View district attendance and absence types for proper aid information. Analyze student performance in relation to absence frequency.
Evaluate the specific type and frequency of VADIR and non-VADIR infractions. Compare monthly data to find any problem time periods.
Analyze student information such as gender, ethnicity and enrollment trends for proper planning of facilities, faculty, and services.
Look at the district’s overall marking period and final course scores.
Track and analyze all local and NYS Regents assessments. Find students who have excelled and students who may need further instruction. Track SLO’s to help with APPR evaluations.
3-8 and User Defined Assessments
View students' Scale and Performance Level data for NYS 3-8 Assessments. Find all students with scores that indicate they may need extra help in certain areas. Import any non-NYS assessment data used in your district, such DIBELS or Fountas and Pinnell.
Any districts using standard-based grading can view core curriculum information.
Combines all of the other dashboards data for a single student view.
schooltoolIQ is a longitudinal data analysis product that provides everyday users with an easy way to view trends to help make better data-driven decisions.
schooltoolIQ can now be purchased as a standalone product or as a bundled package with schooltool.
As New York State continues to increase accountability standards across the state, districts are now required to submit more data to the warehouse. These data elements include student to teacher minutes, grades, teacher and principal information which all contribute to the Annual Professional Performance Review (APPR) plan. schooltoolIQ is determined to help districts access, view, and analyze their data in a way that helps users spot areas of strength and find areas that may need attention in order to increase their districts’ productivity.
schooltoolIQ improves this ability to analyze data by providing easy-to-use Dashboards that give both technical and non-technical users the ability to filter and link key educational terms. By doing so, they will be able to review cross-sectional data elements.
“How can we analyze factors that contribute to drop outs so we can be proactive in keeping our current At-Risk students in school?”
“How can we check student infraction data to look for trends in times, locations and types of infractions?”
“How can we trend student assessment yearly progress and analyze teacher performance?”