Given the interest in guest post on College Rankings done by AI, we point out paper with deeper description of algorithms, and we answer some questions.
What if, instead of relying on US & World Report subjective methods, we tried to rely on more object data analysis for college rankings? Here is one exploration of possibilities, using neural networks and the College Scorecard.
The Department of Education’s new tool for evaluating colleges is…uh…not so great.
It’s worth giving credit where credit is due, and the US Department of Education (ED) has fixed a problem that Russ Poulin and I pointed out where they had previously left ~700 colleges out of the College Scorecard. When the College Scorecard was announced, Russ noticed a handful of missing schools. When I did the […]
I have written several posts looking at the new College Scorecard and its inherent flaws in the data, often starting with observations from Russ Poulin at WCET. Today Susan Svrluga, education reporter at the Washington Post, posted a new article co-written by me and Russ and titled “Hundreds of colleges missing from Obama’s College Scorecard?”. The […]