Educators elusive goal of “Data-Driven Decisions” is now possible with Analytics from ReadWrite Digital
Multiple categories of data for each student gathered and organized in one place and accessible in a few keystrokes from any device.
Transform Student Data into Actionable Information
Students’ data resides in an ever-growing list of disconnected 3rd party software systems. Analytic‘s Integrator agents connect automatically to your 3rd party systems and automate the previously manual process of extracting data – meaning you are always working with up-to-date information.
Analytics organizes data so that multiple categories of multi-year data can be utilized to see the complete picture of factors affecting student performance. Our advanced data models have been built to enable Educators the ability to analyze student performance from many vantage points.
Data Visualization & Reports
Analytic‘s employs advanced grid technologies that allow users the ability to organize, sort and filter their peer data tables to gain new insights and the ability to isolate on subgroups of students for better teaching efficiencies.
Support for Education Frameworks
Educators and Educational Researchers continue to develop innovative frameworks for the management of student performance. ReadWrite Digital’s applications are designed to support the frameworks that our customers wish to deploy. Analytics supports frameworks through libraries of reports and analytics. Framework libraries will grow over time and through sharing of new reports and analytics among districts progress will be made.
Schools in over 40 states utilize the MTSS framework to manage student performance. Analytics supports schools employing MTSS frameworks through a library of data reports and analytics that allow educators to identify those students that are “On track,” “At risk.” or “Off track.” The system allows the flagging (color coding) of data values that exceed preset thresholds to more easily spot risk factors. Analytics supports multiple years of longitudinal data so that progress overtime insights can be determined.
Standard Data Categories
Early Warning System (EWS)
Analytics supports the MTSS Early Warning System risk factors through a configurable algorithm that can consider multiple categories of data to arrive at risk level assessments. The EWS tracks and can determine which Tier a student should be grouped. As risk trends exceed thresholds, alerts can be programmed to send.
Privacy & Security
ReadWrite Digital goes beyond FERPA and COPPA to ensure the privacy of your student data. All data is transmitted via encrypted channels and we can even use VPN to connect to your on premise systems if desired. We never share your data with third parties or anyone that is not in administration or a part of a students teaching team.
- Find any student or report in a few keystrokes through the search bar.
- Work with only the data you need for a particular analysis.
- Pin or move data columns in the order desired.
- Utilize filters on each column of data to create unique perspectives.
- Export data views for sharing through pdfs or csv downloads.
- Create Groupings of students according to data characteristics or demographics.