Not exact matches
Forman asked, and answered: «He
analyzed school
data to help the school figure out how to boost the
attendance rate of
students who were chronic no - shows.»
Although many states collect
data on
attendance in their longitudinal
student data bases, the majority fail to make effective use of this
data to
analyze how many and which
students are chronically absent.
There should be an action plan for improving each content area based on current school realities or baseline
data from the most recent school assessments; a professional development plan aligned to the action plans; a technology plan; a plan for improving
student attendance and parent involvement; and a plan that outlines how
data will be utilized,
analyzed and interpreted.
To assist in that task, and ensure accountability,
student test
data,
attendance records, teacher feedback and other achievement information are carefully collected,
analyzed and applied on a classroom level.
Analyze individual
student data for
students who did not meet standards to determine if there is some correlation to their «opportunity to learn,» (e.g.,
attendance issues, disciplinary removal, or other practices that cause
students to miss instruction).
From here, develop a plan for how you can continue to
analyze multiple
data sources (including test scores,
attendance records,
student work, and
student observation) to confirm or refute your inferences about possible causes.