Make Sense of Data

We have the data. Now what?

Make sense of data

"Collecting data is one thing, but making sense of them is something else. We want to use analytic techniques that are simple, direct, and effective" (Allen, 2004, p. 131).

What can we learn from these results?

Assessment Cycle Image - Make Sense

  • How do these results align with the target performance expectations? Are there differences between expected and actual results?
  • How do the results from direct and indirect evidence confirm, contradict, and/or challenge each other?
  • What story / stories about student performance related to program learning outcomes do the results support? 
  • What areas of strength to the results reveal?
  • What is working and should be continued? Scaled up?
  • What needs to change to improve student learning outcomes? 

Strategies for ensuring equitable and consistent assessment of learning.

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