If it’s our algorithms telling us that standardized tests aren’t helpful predictors for college success, should we let the algorithms themselves replace our requirements?
Reported by EdSurge, with so many colleges going test-optional after digging into their data, the question is whether the data is good enough now to create the requirements for us?
The takeaway? So, what are the better predictors? How do we get all that data from our past and existing students in order to inform the selection of our future ones? And how do we avoid equity issues or inherent bias in these decisions if our existing bias created the very data that powers these algorithms?
May you continue to fight the good enrollment growth fight at your institution today, and we’ll see you again tomorrow.
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