Data Roll Throughs

Data Roll Throughs

As we look ahead ot our data roll through on Monday, a few reminders about the process, and the important impact our conversations have on instructional delivery.  

There are three main steps involved in data driven instruction:

• Data collection: Gather information from class assessments and standardized test results, as well as observations from the teacher, and create a database on information.
• Data analysis: Separate essential information from non-essential information. Watch for patterns and dive into the reasons behind these results. Draw conclusions and formulate teaching plans.
• Action: Make necessary adjustments, continue to collaborate, and monitor progress

There are several things to think about when analyzing student data: Why did these students miss key information taught in the class? Is there some sort of distraction that can be minimized? Did the way the information was presented have an effect on their understanding? 

And then plnning next steps includes thinking about how these students can be re-taught in such a way that the information sticks? If they understood other topics that were taught, how did they learn those topics, and how can you apply the same principles to re-teach the information they didn’t learn? Gathering the necessary data to answer the “what”, “why”, and “how” is the basis for data driven instruction.  

Looking forward to these converations on Monday!

Sue