Rationale

The market for autonomous and AI-enabled math learning tools has expanded faster than the independent evidence needed to justify large-scale capital allocation decisions. For a philanthropic funder or district leader deciding where to direct instructional technology funding, that imbalance is the real problem, as many platforms make ambitious claims about personalization and learning gains, but far fewer have subjected those claims to independent evaluation or replication across varied student populations.

ASSISTments is a free, teacher-integrated math platform operating as a nonprofit out of Worcester Polytechnic Institute. It represents a rare combination in a sector dominated by commercial vendors and autonomous-deployment models, with a mission-aligned structure, designed for teacher integration, and a research base that includes independently replicated positive effects under real school conditions. High-dosage tutoring programs like Saga Education achieve comparable effect sizes but at 50 to 100 times the per-student cost and without a technology platform capable of scaling beyond human capital constraints, making ASSISTments the more policy-relevant case for funders with broad deployment mandates.

Critically, an independent multi-district North Carolina replication study found statistically significant math gains persisting one year post-intervention, with effects most pronounced among Hispanic students and in higher-poverty schools, making this an unusually relevant case for funders whose capital targets equity-focused education in under-resourced school systems. 

In a market crowded with AI pitches, the more disciplined, teacher-anchored model is the wiser use of capital. This audit specifies the exact conditions under which that case holds.