Application of Machine Learning Using Unsupervised Models on Databases of University Students Under the Effect of COVID-19
摘要
The pandemic-induced school closures affected educational outcomes in 13 Latin American countries. Using national household surveys from 2020, Bracco et al. discovered that enrollment rates for individuals aged 6–24 declined by approximately two percentage points compared to previous years, equivalent to approximately three million students who dropped out or did not progress to the next educational level. The researchers also conducted microsimulations to project the long-term economic consequences of reduced human capital due to the pandemic.