#1251: Learning in the Wild: PAL's New Tools and Methods for Research in Early Childhood Mathematics

PAL (Personal Assistant for Learning) is an adaptive, smart learning system that operationalizes sociocultural theory, Knowledge Space Theory, and learning sciences principles to support and study early mathematics learning in real-world contexts. PAL guides parents and teachers to facilitate hands-on, socially mediated interactions aligned with each child’s Zone of Proximal Development while generating frequent, fine-grained evidence about children’s mathematical learning. The system integrates a research-grounded knowledge model, an explore–exploit adaptive engine, and a digital assessment system to provide personalized guidance and scalable, ecologically valid measurement. Early pilots show substantial gains in children’s learning and strong associations between adult engagement and child learning. Designed as a learning accelerator and a research platform, PAL provides the Learning Sciences community with a tool for examining learning trajectories, scaffolding dynamics, and conceptual and skill development as they naturally unfold across a child’s learning ecosystem—while producing evidence needed to connect research insights to practice at scale.