Surveying is a powerful tool for uncovering perception data. Whether it’s surveying your teachers for morale or efficacy perceptions, your community for satisfaction perceptions, or your students for their perceptions on their own learning, almost every school employs some form of perception survey.
We may argue about survey design, or over specific items in the survey, but I think the bigger problem is in the analysis and representation.
Are you beginning down a data path at your school? Or do you already consider your school to be data rich? Then I have a question for you:
Where does most of your data analysis effort live?
The beauty of using a coding language like R or Python, is that you can customize virtually every aspect of your visualization. With an eye for design, you can portray loads of information in one graphic.
One way to build positive data culture is to give teachers powerful data when they need it most. Too often teachers feel that their opinions go unheard; but backed by quantitative data and visualizations, they become much more difficult to ignore. (more…)
Data should empower. Data should provide insights. Data should inspire more questions. Without a positive framework, capacity building, and expertise – data is often thought of as scrutinizing, overly subjective, and a burden.
So let me propose my model: (more…)