School Health Assessment and Data
Research shows that data-driven decision-making leads to improved student outcomes. Data-driven decision making is the process of collecting, analyzing, and interpreting meaningful school improvement data and using it to guide decisions about curriculum, instruction, teacher training, and resource allocation to make a positive impact on student learning. Data must be aligned and tied to student performance goals at the classroom, school, and district level.
Data can help school leaders assess a myriad of student, family, and community health needs. The data help to paint a broad picture of the school community, and can be used to initiate discussions about health concerns locally. (Rhode Island - THRIVE)
