The article discusses the increasing number of college closures in the U.S. and explores how machine learning can address data gaps to forecast which institutions might close next. It highlights the potential of predictive analytics to provide insights into the future of higher education.
Key Points
- Rising trend of college closures in the U.S.
- Use of machine learning to fill data gaps
- Forecasting future closures for better planning
Implications for Educational Freedom
College closures may reduce options for higher education, underscoring the importance of school choice and innovative models like vouchers or charters to empower students and parents. This could highlight government overreach in funding, pushing for more freedom in educational pathways.
