Engage a diverse set of stakeholders to get input on
how student attendance data are collected and whether the data are accessible and understandable.
Not exact matches
provides status reports that demonstrate
how students and schools are doing based on
attendance records ~ emotional and behavioral health statistics ~ feedback from school climate surveys ~ and
data from school nurses and the physical education department.
As we struggle with
how to improve
student outcomes, we need to triangulate Level 1 «satellite»
data — test scores, D / F rates,
attendance rates — with Level 2 «map»
data — reading inventories, teacher - created common assessments,
student surveys — and Level 3 «street»
data, which can only be gathered through listening and close observation.
Yet a majority know not very much (32 percent) or nothing at all (30 percent) about
how schools currently collect, use, store and destroy
student data, including information such as social security numbers, grades and behavior and
attendance records.
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.
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.