Helping teachers give better track advising to students

Every year more than one million EU students receive high-school track recommendations from their teachers. There is no clear evidence that teachers are “good” at providing these recommendations. In fact, there is not even a consensus on what constitutes a “good” recommendation.

The goal of this project is to establish, using a Randomized Control Trial (RCT) and a well-defined metric based on Principal Stratification Analysis, whether teachers can give “better” recommendations with the assistance provided by algorithmic information based on standardized tests cores and specifically designed to help them in performing this task.

On this website, you may find all content related to the project.