Predicting Student Dropout Risks, Increasing Graduation Rates with Cloud Analytics
Is it possible to predict whether students are at risk of dropping out of school? The Tacoma Public School district thinks so. Using predictive analytics tools based on Microsoft cloud technologies, the district is providing comprehensive data snapshots of student success indicators and has already helped to improve graduation rates from 55 to 78 percent. Microsoft Consulting Services (MCSs) worked with the district to develop a data warehouse solution that captures recent data from the district’s student information system, containing student grades, attendance, health records and other data.