What does evaluating with data in education typically involve?

Evaluating with data in education primarily involves analyzing student performance metrics because this approach allows educators and administrators to make informed decisions based on quantitative evidence. By examining data such as test scores, grades, attendance rates, and other measurable indicators of student progress, school leaders can identify trends, strengths, and areas needing improvement. This method enables a more objective assessment of educational outcomes and can effectively guide instructional strategies, resource allocation, and overall school improvement initiatives.

In contrast to this data-driven approach, relying on anecdotal evidence or personal observations can lead to biased conclusions that may not accurately reflect student achievement or needs. While conducting surveys can provide valuable insights into stakeholder perceptions, it does not produce the objective performance metrics that drive effective evaluation in education. Observing classroom dynamics can inform teaching practices, but it lacks the empirical data necessary for comprehensive assessment. Thus, the analysis of student performance metrics stands out as the most robust method for educational evaluation within the context of data usage.