Big data analyses of educational achievement

Many important questions in education require analysing large and complex datasets including measures of environmental factors, cognitive skills, and educational achievement. We have access to several such datasets: The Eden cohort (N=400 to 1400), the DEPP 2007 panel (N=35 000), the DEPP 2011 panel, as well as more recent data from the national evaluations in 1st and 2nd grade (N=800 000). Other international datasets may also be available (e.g., IMAGEN, ABCD, Millenium cohort…).

Projects may bear on the following questions, among others:

• What are the early predictors of reading and math ability? to what extent are they mediated by early cognitive skills? to what extent do they differ between boys and girls?
• What are the early 1st grade predictors of subsequent reading acquisition?
• What are the characteristics of schools and teachers that produce superior achievement?
• Bring your own question!

Student profile: data science, statistics, econometrics, AI. Any other profile, but with strong analytical skills.