Designing efficient ways to measure academic growth is vital to becoming an effective educator. At Wheeler Middle School, we gather lots of quantitative and qualitative data for math. In terms of quantitative data in math, we primarily analyze iReady Diagnostic data, summative unit test data, and formative exit ticket data. In terms of qualitative data in math, we primarily analyze student work drawn out - math arithmetic and methods - as well as some written descriptions of mathematical thinking when solving problems.
Click on the links below to see how I use the combination of quantitative evidence as well as qualitative evidence to measure student growth.