Machine Learning
Plagiarism Detection Tools Offer a False Sense of Accuracy
The tools that likely brought down Harvard president Claudine Gay are improperly used on students all the time
Machine Learning
Machine Learning
We’re Not Living a “Predicted” Life: Student Perspectives on Wisconsin’s Dropout Algorithm
Wisconsin took down its dropout predictions after a Markup investigation. Here’s what two students we featured have to say
Machine Learning
He Wanted Privacy. His College Gave Him None
A Markup examination of a typical college shows how students are subject to a vast and growing array of watchful tech, including homework trackers, test-taking software, and even license plate readers
Machine Learning
How to Keep Your Personal Data a Little More Private While Pursuing Higher Education
Tips for students, gleaned from our investigation into data collection by colleges
Machine Learning
AI Detection Tools Falsely Accuse International Students of Cheating
Stanford study found AI detectors are biased against non-native English speakers
The BreakdownMachine Learning
How to Buy Ed Tech That Isn’t Evil
Four critical questions parents and educators should be asking
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
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
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
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