CMU School of Drama


Tuesday, September 15, 2015

ScholarshipOwl uses big data, machine learning to fix the convoluted scholarship application process

Gigaom: Earlier this year, a bipartisan bill was put forward in Congress to fix one of the biggest impediments preventing hopeful American high school students from receiving an affordable higher education: the Free Application for Federal Student Aid, otherwise known as FAFSA.

Although it sounds ludicrous, the 10-page, 100 question document, which students (or, more likely, their families) are expected to complete in order to receive government-backed college grants or qualify for loans, has become so burdensome that some 2 million students who would have qualified for Pell grants in 2011 and 2012 did not file a FAFSA form, according to voxgov.com.

1 comment:

Alex Reed said...

Okay I’ll try anything once, but this site does sound a lot like the 80 billion other scholarship search engines out there I understand why they do and do not work. The first problem is they are all financed by advertisements, so before even getting got the scholarships I’m “matched” with I have to filter through dozens of “No Essay! Multiple Entries!” adds. The second thing and why I say matched so lightly, is that all of these sites are really impersonal, my options are limited to the hobbies and majors in listed in their drop down menus. So I get the same 100 scholarship matches that every other kid who did student government in high school. The process is so competitive and the sites only ever list the most popular scholarships. I got so tired of losing to the 2,000 other kids who applied to the same matches that I just gave up. So if this creator believe that he can make another, but better site, I’ll try it, but I doubt he can.