Episode 117: Window Vs Door Data - podcast episode cover

Episode 117: Window Vs Door Data

Mar 04, 202613 min
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Episode description

This episode explores the importance of using both door and window data in identifying gifted learners, emphasizing the need for a holistic approach that includes multiple perspectives and ongoing observation.


🔑 Topics

  • Door data vs. window data in student assessment

  • The importance of multiple perspectives in identifying giftedness

  • Using observation, portfolios, and passions to see potential

  • The limitations of traditional testing methods

  • Strategies for incorporating window data into identification processes

 🔑 Takeaways

Relying solely on test scores (door data) can miss many gifted learners.

Window data includes observations, student work, passions, and multiple perspectives.

Looking over time and across contexts reveals deeper insights into student potential.

Passion projects and Genius Hour are effective ways to see student strengths.

A holistic approach to identification creates more equitable opportunities for gifted learners.


Resources / Links Mentioned

Classroom Connection / Try It Out

Take some time to intentionally consider the identification practices on your campus or in your district. Does it include both window and door data? If not, what is some window data that you might be able to add?
If you’d like to keep exploring this idea, I’d love to invite you into my free community, A Meaningful Mess. Inside, you’ll find exclusive resources and a space where you can continue the conversation beyond the podcast.

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