflect on practice:

  • What might be the reason for the difference between the class with the highest number of days with feedback and the class with the lowest?
  • How might these differences inform my approach to giving feedback over the next week?

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