What is data-driven instruction?

Data-driven instruction refers to an informed decision-making process that is grounded in evidence derived from student learning data. This approach focuses on collecting and analyzing various forms of data, such as test scores, assessments, and other measurable indicators of student performance. By evaluating this data, educators can identify strengths and weaknesses in student understanding and adjust their teaching methods accordingly to improve student outcomes.

In the context of data-driven instruction, teachers are not reliant on gut feelings or anecdotal evidence, but rather make decisions based on solid, quantifiable information. This leads to targeted interventions, personalized learning experiences, and ultimately a more effective educational environment. This strategy ensures that instructional decisions are systematically aligned with students' actual needs, allowing for a more tailored and impactful approach to teaching and learning.