paint-brush
Our Investigation into Wisconsin’s Racially Inequitable Dropout Algorithm: What We Found Outby@TheMarkup
1,090 reads
1,090 reads

Our Investigation into Wisconsin’s Racially Inequitable Dropout Algorithm: What We Found Out

by The Markup5mFebruary 23rd, 2024
Read on Terminal Reader
Read this story w/o Javascript
tldt arrow

Too Long; Didn't Read

But what many people, including school administrators and teachers, don’t know is that the algorithm uses factors outside of a student’s control—like race and free or reduced lunch-price status—to generate these predictions. Our investigation found that after a decade of use and millions of predictions, DEWS may be negatively influencing how educators perceive students of color. And the state has known since 2021 that the predictions aren’t fair.
featured image - Our Investigation into Wisconsin’s Racially Inequitable Dropout Algorithm: What We Found Out
The Markup HackerNoon profile picture
The Markup

The Markup

@TheMarkup

Nonprofit organization dedicated to data-driven tech accountability journalism & privacy protection.

About @TheMarkup
LEARN MORE ABOUT @THEMARKUP'S
EXPERTISE AND PLACE ON THE INTERNET.
L O A D I N G
. . . comments & more!

About Author

The Markup HackerNoon profile picture
The Markup@TheMarkup
Nonprofit organization dedicated to data-driven tech accountability journalism & privacy protection.

TOPICS

THIS ARTICLE WAS FEATURED IN...

Permanent on Arweave
Read on Terminal Reader
Read this story in a terminal
 Terminal
Read this story w/o Javascript
Read this story w/o Javascript
 Lite