The COVID-19 pandemic resulted in significant disruption in schooling worldwide. This paper uses global test score data to estimate learning losses. It models the effect of school closures on achievement by predicting the deviation of the most recent results from a linear trend using data from...

The implementation of the fee-free basic education policy (FBEP) in Tanzania since 2015 has led to consistent growth in the education sector. However, the rapidly increasing school-age population has been creating demands for additional resources and capacity that are often not met. Persistent...

This resource discusses the use of machine learning (ML) techniques in evaluation research and their potential to automate the process of extracting and classifying large amounts of texts. ML methods can accelerate the process of extracting and classifying content in evaluation research provided...

We use global and regional data to show that it is possible to use EdTech to improve student learning in EAP. We present evidence that the broadcast/dual teacher model often supports student learning gains, while other approaches, including assistive EdTech, show promise. Others, such as...

School closures induced by the COVID-19 pandemic led to concerns about student learning. This paper evaluates the effect of school closures on student learning in Uzbekistan, using a unique dataset that allows assessing change in learning over time. The findings show that test scores in math for...