Optimizing Perception Learning (OPL)

A multi-site, large-scale data collection and analysis project harnessing the potential of high variability for efficient teaching and learning of second language pronunciation. The project's goals are: Make sites comparable by fixing perception training features Make perception training generalizable by allowing sampling characteristics and target structures to vary Create room for individualization outside of the “core” by allowing researchers to add components a la carte at individual sites