The BreakdownMachine Learning
Takeaways from Our Investigation into Wisconsin’s Racially Inequitable Dropout Algorithm
Wisconsin’s Dropout Early Warning System (DEWS) scores every middle schooler based on income, race, and more
Machine Learning
Machine Learning
False Alarm: How Wisconsin Uses Race and Income to Label Students “High Risk”
The Markup found the state’s decade-old dropout prediction algorithms don’t work and may be negatively influencing how educators perceive students of color
Machine Learning
A Network of Fake Test Answer Sites Is Trying to Incriminate Students
But some experts say such “honeypots” are educational entrapment
Machine Learning
Help Us Investigate the Ed Tech Industry
There’s a booming business in classroom software—and in some cases, the data on students that it produces
Machine Learning
College Prep Software Naviance Is Selling Advertising Access to Millions of Students
The software, often required by schools, enables colleges and universities to choose from an array of demographics, including race, to target prospective students.
Machine Learning
This Private Equity Firm Is Amassing Companies That Collect Data on America’s Children
Vista Equity Partners has been buying up software used in schools. Parents want to know what the companies do with kids’ data
Machine Learning
NYC’s School Algorithms Cement Segregation. This Data Shows How
New numbers show how many students are locked out by the system
Machine Learning
Texas A&M Drops “Race” from Student Risk Algorithm Following Markup Investigation
Our investigation found major universities were using race as a predictor of student success and, in the process, steering Black kids away from the sciences
Machine Learning
Major Universities Are Using Race as a “High Impact Predictor” of Student Success
Students, professors, and education experts worry that that’s pushing Black students in particular out of math and science
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