What is evidence? Thinking about Serial and science

What is evidence? In science, usually we think of evidence as a collection of the observations, measurements, and results of data analysis from an investigation of a phenomenon. But I think evidence isn’t just a set of these measurements. In order for it to be evidence and not just data, there also needs to be information about its relevance and appropriateness to answering a question or a claim. You can think of good evidence (data that was collected in a careful and thoughtful way and that supports your claim) or bad evidence (sloppily collected data, incomplete data, and/or data that doesn’t support your claim).

The podcast Serial came up during one of my research meetings today. We were talking through a transcript of a middle school science classroom and debating whether or not to apply one of codes to a particular utterance the teacher made. The topic of evidence was brought up and it made me think of Serial and how evidence is discussed on the show and how it is similar in a lot of ways to how we want students to talk about evidence in their science classes.
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NARST and AERA 2013

My “spring conference series” just ended. NARST (the conference formerly known as the National Association of Research on Science Teaching) was in early April (in Puerto Rico!) and AERA (American Educational Research Association) was about a week ago (here in San Francisco). Here are my notes and thoughts from the two conferences.

NARST

The big topic of the conference was, of course, the Next Generation Science Standards (NGSS) which officially were released at the tail end of the conference. Most people were referring to it during their presentations, even though we didn’t know exactly what it was yet. (Some people were conflating the new Framework with the new NGSS, but that’s a different story.)

There were a few presentations about one of the large studies that I am working on, an efficacy study of a middle school science curriculum. These presentations on some of our preliminary findings went well and I am really looking forward to next year’s conference when we will have even more results to report on and some awesome graphs to show.

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