Session 3 - Data Driven Dialogue

You should have identified the data you want to use with the data driven dialogue template. Have this ready to analyse as you work through each of the phases.

Before we even dive into the data, let's take a moment to activate our prior knowledge and surface any assumptions we might have. This step is crucial because our initial thoughts and beliefs can unintentionally influence how we interpret the data.

Think about what you expect to see in the data.

• What do you think you already know?
  • Reflect and record your preliminary thoughts about the data you're about to review.
  • For example, "I assume the data will show that most students are performing at their expected level."
• What do you predict the data will show?
  • Make predictions based on your past experiences with this class, your knowledge of the subject matter, and any general trends you've observed.
  • For example, "I predict the data will show that students are struggling with fractions."
• What are you curious to learn from the data?
  • Pose questions about the data that you are eager to explore.
  • For example, "I wonder if the data will show any patterns in student performance based on their learning style."
• What factors might be influencing your assumptions and predictions?
  • Consider what past experiences, biases, or even personal beliefs might be shaping your expectations.
  • For example, "My expectations are influenced by my past experiences with this grade level."

By explicitly acknowledging your initial thoughts and assumptions, you can approach the data with a more open and objective mindset in the next phase.

The audio clip will take you through Phase 1