Predicting student dropout risks, increasing graduation rates with cloud analytics

Pinboard (zephoria) 2015-07-01

Summary:

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.

Link:

https://customers.microsoft.com/Pages/CustomerStory.aspx?recid=20703&fbid=NOFBID&mtag=mbar-email

From feeds:

Data & Society ยป Pinboard (zephoria)

Tags:

education ecl dsreads machinelearning

Authors:

zephoria

Date tagged:

07/01/2015, 05:05

Date published:

06/11/2015, 22:56