ÜBER DIESE EPISODE
We naturally want to know the cause of things, we want to know why things happen and what makes things work or not work. But determining causation is not the same as discovering correlation. In this episode we'll talk through the differences in these two concepts and why it's important for educators to distinguish between correlation and causation.
Englisch
Vereinigte Staaten
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WEITERE EPISODEN IN DIESEM PODCAST
Why is data important to educators? Why should we consider using data to make decisions? In this introductory episode I'll present three reasons I think using data is important and lay a foundation for why learning how to use data in the classroom is important for all educators.
Not all test questions are created equal. But it's important to have good assessment items if we want to have quality data. So, what are the rules and best practices to ensuring that your teacher assessments have the best possible items? In this episode we'll cover the "3 Cs" o…
Multiple choice items are probably the most popular assessment item type for classroom teachers. To craft a quality multiple choice item, teachers must be aware of some common mistakes and best practices. We cover those in this episode in the hopes that assessments everywhere will benefit! Better…
Not all data is created equal. One of the first things you need to understand before using data is the difference between and the purpose of qualitative data and quantitative data. In this episode we'll talk about the difference and provide several examples of these data types. Once you know…
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