Project Grant 2209819

This five-year, $1,049,958 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of an Experiments as a Service Infrastructure (EASI) at Carnegie Mellon University. EASI aims to lower barriers for conducting randomized experiments comparing alternative digital learning experiences and analyzing resulting data to rapidly improve educational resources. Specifically, the infrastructure will support 1) design of field experiments investigating learning theories, 2) sophisticated analysis of experiment data in the context of large-scale student profiles to identify effective interventions for subgroups, and 3) adaptive experimentation through a testbed evaluating algorithms that dynamically analyze data to enhance learning for future students. In addition to advancing learning science, analytics methods, and adaptive algorithms, EASI aligns educational communities around experimentation and spurs multidisciplinary collaboration through sharing of research designs, data, scripts, and algorithms while fostering an online community for training.