Disaggregated data refers to the process of breaking down information into smaller, more specific categories for analysis. In education, this practice involves examining student performance and demographic data on a granular level, such as by gender, race, socioeconomic status, and English language proficiency. Disaggregated data analysis helps educators and policymakers identify achievement gaps and disparities among different student groups. By understanding these disparities, schools can develop targeted strategies to address the needs of marginalized or underperforming student populations, fostering a more inclusive and equitable learning environment.
A learning environment includes all elements that affect student learning, from physical spaces to social interactions and emotional support.
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