How do teachers typically gather data for data-driven instruction?

Teachers typically gather data for data-driven instruction by analyzing student performance data. This approach provides a structured and objective way to assess how students are doing academically. By examining various forms of performance data—such as test scores, assignments, and assessments—teachers can identify patterns and trends in student learning. This analysis helps them understand what instructional strategies are working and which areas may need improvement.

Using performance data allows educators to make informed decisions about curriculum adjustments, instructional methods, and individual student interventions. It ensures that the teaching methods align with the actual learning needs of the students, ultimately leading to enhanced educational outcomes.

In contrast, relying mostly on personal experiences or conducting informal and casual dialogues with students may not yield reliable or comprehensive insights, as they can be subjective and may not reflect the broader academic performance. Moreover, focusing solely on formal tests could limit the understanding of a student's overall capabilities, as it may overlook other important factors such as classroom participation and other formative assessments.