This web tool is designed to help low-income high school students find affordable college and post-secondary education. ScholarMatcher is a searchable database and important resource for young people coming from households that earn less than $50,000 a year. While some might associate lower cost with lower quality, the free platform only lists high quality and financially viable schools.
ScholarMatcher currently has 296 affordable college establishments in their database for prospective students to be matched up with. From ScholarMath -- a non-profit organization that enables donors to help struggling students with monetary support -- the tool aggregates data on affordability factors including academic quality, student support, financial aid and post-graduate success rates.
Though university can be very expensive, this model could also be applied to other industries.
Quality Education Databases
The Tool Helps Low-Income Students Apply for Affordable College
Trend Themes
1. Affordable Education - This trend presents an opportunity for disruptive innovation by creating new ways to provide affordable education to low-income students.
2. Searchable Databases - This trend offers potential for disruptive innovation by developing new tools and platforms that help users easily search and access relevant information.
3. Data Aggregation - This trend provides an opportunity for disruptive innovation by creating advanced algorithms and systems that efficiently aggregate and analyze data from different sources.
Industry Implications
1. Education - The education industry can leverage this trend to disrupt traditional models by developing more affordable and accessible educational options for low-income students.
2. Technological Solutions - The technology industry can tap into this trend by creating innovative tools and platforms that enable users to easily search and access relevant information.
3. Data Analytics - The data analytics industry can benefit from this trend by developing advanced algorithms and systems that efficiently aggregate and analyze data from various sources.