What does data-driven instruction primarily focus on?

Data-driven instruction primarily focuses on utilizing student assessments to guide decisions. This approach emphasizes the importance of collecting and analyzing data from various assessments to inform teaching practices and improve student learning outcomes. By closely examining students' performance on assessments, educators can identify strengths and weaknesses, tailor instruction to meet individual needs, and adjust their strategies based on what the data reveals. This iterative process of using data helps in making informed decisions that ultimately enhance student achievement.

In contrast, adhering strictly to a syllabus may not allow for the flexibility needed based on assessment data; simply incorporating technology does not guarantee that it is being used effectively to respond to student needs; and standardizing all classroom practices can stifle creativity and responsiveness that a data-driven approach seeks to cultivate.